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2. Obesity and survival among women with ovarian cancer: results from the Ovarian Cancer Association Consortium

Author

Nagle, CM, Dixon, SC, Jensen, A, Kjaer, SK, Modugno, F, deFazio, A, Fereday, S, Hung, J, Johnatty, SE, Fasching, PA, Beckmann, MW, Lambrechts, D, Vergote, I, Van Nieuwenhuysen, E, Lambrechts, S, Risch, HA, Rossing, MA, Doherty, JA, Wicklund, KG, Chang-Claude, J, Goodman, MT, Ness, RB, Moysich, K, Heitz, F, du Bois, A, Harter, P, Schwaab, I, Matsuo, K, Hosono, S, Goode, EL, Vierkant, RA, Larson, MC, Fridley, BL, Høgdall, C, Schildkraut, JM, Weber, RP, Cramer, DW, Terry, KL, Bandera, EV, Paddock, L, Rodriguez-Rodriguez, L, Wentzensen, N, Yang, HP, Brinton, LA, Lissowska, J, Høgdall, E, Lundvall, L, Whittemore, A, McGuire, V, Sieh, W, Rothstein, J, Sutphen, R, Anton-Culver, H, Ziogas, A, Pearce, CL, Wu, AH, and Webb, PM

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Prevention, Nutrition, Ovarian Cancer, Obesity, Rare Diseases, Cancer, Body Mass Index, Carcinoma, Ovarian Epithelial, Disease-Free Survival, Female, Humans, Kaplan-Meier Estimate, Neoplasms, Glandular and Epithelial, Ovarian Neoplasms, ovarian cancer, obesity, overall survival, progression-free survival, ovarian cancer-specific survival, Australian Ovarian Cancer Study Group, Ovarian Cancer Association Consortium, Public Health and Health Services, Oncology & Carcinogenesis, Oncology and carcinogenesis
Abstract

BackgroundObservational studies have reported a modest association between obesity and risk of ovarian cancer; however, whether it is also associated with survival and whether this association varies for the different histologic subtypes are not clear. We undertook an international collaborative analysis to assess the association between body mass index (BMI), assessed shortly before diagnosis, progression-free survival (PFS), ovarian cancer-specific survival and overall survival (OS) among women with invasive ovarian cancer.MethodsWe used original data from 21 studies, which included 12 390 women with ovarian carcinoma. We combined study-specific adjusted hazard ratios (HRs) using random-effects models to estimate pooled HRs (pHR). We further explored associations by histologic subtype.ResultsOverall, 6715 (54%) deaths occurred during follow-up. A significant OS disadvantage was observed for women who were obese (BMI: 30-34.9, pHR: 1.10 (95% confidence intervals (CIs): 0.99-1.23); BMI: ⩾35, pHR: 1.12 (95% CI: 1.01-1.25)). Results were similar for PFS and ovarian cancer-specific survival. In analyses stratified by histologic subtype, associations were strongest for women with low-grade serous (pHR: 1.12 per 5 kg m(-2)) and endometrioid subtypes (pHR: 1.08 per 5 kg m(-2)), and more modest for the high-grade serous (pHR: 1.04 per 5 kg m(-2)) subtype, but only the association with high-grade serous cancers was significant.ConclusionsHigher BMI is associated with adverse survival among the majority of women with ovarian cancer.

Published
2015

3. Lifetime ovulatory years and risk of epithelial ovarian cancer: a multinational pooled analysis

Author

Fu, Z., Brooks, M.M., Irvin, S., Jordan, S., Aben, K.K.H., Anton-Culver, H., Bandera, E.V., Beckmann, M.W., Berchuck, A., Brooks-Wilson, A., Chang-Claude, J., Cook, L.S., Cramer, D.W, Cushing-Haugen, K.L., Doherty, J.A., Ekici, A.B., Fasching, P.A., Fortner, R.T., Gayther, S.A., Gentry-Maharaj, A., Giles, G.G., Goode, E.L., Goodman, M.T., Harris, H.R., Hein, A., Kaaks, R., Kiemeney, L.A., Köbel, M., Kotsopoulos, J., Le, N.D., Lee, A.W.C., Matsuo, K., McGuire, V., McLaughlin, J.R., Menon, U., Milne, R.L., Moysich, K.B., Pearce, C.L., Pike, M.C., Qin, B., Ramus, S.J., Riggan, M.J., Rothstein, J.H., Schildkraut, J.M., Sieh, W., Sutphen, R., Terry, K.L., Thompson, P.J., Titus, L., Altena, A.M. van, White, E., Whittemore, A.S., Wu, A.H., Zheng, W., Ziogas, Argyrios, Taylor, S.E., Tang, L., Songer, T., Wentzensen, N., Webb, P.M., Risch, H.A., and Modugno, F.

Subjects
Cancer Research, All institutes and research themes of the Radboud University Medical Center, Oncology, Urological cancers Radboud Institute for Health Sciences [Radboudumc 15], Women's cancers Radboud Institute for Health Sciences [Radboudumc 17]
Abstract

Background The role of ovulation in epithelial ovarian cancer (EOC) is supported by the consistent protective effects of parity and oral contraceptive use. Whether these factors protect through anovulation alone remains unclear. We explored the association between lifetime ovulatory years (LOY) and EOC. Methods LOY was calculated using 12 algorithms. Odds ratios (ORs) and 95% confidence intervals (CIs) estimated the association between LOY or LOY components and EOC among 26 204 control participants and 21 267 case patients from 25 studies. To assess whether LOY components act through ovulation suppression alone, we compared beta coefficients obtained from regression models with expected estimates assuming 1 year of ovulation suppression has the same effect regardless of source. Results LOY was associated with increased EOC risk (OR per year increase = 1.014, 95% CI = 1.009 to 1.020 to OR per year increase = 1.044, 95% CI = 1.041 to 1.048). Individual LOY components, except age at menarche, also associated with EOC. The estimated model coefficient for oral contraceptive use and pregnancies were 4.45 times and 12- to 15-fold greater than expected, respectively. LOY was associated with high-grade serous, low-grade serous, endometrioid, and clear cell histotypes (ORs per year increase = 1.054, 1.040, 1.065, and 1.098, respectively) but not mucinous tumors. Estimated coefficients of LOY components were close to expected estimates for high-grade serous but larger than expected for low-grade serous, endometrioid, and clear cell histotypes. Conclusions LOY is positively associated with nonmucinous EOC. Differences between estimated and expected model coefficients for LOY components suggest factors beyond ovulation underlie the associations between LOY components and EOC in general and for non-HGSOC.

Published
2023

4. Shared heritability and functional enrichment across six solid cancers (vol 10, 431, 2019)

Author

Jiang, X., Finucane, H.K., Schumacher, F.R., Schmit, S.L., Tyrer, J.P., Han, Y., Michailidou, K., Lesseur, C., Kuchenbaecker, K.B., Dennis, J., Conti, D.V., Casey, G., Gaudet, M.M., Huyghe, J.R., Albanes, D., Aldrich, M.C., Andrew, A.S., Andrulis, I.L., Anton-Culver, H., Antoniou, A.C., Antonenkova, N.N., Arnold, S.M., Aronson, K.J., Arun, B.K., Bandera, E.V., Barkardottir, R.B., Barnes, D.R., Batra, J., Beckmann, M.W., Benitez, J., Benlloch, S., Berchuck, A., Berndt, S.I., Bickeboller, H., Bien, S.A., Blomqvist, C., Boccia, S., Bogdanova, N.V., Bojesen, S.E., Bolla, M.K., Brauch, H., Brenner, H., Brenton, J.D., Brook, M.N., Brunet, J., Brunnstrom, H., Buchanan, D.D., Burwinkel, B., Butzow, R., Cadoni, G., Caldes, T., Caligo, M.A., Campbell, I., Campbell, P.T., Cancel-Tassin, G., Cannon-Albright, L., Campa, D., Caporaso, N., Carvalho, A.L., Chan, A.T., Chang-Claude, J., Chanock, S.J., Chen, C., Christiani, D.C., Claes, K.B.M., Claessens, F., Clements, J., Collee, J.M., Correa, M.C., Couch, F.J., Cox, A., Cunningham, J.M., Cybulski, C., Czene, K., Daly, M.B., deFazio, A., Devilee, P., Diez, O., Gago-Dominguez, M., Donovan, J.L., Dork, T., Duell, E.J., Dunning, A.M., Dwek, M., Eccles, D.M., Edlund, C.K., Edwards, D.R.V., Ellberg, C., Evans, D.G., Fasching, P.A., Ferris, R.L., Liloglou, T., Figueiredo, J.C., Fletcher, O., Fortner, R.T., Fostira, F., Franceschi, S., Friedman, E., Gallinger, S.J., Ganz, P.A., Garber, J., Garcia-Saenz, J.A., Gayther, S.A., Giles, G.G., Godwin, A.K., Goldberg, M.S., Goldgar, D.E., Goode, E.L., Goodman, M.T., Goodman, G., Grankvist, K., Greene, M.H., Gronberg, H., Gronwald, J., Guenel, P., Hakansson, N., Hall, P., Hamann, U., Hamdy, F.C., Hamilton, R.J., Hampe, J., Haugen, A., Heitz, F., Herrero, R., Hillemanns, P., Hoffmeister, M., Hogdall, E., Hong, Y.C., Hopper, J.L., Houlston, R., Hulick, P.J., Hunter, D.J., Huntsman, D.G., Idos, G., Imyanitov, E.N., Ingles, S.A., Isaacs, C., Jakubowska, A., James, P., Jenkins, M.A., Johansson, M., John, E.M., Joshi, A.D., Kaneva, R., Karlan, B.Y., Kelemen, L.E., Kuhl, T., Khaw, K.T., Khusnutdinova, E., Kibel, A.S., Kiemeney, L.A., Kim, J., Kjaer, S.K., Knight, J.A., Kogevinas, M., Kote-Jarai, Z., Koutros, S., Kristensen, V.N., Kupryjanczyk, J., Lacko, M., Lam, S., Lambrechts, D., Landi, M.T., Lazarus, P., N.D. le, Lee, E., Lejbkowicz, F., Lenz, H.J., Leslie, G., Lessel, D., Lester, J., Levine, D.A., Li, L., Li, C.I., Lindblom, A., Lindor, N.M., Liu, G., Loupakis, F., Lubinski, J., Maehle, L., Maier, C., Mannermaa, A., Marchand, L., Margolin, S., May, T., McGuffog, L., Meindl, A., Middha, P., Miller, A., Milne, R.L., MacInnis, R.J., Modugno, F., Montagna, M., Moreno, V., Moysich, K.B., Mucci, L., Muir, K., Mulligan, A.M., Nathanson, K.L., Neal, D.E., Ness, A.R., Neuhausen, S.L., Nevanlinna, H., Newcomb, P.A., Newcomb, L.F., Nielsen, F.C., Nikitina-Zake, L., Nordestgaard, B.G., Nussbaum, R.L., Offit, K., Olah, E., Olama, A.A. al, Olopade, O.I., Olshan, A.F., Olsson, H., Osorio, A., Pandha, H., Park, J.Y., Pashayan, N., Parsons, M.T., Pejovic, T., Penney, K.L., Peters, W.H.M., Phelan, C.M., Phipps, A.I., Plaseska-Karanfilska, D., Pring, M., Prokofyeva, D., Radice, P., Stefansson, K., Ramus, S.J., Raskin, L., Rennert, G., Rennert, H.S., Rensburg, E.J., Riggan, M.J., Risch, H.A., Risch, A., Roobol, M.J., Rosenstein, B.S., Rossing, M.A., Ruyck, K., Saloustros, E., Sandler, D.P., Sawyer, E.J., Schabath, M.B., Schleutker, J., Schmidt, M.K., Setiawan, V.W., Shen, H.B., Siegel, E.M., Sieh, W., Singer, C.F., Slattery, M.L., Sorensen, K.D., Southey, M.C., Spurdle, A.B., Stanford, J.L., Stevens, V.L., Stintzing, S., Stone, J., Sundfeldt, K., Sutphen, R., Swerdlow, A.J., Tajara, E.H., Tangen, C.M., Tardon, A., Taylor, J.A., Teare, M.D., Teixeira, M.R., Terry, M.B., Terry, K.L., Thibodeau, S.N., Thomassen, M., Bjorge, L., Tischkowitz, M., Toland, A.E., Torres, D., Townsend, P.A., Travis, R.C., Tung, N., and Tworoger

Published
2019

5. No evidence that genetic variation in the myeloid-derived suppressor cell pathway influences ovarian cancer survival

Author

Sucheston-Campbell, LE, Cannioto, R, Clay, AI, Etter, JL, Eng, KH, Liu, S, Battaglia, S, Hu, Q, Brian Szender, J, Minlikeeva, A, Joseph, JM, Mayor, P, Abrams, SI, Segal, BH, Wallace, PK, Soh, KT, Zsiros, E, Anton-Culver, H, Bandera, EV, Beckmann, MW, Berchuck, A, Bjorge, L, Bruegl, A, Campbell, IG, Campbell, SP, Chenevix-Trench, G, Cramer, DW, Mieszkowska, AD, Dao, F, Diergaarde, B, Doerk, T, Doherty, JA, Du Bois, A, Eccles, D, Engelholm, SA, Fasching, PA, Gayther, SA, Gentry-Maharaj, A, Glasspool, RM, Goodman, MT, Gronwald, J, Harter, P, Hein, A, Heitz, F, Hillemmanns, P, Høgdall, C, Høgdall, EVS, Huzarski, T, Jensen, A, Johnatty, SE, Jung, A, Karlan, BY, Klapdor, R, Kluz, T, Konopka, B, Kjer, SK, Kupryjanczyk, J, Lambrechts, D, Lester, J, Lubinski, J, Levine, DA, Lundvall, L, McGuire, V, McNeish, IA, Menon, U, Modugno, F, Ness, RB, Orsulic, S, Paul, J, Pearce, CL, Pejovic, T, Pharoah, P, Ramus, SJ, Rothstein, J, Rossing, MA, Rubner, M, Schildkraut, JM, Schmalfeldt, B, Schwaab, I, Siddiqui, N, and Sieh, W

Subjects
endocrine system diseases, female genital diseases and pregnancy complications
Abstract

© 2016 American Association for Cancer Research. Background: The precise mechanism by which the immune system is adversely affected in cancer patients remains poorly understood, but the accumulation of immunosuppressive/protumorigenic myeloid-derived suppressor cells (MDSCs) is thought to be a prominent mechanism contributing to immunologic tolerance of malignant cells in epithelial ovarian cancer (EOC). To this end, we hypothesized genetic variation in MDSC pathway genes would be associated with survival after EOC diagnoses. Methods: We measured the hazard of death due to EOC within 10 years of diagnosis, overall and by invasive subtype, attributable to SNPs in 24 genes relevant in the MDSC pathway in 10,751 women diagnosed with invasive EOC. Versatile Gene-based Association Study and the admixture likelihood method were used to test gene and pathway associations with survival. Results: We did not identify individual SNPs that were significantly associated with survival after correction for multiple testing (P < 3.5 × 10-5), nor did we identify significant associations between the MDSC pathway overall, or the 24 individual genes and EOC survival. Conclusions: In this well-powered analysis, we observed no evidence that inherited variations in MDSC-associated SNPs, individual genes, or the collective genetic pathway contributed to EOC survival outcomes. Impact: Common inherited variation in genes relevant to MDSCs was not associated with survival in women diagnosed with invasive EOC.

Published
2017

6. Risk of Ovarian Cancer and the NF-? B Pathway: Genetic Association with IL1A and TNFSF10

Author

Charbonneau, B., Block, M. S., Bamlet, W. R., Vierkant, R. A., Kalli, K. R., Fogarty, Z., Rider, D. N., Sellers, T. A., Tworoger, S. S., Poole, E., Risch, H. A., Salvesen, H. B., Kiemeney, L. A., Baglietto, L., Giles, G. G., Severi, G., Trabert, B., Wentzensen, N., Chenevix-Trench, G., Whittemore, A. S., Sieh, W., Chang-Claude, J., Bandera, E. V., Orlow, I., Terry, K., Goodman, M. T., Thompson, P. J., Cook, L. S., Rossing, M. A., Ness, R. B., Narod, S. A., Kupryjanczyk, J., Lu, K., Butzow, R., Dork, T., Pejovic, T., Campbell, I., Le, N. D., Bunker, C. H., Bogdanova, N., Runnebaum, I. B., Eccles, D., Paul, J., Wu, A. H., Gayther, S. A., Hogdall, E., Heitz, F., Kaye, S. B., Karlan, B. Y., Anton-Culver, H., Gronwald, J., Hogdall, C. K., Lambrechts, D., Fasching, P. A., Menon, U., Schildkraut, J., Pearce, C. L., Levine, D. A., Kjaer, S. K., Cramer, D., Flanagan, J. M., Phelan, C. M., Brown, R., Massuger, L. F. A. G., Song, H., Doherty, J. A., Krakstad, C., Liang, D., Odunsi, K., Berchuck, A., Jensen, A., Lubinski, J., Nevanlinna, H., Bean, Y. T., Lurie, G., Ziogas, A., Walsh, C., Despierre, E., Brinton, L., Hein, A., Rudolph, A., Dansonka-Mieszkowska, A., Olson, S. H., Harter, P., Tyrer, J., Vitonis, A. F., Brooks-Wilson, A., Aben, K. K., Pike, M. C., Ramus, S. J., Wik, E., Cybulski, C., Lin, J., Sucheston, L., Edwards, R., McGuire, V., Lester, J., du Bois, A., Lundvall, L., Wang-Gohrke, S., Szafron, L. M., Lambrechts, S., Yang, H., Beckmann, M. W., Pelttari, L. M., Van Altena, A. M., van den Berg, D., Halle, M. K., Gentry-Maharaj, A., Schwaab, I., Chandran, U., Menkiszak, J., Ekici, A. B., Wilkens, L. R., Leminen, A., Modugno, F., Friel, G., Rothstein, J. H., Vergote, I., Garcia-Closas, M., Hildebrandt, M. A. T., Sobiczewski, P., Kelemen, L. E., Pharoah, P. D. P., Moysich, K., Knutson, K. L., Cunningham, J. M., Fridley, B. L., and Goode, E. L.

Published
2014
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7. BRCA2 polymorphic stop codon K3326X and the risk of breast, prostate, and ovarian cancers

Author

Meeks, H.D., Song, H.L., Michailidou, K., Bolla, M.K., Dennis, J., Wang, Q., Barrowdale, D., Frost, D., McGuffog, L., Ellis, S., Feng, B.J., Buys, S.S., Hopper, J.L., Southey, M.C., Tesoriero, A., James, P.A., Bruinsma, F., Campbell, I.G., Broeks, A., Schmidt, M.K., Hogervorst, F.B.L., Beckman, M.W., Fasching, P.A., Fletcher, O., Johnson, N., Sawyer, E.J., Riboli, E., Banerjee, S., Menon, U., Tomlinson, I., Burwinkel, B., Hamann, U., Marme, F., Rudolph, A., Janavicius, R., Tihomirova, L., Tung, N., Garber, J., Cramer, D., Terry, K.L., Poole, E.M., Tworoger, S.S., Dorfling, C.M., Rensburg, E.J. van, Godwin, A.K., Guenel, P., Truong, T., Stoppa-Lyonnet, D., Damiola, F., Mazoyer, S., Sinilnikova, O.M., Isaacs, C., Maugard, C., Bojesen, S.E., Flyger, H., Gerdes, A.M., Hansen, T.V.O., Jensen, A., Kjaer, S.K., Hogdall, C., Hogdall, E., Pedersen, I.S., Thomassen, M., Benitez, J., Gonzalez-Neira, A., Osorio, A., Hoya, M. de la, Segura, P.P., Diez, O., Lazaro, C., Brunet, J., Anton-Culver, H., Eunjung, L., John, E.M., Neuhausen, S.L., Ding, Y.C., Castillo, D., Weitzel, J.N., Ganz, P.A., Nussbaum, R.L., Chan, S.B., Karlan, B.Y., Lester, J., Wu, A., Gayther, S., Ramus, S.J., Sieh, W., Whittermore, A.S., Monteiro, A.N.A., Phelan, C.M., Terry, M.B., Piedmonte, M., Offit, K., Robson, M., Levine, D., Moysich, K.B., Cannioto, R., Olson, S.H., Daly, M.B., Nathanson, K.L., Domchek, S.M., Lu, K.H., Liang, D., Hildebrant, M.A.T., Ness, R., Modugno, F., Pearce, L., Goodman, M.T., Thompson, P.J., Brenner, H., Butterbach, K., Meindl, A., Hahnen, E., Wappenschmidt, B., Brauch, H., Bruning, T., Blomqvist, C., Khan, S., Nevanlinna, H., Pelttari, L.M., Aittomaki, K., Butzow, R., Bogdanova, N.V., Dork, T., Lindblom, A., Margolin, S., Rantala, J., Kosma, V.M., Mannermaa, A., Lambrechts, D., Neven, P., Claes, K.B.M., Maerken, T. van, Chang-Claude, J., Flesch-Janys, D., Heitz, F., Varon-Mateeva, R., Peterlongo, P., Radice, P., Viel, A., Barile, M., Peissel, B., Manoukian, S., Montagna, M., Oliani, C., Peixoto, A., Teixeira, M.R., Collavoli, A., Hallberg, E., Olson, J.E., Goode, E.L., Hart, S.N., Shimelis, H., Cunningham, J.M., Giles, G.G., Milne, R.L., Healey, S., Tucker, K., Haiman, C.A., Henderson, B.E., Goldberg, M.S., Tischkowitz, M., Simard, J., Soucy, P., Eccles, D.M., N. le, Borresen-Dale, A.L., Kristensen, V., Salvesen, H.B., Bjorge, L., Bandera, E.V., Risch, H., Zheng, W., Beeghly-Fadiel, A., Cai, H., Pylkas, K., Tollenaar, R.A.E.M., Ouweland, A.M.W. van der, Andrulis, I.L., Knight, J.A., Narod, S., Devilee, P., Winqvist, R., Figueroa, J., Greene, M.H., Mai, P.L., Loud, J.T., Garcia-Closas, M., Schoemaker, M.J., Czene, K., Darabi, H., McNeish, I., Siddiquil, N., Glasspool, R., Kwong, A., Park, S.K., Teo, S.H., Yoon, S.Y., Matsuo, K., Hosono, S., Woo, Y.L., Gao, Y.T., Foretova, L., Singer, C.F., Rappaport-Feurhauser, C., Friedman, E., Laitman, Y., Rennert, G., Imyanitov, E.N., Hulick, P.J., Olopade, O.I., Senter, L., Olah, E., Doherty, J.A., Schildkraut, J., Koppert, L.B., Kiemeney, L.A., Massuger, L.F.A.G., Cook, L.S., Pejovic, T., Li, J.M., Borg, A., Ofverholm, A., Rossing, M.A., Wentzensen, N., Henriksson, K., Cox, A., Cross, S.S., Pasini, B.J., Shah, M., Kabisch, M., Torres, D., Jakubowska, A., Lubinski, J., Gronwald, J., Agnarsson, B.A., Kupryjanczyk, J., Moes-Sosnowska, J., Fostira, F., Konstantopoulou, I., Slager, S., Jones, M., Antoniou, A.C., Berchuck, A., Swerdlow, A., Chenevix-Trench, G., Dunning, A.M., Pharoah, P.D.P., Hall, P., Easton, D.F., Couch, F.J., Spurdle, A.B., Goldgar, D.E., EMBRACE, kConFab Investigators, Australia Ovarian Canc Study Grp, HEBON, GEMO Study Collaborators, OCGN, PRostate Canc Assoc Grp, Damage and Repair in Cancer Development and Cancer Treatment (DARE), Targeted Gynaecologic Oncology (TARGON), Clinical Genetics, Obstetrics & Gynecology, Surgery, and [ 1 ] Univ Utah, Huntsman Canc Inst, Canc Control & Populat Sci, Salt Lake City, UT USA [ 2 ] Univ Cambridge, Dept Oncol, Ctr Canc Genet Epidemiol, Cambridge, England [ 3 ] Univ Cambridge, Dept Publ Hlth & Primary Care, Ctr Canc Genet Epidemiol, Cambridge, England [ 4 ] Univ Utah, Sch Med, Huntsman Canc Inst, Dept Dermatol, 2000 Circle Hope Dr, Salt Lake City, UT 84112 USA [ 5 ] Univ Utah, Sch Med, Dept Med, Huntsman Canc Inst, Salt Lake City, UT USA [ 6 ] Univ Melbourne, Melbourne Sch Populat & Global Hlth, Ctr Epidemiol & Biostat, Melbourne, Vic, Australia [ 7 ] Univ Melbourne, Dept Pathol, Melbourne, Vic, Australia [ 8 ] Univ Melbourne, Dept Pathol, Genet Epidemiol Lab, Parkville, Vic 3052, Australia [ 9 ] KConFab Kathleen Cuningham Consortium Res Familia, Peter MacCallum Canc Ctr, Melbourne, Vic, Australia [ 10 ] Peter MacCallum Canc Ctr, Familial Canc Ctr, Melbourne, Vic, Australia [ 11 ] Univ Melbourne, Dept Oncol, Melbourne, Vic, Australia [ 12 ] Canc Council Victoria, Canc Epidemiol Ctr, Melbourne, Vic, Australia [ 13 ] Univ Melbourne, Peter MacCallum Canc Ctr, Sir Peter MacCallum Dept Oncol, Parkville, Vic 3052, Australia [ 14 ] QIMR Berghofer Med Res Inst, Canc Div, Brisbane, Qld, Australia [ 15 ] Peter MacCallum Canc Inst, East Melbourne, Vic, Australia [ 16 ] Antoni van Leeuwenhoek Hosp, Netherlands Canc Inst, Amsterdam, Netherlands [ 17 ] Netherlands Canc Inst, Family Canc Clin, Amsterdam, Netherlands [ 18 ] Netherlands Canc Inst, Hereditary Breast & Ovarian Canc Res Grp Netherla, Coordinating Ctr, Amsterdam, Netherlands [ 19 ] Univ Erlangen Nurnberg, Comprehens Canc Ctr Erlangen EMN, Univ Hosp Erlangen, Dept Gynaecol & Ostetr, D-91054 Erlangen, Germany [ 20 ] Univ Calif Los Angeles, David Geffen Sch Med, Dept Med, Div Hematol & Oncol, Los Angeles, CA 90095 USA [ 21 ] Inst Canc Res, Div Breast Canc Res, London SW3 6JB, England [ 22 ] Inst Canc Res, Breakthrough Breast Canc Res Ctr, London SW3 6JB, England [ 23 ] Guys Hosp, Kings Coll London, Div Canc Studies, Res Oncol, London SE1 9RT, England [ 24 ] Univ London Imperial Coll Sci Technol & Med, Sch Publ Hlth, Dept Epidemiol & Biostat, London, England [ 25 ] Royal Marsden NHS Fdn Trust, London, England [ 26 ] Univ Coll London Elizabeth Garrett Anderson EGA, Inst Womens Hlth, Womens Canc, London, England [ 27 ] Univ Oxford, Wellcome Trust Ctr Human Genet, Oxford, England [ 28 ] Univ Oxford, Oxford Biomed Res Ctr, Oxford, England [ 29 ] German Canc Res Ctr, Div Mol Genet Epidemiol, Heidelberg, Germany [ 30 ] German Canc Res Ctr, Mol Genet Breast Canc, Heidelberg, Germany [ 31 ] Heidelberg Univ, Dept Obstet & Gynecol, Heidelberg, Germany [ 32 ] Heidelberg Univ, Natl Ctr Tumor Dis, Heidelberg, Germany [ 33 ] German Canc Res Ctr, Div Canc Epidemiol, Heidelberg, Germany [ 34 ] State Res Inst Ctr Innovat Med, Vilnius, Lithuania [ 35 ] Latvian Biomed Res & Study Ctr, Riga, Latvia [ 36 ] Beth Israel Deaconess Med Ctr, Dept Med Oncol, Boston, MA 02215 USA [ 37 ] Dana Farber Canc Inst, Canc Risk & Prevent Clin, Boston, MA 02115 USA [ 38 ] Brigham & Womens Hosp, Obstet & Gynecol Epidemiol Ctr, 75 Francis St, Boston, MA 02115 USA [ 39 ] 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Greece [ 232 ] Duke Univ, Med Ctr, Dept Obstet & Gynecol, Durham, NC 27710 USA

Subjects
0301 basic medicine, Oncology, Male, Cancer Research, endocrine system diseases, LOCI, Estrogen receptor, FAMILY-HISTORY, Prostate cancer, 0302 clinical medicine, Ovarian Neoplasms/pathology, Prostate, Risk Factors, Brjóstakrabbamein, Odds Ratio, skin and connective tissue diseases, Ovarian Neoplasms, Women's cancers Radboud Institute for Molecular Life Sciences [Radboudumc 17], Prostatic Neoplasms/genetics, Research Support, Non-U.S. Gov't, SINGLE-NUCLEOTIDE POLYMORPHISMS, Middle Aged, BRCA2 Protein/genetics, PANCREATIC-CANCER, 3. Good health, SUSCEPTIBILITY GENE, medicine.anatomical_structure, Urological cancers Radboud Institute for Health Sciences [Radboudumc 15], 030220 oncology & carcinogenesis, Codon, Terminator, Female, Risk Factors Substances, Adult, medicine.medical_specialty, Heterozygote, Breast Neoplasms, Blöðruhálskirtilskrabbamein, Breast Neoplasms/genetics, Biology, Polymorphism, Single Nucleotide, Risk Assessment, Article, Ovarian Neoplasms/genetics, 03 medical and health sciences, Breast cancer, SDG 3 - Good Health and Well-being, Research Support, N.I.H., Extramural, Internal medicine, Pancreatic cancer, Krabbameinsrannsóknir, medicine, Journal Article, Humans, Genetic Predisposition to Disease, Neoplasm Invasiveness, Lysine/genetics, Krabbamein, Aged, Gynecology, BRCA2 Protein, Proportional hazards model, Lysine, DNA RECOMBINATION, CONSORTIUM, GERM-LINE MUTATION, Prostatic Neoplasms, Odds ratio, Arfgengi, medicine.disease, ESTROGEN-RECEPTOR, 030104 developmental biology, Logistic Models, PTT12, Eggjastokkar, FANCONI-ANEMIA, Ovarian cancer
Abstract

Contains fulltext : 172007.pdf (Publisher’s version ) (Closed access) BACKGROUND: The K3326X variant in BRCA2 (BRCA2*c.9976A>T; p.Lys3326*; rs11571833) has been found to be associated with small increased risks of breast cancer. However, it is not clear to what extent linkage disequilibrium with fully pathogenic mutations might account for this association. There is scant information about the effect of K3326X in other hormone-related cancers. METHODS: Using weighted logistic regression, we analyzed data from the large iCOGS study including 76 637 cancer case patients and 83 796 control patients to estimate odds ratios (ORw) and 95% confidence intervals (CIs) for K3326X variant carriers in relation to breast, ovarian, and prostate cancer risks, with weights defined as probability of not having a pathogenic BRCA2 variant. Using Cox proportional hazards modeling, we also examined the associations of K3326X with breast and ovarian cancer risks among 7183 BRCA1 variant carriers. All statistical tests were two-sided. RESULTS: The K3326X variant was associated with breast (ORw = 1.28, 95% CI = 1.17 to 1.40, P = 5.9x10(-) (6)) and invasive ovarian cancer (ORw = 1.26, 95% CI = 1.10 to 1.43, P = 3.8x10(-3)). These associations were stronger for serous ovarian cancer and for estrogen receptor-negative breast cancer (ORw = 1.46, 95% CI = 1.2 to 1.70, P = 3.4x10(-5) and ORw = 1.50, 95% CI = 1.28 to 1.76, P = 4.1x10(-5), respectively). For BRCA1 mutation carriers, there was a statistically significant inverse association of the K3326X variant with risk of ovarian cancer (HR = 0.43, 95% CI = 0.22 to 0.84, P = .013) but no association with breast cancer. No association with prostate cancer was observed. CONCLUSIONS: Our study provides evidence that the K3326X variant is associated with risk of developing breast and ovarian cancers independent of other pathogenic variants in BRCA2. Further studies are needed to determine the biological mechanism of action responsible for these associations.

Published
2016

8. PALB2, CHEK2 and ATM rare variants and cancer risk:data from COGS

Author

Southey, M. C. (Melissa C.), Goldgar, D. E. (David E.), Winqvist, R. (Robert), Pylkäs, K. (Katri), Couch, F. (Fergus), Tischkowitz, M. (Marc), Foulkes, W. D. (William D.), Dennis, J. (Joe), Michailidou, K. (Kyriaki), van Rensburg, E. J. (Elizabeth J.), Heikkinen, T. (Tuomas), Nevanlinna, H. (Heli), Hopper, J. L. (John L.), Doerk, T. (Thilo), Claes, K. B. (Kathleen B. M.), Reis-Filho, J. (Jorge), Teo, Z. L. (Zhi Ling), Radice, P. (Paolo), Catucci, I. (Irene), Peterlongo, P. (Paolo), Tsimiklis, H. (Helen), Odefrey, F. A. (Fabrice A.), Dowty, J. G. (James G.), Schmidt, M. K. (Marjanka K.), Broeks, A. (Annegien), Hogervorst, F. B. (Frans B.), Verhoef, S. (Senno), Carpenter, J. (Jane), Clarke, C. (Christine), Scott, R. J. (Rodney J.), Fasching, P. A. (Peter A.), Haeberle, L. (Lothar), Ekici, A. B. (Arif B.), Beckmann, M. W. (Matthias W.), Peto, J. (Julian), dos-Santos-Silva, I. (Isabel), Fletcher, O. (Olivia), Johnson, N. (Nichola), Bolla, M. K. (Manjeet K.), Sawyer, E. J. (Elinor J.), Tomlinson, I. (Ian), Kerin, M. J. (Michael J.), Miller, N. (Nicola), Marme, F. (Federik), Burwinkel, B. (Barbara), Yang, R. (Rongxi), Guenel, P. (Pascal), Menegaux, F. (Florence), Sanchez, M. (Marie), Bojesen, S. (Stig), Nielsen, S. F. (Sune F.), Flyger, H. (Henrik), Benitez, J. (Javier), Pilar Zamora, M. (M.), Arias Perez, J. I. (Jose Ignacio), Menendez, P. (Primitiva), Anton-Culver, H. (Hoda), Neuhausen, S. (Susan), Ziogas, A. (Argyrios), Clarke, C. A. (Christina A.), Brenner, H. (Hermann), Arndt, V. (Volker), Stegmaier, C. (Christa), Brauch, H. (Hiltrud), Bruening, T. (Thomas), Ko, Y.-D. (Yon-Dschun), Muranen, T. A. (Taru A.), Aittomaki, K. (Kristiina), Blomqvist, C. (Carl), Bogdanova, N. V. (Natalia V.), Antonenkova, N. N. (Natalia N.), Lindblom, A. (Annika), Margolin, S. (Sara), Mannermaa, A. (Arto), Kataja, V. (Vesa), Kosma, V.-M. (Veli-Matti), Hartikainen, J. M. (Jaana M.), Spurdle, A. B. (Amanda B.), Wauters, E. (Els), Smeets, D. (Dominiek), Beuselinck, B. (Benoit), Floris, G. (Giuseppe), Chang-Claude, J. (Jenny), Rudolph, A. (Anja), Seibold, P. (Petra), Flesch-Janys, D. (Dieter), Olson, J. E. (Janet E.), Vachon, C. (Celine), Pankratz, V. S. (Vernon S.), McLean, C. (Catriona), Haiman, C. A. (Christopher A.), Henderson, B. E. (Brian E.), Schumacher, F. (Fredrick), Le Marchand, L. (Loic), Kristensen, V. (Vessela), Alnaes, G. G. (Grethe Grenaker), Zheng, W. (Wei), Hunter, D. J. (David J.), Lindstrom, S. (Sara), Hankinson, S. E. (Susan E.), Kraft, P. (Peter), Andrulis, I. (Irene), Knight, J. A. (Julia A.), Glendon, G. (Gord), Mulligan, A. M. (Anna Marie), Jukkola-Vuorinen, A. (Arja), Grip, M. (Mervi), Kauppila, S. (Saila), Devilee, P. (Peter), Tollenaar, R. A. (Robert A. E. M.), Seynaeve, C. (Caroline), Hollestelle, A. (Antoinette), Garcia-Closas, M. (Montserrat), Figueroa, J. (Jonine), Chanock, S. J. (Stephen J.), Lissowska, J. (Jolanta), Czene, K. (Kamila), Darabi, H. (Hatef), Eriksson, M. (Mikael), Eccles, D. M. (Diana M.), Rafiq, S. (Sajjad), Tapper, W. J. (William J.), Gerty, S. M. (Sue M.), Hooning, M. J. (Maartje J.), Martens, J. W. (John W. M.), Collee, J. M. (J. Margriet), Tilanus-Linthorst, M. (Madeleine), Hall, P. (Per), Li, J. (Jingmei), Brand, J. S. (Judith S.), Humphreys, K. (Keith), Cox, A. (Angela), Reed, M. W. (Malcolm W. R.), Luccarini, C. (Craig), Baynes, C. (Caroline), Dunning, A. M. (Alison M.), Hamann, U. (Ute), Torres, D. (Diana), Ulmer, H. U. (Hans Ulrich), Ruediger, T. (Thomas), Jakubowska, A. (Anna), Lubinski, J. (Jan), Jaworska, K. (Katarzyna), Durda, K. (Katarzyna), Slager, S. (Susan), Toland, A. E. (Amanda E.), Ambrosone, C. B. (Christine B.), Yannoukakos, D. (Drakoulis), Swerdlow, A. (Anthony), Ashworth, A. (Alan), Orr, N. (Nick), Jones, M. (Michael), Gonzalez-Neira, A. (Anna), Pita, G. (Guillermo), Rosario Alonso, M. (M.), Alvarez, N. (Nuria), Herrero, D. (Daniel), Tessier, D. C. (Daniel C.), Vincent, D. (Daniel), Bacot, F. (Francois), Simard, J. (Jacques), Dumont, M. (Martine), Soucy, P. (Penny), Eeles, R. (Rosalind), Muir, K. (Kenneth), Wiklund, F. (Fredrik), Gronberg, H. (Henrik), Schleutker, J. (Johanna), Nordestgaard, B. G. (Borge G.), Weischer, M. (Maren), Travis, R. C. (Ruth C.), Neal, D. (David), Donovan, J. L. (Jenny L.), Hamdy, F. C. (Freddie C.), Khaw, K.-T. (Kay-Tee), Stanford, J. L. (Janet L.), Blot, W. J. (William J.), Thibodeau, S. (Stephen), Schaid, D. J. (Daniel J.), Kelley, J. L. (Joseph L.), Maier, C. (Christiane), Kibel, A. S. (Adam S.), Cybulski, C. (Cezary), Cannon-Albright, L. (Lisa), Butterbach, K. (Katja), Park, J. (Jong), Kaneva, R. (Radka), Batra, J. (Jyotsna), Teixeira, M. R. (Manuel R.), Kote-Jarai, Z. (Zsofia), Al Olama, A. A. (Ali Amin), Benlloch, S. (Sara), Renner, S. P. (Stefan P.), Hartmann, A. (Arndt), Hein, A. (Alexander), Ruebner, M. (Matthias), Lambrechts, D. (Diether), Van Nieuwenhuysen, E. (Els), Vergote, I. (Ignace), Lambretchs, S. (Sandrina), Doherty, J. A. (Jennifer A.), Rossing, M. A. (Mary Anne), Nickels, S. (Stefan), Eilber, U. (Ursula), Wang-Gohrke, S. (Shan), Odunsi, K. (Kunle), Sucheston-Campbell, L. E. (Lara E.), Friel, G. (Grace), Lurie, G. (Galina), Killeen, J. L. (Jeffrey L.), Wilkens, L. R. (Lynne R.), Goodman, M. T. (Marc T.), Runnebaum, I. (Ingo), Hillemanns, P. A. (Peter A.), Pelttari, L. M. (Liisa M.), Butzow, R. (Ralf), Modugno, F. (Francesmary), Edwards, R. P. (Robert P.), Ness, R. B. (Roberta B.), Moysich, K. B. (Kirsten B.), du Bois, A. (Andreas), Heitz, F. (Florian), Harter, P. (Philipp), Kommoss, S. (Stefan), Karlan, B. Y. (Beth Y.), Walsh, C. (Christine), Lester, J. (Jenny), Jensen, A. (Allan), Kjaer, S. K. (Susanne Kruger), Hogdall, E. (Estrid), Peissel, B. (Bernard), Bonanni, B. (Bernardo), Bernard, L. (Loris), Goode, E. L. (Ellen L.), Fridley, B. L. (Brooke L.), Vierkant, R. A. (Robert A.), Cunningham, J. M. (Julie M.), Larson, M. C. (Melissa C.), Fogarty, Z. C. (Zachary C.), Kalli, K. R. (Kimberly R.), Liang, D. (Dong), Lu, K. H. (Karen H.), Hildebrandt, M. A. (Michelle A. T.), Wu, X. (Xifeng), Levine, D. A. (Douglas A.), Dao, F. (Fanny), Bisogna, M. (Maria), Berchuck, A. (Andrew), Iversen, E. S. (Edwin S.), Marks, J. R. (Jeffrey R.), Akushevich, L. (Lucy), Cramer, D. W. (Daniel W.), Schildkraut, J. (Joellen), Terry, K. L. (Kathryn L.), Poole, E. M. (Elizabeth M.), Stampfer, M. (Meir), Tworoger, S. S. (Shelley S.), Bandera, E. V. (Elisa V.), Orlow, I. (Irene), Olson, S. H. (Sara H.), Bjorge, L. (Line), Salvesen, H. B. (Helga B.), van Altena, A. M. (Anne M.), Aben, K. K. (Katja K. H.), Kiemeney, L. A. (Lambertus A.), Massuger, L. F. (Leon F. A. G.), Pejovic, T. (Tanja), Bean, Y. (Yukie), Brooks-Wilson, A. (Angela), Kelemen, L. E. (Linda E.), Cook, L. S. (Linda S.), Le, N. D. (Nhu D.), Grski, B. (Bohdan), Gronwald, J. (Jacek), Menkiszak, J. (Janusz), Hogdall, C. K. (Claus K.), Lundvall, L. (Lene), Nedergaard, L. (Lotte), Engelholm, S. A. (Svend Aage), Dicks, E. (Ed), Tyrer, J. (Jonathan), Campbell, I. (Ian), McNeish, I. (Iain), Paul, J. (James), Siddiqui, N. (Nadeem), Glasspool, R. (Rosalind), Whittemore, A. S. (Alice S.), Rothstein, J. H. (Joseph H.), McGuire, V. (Valerie), Sieh, W. (Weiva), Cai, H. (Hui), Shu, X.-O. (Xiao-Ou), Teten, R. T. (Rachel T.), Sutphen, R. (Rebecca), McLaughlin, J. R. (John R.), Narod, S. A. (Steven A.), Phelan, C. M. (Catherine M.), Monteiro, A. N. (Alvaro N.), Fenstermacher, D. (David), Lin, H.-Y. (Hui-Yi), Permuth, J. B. (Jennifer B.), Sellers, T. A. (Thomas A.), Chen, Y. A. (Y. Ann), Tsai, Y.-Y. (Ya-Yu), Chen, Z. (Zhihua), Gentry-Maharaj, A. (Aleksandra), Gayther, S. A. (Simon A.), Ramus, S. J. (Susan J.), Menon, U. (Usha), Wu, A. H. (Anna H.), Pearce, C. L. (Celeste L.), Van den Berg, D. (David), Pike, M. C. (Malcolm C.), Dansonka-Mieszkowska, A. (Agnieszka), Plisiecka-Halasa, J. (Joanna), Moes-Sosnowska, J. (Joanna), Kupryjanczyk, J. (Jolanta), Pharoah, P. D. (Paul D. P.), Song, H. (Honglin), Winship, I. (Ingrid), Chenevix-Trench, G. (Georgia), Giles, G. G. (Graham G.), Tavtigian, S. V. (Sean V.), Easton, D. F. (Doug F.), and Milne, R. L. (Roger L.)

Subjects
skin and connective tissue diseases
Abstract

Background: The rarity of mutations in PALB2, CHEK2 and ATM make it difficult to estimate precisely associated cancer risks. Population-based family studies have provided evidence that at least some of these mutations are associated with breast cancer risk as high as those associated with rare BRCA2 mutations. We aimed to estimate the relative risks associated with specific rare variants in PALB2, CHEK2 and ATM via a multicentre case-control study. Methods: We genotyped 10 rare mutations using the custom iCOGS array: PALB2 c.1592delT, c.2816T>G and c.3113G>A, CHEK2 c.349A>G, c.538C>T, c.715G>A, c.1036C>T, c.1312G>T, and c.1343T>G and ATM c.7271T>G. We assessed associations with breast cancer risk (42 671 cases and 42 164 controls), as well as prostate (22 301 cases and 22 320 controls) and ovarian (14 542 cases and 23 491 controls) cancer risk, for each variant. Results: For European women, strong evidence of association with breast cancer risk was observed for PALB2 c.1592delT OR 3.44 (95% CI 1.39 to 8.52, p = 7.1 × 10⁻⁵), PALB2 c.3113G>A OR 4.21 (95% CI 1.84 to 9.60, p = 6.9 × 10⁻⁸) and ATM c.7271T>G OR 11.0 (95% CI 1.42 to 85.7, p = 0.0012). We also found evidence of association with breast cancer risk for three variants in CHEK2, c.349A>G OR 2.26 (95% CI 1.29 to 3.95), c.1036C>T OR 5.06 (95% CI 1.09 to 23.5) and c.538C>T OR 1.33 (95% CI 1.05 to 1.67) (p ≤ 0.017). Evidence for prostate cancer risk was observed for CHEK2 c.1343T>G OR 3.03 (95% CI 1.53 to 6.03, p = 0.0006) for African men and CHEK2 c.1312G>T OR 2.21 (95% CI 1.06 to 4.63, p = 0.030) for European men. No evidence of association with ovarian cancer was found for any of these variants. Conclusions: This report adds to accumulating evidence that at least some variants in these genes are associated with an increased risk of breast cancer that is clinically important.

Published
2016

9. Corrigendum: Common variants at 19p13 are associated with susceptibility to ovarian cancer

Author

Bolton, KL, Tyrer, J, Song, H, Ramus, SJ, Notaridou, M, Jones, C, Sher, T, Gentry-Maharaj, A, Wozniak, E, Tsai, Y-Y, Weidhaas, J, Paik, D, Van Den Berg, DJ, Stram, DO, Pearce, CL, Wu, AH, Brewster, W, Anton-Culver, H, Ziogas, A, Narod, SA, Levine, DA, Kaye, SB, Brown, R, Paul, J, Flanagan, J, Sieh, W, McGuire, V, Whittemore, AS, Campbell, I, Gore, ME, Lissowska, J, Yang, HP, Medrek, K, Gronwald, J, Lubinski, J, Jakubowska, A, Le, ND, Cook, LS, Kelemen, LE, Brooks-Wilson, A, Massuger, LFAG, Kiemeney, LA, Aben, KKH, van Altena, AM, Houlston, R, Tomlinson, I, Palmieri, RT, Moorman, PG, Schildkraut, J, Iversen, ES, Phelan, C, Vierkant, RA, Cunningham, JM, Goode, EL, Fridley, BL, Kruger-Kjaer, S, Blaeker, J, Hogdall, E, Hogdall, C, Gross, J, Karlan, BY, Ness, RB, Edwards, RP, Odunsi, K, Moyisch, KB, Baker, JA, Modugno, F, Heikkinenen, T, Butzow, R, Nevanlinna, H, Leminen, A, Bogdanova, N, Antonenkova, N, Doerk, T, Hillemanns, P, Dürst, M, Runnebaum, I, Thompson, PJ, Carney, ME, Goodman, MT, Lurie, G, Wang-Gohrke, S, Hein, R, Chang-Claude, J, Rossing, MA, Cushing-Haugen, KL, Doherty, J, Chen, C, Rafnar, T, Besenbacher, S, Sulem, P, Stefansson, K, Birrer, MJ, Terry, KL, Hernandez, D, Cramer, DW, Vergote, I, Amant, F, Lambrechts, D, Despierre, E, Fasching, PA, Beckmann, MW, Thiel, FC, Ekici, AB, Chen, X, Australian Ovarian Cancer Study Group, Johnatty, SE, Webb, PM, Beesley, J, Chanock, S, Garcia-Closas, M, Sellers, T, Easton, DF, Berchuck, A, Chenevix-Trench, G, Pharoah, PDP, and Gayther, SA

Subjects
Australian Ovarian Cancer Study Group
Published
2016

10. Risk of ovarian cancer and the NF-kB pathway: Genetic association with IL1A and TNFSF10

Author

Charbonneau, B, Block, MS, Bamlet, WR, Vierkant, RA, Kalli, KR, Fogarty, Z, Rider, DN, Sellers, TA, Tworoger, SS, Poole, E, Risch, HA, Salvesen, HB, Kiemeney, LA, Baglietto, L, Giles, GG, Severi, G, Trabert, B, Wentzensen, N, Chenevix-Trench, G, Whittemore, AS, Sieh, W, Chang-Claude, J, Bandera, EV, Orlow, I, Terry, K, Goodman, MT, Thompson, PJ, Cook, LS, Rossing, MA, Ness, RB, Narod, SA, Kupryjanczyk, J, Lu, K, Butzow, R, Dork, T, Pejovic, T, Campbell, I, Le, ND, Bunker, CH, Bogdanova, N, Runnebaum, IB, Eccles, D, Paul, J, Wu, AH, Gayther, SA, Hogdall, E, Heitz, F, Kaye, SB, Karlan, BY, Anton-Culver, H, Gronwald, J, Hogdall, CK, Lambrechts, D, Fasching, PA, Menon, U, Schildkraut, J, Pearce, CL, Levine, DA, Kjaer, SK, Cramer, D, Flanagan, JM, Phelan, CM, Brown, R, Massuger, LFAG, Song, H, Doherty, JA, Krakstad, C, Liang, D, Odunsi, K, Berchuck, A, Jensen, A, Lubinski, J, Nevanlinna, H, and Bean, YT

Abstract

A missense single-nucleotide polymorphism (SNP) in the immune modulatory gene IL1A has been associated with ovarian cancer risk (rs17561). Although the exact mechanism through which this SNP alters risk of ovarian cancer is not clearly understood, rs17561 has also been associated with risk of endometriosis, an epidemiologic risk factor for ovarian cancer. Interleukin-1a (IL1A) is both regulated by and able to activate NF-kB, a transcription factor family that induces transcription of many proinflammatory genes and may be an important mediator in carcinogenesis. We therefore tagged SNPs in more than 200 genes in the NF-kB pathway for a total of 2,282 SNPs (including rs17561) for genotype analysis of 15,604 cases of ovarian cancer in patients of European descent, including 6,179 of high-grade serous (HGS), 2,100 endometrioid, 1,591 mucinous, 1,034 clear cell, and 1,016 low-grade serous, including 23,235 control cases spanning 40 studies in the Ovarian Cancer Association Consortium. In this large population, we confirmed the association between rs17561 and clear cell ovarian cancer [OR, 0.84; 95% confidence interval (CI), 0.76-0.93; P < 0.00075], which remained intact even after excluding participants in the prior study (OR, 0.85; 95% CI, 0.75-0.95; P < 0.006). Considering a multiple-testing-corrected significance threshold of P < 2.5 ± 10-5, only one other variant, the TNFSF10 SNP rs6785617, was associated significantly with a risk of ovarian cancer (low malignant potential tumors OR, 0.85; 95% CI, 0.79-0.91; P < 0.00002). Our results extend the evidence that borderline tumors may have a distinct genetic etiology. Further investigation of how these SNPs might modify ovarian cancer associations with other inflammation-related risk factors is warranted. © 2013 AACR.

Published
2014

11. Variation in NF-κB signaling pathways and survival in invasive epithelial ovarian cancer

Author

Block, MS, Charbonneau, B, Vierkant, RA, Fogarty, Z, Bamlet, WR, Pharoah, PDP, Chenevix-Trench, G, Rossing, MA, Cramer, D, Pearce, CL, Schildkraut, J, Menon, U, Kjaer, SK, Levine, DA, Gronwald, J, Culver, HA, Whittemore, AS, Karlan, BY, Lambrechts, D, Wentzensen, N, Kupryjanczyk, J, Chang-Claude, J, Bandera, EV, Hogdall, E, Heitz, F, Kaye, SB, Fasching, PA, Campbell, I, Goodman, MT, Pejovic, T, Bean, YT, Hays, LE, Lurie, G, Eccles, D, Hein, A, Beckmann, MW, Ekici, AB, Paul, J, Brown, R, Flanagan, JM, Harter, P, Du Bois, A, Schwaab, I, Hogdall, CK, Lundvall, L, Olson, SH, Orlow, I, Paddock, LE, Rudolph, A, Eilber, U, Dansonka-Mieszkowska, A, Rzepecka, IK, Ziolkowska-Seta, I, Brinton, LA, Yang, H, Garcia-Closas, M, Despierre, E, Lambrechts, S, Vergote, I, Walsh, CS, Lester, J, Sieh, W, McGuire, V, Rothstein, JH, Ziogas, A, Lubinski, J, Cybulski, C, Menkiszak, J, Jensen, A, Gayther, SA, Ramus, SJ, Gentry-Maharaj, A, Berchuck, A, Wu, AH, Pike, MC, Van Den Berg, D, Terry, KL, Vitonis, AF, Ramirez, SM, Rider, DN, Knutson, KL, and Sellers, TA

Subjects
endocrine system diseases, female genital diseases and pregnancy complications
Abstract

Survival in epithelial ovarian cancer (EOC) is influenced by the host immune response, yet the key genetic determinants of inflammation and immunity that affect prognosis are not known. The nuclear factor-kB (NF-kB) transcription factor family plays an important role in many immune and inflammatory responses, including the response to cancer. We studied common inherited variation in 210 genes in the NF-kB family in 10,084 patients with invasive EOC (5,248 high-grade serous, 1,452 endometrioid, 795 clear cell, and 661 mucinous) from the Ovarian Cancer Association Consortium. Associations between genotype and overall survival were assessed using Cox regression for all patients and by major histology, adjusting for known prognostic factors and correcting for multiple testing (threshold for statistical significance, P < 2.5 × 10-5). Results were statistically significant when assessed for patients of a single histology. Key associations were with caspase recruitment domain family, member 11 (CARD11) rs41324349 in patients with mucinous EOC [HR, 1.82; 95% confidence interval (CI), 1.41-2.35; P = 4.13 × 10-6] and tumor necrosis factor receptor superfamily, member 13B (TNFRSF13B) rs7501462 in patients with endometrioid EOC (HR, 0.68; 95% CI, 0.56-0.82; P = 2.33 × 10-5). Other associations of note included TNF receptor-associated factor 2 (TRAF2) rs17250239 in patients with high-grade serous EOC (HR, 0.84; 95% CI, 0.77-0.92; P = 6.49 ± 10-5) and phospholipase C, gamma 1 (PLCG1) rs11696662 in patients with clear cell EOC (HR, 0.43; 95% CI, 0.26-0.73; P = 4.56 × 10-4). These associations highlight the potential importance of genes associated with host inflammation and immunity in modulating clinical outcomes in distinct EOC histologies. © 2014 American Association for Cancer Research.

Published
2014

12. Association between BRCA1 and BRCA2 Mutations and Survival in Women with Invasive Epithelial Ovarian Cancer

Author

Fridley, BL, Goode, EL, Høgdall, E, Jensen, A, Cass, I, Kjær, SK, Johnatty, SE, Nicoletto, MO, D'Andrea, E, Montagna, M, Blanco, I, Lázaro, C, Ma, ESK, Daly, MB, Godwin, AK, Eeles, R, Evans, DG, Frost, D, Peock, S, Hartge, P, Gail, MH, Neuhausen, S, García, MJ, Benítez, J, Sinilnikova, O, Easton, DF, Healey, S, McGuffog, L, Barrowdale, D, Despierre, E, Lambrechts, D, Karlan, BY, Ramus, SJ, Sadetzki, S, Goh, C, ChenevixTrench, G, Bolton, KL, Li, AJ, Walsh, C, Gross, J, Steele, L, Beattie, MS, Chan, S, Nussbaum, RL, Moysich, KB, Leuchter, R, Borg, Å, Olsson, H, Kristoffersson, U, Sieh, W, McGuire, V, Whittemore, AS, Tyrer, J, Song, H, Michie, CO, Gourley, C, Gore, ME, Senter, L, Toland, AE, Glendon, G, HirshYechezkel, G, Lubin, F, Chetrit, A, Mai, PL, Greene, MH, Loud, JT, Levine, DA, Gordon, O, GarciaClosas, M, Gayther, SA, Chanock, SJ, Antoniou, AC, Pharoah, PDP, Andrulis, IL, and Kwong, A

Subjects
endocrine system diseases, skin and connective tissue diseases, female genital diseases and pregnancy complications
Abstract

Context: Approximately 10% of women with invasive epithelial ovarian cancer (EOC) carry deleterious germline mutations in BRCA1 or BRCA2. A recent article suggested that BRCA2-related EOC was associated with an improved prognosis, but the effect of BRCA1 remains unclear. Objective: To characterize the survival of BRCA carriers with EOC compared with noncarriers and to determine whether BRCA1 and BRCA2 carriers show similar survival patterns. Design, Setting, and Participants: A pooled analysis of 26 observational studies on the survival of women with ovarian cancer, which included data from 1213 EOC cases with pathogenic germline mutations in BRCA1 (n=909) or BRCA2 (n=304) and from 2666 noncarriers recruited and followed up at variable times between 1987 and 2010 (the median year of diagnosis was 1998). Main Outcome Measure: Five-year overall mortality. Results: The 5-year overall survival was 36% (95% CI, 34%-38%) for noncarriers, 44% (95% CI, 40%-48%) for BRCA1 carriers, and 52% (95% CI, 46%-58%) for BRCA2 carriers. After adjusting for study and year of diagnosis, BRCA1 and BRCA2 mutation carriers showed amore favorable survival than noncarriers (for BRCA1: hazard ratio [HR], 0.78; 95% CI, 0.68-0.89; P, link_to_OA_fulltext

Published
2012

13. Common variants at 19p13 are associated with susceptibility to ovarian cancer

Author

Bolton, KL, Tyrer, J, Song, H, Ramus, SJ, Notaridou, M, Jones, C, Sher, T, Gentry-Maharaj, A, Wozniak, E, Tsai, YY, Weidhaas, J, Paik, D, Van Den Berg, DJ, Stram, DO, Pearce, CL, Wu, AH, Brewster, W, Anton-Culver, H, Ziogas, A, Narod, SA, Levine, DA, Kaye, SB, Brown, R, Paul, J, Flanagan, J, Sieh, W, McGuire, V, Whittemore, AS, Campbell, I, Gore, ME, Lissowska, J, Yang, HP, Medrek, K, Gronwald, J, Lubinski, J, Jakubowska, A, Le, ND, Cook, LS, Kelemen, LE, Brook-Wilson, A, Massuger, LFAG, Kiemeney, LA, Aben, KKH, Van Altena, AM, Houlston, R, Tomlinson, I, Palmieri, RT, Moorman, PG, Schildkraut, J, Iversen, ES, Phelan, C, Vierkant, RA, Cunningham, JM, Goode, EL, Fridley, BL, Kruger-Kjaer, S, Blaeker, J, Hogdall, E, Hogdall, C, Gross, J, Karlan, BY, Ness, RB, Edwards, RP, Odunsi, K, Moyisch, KB, Baker, JA, Modugno, F, Heikkinenen, T, Butzow, R, Nevanlinna, H, Leminen, A, Bogdanova, N, Antonenkova, N, Doerk, T, Hillemanns, P, Dürst, M, Runnebaum, I, Thompson, PJ, Carney, ME, Goodman, MT, Lurie, G, Wang-Gohrke, S, Hein, R, Chang-Claude, J, Rossing, MA, Cushing-Haugen, KL, Doherty, J, Chen, C, Rafnar, T, Besenbacher, S, Sulem, P, Stefansson, K, Birrer, MJ, Terry, KL, Hernandez, D, Cramer, DW, and Vergote, I

Subjects
endocrine system diseases, female genital diseases and pregnancy complications
Abstract

Epithelial ovarian cancer (EOC) is the leading cause of death from gynecological malignancy in the developed world, accounting for 4% of the deaths from cancer in women. We performed a three-phase genome-wide association study of EOC survival in 8,951 individuals with EOC (cases) with available survival time data and a parallel association analysis of EOC susceptibility. Two SNPs at 19p13.11, rs8170 and rs2363956, showed evidence of association with survival (overall P = 5×10-4and P = 6×10-4, respectively), but they did not replicate in phase 3. However, the same two SNPs demonstrated genome-wide significance for risk of serous EOC (P = 3×10-9and P = 4×10-11, respectively). Expression analysis of candidate genes at this locus in ovarian tumors supported a role for the BRCA1-interacting gene C19orf62, also known as MERIT40, which contains rs8170, in EOC development. © 2010 Nature America, Inc. All rights reserved.

Published
2010

20. Genome-Wide Meta-Analyses of Breast, Ovarian, and Prostate Cancer Association Studies Identify Multiple New Susceptibility Loci Shared by at Least Two Cancer Types

Author

Kar, S. P., Beesley, J., Amin Al Olama, A., Michailidou, K., Tyrer, J., Kote-Jarai, Z., Lawrenson, K., Lindstrom, S., Ramus, S. J., Thompson, D. J., Kibel, Adam Stuart, Dansonka-Mieszkowska, A., Michael, A., Dieffenbach, A. K., Gentry-Maharaj, A., Whittemore, A. S., Wolk, A., Monteiro, A., Peixoto, A., Kierzek, A., Cox, A., Rudolph, A., Gonzalez-Neira, A., Wu, A. H., Lindblom, A., Swerdlow, A., Ziogas, A., Ekici, A. B., Burwinkel, B., Karlan, B. Y., Nordestgaard, B. G., Blomqvist, C., Phelan, C., McLean, C., Pearce, C. L., Vachon, C., Cybulski, C., Slavov, C., Stegmaier, C., Maier, C., Ambrosone, C. B., Hogdall, C. K., Teerlink, C. C., Kang, D., Tessier, D. C., Schaid, D. J., Stram, D. O., Cramer, Daniel William, Neal, D. E., Eccles, D., Flesch-Janys, D., Edwards, D. R. V., Wokozorczyk, D., Levine, D. A., Yannoukakos, D., Sawyer, E. J., Bandera, E. V., Poole, Elizabeth M., Goode, E. L., Khusnutdinova, E., Hogdall, E., Song, F, Bruinsma, F., Heitz, F., Modugno, F., Hamdy, F. C., Wiklund, F., Giles, G. G., Olsson, H., Wildiers, H., Ulmer, H.-U., Pandha, H., Risch, H. A., Darabi, H., Salvesen, H. B., Nevanlinna, H., Gronberg, H., Brenner, H., Brauch, H., Anton-Culver, H., Song, H., Lim, H.-Y., McNeish, I., Campbell, I., Vergote, I., Gronwald, J., Lubinski, J., Stanford, J. L., Benitez, J., Doherty, J. A., Permuth, J. B., Chang-Claude, J., Donovan, J. L., Dennis, J., Schildkraut, J. M., Schleutker, J., Hopper, J. L., Kupryjanczyk, J., Park, J. Y., Figueroa, J., Clements, J. A., Knight, J. A., Peto, J., Cunningham, J. M., Pow-Sang, J., Batra, J., Czene, K., Lu, K. H., Herkommer, K., Khaw, K.-T., Matsuo, K., Muir, K., Offitt, K., Chen, K., Moysich, K. B., Aittoma ki, K., Odunsi, K., Kiemeney, L. A., Massuger, L. F. A. G., Fitzgerald, L. M., Cook, L. S., Cannon-Albright, L., Hooning, M. J., Pike, M. C., Bolla, M. K., Luedeke, M., Teixeira, M. R., Goodman, M. T., Schmidt, M. K., Riggan, M., Aly, M., Rossing, M. A., Beckmann, M. W., Moisse, M., Sanderson, M., Southey, M. C., Jones, M., Lush, M., Hildebrandt, M. A. T., Hou, M.-F., Schoemaker, M. J., Garcia-Closas, M., Bogdanova, N., Rahman, N., Le, N. D., Orr, N., Wentzensen, N., Pashayan, N., Peterlongo, P., Guenel, P., Brennan, P., Paulo, P., Webb, P. M., Broberg, P., Fasching, P. A., Devilee, P., Wang, Q., Cai, Q., Li, Q., Kaneva, R., Butzow, R., Kopperud, R. K., Schmutzler, R. K., Stephenson, R. A., MacInnis, R. J., Hoover, R. N., Winqvist, R., Ness, R., Milne, R. L., Travis, R. C., Benlloch, S., Olson, S. H., McDonnell, S. K., Tworoger, Shelley Slate, Maia, S., Berndt, S., Lee, S. C., Teo, S.-H., Thibodeau, S. N., Bojesen, S. E., Gapstur, S. M., Kjaer, S. K., Pejovic, T., Tammela, T. L. J., Do rk, T., Bru ning, T., Wahlfors, T., Key, T. J., Edwards, T. L., Menon, U., Hamann, U., Mitev, V., Kosma, V.-M., Setiawan, V. W., Kristensen, V., Arndt, V., Vogel, W., Zheng, W., Sieh, W., Blot, W. J., Kluzniak, W., Shu, X.-O., Gao, Y.-T., Schumacher, F., Freedman, M. L., Berchuck, A., Dunning, A. M., Simard, J., Haiman, C. A., Spurdle, A., Sellers, T. A., Hunter, David J., Henderson, B. E., Kraft, Peter Elias, Chanock, S. J., Couch, F. J., Hall, P., Gayther, S. A., Easton, D. F., Chenevix-Trench, G., Eeles, R., Pharoah, P. D. P., Lambrechts, D., and undefined, undefined

Subjects
breast cancer, ovarian cancer, prostate cancer, genome-wide association studies, pleiotropy
Abstract

Breast, ovarian, and prostate cancers are hormone-related and may have a shared genetic basis, but this has not been investigated systematically by genome-wide association (GWA) studies. Meta-analyses combining the largest GWA meta-analysis data sets for these cancers totaling 112,349 cases and 116,421 controls of European ancestry, all together and in pairs, identified at P < 10(-8) seven new cross-cancer loci: three associated with susceptibility to all three cancers (rs17041869/2q13/BCL2L11; rs7937840/11q12/INCENP; rs1469713/19p13/GATAD2A), two breast and ovarian cancer risk loci (rs200182588/9q31/SMC2; rs8037137/15q26/RCCD1), and two breast and prostate cancer risk loci (rs5013329/1p34/NSUN4; rs9375701/6q23/L3MBTL3). Index variants in five additional regions previously associated with only one cancer also showed clear association with a second cancer type. Cell-type-specific expression quantitative trait locus and enhancer-gene interaction annotations suggested target genes with potential cross-cancer roles at the new loci. Pathway analysis revealed significant enrichment of death receptor signaling genes near loci with P < 10(-5) in the three-cancer meta-analysis., Other Research Unit

Published
2016
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21. Network-Based Integration of GWAS and Gene Expression Identifies a HOX-Centric Network Associated with Serous Ovarian Cancer Risk

Author

Kar, S. P., Tyrer, J. P., Li, Qiyuan, Lawrenson, K., Aben, K. K. H., Anton-Culver, H., Antonenkova, N., Chenevix-Trench, G., Baker, H., Bandera, E. V., Bean, Y. T., Beckmann, M. W., Berchuck, A., Bisogna, M., Bjorge, L., Bogdanova, N., Brinton, L., Brooks-Wilson, A., Butzow, R., Campbell, I., Carty, K., Chang-Claude, J., Chen, Y. A., Chen, Z., Cook, L. S., Cramer, Daniel William, Cunningham, J. M., Cybulski, C., Dansonka-Mieszkowska, A., Dennis, J., Dicks, E., Doherty, J. A., Dork, T., du Bois, A., Durst, M., Eccles, D., Easton, D. F., Edwards, R. P., Ekici, A. B., Fasching, P. A., Fridley, B. L., Gao, Y.-T., Gentry-Maharaj, A., Giles, G. G., Glasspool, R., Goode, E. L., Goodman, M. T., Grownwald, J., Harrington, P., Harter, P., Hein, A., Heitz, F., Hildebrandt, M. A. T., Hillemanns, P., Hogdall, E., Hogdall, C. K., Hosono, S., Iversen, E. S., Jakubowska, A., Paul, J., Jensen, A., Ji, B.-T., Karlan, B. Y., Kjaer, S. K., Kelemen, L. E., Kellar, M., Kelley, J., Kiemeney, L. A., Krakstad, C., Kupryjanczyk, J., Lambrechts, D., Lambrechts, S., Le, N. D., Lee, A. W., Lele, S., Leminen, A., Lester, J., Levine, D. A., Liang, D., Lissowska, J., Lu, K., Lubinski, J., Lundvall, L., Massuger, L., Matsuo, K., McGuire, V., McLaughlin, J. R., McNeish, I. A., Menon, U., Modugno, F., Moysich, K. B., Narod, S. A., Nedergaard, L., Ness, R. B., Nevanlinna, H., Odunsi, K., Olson, S. H., Orlow, I., Orsulic, S., Weber, R. P., Pearce, C. L., Pejovic, T., Pelttari, L. M., Permuth-Wey, J., Phelan, C. M., Pike, M. C., Poole, Elizabeth M., Ramus, S. J., Risch, H. A., Rosen, B., Rossing, M. A., Rothstein, J. H., Rudolph, A., Runnebaum, I. B., Rzepecka, I. K., Salvesen, H. B., Schildkraut, J. M., Schwaab, I., Shu, X.-O., Shvetsov, Y. B., Siddiqui, N., Sieh, W., Song, H., Southey, M. C., Sucheston-Campbell, L. E., Tangen, I. L., Teo, S.-H., Terry, Kathryn Lynne, Thompson, P. J., Timorek, A., Tsai, Y.-Y., Tworoger, Shelley Slate, van Altena, A. M., Van Nieuwenhuysen, E., Vergote, I., Vierkant, R. A., Wang-Gohrke, S., Walsh, C., Wentzensen, N., Whittemore, A. S., Wicklund, K. G., Wilkens, L. R., Woo, Y.-L., Wu, X., Wu, A., Yang, H., Zheng, W., Ziogas, A., Sellers, T. A., Monteiro, A. N. A., Freedman, M. L., Gayther, S. A., and Pharoah, P. D. P.

Subjects
ovarian cancer, network analysis, GWAS, gene expression, transcription factors
Abstract

BACKGROUND: Genome-wide association studies (GWAS) have so far reported 12 loci associated with serous epithelial ovarian cancer (EOC) risk. We hypothesized that some of these loci function through nearby transcription factor (TF) genes and that putative target genes of these TFs as identified by coexpression may also be enriched for additional EOC risk associations. METHODS: We selected TF genes within 1 Mb of the top signal at the 12 genome-wide significant risk loci. Mutual information, a form of correlation, was used to build networks of genes strongly coexpressed with each selected TF gene in the unified microarray dataset of 489 serous EOC tumors from The Cancer Genome Atlas. Genes represented in this dataset were subsequently ranked using a gene-level test based on results for germline SNPs from a serous EOC GWAS meta-analysis (2,196 cases/4,396 controls). RESULTS: Gene set enrichment analysis identified six networks centered on TF genes (HOXB2, HOXB5, HOXB6, HOXB7 at 17q21.32 and HOXD1, HOXD3 at 2q31) that were significantly enriched for genes from the risk-associated end of the ranked list (P < 0.05 and FDR < 0.05). These results were replicated (P < 0.05) using an independent association study (7,035 cases/21,693 controls). Genes underlying enrichment in the six networks were pooled into a combined network. CONCLUSION: We identified a HOX-centric network associated with serous EOC risk containing several genes with known or emerging roles in serous EOC development. IMPACT: Network analysis integrating large, context-specific datasets has the potential to offer mechanistic insights into cancer susceptibility and prioritize genes for experimental characterization.

Published
2015
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22. Genome-wide Analysis Identifies Novel Loci Associated with Ovarian Cancer Outcomes: Findings from the Ovarian Cancer Association Consortium

Author

Johnatty, S. E., Tyrer, J. P., Kar, S., Beesley, J., Lu, Y., Gao, B., Fasching, P. A., Hein, A., Ekici, A. B., Beckmann, M. W., Lambrechts, D., Van Nieuwenhuysen, E., Vergote, I., Lambrechts, S., Rossing, M. A., Doherty, J. A., Chang-Claude, J., Modugno, F., Ness, R. B., Moysich, K. B., Levine, D. A., Kiemeney, L. A., Massuger, L. F. A. G., Gronwald, J., Lubinski, J., Jakubowska, A., Cybulski, C., Brinton, L., Lissowska, J., Wentzensen, N., Song, H., Rhenius, V., Campbell, I., Eccles, D., Sieh, W., Whittemore, A. S., McGuire, V., Rothstein, J. H., Sutphen, R., Anton-Culver, H., Ziogas, A., Gayther, S. A., Gentry-Maharaj, A., Menon, U., Ramus, S. J., Pearce, C. L., Pike, M. C., Stram, D. O., Wu, A. H., Kupryjanczyk, J., Dansonka-Mieszkowska, A., Rzepecka, I. K., Spiewankiewicz, B., Goodman, M. T., Wilkens, L. R., Carney, M. E., Thompson, P. J., Heitz, F., du Bois, A., Schwaab, I., Harter, P., Pisterer, J., Hillemanns, P., Karlan, B. Y., Walsh, C., Lester, J., Orsulic, S., Winham, S. J., Earp, M., Larson, M. C., Fogarty, Z. C., Hogdall, E., Jensen, A., Kjaer, S. K., Fridley, B. L., Cunningham, J. M., Vierkant, R. A., Schildkraut, J. M., Iversen, E. S., Terry, Kathryn Lynne, Cramer, Daniel William, Bandera, E. V., Orlow, I., Pejovic, T., Bean, Y., Hogdall, C., Lundvall, L., McNeish, I., Paul, J., Carty, K., Siddiqui, N., Glasspool, R., Sellers, T., Kennedy, C., Chiew, Y.-E., Berchuck, A., MacGregor, S., Pharoah, P. D. P., Goode, E. L., deFazio, A., Webb, P. M., and Chenevix-Trench, G.

Subjects
progression-free survival, overall survival, epithelial ovarian cancer, lncRNA, chemotherapy
Abstract

PURPOSE: Chemotherapy resistance remains a major challenge in the treatment of ovarian cancer. We hypothesize that germline polymorphisms might be associated with clinical outcome. EXPERIMENTAL DESIGN: We analyzed approximately 2.8 million genotyped and imputed SNPs from the iCOGS experiment for progression-free survival (PFS) and overall survival (OS) in 2,901 European epithelial ovarian cancer (EOC) patients who underwent first-line treatment of cytoreductive surgery and chemotherapy regardless of regimen, and in a subset of 1,098 patients treated with ≥ 4 cycles of paclitaxel and carboplatin at standard doses. We evaluated the top SNPs in 4,434 EOC patients, including patients from The Cancer Genome Atlas. In addition, we conducted pathway analysis of all intragenic SNPs and tested their association with PFS and OS using gene set enrichment analysis. RESULTS: Five SNPs were significantly associated (P ≤ 1.0 × 10(-5)) with poorer outcomes in at least one of the four analyses, three of which, rs4910232 (11p15.3), rs2549714 (16q23), and rs6674079 (1q22), were located in long noncoding RNAs (lncRNAs) RP11-179A10.1, RP11-314O13.1, and RP11-284F21.8, respectively (P ≤ 7.1 × 10(-6)). ENCODE ChIP-seq data at 1q22 for normal ovary show evidence of histone modification around RP11-284F21.8, and rs6674079 is perfectly correlated with another SNP within the super-enhancer MEF2D, expression levels of which were reportedly associated with prognosis in another solid tumor. YAP1- and WWTR1 (TAZ)-stimulated gene expression and high-density lipoprotein (HDL)-mediated lipid transport pathways were associated with PFS and OS, respectively, in the cohort who had standard chemotherapy (pGSEA ≤ 6 × 10(-3)). CONCLUSIONS: We have identified SNPs in three lncRNAs that might be important targets for novel EOC therapies., Other Research Unit

Published
2015
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23. Variation in NF- B Signaling Pathways and Survival in Invasive Epithelial Ovarian Cancer

Author

Block, M. S., Charbonneau, B., Vierkant, R. A., Fogarty, Z., Bamlet, W. R., Pharoah, P. D. P., Rossing, M. A., Cramer, Daniel William, Pearce, C. L., Schildkraut, J., Menon, U., Kjaer, S. K., Levine, D. A., Gronwald, J., Culver, H. A., Whittemore, A. S., Karlan, B. Y., Lambrechts, D., Wentzensen, N., Kupryjanczyk, J., Chang-Claude, J., Bandera, E. V., Hogdall, E., Heitz, F., Kaye, S. B., Fasching, P. A., Campbell, I., Goodman, M. T., Pejovic, T., Bean, Y. T., Hays, L. E., Lurie, G., Eccles, D., Hein, A., Beckmann, M. W., Ekici, A. B., Paul, J., Brown, R., Flanagan, J. M., Harter, P., du Bois, A., Schwaab, I., Hogdall, C. K., Lundvall, L., Olson, S. H., Orlow, I., Paddock, L. E., Rudolph, A., Eilber, U., Dansonka-Mieszkowska, A., Rzepecka, I. K., Ziolkowska-Seta, I., Brinton, L. A., Yang, H., Garcia-Closas, M., Despierre, E., Lambrechts, S., Vergote, I., Walsh, C. S., Lester, J., Sieh, W., McGuire, V., Rothstein, J. H., Ziogas, A., Lubi ski, J., Cybulski, C., Menkiszak, J., Jensen, A., Gayther, S. A., Ramus, S. J., Gentry-Maharaj, A., Berchuck, A., Wu, A. H., Pike, M. C., Van Den Berg, D., Terry, Kathryn Lynne, Vitonis, A. F., Ramirez, S. M., Rider, D. N., Knutson, K. L., Sellers, T. A., Phelan, C. M., Doherty, J. A., Johnatty, S. E., deFazio, A., Song, H., Tyrer, J., Kalli, K. R., Fridley, B. L., Cunningham, J. M., and Goode, E. L.

Subjects
single nucleotide polymorphism, recurrence, survival, ovarian neoplasms
Abstract

Survival in epithelial ovarian cancer (EOC) is influenced by the host immune response, yet the key genetic determinants of inflammation and immunity that impact prognosis are not known. The nuclear factor-kappa B (NF-κB) transcription factor family plays an important role in many immune and inflammatory responses, including the response to cancer. We studied common inherited variation in 210 genes in the NF-κB family in 10,084 patients with invasive EOC (5,248 high grade serous, 1,452 endometrioid, 795 clear cell, and 661 mucinous) from the Ovarian Cancer Association Consortium. Associations between genotype and overall survival were assessed using Cox regression for all patients and by major histology, adjusting for known prognostic factors and correcting for multiple testing (threshold for statistical significance—p < 2.5×10−5). Results were statistically significant when assessed for patients of a single histology. Key associations were with CARD11 (caspase recruitment domain family, member 11) rs41324349 in patients with mucinous EOC (HR 1.82, 95% CI 1.41–2.35, p=4.13×10−6) and TNFRSF13B (tumor necrosis factor receptor superfamily, member 13B) rs7501462 in patients with endometrioid EOC (HR 0.68, 95% CI 0.56–0.82, p=2.33×10−5). Other associations of note included TRAF2 (TNF receptor-associated factor 2) rs17250239 in patients with high-grade serous EOC (HR 0.84, 95% CI 0.77–0.92, p=6.49×10−5) and PLCG1 (phospholipase C, gamma 1) rs11696662 in patients with clear cell EOC (HR 0.43, 95% CI 0.26–0.73, p=4.56×10−4). These associations highlight the potential importance of genes associated with host inflammation and immunity in modulating clinical outcomes in distinct EOC histologies.

Published
2014
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24. Tubal ligation and risk of ovarian cancer subtypes: a pooled analysis of case-control studies

Author

Sieh, W., Salvador, S., McGuire, V., Weber, R. P., Terry, Kathryn Lynne, Rossing, M. A., Risch, H., Wu, A. H., Webb, P. M., Moysich, K., Doherty, J. A., Felberg, A., Miller, D., Jordan, S. J., Goodman, M. T., Lurie, G., Chang-Claude, J., Rudolph, A., Kjaer, S. K., Jensen, A., Hogdall, E., Bandera, E. V., Olson, S. H., King, M. G., Rodriguez-Rodriguez, L., Kiemeney, L. A., Marees, T., Massuger, L. F., van Altena, A. M., Ness, R. B., Cramer, Daniel William, Pike, M. C., Pearce, C. L., Berchuck, A., Schildkraut, J. M., and Whittemore, A. S.

Subjects
Ovarian cancer, tubal ligation, sterilization
Abstract

Background Tubal ligation is a protective factor for ovarian cancer, but it is unknown whether this protection extends to all invasive histological subtypes or borderline tumors. We undertook an international collaborative study to examine the association between tubal ligation and ovarian cancer subtypes. Methods We pooled primary data from 13 population-based case-control studies, including 10 157 patients with ovarian cancer (7942 invasive; 2215 borderline) and 13 904 control women. Invasive cases were analysed by histological type, grade and stage, and borderline cases were analysed by histological type. Pooled odds ratios were estimated using conditional logistic regression to match on site, race/ethnicity and age categories, and to adjust for age, oral contraceptive use duration and number of full-term births. Results Tubal ligation was associated with significantly reduced risks of invasive serous (OR, 0.81; 95% CI, 0.74-0.89; P < 0.001), endometrioid (OR, 0.48; 95% CI, 0.40-0.59; P < 0.001), clear cell (OR, 0.52; 95% CI, 0.40-0.67; P < 0.001) and mucinous (OR, 0.68; 95% CI, 0.52-0.89; P = 0.005) cancers. The magnitude of risk reduction was significantly greater for invasive endometrioid (P < 0.0001) and clear cell (P = 0.0018) than for serous cancer. No significant associations were found with borderline serous or mucinous tumours. Conclusions We found that the protective effects of tubal ligation on ovarian cancer risk were subtype-specific. These findings provide insights into distinct aetiologies of ovarian cancer subtypes and mechanisms underlying the protective effects of tubal ligation.

Published
2013
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25. Analysis of Over 10,000 Cases Finds No Association between Previously Reported Candidate Polymorphisms and Ovarian Cancer Outcome

Author

White, K. L., Vierkant, R. A., Fogarty, Z. C., Charbonneau, B., Block, M. S., Pharoah, P. D. P., Chenevix-Trench, G., Rossing, M. A., Cramer, Daniel William, Pearce, C. L., Schildkraut, J. M., Menon, U., Kjaer, S. K., Levine, D. A., Gronwald, J., Culver, H. A., Whittemore, A. S., Karlan, B. Y., Lambrechts, D., Wentzensen, N., Kupryjanczyk, J., Chang-Claude, J., Bandera, E. V., Hogdall, E., Heitz, F., Kaye, S. B., Fasching, P. A., Campbell, I., Goodman, M. T., Pejovic, T., Bean, Y., Lurie, G., Eccles, D., Hein, A., Beckmann, M. W., Ekici, A. B., Paul, J., Brown, R., Flanagan, J. M., Harter, P., du Bois, A., Schwaab, I., Hogdall, C. K., Lundvall, L., Olson, S. H., Orlow, I., Paddock, L. E., Rudolph, A., Eilber, U., Dansonka-Mieszkowska, A., Rzepecka, I. K., Ziolkowska-Seta, I., Brinton, L., Yang, H., Garcia-Closas, M., Despierre, E., Lambrechts, S., Vergote, I., Walsh, C., Lester, J., Sieh, W., McGuire, V., Rothstein, J. H., Ziogas, A., Lubinski, J., Cybulski, C., Menkiszak, J., Jensen, A., Gayther, S. A., Ramus, S. J., Gentry-Maharaj, A., Berchuck, A., Wu, A. H., Pike, M. C., Van DenBerg, D., Terry, Kathryn Lynne, Vitonis, A. F., Doherty, J. A., Johnatty, S. E., deFazio, A., Song, H., Tyrer, J., Sellers, T. A., Phelan, C. M., Kalli, K. R., Cunningham, J. M., Fridley, B. L., and Goode, E. L.

Abstract

Background Ovarian cancer is a leading cause of cancer-related death among women. In an effort to understand contributors to disease outcome, we evaluated single-nucleotide polymorphisms (SNPs) previously associated with ovarian cancer recurrence or survival, specifically in angiogenesis, inflammation, mitosis, and drug disposition genes. Methods Twenty-seven SNPs in VHL, HGF, IL18, PRKACB, ABCB1, CYP2C8, ERCC2, and ERCC1 previously associated with ovarian cancer outcome were genotyped in 10,084 invasive cases from 28 studies from the Ovarian Cancer Association Consortium with over 37,000 observed person-years and 4,478 deaths. Cox proportional hazards models were used to examine the association between candidate SNPs and ovarian cancer recurrence or survival with and without adjustment for key covariates. Results We observed no association between genotype and ovarian cancer recurrence or survival for any of the SNPs examined. Conclusions These results refute prior associations between these SNPs and ovarian cancer outcome and underscore the importance of maximally powered genetic association studies. Impact These variants should not be used in prognostic models. Alternate approaches to uncovering inherited prognostic factors, if they exist, are needed.

Published
2013
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26. Risk of Ovarian Cancer and the NF- B Pathway: Genetic Association with IL1A and TNFSF10

Author

Charbonneau, B., Block, M. S., Bamlet, W. R., Vierkant, R. A., Kalli, K. R., Fogarty, Z., Rider, D. N., Sellers, T. A., Tworoger, Shelley Slate, Poole, Elizabeth M., Risch, H. A., Salvesen, H. B., Kiemeney, L. A., Baglietto, L., Giles, G. G., Severi, G., Trabert, B., Wentzensen, N., Chenevix-Trench, G., Whittemore, A. S., Sieh, W., Chang-Claude, J., Bandera, E. V., Orlow, I., Terry, Kathryn Lynne, Goodman, M. T., Thompson, P. J., Cook, L. S., Rossing, M. A., Ness, R. B., Narod, S. A., Kupryjanczyk, J., Lu, K., Butzow, R., Dork, T., Pejovic, T., Campbell, I., Le, N. D., Bunker, C. H., Bogdanova, N., Runnebaum, I. B., Eccles, D., Paul, J., Wu, A. H., Gayther, S. A., Hogdall, E., Heitz, F., Kaye, S. B., Karlan, B. Y., Anton-Culver, H., Gronwald, J., Hogdall, C. K., Lambrechts, D., Fasching, P. A., Menon, U., Schildkraut, J., Pearce, C. L., Levine, D. A., Kjaer, S. K., Cramer, Daniel William, Flanagan, J. M., Phelan, C. M., Brown, Robert, Massuger, L. F. A. G., Song, H., Doherty, J. A., Krakstad, C., Liang, D., Odunsi, K., Berchuck, A., Jensen, A., Lubinski, J., Nevanlinna, H., Bean, Y. T., Lurie, G., Ziogas, A., Walsh, C., Despierre, E., Brinton, L., Hein, A., Rudolph, A., Dansonka-Mieszkowska, A., Olson, S. H., Harter, P., Tyrer, J., Vitonis, A. F., Brooks-Wilson, A., Aben, K. K., Pike, M. C., Ramus, S. J., Wik, E., Cybulski, C., Lin, J., Sucheston, L., Edwards, Robert R, McGuire, V., Lester, J., du Bois, A., Lundvall, L., Wang-Gohrke, S., Szafron, L. M., Lambrechts, S., Yang, H., Beckmann, M. W., Pelttari, L. M., Van Altena, A. M., van den Berg, D., Halle, M. K., Gentry-Maharaj, A., Schwaab, I., Chandran, U., Menkiszak, J., Ekici, A. B., Wilkens, L. R., Leminen, A., Modugno, F., Friel, G., Rothstein, J. H., Vergote, I., Garcia-Closas, M., Hildebrandt, M. A. T., Sobiczewski, P., Kelemen, L. E., Pharoah, P. D. P., Moysich, K., Knutson, K. L., Cunningham, J. M., Fridley, B. L., and Goode, E. L.

Subjects
clear cell, endometrioid, case-control, single nucleotide polymorphism, IL-1α
Abstract

A missense single-nucleotide polymorphism (SNP) in the immune modulatory gene IL1A has been associated with ovarian cancer risk (rs17561). Although the exact mechanism through which this SNP alters risk of ovarian cancer is not clearly understood, rs17561 has also been associated with risk of endometriosis, an epidemiologic risk factor for ovarian cancer. Interleukin-1α (IL1A) is both regulated by and able to activate NF-κB, a transcription factor family that induces transcription of many proinflammatory genes and may be an important mediator in carcinogenesis. We therefore tagged SNPs in more than 200 genes in the NF-κB pathway for a total of 2,282 SNPs (including rs17561) for genotype analysis of 15,604 cases of ovarian cancer in patients of European descent, including 6,179 of high-grade serous (HGS), 2,100 endometrioid, 1,591 mucinous, 1,034 clear cell, and 1,016 low-grade serous, including 23,235 control cases spanning 40 studies in the Ovarian Cancer Association Consortium. In this large population, we confirmed the association between rs17561 and clear cell ovarian cancer [OR, 0.84; 95% confidence interval (CI), 0.76-0.93; P = 0.00075], which remained intact even after excluding participants in the prior study (OR, 0.85; 95% CI, 0.75-0.95; P = 0.006). Considering a multiple-testing-corrected significance threshold of P < 2.5 × 10(-5), only one other variant, the TNFSF10 SNP rs6785617, was associated significantly with a risk of ovarian cancer (low malignant potential tumors OR, 0.85; 95% CI, 0.79-0.91; P = 0.00002). Our results extend the evidence that borderline tumors may have a distinct genetic etiology. Further investigation of how these SNPs might modify ovarian cancer associations with other inflammation-related risk factors is warranted., Other Research Unit

Published
2013
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27. Prostate Cancer Susceptibility Polymorphism rs2660753 Is Not Associated with Invasive Ovarian Cancer

Author

Amankwah, E. K., Kelemen, L. E., Wang, Q., Song, H., Chenevix-Trench, G., Beesley, J., Webb, P. M., Pearce, C. L., Wu, A. H., Pike, M. C., Stram, D. O., Chang-Claude, J., Wang-Gohrke, S., Ness, R. B., Goode, E. L., Cunningham, J. M., Fridley, B. L., Vierkant, R. A., Tworoger, Shelley Slate, Whittemore, A. S., McGuire, V., Sieh, W., Gayther, S. A., Gentry-Maharaj, A., Menon, U., Ramus, S. J., Rossing, M. A., Doherty, J. A., Goodman, M. T., Carney, M. E., Lurie, G., Wilkens, L. R., Kruger Kjaer, S., Hogdall, E., Cramer, Daniel William, Terry, Kathryn Lynne, Garcia-Closas, M., Yang, H., Lissowska, J., Anton-Culver, H., Ziogas, A., Schildkraut, J. M., Berchuck, A., and Pharoah, P. D. P.

Subjects
chromosome 3p, SNP, ovarian cancer, risk factors
Abstract

Background We previously reported an association between rs2660753, a prostate cancer susceptibility polymorphism, and invasive epithelial ovarian cancer (EOC) [odds ratio (OR)=1.2, 95% confidence interval (CI)=1.0-1.4, Ptrend=0.01] that showed a stronger association with the serous histological subtype (OR=1.3, 95% CI=1.1-1.5, Ptrend=0.003). Methods We sought to replicate this association in 12 other studies comprising 4,482 cases and 6,894 controls of white non-Hispanic ancestry in the Ovarian Cancer Association Consortium. Results No evidence for an association with all cancers or serous cancers was observed in a combined analysis of data from the replication studies (all: OR=1.0, 95% CI=0.9-1.1, Ptrend=0.61; serous: OR=1.0, 95% CI=0.9-1.1, Ptrend=0.85) or from the combined analysis of discovery and replication studies (all: OR=1.0, 95% CI=1.0-1.1, Ptrend= 0.28; serous: OR=1.1, 95% CI=1.0-1.2, Ptrend=0.11). There was no evidence for statistical heterogeneity in ORs across the studies. Conclusions Although rs2660753 is a strong a prostate cancer susceptibility polymorphism, the association with another hormonally related cancer, invasive EOC, is not supported by this replication study. Impact Our findings, based on a larger sample size, emphasize the importance of replicating potentially promising genetic risk associations.

Published
2011
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28. Identification of 12 new susceptibility loci for different histotypes of epithelial ovarian cancer

Author

Phelan, CM, Kuchenbaecker, KB, Tyrer, JP, Kar, SP, Lawrenson, K, Winham, SJ, Dennis, J, Pirie, A, Riggan, MJ, Chornokur, G, Earp, MA, Lyra, PC, Lee, JM, Coetzee, S, Beesley, J, McGuffog, L, Soucy, P, Dicks, E, Lee, A, Barrowdale, D, Lecarpentier, J, Leslie, G, Aalfs, CM, Aben, KKH, Adams, M, Adlard, J, Andrulis, IL, Anton-Culver, H, Antonenkova, N, AOCS Study Group, Aravantinos, G, Arnold, N, Arun, BK, Arver, B, Azzollini, J, Balmaña, J, Banerjee, SN, Barjhoux, L, Barkardottir, RB, Bean, Y, Beckmann, MW, Beeghly-Fadiel, A, Benitez, J, Bermisheva, M, Bernardini, MQ, Birrer, MJ, Bjorge, L, Black, A, Blankstein, K, Blok, MJ, Bodelon, C, Bogdanova, N, Bojesen, A, Bonanni, B, Borg, Å, Bradbury, AR, Brenton, JD, Brewer, C, Brinton, L, Broberg, P, Brooks-Wilson, A, Bruinsma, F, Brunet, J, Buecher, B, Butzow, R, Buys, SS, Caldes, T, Caligo, MA, Campbell, I, Cannioto, R, Carney, ME, Cescon, T, Chan, SB, Chang-Claude, J, Chanock, S, Chen, XQ, Chiew, Y-E, Chiquette, J, Chung, WK, Claes, KBM, Conner, T, Cook, LS, Cook, J, Cramer, DW, Cunningham, JM, D'Aloisio, AA, Daly, MB, Damiola, F, Damirovna, SD, Dansonka-Mieszkowska, A, Dao, F, Davidson, R, DeFazio, A, Delnatte, C, Doheny, KF, Diez, O, Ding, YC, Doherty, JA, Domchek, SM, Dorfling, CM, Dörk, T, Dossus, L, Duran, M, Dürst, M, Dworniczak, B, Eccles, D, Edwards, T, Eeles, R, Eilber, U, Ejlertsen, B, Ekici, AB, Ellis, S, Elvira, M, EMBRACE Study, Eng, KH, Engel, C, Evans, DG, Fasching, PA, Ferguson, S, Ferrer, SF, Flanagan, JM, Fogarty, ZC, Fortner, RT, Fostira, F, Foulkes, WD, Fountzilas, G, Fridley, BL, Friebel, TM, Friedman, E, Frost, D, Ganz, PA, Garber, J, García, MJ, Garcia-Barberan, V, Gehrig, A, GEMO Study Collaborators, Gentry-Maharaj, A, Gerdes, A-M, Giles, GG, Glasspool, R, Glendon, G, Godwin, AK, Goldgar, DE, Goranova, T, Gore, M, Greene, MH, Gronwald, J, Gruber, S, Hahnen, E, Haiman, CA, Håkansson, N, Hamann, U, Hansen, TVO, Harrington, PA, Harris, HR, Hauke, J, HEBON Study, Hein, A, Henderson, A, Hildebrandt, MAT, Hillemanns, P, Hodgson, S, Høgdall, CK, Høgdall, E, Hogervorst, FBL, Holland, H, Hooning, MJ, Hosking, K, Huang, R-Y, Hulick, PJ, Hung, J, Hunter, DJ, Huntsman, DG, Huzarski, T, Imyanitov, EN, Isaacs, C, Iversen, ES, Izatt, L, Izquierdo, A, Jakubowska, A, James, P, Janavicius, R, Jernetz, M, Jensen, A, Jensen, UB, John, EM, Johnatty, S, Jones, ME, Kannisto, P, Karlan, BY, Karnezis, A, Kast, K, KConFab Investigators, Kennedy, CJ, Khusnutdinova, E, Kiemeney, LA, Kiiski, JI, Kim, S-W, Kjaer, SK, Köbel, M, Kopperud, RK, Kruse, TA, Kupryjanczyk, J, Kwong, A, Laitman, Y, Lambrechts, D, Larrañaga, N, Larson, MC, Lazaro, C, Le, ND, Le Marchand, L, Lee, JW, Lele, SB, Leminen, A, Leroux, D, Lester, J, Lesueur, F, Levine, DA, Liang, D, Liebrich, C, Lilyquist, J, Lipworth, L, Lissowska, J, Lu, KH, Lubinński, J, Luccarini, C, Lundvall, L, Mai, PL, Mendoza-Fandiño, G, Manoukian, S, Massuger, LFAG, May, T, Mazoyer, S, McAlpine, JN, McGuire, V, McLaughlin, McNeish, I, Meijers-Heijboer, H, Meindl, A, Menon, U, Mensenkamp, AR, Merritt, MA, Milne, RL, Mitchell, G, Modugno, F, Moes-Sosnowska, J, Moffitt, M, Montagna, M, Moysich, KB, Mulligan, AM, Musinsky, J, Nathanson, KL, Nedergaard, L, Ness, RB, Neuhausen, SL, Nevanlinna, H, Niederacher, D, Nussbaum, RL, Odunsi, K, Olah, E, Olopade, OI, Olsson, H, Olswold, C, O'Malley, DM, Ong, K-R, Onland-Moret, NC, OPAL Study Group, Orr, N, Orsulic, S, Osorio, A, Palli, D, Papi, L, Park-Simon, T-W, Paul, J, Pearce, CL, Pedersen, IS, Peeters, PHM, Peissel, B, Peixoto, A, Pejovic, T, Pelttari, LM, Permuth, JB, Peterlongo, P, Pezzani, L, Pfeiler, G, Phillips, K-A, Piedmonte, M, Pike, MC, Piskorz, AM, Poblete, Pocza, T, Poole, EM, Poppe, B, Porteous, ME, Prieur, F, Prokofyeva, D, Pugh, E, Pujana, MA, Pujol, P, Radice, P, Rantala, J, Rappaport-Fuerhauser, C, Rennert, G, Rhiem, K, Rice, P, Richardson, A, Robson, M, Rodriguez, GC, Rodríguez-Antona, C, Romm, J, Rookus, MA, Rossing, MA, Rothstein, JH, Rudolph, A, Runnebaum, IB, Salvesen, HB, Sandler, DP, Schoemaker, MJ, Senter, L, Setiawan, VW, Severi, G, Sharma, P, Shelford, T, Siddiqui, N, Side, LE, Sieh, W, Singer, CF, Sobol, H, Song, H, Southey, MC, Spurdle, AB, Stadler, Z, Steinemann, D, Stoppa-Lyonnet, D, Sucheston-Campbell, LE, Sukiennicki, G, Sutphen, R, Sutter, C, Swerdlow, AJ, Szabo, CI, Szafron, L, Tan, YY, Taylor, JA, Tea, M-K, Teixeira, MR, Teo, S-H, Terry, KL, Thompson, PJ, Thomsen, LCV, Thull, DL, Tihomirova, L, Tinker, AV, Tischkowitz, M, Tognazzo, S, Toland, AE, Tone, A, Trabert, B, Travis, RC, Trichopoulou, A, Tung, N, Tworoger, SS, Van Altena, AM, Van Den Berg, D, Van Der Hout, AH, Van Der Luijt, RB, Van Heetvelde, M, Van Nieuwenhuysen, E, Van Rensburg, EJ, Vanderstichele, A, Varon-Mateeva, R, Vega, A, Edwards, DV, Vergote, I, Vierkant, RA, Vijai, J, Vratimos, A, Walker, L, Walsh, C, Wand, D, Wang-Gohrke, S, Wappenschmidt, B, Webb, PM, Weinberg, CR, Weitzel, JN, Wentzensen, N, Whittemore, AS, Wijnen, JT, Wilkens, LR, Wolk, A, Woo, M, Wu, X, Wu, AH, Yang, H, Yannoukakos, D, Ziogas, A, Zorn, KK, Narod, SA, Easton, DF, Amos, CI, Schildkraut, JM, Ramus, SJ, Ottini, L, Goodman, MT, Park, SK, Kelemen, LE, Risch, HA, Thomassen, M, Offit, K, Simard, J, Schmutzler, RK, Hazelett, D, Monteiro, AN, Couch, FJ, Berchuck, A, Chenevix-Trench, G, Goode, EL, Sellers, TA, Gayther, SA, Antoniou, AC, and Pharoah, PDP

Subjects
ovarian cancer, endocrine system diseases, genome-wide association studies, epidemiology, female genital diseases and pregnancy complications, 3. Good health
Abstract

To identify common alleles associated with different histotypes of epithelial ovarian cancer (EOC), we pooled data from multiple genome-wide genotyping projects totaling 25,509 EOC cases and 40,941 controls. We identified nine new susceptibility loci for different EOC histotypes: six for serous EOC histotypes (3q28, 4q32.3, 8q21.11, 10q24.33, 18q11.2 and 22q12.1), two for mucinous EOC (3q22.3 and 9q31.1) and one for endometrioid EOC (5q12.3). We then performed meta-analysis on the results for high-grade serous ovarian cancer with the results from analysis of 31,448 $\textit{BRCA1}$ and $\textit{BRCA2}$ mutation carriers, including 3,887 mutation carriers with EOC. This identified three additional susceptibility loci at 2q13, 8q24.1 and 12q24.31. Integrated analyses of genes and regulatory biofeatures at each locus predicted candidate susceptibility genes, including OBFC1, a new candidate susceptibility gene for low-grade and borderline serous EOC.

29. Functional mechanisms underlying pleiotropic risk alleles at the 19p13.1 breast-ovarian cancer susceptibility locus

Author

Lawrenson, K, Kar, S, McCue, K, Kuchenbaeker, K, Michailidou, K, Tyrer, J, Beesley, J, Ramus, SJ, Li, Q, Delgado, MK, Lee, JM, Aittomäki, K, Andrulis, IL, Anton-Culver, H, Arndt, V, Arun, BK, Arver, B, Bandera, EV, Barile, M, Barkardottir, RB, Barrowdale, D, Beckmann, MW, Benitez, J, Berchuck, A, Bisogna, M, Bjorge, L, Blomqvist, C, Blot, W, Bogdanova, N, Bojesen, A, Bojesen, SE, Bolla, MK, Bonanni, B, Børresen-Dale, A-L, Brauch, H, Brennan, P, Brenner, H, Bruinsma, F, Brunet, J, Buhari, SA, Burwinkel, B, Butzow, R, Buys, SS, Cai, Q, Caldes, T, Campbell, I, Canniotto, R, Chang-Claude, J, Chiquette, J, Choi, J-Y, Claes, KBM, GEMO Study Collaborators, Cook, LS, Cox, A, Cramer, DW, Cross, SS, Cybulski, C, Czene, K, Daly, MB, Damiola, F, Dansonka-Mieszkowska, A, Darabi, H, Dennis, J, Devilee, P, Diez, O, Doherty, JA, Domchek, SM, Dorfling, CM, Dörk, T, Dumont, M, Ehrencrona, H, Ejlertsen, B, Ellis, S, EMBRACE, Engel, C, Lee, E, Evans, DG, Fasching, PA, Feliubadalo, L, Figueroa, J, Flesch-Janys, D, Fletcher, O, Flyger, H, Foretova, L, Fostira, F, Foulkes, WD, Fridley, BL, Friedman, E, Frost, D, Gambino, G, Ganz, PA, Garber, J, García-Closas, M, Gentry-Maharaj, A, Ghoussaini, M, Giles, GG, Glasspool, R, Godwin, AK, Goldberg, MS, Goldgar, DE, González-Neira, A, Goode, EL, Goodman, MT, Greene, MH, Gronwald, J, Guénel, P, Haiman, CA, Hall, P, Hallberg, E, Hamann, U, Hansen, TVO, Harrington, PA, Hartman, M, Hassan, N, Healey, S, Hereditary Breast And Ovarian Cancer Research Group Netherlands (HEBON), Heitz, F, Herzog, J, Høgdall, E, Høgdall, CK, Hogervorst, FBL, Hollestelle, A, Hopper, JL, Hulick, PJ, Huzarski, T, Imyanitov, EN, KConFab Investigators, Australian Ovarian Cancer Study Group, Isaacs, C, Ito, H, Jakubowska, A, Janavicius, R, Jensen, A, John, EM, Johnson, N, Kabisch, M, Kang, D, Kapuscinski, M, Karlan, BY, Khan, S, Kiemeney, LA, Kjaer, SK, Knight, JA, Konstantopoulou, I, Kosma, V-M, Kristensen, V, Kupryjanczyk, J, Kwong, A, De La Hoya, M, Laitman, Y, Lambrechts, D, Le, N, De Leeneer, K, Lester, J, Levine, DA, Li, J, Lindblom, A, Long, J, Lophatananon, A, Loud, JT, Lu, K, Lubinski, J, Mannermaa, A, Manoukian, S, Le Marchand, L, Margolin, S, Marme, F, Massuger, LFAG, Matsuo, K, Mazoyer, S, McGuffog, L, McLean, C, McNeish, I, Meindl, A, Menon, U, Mensenkamp, AR, Milne, RL, Montagna, M, Moysich, KB, Muir, K, Mulligan, AM, Nathanson, KL, Ness, RB, Neuhausen, SL, Nevanlinna, H, Nord, S, Nussbaum, RL, Odunsi, K, Offit, K, Olah, E, Olopade, OI, Olson, JE, Olswold, C, O'Malley, D, Orlow, I, Orr, N, Osorio, A, Park, SK, Pearce, CL, Pejovic, T, Peterlongo, P, Pfeiler, G, Phelan, CM, Poole, EM, Pylkäs, K, Radice, P, Rantala, J, Rashid, MU, Rennert, G, Rhenius, V, Rhiem, K, Risch, HA, Rodriguez, G, Rossing, MA, Rudolph, A, Salvesen, HB, Sangrajrang, S, Sawyer, EJ, Schildkraut, JM, Schmidt, MK, Schmutzler, RK, Sellers, TA, Seynaeve, C, Shah, M, Shen, C-Y, Shu, X-O, Sieh, W, Singer, CF, Sinilnikova, OM, Slager, S, Song, H, Soucy, P, Southey, MC, Stenmark-Askmalm, M, Stoppa-Lyonnet, D, Sutter, C, Swerdlow, A, Tchatchou, S, Teixeira, MR, Teo, SH, Terry, KL, Terry, MB, Thomassen, M, Tibiletti, MG, Tihomirova, L, Tognazzo, S, Toland, AE, Tomlinson, I, Torres, D, Truong, T, Tseng, C-C, Tung, N, Tworoger, SS, Vachon, C, Van Den Ouweland, AMW, Van Doorn, HC, Van Rensburg, EJ, Van't Veer, LJ, Vanderstichele, A, Vergote, I, Vijai, J, Wang, Q, Wang-Gohrke, S, Weitzel, JN, Wentzensen, N, Whittemore, AS, Wildiers, H, Winqvist, R, Wu, AH, Yannoukakos, D, Yoon, S-Y, Yu, J-C, Zheng, W, Zheng, Y, Khanna, KK, Simard, J, Monteiro, AN, French, JD, Couch, FJ, Freedman, ML, Easton, DF, Dunning, AM, Pharoah, PD, Edwards, SL, Chenevix-Trench, G, Antoniou, AC, and Gayther, SA

Subjects
Ovarian Neoplasms, Genotype, Black People, Breast Neoplasms, Polymorphism, Single Nucleotide, 3. Good health, Asian People, Humans, Female, Genetic Predisposition to Disease, RNA, Messenger, Chromosomes, Human, Pair 19, Alleles, Genome-Wide Association Study
Abstract

A locus at 19p13 is associated with breast cancer (BC) and ovarian cancer (OC) risk. Here we analyse 438 SNPs in this region in 46,451 BC and 15,438 OC cases, 15,252 BRCA1 mutation carriers and 73,444 controls and identify 13 candidate causal SNPs associated with serous OC (P=9.2 × 10(-20)), ER-negative BC (P=1.1 × 10(-13)), BRCA1-associated BC (P=7.7 × 10(-16)) and triple negative BC (P-diff=2 × 10(-5)). Genotype-gene expression associations are identified for candidate target genes ANKLE1 (P=2 × 10(-3)) and ABHD8 (P

30. Proteogenomic and metabolomic characterization of human glioblastoma

Author

Cristina E. Tognon, Larisa Polonskaya, Tara Skelly, Shuang Cai, Francesmary Modugno, Larissa Rossell, Nancy Roche, Chen Huang, Jessika Baral, Fulvio D'Angelo, Wen-Wei Liang, Chia-Feng Tsai, Sneha P. Couvillion, Karin D. Rodland, Jun Zhu, Liang-Bo Wang, Paul D. Piehowski, Antonio Colaprico, Anupriya Agarwal, Matthew A. Wyczalkowski, Umut Ozbek, Francesca Petralia, Alexis Demopoulos, William W. Maggio, Lin Chen, Katherine A. Hoadley, Richard D. Smith, Sandra Cottingham, John McGee, Marcin J. Domagalski, Houxiang Zhu, Emek Demir, Rebecca I. Montgomery, Jamie Moon, Rashna Madan, George D. Wilson, Luciano Garofano, Ewa P. Malc, Chelsea J. Newton, Steven A. Carr, Chandan Kumar-Sinha, Donghui Tan, Christopher R. Kinsinger, Oxana Paklina, Weiqing Wan, Stephanie De Young, Sandra Cerda, Shankha Satpathy, Wojciech Kaspera, Linda Hannick, Gad Getz, Runyu Hong, Shuangjia Lu, Ziad Hanhan, Daniel C. Rohrer, Annette Marrero-Oliveras, Wojciech Szopa, Yuxing Liao, Amanda G. Paulovich, Jiayi Ji, Denis A. Golbin, Tara Hiltke, Weiva Sieh, Piotr A. Mieczkowski, Matthew E. Monroe, Gilbert S. Omenn, Jill S. Barnholtz-Sloan, Azra Krek, Bing Zhang, Brittany Henderson, Peter B. McGarvey, Ratna R. Thangudu, Maciej Wiznerowicz, Saravana M. Dhanasekaran, Alex Webster, Kai Li, Karna Robinson, Nan Ji, Karl K. Weitz, Simina M. Boca, Xiaoyu Song, Anna Calinawan, Adam C. Resnick, Brian J. Druker, Dana R. Valley, David J. Clark, Tao Liu, Eric J. Jaehnig, Alicia Francis, Michele Ceccarelli, Rui Zhao, Dmitry Rykunov, Boris Reva, Elizabeth R. Duffy, Antonio Iavarone, Dave Tabor, Joshua F. McMichael, Daniel Cui Zhou, Maureen Dyer, Kimberly Elburn, Scott D. Jewell, Negin Vatanian, Shirley Tsang, Seungyeul Yoo, Alexander R. Pico, Grace Zhao, Kent J. Bloodsworth, Chet Birger, Jena Lilly, Eunkyung An, Jeffrey R. Whiteaker, Albert H. Kim, Yige Wu, Karen A. Ketchum, Felipe D. Leprevost, Alcida Karz, Uma Borate, Nathan Edwards, Uma Velvulou, Melissa Borucki, Vasileios Stathias, Sanford P. Markey, Corbin D. Jones, Ronald J. Moore, MacIntosh Cornwell, Karsten Krug, Michael J. Birrer, James Suh, Tomasz Czernicki, Jason E. McDermott, Emily S. Boja, Pei Wang, Nina Martinez, Wenke Liu, Yan Shi, Lili Blumenberg, Emily Kawaler, Jeffrey W. Tyner, Feng Chen, Jakub Stawicki, Ki Sung Um, Arul M. Chinnaiyan, Robert Zelt, Jacob J. Day, Zhen Zhang, Caleb M. Lindgren, Li Ding, Nikolay Gabrovski, Hongwei Liu, Jonathan T. Lei, Alla Karpova, Ramani B. Kothadia, Sailaja Mareedu, Mitual Amin, Hannah Boekweg, Jennifer E. Kyle, Sara R. Savage, Brian R. Rood, Yuriy Zakhartsev, Matthew L. Anderson, Alyssa Charamut, Wagma Caravan, Shakti Ramkissoon, Junmei Wang, Song Cao, Samuel H. Payne, Rosalie K. Chu, Rajiv Dhir, David W. Andrews, Galen Hostetter, Liqun Qi, Zhiao Shi, Milan G. Chheda, Robert Edwards, Hui Zhang, Weiping Ma, Jennifer M. Eschbacher, Stacey Gabriel, Jan Lubinski, Lijun Yao, Erika M. Zink, Kelly L. Stratton, William Bocik, Mathangi Thiagarajan, Shilpi Singh, Michael A. Gillette, Lisa M. Bramer, Thomas L. Bauer, Michael Vernon, Henry Rodriguez, Dimitris G. Placantonakis, Eric E. Schadt, Alexey I. Nesvizhskii, Vladislav A. Petyuk, Ana I. Robles, Yvonne Shutack, Anna Malovannaya, Stephen E. Stein, Xi Chen, Lyndon Kim, Yize Li, Shannon Richey, Stephan C. Schürer, Barbara Hindenach, Matthew J. Ellis, Yongchao Dou, David Fenyö, Amy M. Perou, Olga Potapova, Shrabanti Chowdhury, Andrew K. Godwin, Marcin Cieślik, Michael C. Wendl, Marina A. Gritsenko, Pietro Pugliese, Elie Traer, Simona Migliozzi, D. R. Mani, Houston Culpepper, Gregory J. Riggins, Xiaolu Yang, Mehdi Mesri, David Chesla, Lindsey K. Olsen, Lori J. Sokoll, Suhas Vasaikar, Liwei Zhang, Meghan C. Burke, Kelly V. Ruggles, Qing Kay Li, Daniel W. Chan, Bo Wen, Nicollette Maunganidze, Darlene Tansil, Joseph H. Rothstein, Barbara Pruetz, Pushpa Hariharan, Wang, L. -B., Karpova, A., Gritsenko, M. A., Kyle, J. E., Cao, S., Li, Y., Rykunov, D., Colaprico, A., Rothstein, J. H., Hong, R., Stathias, V., Cornwell, M., Petralia, F., Wu, Y., Reva, B., Krug, K., Pugliese, P., Kawaler, E., Olsen, L. K., Liang, W. -W., Song, X., Dou, Y., Wendl, M. C., Caravan, W., Liu, W., Cui Zhou, D., Ji, J., Tsai, C. -F., Petyuk, V. A., Moon, J., Ma, W., Chu, R. K., Weitz, K. K., Moore, R. J., Monroe, M. E., Zhao, R., Yang, X., Yoo, S., Krek, A., Demopoulos, A., Zhu, H., Wyczalkowski, M. A., Mcmichael, J. F., Henderson, B. L., Lindgren, C. M., Boekweg, H., Lu, S., Baral, J., Yao, L., Stratton, K. G., Bramer, L. M., Zink, E., Couvillion, S. P., Bloodsworth, K. J., Satpathy, S., Sieh, W., Boca, S. M., Schurer, S., Chen, F., Wiznerowicz, M., Ketchum, K. A., Boja, E. S., Kinsinger, C. R., Robles, A. I., Hiltke, T., Thiagarajan, M., Nesvizhskii, A. I., Zhang, B., Mani, D. R., Ceccarelli, M., Chen, X. S., Cottingham, S. L., Li, Q. K., Kim, A. H., Fenyo, D., Ruggles, K. V., Rodriguez, H., Mesri, M., Payne, S. H., Resnick, A. C., Wang, P., Smith, R. D., Iavarone, A., Chheda, M. G., Barnholtz-Sloan, J. S., Rodland, K. D., Liu, T., Ding, L., Agarwal, A., Amin, M., An, E., Anderson, M. L., Andrews, D. W., Bauer, T., Birger, C., Birrer, M. J., Blumenberg, L., Bocik, W. E., Borate, U., Borucki, M., Burke, M. C., Cai, S., Calinawan, A. P., Carr, S. A., Cerda, S., Chan, D. W., Charamut, A., Chen, L. S., Chesla, D., Chinnaiyan, A. M., Chowdhury, S., Cieslik, M. P., Clark, D. J., Culpepper, H., Czernicki, T., D'Angelo, F., Day, J., De Young, S., Demir, E., Dhanasekaran, S. M., Dhir, R., Domagalski, M. J., Druker, B., Duffy, E., Dyer, M., Edwards, N. J., Edwards, R., Elburn, K., Ellis, M. J., Eschbacher, J., Francis, A., Gabriel, S., Gabrovski, N., Garofano, L., Getz, G., Gillette, M. A., Godwin, A. K., Golbin, D., Hanhan, Z., Hannick, L. I., Hariharan, P., Hindenach, B., Hoadley, K. A., Hostetter, G., Huang, C., Jaehnig, E., Jewell, S. D., Ji, N., Jones, C. D., Karz, A., Kaspera, W., Kim, L., Kothadia, R. B., Kumar-Sinha, C., Lei, J., Leprevost, F. D., Li, K., Liao, Y., Lilly, J., Liu, H., Lubinski, J., Madan, R., Maggio, W., Malc, E., Malovannaya, A., Mareedu, S., Markey, S. P., Marrero-Oliveras, A., Martinez, N., Maunganidze, N., Mcdermott, J. E., Mcgarvey, P. B., Mcgee, J., Mieczkowski, P., Migliozzi, S., Modugno, F., Montgomery, R., Newton, C. J., Omenn, G. S., Ozbek, U., Paklina, O. V., Paulovich, A. G., Perou, A. M., Pico, A. R., Piehowski, P. D., Placantonakis, D. G., Polonskaya, L., Potapova, O., Pruetz, B., Qi, L., Ramkissoon, S., Resnick, A., Richey, S., Riggins, G., Robinson, K., Roche, N., Rohrer, D. C., Rood, B. R., Rossell, L., Savage, S. R., Schadt, E. E., Shi, Y., Shi, Z., Shutack, Y., Singh, S., Skelly, T., Sokoll, L. J., Stawicki, J., Stein, S. E., Suh, J., Szopa, W., Tabor, D., Tan, D., Tansil, D., Thangudu, R. R., Tognon, C., Traer, E., Tsang, S., Tyner, J., Um, K. S., Valley, D. R., Vasaikar, S., Vatanian, N., Velvulou, U., Vernon, M., Wan, W., Wang, J., Webster, A., Wen, B., Whiteaker, J. R., Wilson, G. D., Zakhartsev, Y., Zelt, R., Zhang, H., Zhang, L., Zhang, Z., Zhao, G., and Zhu, J.

Subjects
Proteomics, 0301 basic medicine, Cancer Research, CPTAC, Histone H2B acetylation, Protein Tyrosine Phosphatase, Non-Receptor Type 11, Computational biology, Biology, Article, 03 medical and health sciences, lipidome, 0302 clinical medicine, Metabolomics, proteogenomic, Humans, Phosphorylation, EP300, proteomic, Proteogenomics, acetylome, single nuclei RNA-seq, Brain Neoplasms, Phospholipase C gamma, glioblastoma, Computational Biology, Lipidome, 030104 developmental biology, Histone, Oncology, Acetylation, 030220 oncology & carcinogenesis, Mutation, biology.protein, metabolome, signaling
Abstract

Glioblastoma (GBM) is the most aggressive nervous system cancer. Understanding its molecular pathogenesis is crucial to improving diagnosis and treatment. Integrated analysis of genomic, proteomic, post-translational modification and metabolomic data on 99 treatment-naive GBMs provides insights to GBM biology. We identify key phosphorylation events (e.g., phosphorylated PTPN11 and PLCG1) as potential switches mediating oncogenic pathway activation, as well as potential targets for EGFR-, TP53-, and RB1-altered tumors. Immune subtypes with distinct immune cell types are discovered using bulk omics methodologies, validated by snRNA-seq, and correlated with specific expression and histone acetylation patterns. Histone H2B acetylation in classical-like and immune-low GBM is driven largely by BRDs, CREBBP, and EP300. Integrated metabolomic and proteomic data identify specific lipid distributions across subtypes and distinct global metabolic changes in IDH-mutated tumors. This work highlights biological relationships that could contribute to stratification of GBM patients for more effective treatment. Wang et al. perform integrated proteogenomic analysis of adult glioblastoma (GBM), including metabolomics, lipidomics, and single nuclei RNA-Seq, revealing insights into the immune landscape of GBM, cell-specific nature of EMT signatures, histone acetylation in classical GBM, and the existence of signaling hubs which could provide therapeutic vulnerabilities.

Published
2021

31. Risk of Anxiety Disorders in Men With Prostate Cancer: A National Cohort Study.

Author

Crump C, Stattin P, Brooks JD, Sundquist J, Sundquist K, and Sieh W

Abstract

Background: Men with prostate cancer (PC) may experience significant psychosocial distress from physical symptoms, treatment side effects, or fear of recurrence. However, little is known about the long-term risk of anxiety disorders in men with PC., Methods: A national cohort study was conducted of 180,189 men diagnosed with PC during 1998-2017 and 1,801,890 age-matched population-based control men in Sweden. Anxiety disorders were ascertained from nationwide outpatient and inpatient records through 2018. Cox regression was used to estimate hazard ratios (HRs) while adjusting for sociodemographic factors and prior psychiatric disorders. Subanalyses explored differences by PC treatment during 2005-2017., Results: In 7.8 million person-years of follow-up, 94,387 (5%) men were diagnosed with anxiety disorders. Men with high-risk PC had a nearly 2-fold higher risk of anxiety disorders than control men without PC (adjusted HR, 1.96; 95% CI, 1.87-2.05). This risk was highest in the first 3 months after PC diagnosis (adjusted HR, 2.99; 95% CI, 2.49-3.59) but remained significantly elevated ≥10 years later (adjusted HR, 1.53; 95% CI, 1.35-1.74). Those treated only with androgen deprivation therapy (ADT) had the highest risk of anxiety disorders (adjusted HR, 2.08; 95% CI, 1.93-2.25). Men with low- or intermediate-risk PC had a modestly increased risk (adjusted HR, 1.39; 95% CI, 1.34-1.44)., Conclusions: In this large national cohort, men with PC had substantially increased risk of anxiety disorders, especially those with high-risk PC and treated only with ADT. Men with PC need close monitoring for timely detection and treatment of anxiety symptoms, particularly shortly after PC diagnosis., (© The Author(s) 2024. Published by Oxford University Press.)

Published
2024
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32. Racial and ethnic differences in epithelial ovarian cancer risk: an analysis from the Ovarian Cancer Association Consortium.

Author

Meagher NS, White KK, Wilkens LR, Bandera EV, Berchuck A, Carney ME, Cramer DW, Cushing-Haugen KL, Jordan S, Kaufmann SH, Le ND, Pike MC, Riggan M, Qin B, Rothstein JH, Titus L, Winham SJ, Anton-Culver H, Doherty JA, Goode EL, Pearce CL, Risch HA, Webb PM, Cook LS, Goodman MT, Harris HR, Le Marchand L, McGuire V, Pharoah PDP, Sarink D, Schildkraut JM, Sieh W, Terry KL, Thompson PJ, Whittemore AS, Wu AH, Peres LC, and Merritt MA

Subjects
Humans, Female, Middle Aged, Risk Factors, Adult, Case-Control Studies, Aged, Sterilization, Tubal statistics & numerical data, Parity, Asian statistics & numerical data, White People statistics & numerical data, Hispanic or Latino statistics & numerical data, United States epidemiology, Contraceptives, Oral adverse effects, Logistic Models, Smoking ethnology, Smoking epidemiology, Neoplasms, Glandular and Epithelial ethnology, Neoplasms, Glandular and Epithelial epidemiology, Ethnicity statistics & numerical data, Odds Ratio, Ovarian Neoplasms ethnology, Ovarian Neoplasms epidemiology, Carcinoma, Ovarian Epithelial ethnology, Carcinoma, Ovarian Epithelial epidemiology, Native Hawaiian or Other Pacific Islander statistics & numerical data
Abstract

Limited estimates exist on risk factors for epithelial ovarian cancer (EOC) in Asian, Hispanic, and Native Hawaiian/Pacific Islander women. Participants in this study included 1734 Asian (n = 785 case and 949 control participants), 266 Native Hawaiian/Pacific Islander (n = 99 case and 167 control participants), 1149 Hispanic (n = 505 case and 644 control participants), and 24 189 White (n = 9981 case and 14 208 control participants) from 11 studies in the Ovarian Cancer Association Consortium. Logistic regression models estimated odds ratios (ORs) and 95% CIs for risk associations by race and ethnicity. Heterogeneity in EOC risk associations by race and ethnicity (P ≤ .02) was observed for oral contraceptive (OC) use, parity, tubal ligation, and smoking. We observed inverse associations with EOC risk for OC use and parity across all groups; associations were strongest in Native Hawaiian/Pacific Islander and Asian women. The inverse association for tubal ligation with risk was most pronounced for Native Hawaiian/Pacific Islander participants (odds ratio (OR) = 0.25; 95% CI, 0.13-0.48) compared with Asian and White participants (OR = 0.68 [95% CI, 0.51-0.90] and OR = 0.78 [95% CI, 0.73-0.85], respectively). Differences in EOC risk factor associations were observed across racial and ethnic groups, which could be due, in part, to varying prevalence of EOC histotypes. Inclusion of greater diversity in future studies is essential to inform prevention strategies. This article is part of a Special Collection on Gynecological Cancers., (© The Author(s) 2024. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health.)

Published
2024
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34. Pre-diagnosis tea and coffee consumption and survival after a diagnosis of ovarian cancer: results from the Ovarian Cancer Association Consortium.

Author

Nagle CM, Ibiebele TI, Bandera EV, Cramer D, Doherty JA, Giles GG, Goodman MT, Hanley GE, Harris HR, Jensen A, Kjaer SK, Lee AW, Milne RL, Qin B, Richardson J, Sasamoto N, Sieh W, Terry KL, Titus L, Trabert B, Wentzensen N, Wu AH, Berchuck A, Pike M, Pearce CL, and Webb PM

Abstract

Background: Tea and coffee are the most frequently consumed beverages in the world. Green tea in particular contains compounds with potential anti-cancer effects, but its association with survival after ovarian cancer is uncertain., Methods: We investigated the associations between tea and coffee consumption before diagnosis and survival using data from 10 studies in the Ovarian Cancer Association Consortium. Data on tea (green, black, herbal), coffee and caffeine intake were available for up to 5724 women. We used Cox proportional hazards regression to estimate adjusted hazard ratios (aHR) and 95% confidence intervals (CI)., Results: Compared with women who did not drink any green tea, consumption of one or more cups/day was associated with better overall survival (aHR = 0.84, 95% CI 0.71-1.00, p-trend = 0.04). A similar association was seen for ovarian cancer-specific survival in five studies with this information (aHR = 0.81, 0.66-0.99, p-trend = 0.045). There was no consistent variation between subgroups defined by clinical or lifestyle characteristics and adjustment for other aspects of lifestyle did not appreciably alter the estimates. We found no evidence of an association between coffee, black or herbal tea, or caffeine intake and survival., Conclusion: The observed association with green tea consumption before diagnosis raises the possibility that consumption after diagnosis might improve patient outcomes., (© 2024. The Author(s).)

Published
2024
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35. Variants in Vitamin D-related Genes and Prostate Cancer Risk in Black Men.

Author

Layne TM, Rothstein JH, Song X, Andersen SW, Benn EKT, Sieh W, and Klein RJ

Abstract

Background: The relationship between vitamin D and prostate cancer has primarily been characterized among White men. However, Black men have higher prostate cancer incidence and mortality rates, chronically low circulating vitamin D levels, and ancestry-specific genetic variants in vitamin D-related genes. Here, we examine six critical genes in the vitamin D pathway and prostate cancer risk in Black men., Methods: We assessed a total of 69 candidate variants in six genes ( GC, CYP27A1, CYP27B1, CYP24A1, VDR , and RXRA ) including functional variants previously associated with prostate cancer and circulating 25(OHD) in White men. Associations with prostate cancer risk were examined using genome-wide association study data for approximately 10,000 prostate cancer cases and 10,000 controls among Black men and over 85,000 cases and 91,000 controls among White men. A statistical significance threshold of 0.000724 was used to account for the 69 variants tested., Results: None of the variants examined were significantly associated with prostate cancer risk among Black men after multiple comparison adjustment. Four variants tested P<0.05 in Black men, including two in RXRA (rs41400444 OR=1.09, 95% CI: 1.01-1.17, P = 0.024 and rs10881574 OR = 0.93, 0.87-1.00, P = 0.046) and two in VDR (rs2853563 OR = 1.07, 1.01-1.13, P = 0.017 and rs1156882 OR = 1.06, 1.00-1.12, P = 0.045). Two variants in VDR were also positively associated with risk in White men (rs11568820 OR = 1.04, 1.02-1.06, P = 0.00024 and rs4516035 OR = 1.03, 1.01-1.04, P = 0.00055)., Conclusion: We observed suggestive non-significant associations between genetic variants in RXRA and VDR and prostate cancer risk in Black men. Future research exploring the relationship of vitamin D with cancer risk in Black men will need larger sample sizes to identify ancestry-specific variants relevant to risk in this population.

Published
2024
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36. Mammographic density mediates the protective effect of early-life body size on breast cancer risk.

Author

Vabistsevits M, Davey Smith G, Richardson TG, Richmond RC, Sieh W, Rothstein JH, Habel LA, Alexeeff SE, Lloyd-Lewis B, and Sanderson E

Subjects
Humans, Female, Risk Factors, Child, Body Size, Adult, Polymorphism, Single Nucleotide, Middle Aged, Breast Neoplasms genetics, Breast Neoplasms diagnostic imaging, Breast Density, Adiposity genetics, Mammography, Mendelian Randomization Analysis, Menarche
Abstract

The unexplained protective effect of childhood adiposity on breast cancer risk may be mediated via mammographic density (MD). Here, we investigate a complex relationship between adiposity in childhood and adulthood, puberty onset, MD phenotypes (dense area (DA), non-dense area (NDA), percent density (PD)), and their effects on breast cancer. We use Mendelian randomization (MR) and multivariable MR to estimate the total and direct effects of adiposity and age at menarche on MD phenotypes. Childhood adiposity has a decreasing effect on DA, while adulthood adiposity increases NDA. Later menarche increases DA/PD, but when accounting for childhood adiposity, this effect is attenuated. Next, we examine the effect of MD on breast cancer risk. DA/PD have a risk-increasing effect on breast cancer across all subtypes. The MD SNPs estimates are heterogeneous, and additional analyses suggest that different mechanisms may be linking MD and breast cancer. Finally, we evaluate the role of MD in the protective effect of childhood adiposity on breast cancer. Mediation MR analysis shows that 56% (95% CIs [32%-79%]) of this effect is mediated via DA. Our finding suggests that higher childhood adiposity decreases mammographic DA, subsequently reducing breast cancer risk. Understanding this mechanism is important for identifying potential intervention targets., (© 2024. The Author(s).)

Published
2024
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37. Risks of depression, anxiety, and suicide in partners of men with prostate cancer: a national cohort study.

Author

Crump C, Stattin P, Brooks JD, Sundquist J, Edwards AC, Sundquist K, and Sieh W

Subjects
Humans, Male, Middle Aged, Aged, Sweden epidemiology, Cohort Studies, Risk Factors, Anxiety epidemiology, Anxiety etiology, Depression epidemiology, Depression etiology, Female, Sexual Partners psychology, Adult, Anxiety Disorders epidemiology, Anxiety Disorders etiology, Depressive Disorder, Major epidemiology, Aged, 80 and over, Prostatic Neoplasms psychology, Prostatic Neoplasms mortality, Prostatic Neoplasms pathology, Prostatic Neoplasms epidemiology, Suicide statistics & numerical data, Suicide psychology
Abstract

Background: A diagnosis of prostate cancer (PC) may cause psychosocial distress not only in a man but also in his intimate partner. However, long-term risks of depression, anxiety, or suicide in partners of men with PC are largely unknown., Methods: A national cohort study was conducted of 121 530 partners of men diagnosed with PC during 1998-2017 and 1 093 304 population-based controls in Sweden. Major depression, anxiety disorder, and suicide death were ascertained through 2018. Cox regression was used to compute hazard ratios (HRs) while adjusting for sociodemographic factors., Results: Partners of men with high-risk PC had increased risks of major depression (adjusted HR = 1.34, 95% confidence interval [CI] = 1.30 to 1.39) and anxiety disorder (adjusted HR = 1.25, 95% CI = 1.20 to 1.30), which remained elevated 10 or more years later. Suicide death was increased in partners of men with distant metastases (adjusted HR = 2.38, 95% CI = 1.08 to 5.22) but not other high-risk PC (adjusted HR =1.14, 95% CI = 0.70 to 1.88). Among partners of men with high-risk PC, risks of major depression and anxiety disorder were highest among those 80 years of age or older (adjusted HR = 1.73; 95% CI = 1.53 to 1.96; adjusted HR = 1.70, 95% CI = 1.47 to 1.96, respectively), whereas suicide death was highest among those younger than 60 years of age (adjusted HR = 7.55, 95% CI = 2.20 to 25.89). In contrast, partners of men with low- or intermediate-risk PC had modestly or no increased risks of these outcomes., Conclusions: In this large cohort, partners of men with high-risk PC had increased risks of major depression and anxiety disorder, which persisted for 10 or more years. Suicide death was increased 2-fold in partners of men with distant metastases. Partners as well as men with PC need psychosocial support and close follow-up for psychosocial distress., (© The Author(s) 2023. Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Published
2024
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39. Risk of depression in persons with Alzheimer's disease: A national cohort study.

Author

Crump C, Sieh W, Vickrey BG, Edwards AC, Sundquist J, and Sundquist K

Abstract

Introduction: Depression is a risk factor and possible prodromal symptom of Alzheimer's disease (AD), but little is known about subsequent risk of developing depression in persons with AD., Methods: National matched cohort study was conducted of all 129,410 persons diagnosed with AD and 390,088 with all-cause dementia during 1998-2017 in Sweden, and 3,900,880 age- and sex-matched controls without dementia, who had no prior depression. Cox regression was used to compute hazard ratios (HRs) for major depression through 2018., Results: Cumulative incidence of major depression was 13% in persons with AD and 3% in controls. Adjusting for sociodemographic factors and comorbidities, risk of major depression was greater than two-fold higher in women with AD (HR, 2.21; 95% confidence interval [CI], 2.11-2.32) or men with AD (2.68; 2.52-2.85), compared with controls. Similar results were found for all-cause dementia., Discussion: Persons diagnosed with AD or related dementias need close follow-up for timely detection and treatment of depression., Highlights: In a large cohort, women and men with AD had >2-fold subsequent risk of depression.Risks were highest in the first year (>3-fold) but remained elevated ≥3 years later.Risk of depression was highest in persons aged ≥85 years at AD diagnosis.Persons with AD need close follow-up for detection and treatment of depression., Competing Interests: The authors declare no conflicts of interest. Author disclosures are available in the supporting information, (© 2024 The Authors. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring published by Wiley Periodicals LLC on behalf of Alzheimer's Association.)

Published
2024
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40. Mortality Risks Associated with Depression in Men with Prostate Cancer.

Author

Crump C, Stattin P, Brooks JD, Sundquist J, Sieh W, and Sundquist K

Abstract

Background: Men diagnosed with prostate cancer (PC) have an increased risk of depression; however, it is unclear to what extent depression affects long-term survival. A better understanding of such effects is needed to improve long-term care and outcomes for men with PC., Objective: To determine the associations between major depression and mortality in a national cohort of men with PC., Design, Setting, and Participants: A national cohort study was conducted of all 180 189 men diagnosed with PC in Sweden during 1998-2017. Subsequent diagnoses of major depression were ascertained from nationwide outpatient and inpatient records through 2018., Outcome Measurements and Statistical Analysis: Deaths were identified from nationwide records through 2018. Cox regression was used to compute hazard ratios (HRs) for all-cause mortality associated with major depression, adjusting for sociodemographic factors and comorbidities. Subanalyses assessed differences by PC treatment during 2005-2017. PC-specific mortality was examined using competing risks models., Results and Limitations: In 1.3 million person-years of follow-up, 16 134 (9%) men with PC were diagnosed with major depression and 65 643 (36%) men died. After adjusting for sociodemographic factors and comorbidities, major depression was associated with significantly higher all-cause mortality in men with high-risk PC (HR, 1.50; 95% confidence interval [CI], 1.44-1.55) or low- or intermediate-risk PC (1.64; 1.56-1.71). These risks were elevated regardless of PC treatment or age at PC diagnosis, except for youngest men (<55 yr) in whom the risks were nonsignificant. Major depression was also associated with increased PC-specific mortality in men with either high-risk PC (HR, 1.35; 95% CI, 1.28-1.43) or low- or intermediate-risk PC (1.42; 1.27-1.59). This study was limited to Sweden and will need replication in other countries when feasible., Conclusions: In this national cohort of men with PC, major depression was associated with ∼50% higher all-cause mortality. Men with PC need timely detection and treatment of depression to support their long-term outcomes and survival., Patient Summary: In this report, we examined the effects of depression on survival in men with prostate cancer. We found that among all men with prostate cancer, those who developed depression had a 50% higher risk of dying than those without depression. Men with prostate cancer need close monitoring for the detection and treatment of depression to improve their long-term health outcomes., (Copyright © 2024 European Association of Urology. Published by Elsevier B.V. All rights reserved.)

Published
2024
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41. Large-scale genome-wide association study of 398,238 women unveils seven novel loci associated with high-grade serous epithelial ovarian cancer risk.

Author

Barnes DR, Tyrer JP, Dennis J, Leslie G, Bolla MK, Lush M, Aeilts AM, Aittomäki K, Andrieu N, Andrulis IL, Anton-Culver H, Arason A, Arun BK, Balmaña J, Bandera EV, Barkardottir RB, Berger LPV, de Gonzalez AB, Berthet P, Białkowska K, Bjørge L, Blanco AM, Blok MJ, Bobolis KA, Bogdanova NV, Brenton JD, Butz H, Buys SS, Caligo MA, Campbell I, Castillo C, Claes KBM, Colonna SV, Cook LS, Daly MB, Dansonka-Mieszkowska A, de la Hoya M, deFazio A, DePersia A, Ding YC, Domchek SM, Dörk T, Einbeigi Z, Engel C, Evans DG, Foretova L, Fortner RT, Fostira F, Foti MC, Friedman E, Frone MN, Ganz PA, Gentry-Maharaj A, Glendon G, Godwin AK, González-Neira A, Greene MH, Gronwald J, Guerrieri-Gonzaga A, Hamann U, Hansen TVO, Harris HR, Hauke J, Heitz F, Hogervorst FBL, Hooning MJ, Hopper JL, Huff CD, Huntsman DG, Imyanitov EN, Izatt L, Jakubowska A, James PA, Janavicius R, John EM, Kar S, Karlan BY, Kennedy CJ, Kiemeney LALM, Konstantopoulou I, Kupryjanczyk J, Laitman Y, Lavie O, Lawrenson K, Lester J, Lesueur F, Lopez-Pleguezuelos C, Mai PL, Manoukian S, May T, McNeish IA, Menon U, Milne RL, Modugno F, Mongiovi JM, Montagna M, Moysich KB, Neuhausen SL, Nielsen FC, Noguès C, Oláh E, Olopade OI, Osorio A, Papi L, Pathak H, Pearce CL, Pedersen IS, Peixoto A, Pejovic T, Peng PC, Peshkin BN, Peterlongo P, Powell CB, Prokofyeva D, Pujana MA, Radice P, Rashid MU, Rennert G, Richenberg G, Sandler DP, Sasamoto N, Setiawan VW, Sharma P, Sieh W, Singer CF, Snape K, Sokolenko AP, Soucy P, Southey MC, Stoppa-Lyonnet D, Sutphen R, Sutter C, Teixeira MR, Terry KL, Thomsen LCV, Tischkowitz M, Toland AE, Van Gorp T, Vega A, Velez Edwards DR, Webb PM, Weitzel JN, Wentzensen N, Whittemore AS, Winham SJ, Wu AH, Yadav S, Yu Y, Ziogas A, Berchuck A, Couch FJ, Goode EL, Goodman MT, Monteiro AN, Offit K, Ramus SJ, Risch HA, Schildkraut JM, Thomassen M, Simard J, Easton DF, Jones MR, Chenevix-Trench G, Gayther SA, Antoniou AC, and Pharoah PDP

Abstract

Background: Nineteen genomic regions have been associated with high-grade serous ovarian cancer (HGSOC). We used data from the Ovarian Cancer Association Consortium (OCAC), Consortium of Investigators of Modifiers of BRCA1/BRCA2 (CIMBA), UK Biobank (UKBB), and FinnGen to identify novel HGSOC susceptibility loci and develop polygenic scores (PGS)., Methods: We analyzed >22 million variants for 398,238 women. Associations were assessed separately by consortium and meta-analysed. OCAC and CIMBA data were used to develop PGS which were trained on FinnGen data and validated in UKBB and BioBank Japan., Results: Eight novel variants were associated with HGSOC risk. An interesting discovery biologically was finding that TP53 3'-UTR SNP rs78378222 was associated with HGSOC (per T allele relative risk (RR)=1.44, 95%CI:1.28-1.62, P=1.76×10 -9 ). The optimal PGS included 64,518 variants and was associated with an odds ratio of 1.46 (95%CI:1.37-1.54) per standard deviation in the UKBB validation (AUROC curve=0.61, 95%CI:0.59-0.62)., Conclusions: This study represents the largest GWAS for HGSOC to date. The results highlight that improvements in imputation reference panels and increased sample sizes can identify HGSOC associated variants that previously went undetected, resulting in improved PGS. The use of updated PGS in cancer risk prediction algorithms will then improve personalized risk prediction for HGSOC.

Published
2024
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42. Risk of Alzheimer's Disease and Related Dementias in Persons with Glaucoma: A National Cohort Study.

Author

Crump C, Sundquist J, Sieh W, and Sundquist K

Subjects
Male, Humans, Female, Cohort Studies, Comorbidity, Risk Factors, Alzheimer Disease epidemiology, Alzheimer Disease diagnosis, Dementia, Vascular complications, Dementia, Vascular diagnosis, Dementia, Vascular epidemiology, Low Tension Glaucoma
Abstract

Purpose: Glaucoma is a heterogeneous group of optic neuropathies that potentially may be associated with other cerebral neurodegenerative processes leading to dementia. However, prior studies have been inconsistent. We examined dementia risks after glaucoma diagnosis in a large population-based cohort., Design: National matched cohort study., Participants: A total of 324 730 persons diagnosed with glaucoma during 1995-2017 in Sweden and 3 247 300 age- and sex-matched population-based controls without prior dementia., Methods: Cox regression was used to compute hazard ratios (HRs) for Alzheimer's disease (AD), vascular dementia (VaD), and all-cause dementia in persons with glaucoma compared with controls, adjusting for sociodemographic factors and comorbidities., Main Outcome Measures: Alzheimer's disease, VaD, and all-cause dementia identified from nationwide inpatient and outpatient diagnoses through 2018., Results: In 16 million person-years of follow-up, 32 339 persons (10%) with glaucoma and 226 896 controls (7%) were diagnosed with dementia. Persons with glaucoma had increased risks for AD (adjusted HR, 1.39; 95% confidence interval [CI], 1.35-1.43), VaD (1.66; 1.61-1.72), and all-cause dementia (1.57; 1.54-1.59). Among glaucoma subtypes, both primary open-angle and normal-tension glaucoma were associated with increased risk for AD (adjusted HR, 1.31; 95% CI, 1.27-1.36; and 1.28; 1.20-1.36, respectively) and VaD (1.61; 1.54-1.68; and 1.39; 1.28-1.50, respectively), whereas primary angle-closure glaucoma was associated with VaD (1.26; 1.02-1.56) but not AD (0.98; 0.82-1.18). These findings were similar in men and women. All risks were highest in persons diagnosed with glaucoma at ages ≥ 70 years and were not elevated for ages < 60 years., Conclusions: In this large national cohort, persons with glaucoma had increased risks for AD, VaD, and all-cause dementia, particularly those diagnosed with glaucoma at older ages. Persons with glaucoma may need increased monitoring for dementia to facilitate earlier detection and treatment., Financial Disclosure(s): The author(s) have no proprietary or commercial interest in any materials discussed in this article., (Copyright © 2023 American Academy of Ophthalmology. Published by Elsevier Inc. All rights reserved.)

Published
2024
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43. Patient and physician perspectives on treatments for low-risk prostate cancer: a qualitative study.

Author

Guan A, Santiago-Rodríguez EJ, Chung BI, Shim JK, Allen L, Kuo MC, Lau K, Loya Z, Brooks JD, Cheng I, DeRouen MC, Frosch DL, Golden T, Leppert JT, Lichtensztajn DY, Lu Q, Oh D, Sieh W, Wadhwa M, Cooperberg MR, Carroll PR, Gomez SL, and Shariff-Marco S

Subjects
Male, Humans, Decision Making, Physician-Patient Relations, Qualitative Research, Physicians, Prostatic Neoplasms therapy
Abstract

Background: Patients diagnosed with low-risk prostate cancer (PCa) are confronted with a difficult decision regarding whether to undergo definitive treatment or to pursue an active surveillance protocol. This is potentially further complicated by the possibility that patients and physicians may place different value on factors that influence this decision. We conducted a qualitative investigation to better understand patient and physician perceptions of factors influencing treatment decisions for low-risk PCa., Methods: Semi-structured interviews were conducted among 43 racially and ethnically diverse patients diagnosed with low-risk PCa, who were identified through a population-based cancer registry, and 15 physicians who were selected to represent a variety of practice settings in the Greater San Francisco Bay Area., Results: Patients and physicians both described several key individual (e.g., clinical) and interpersonal (e.g., healthcare communications) factors as important for treatment decision-making. Overall, physicians' perceptions largely mirrored patients' perceptions. First, we observed differences in treatment preferences by age and stage of life. At older ages, there was a preference for less invasive options. However, at younger ages, we found varying opinions among both patients and physicians. Second, patients and physicians both described concerns about side effects including physical functioning and non-physical considerations. Third, we observed differences in expectations and the level of difficulty for clinical conversations based on information needs and resources between patients and physicians. Finally, we discovered that patients and physicians perceived patients' prior knowledge and the support of family/friends as facilitators of clinical conversations., Conclusions: Our study suggests that the gap between patient and physician perceptions on the influence of clinical and communication factors on treatment decision-making is not large. The consensus we observed points to the importance of developing relevant clinical communication roadmaps as well as high quality and accessible patient education materials., (© 2023. The Author(s).)

Published
2023
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44. The mediating role of mammographic density in the protective effect of early-life adiposity on breast cancer risk: a multivariable Mendelian randomization study.

Author

Vabistsevits M, Smith GD, Richardson TG, Richmond RC, Sieh W, Rothstein JH, Habel LA, Alexeeff SE, Lloyd-Lewis B, and Sanderson E

Abstract

Observational studies suggest that mammographic density (MD) may have a role in the unexplained protective effect of childhood adiposity on breast cancer risk. Here, we investigated a complex and interlinked relationship between puberty onset, adiposity, MD, and their effects on breast cancer using Mendelian randomization (MR). We estimated the effects of childhood and adulthood adiposity, and age at menarche on MD phenotypes (dense area (DA), non-dense area (NDA), percent density (PD)) using MR and multivariable MR (MVMR), allowing us to disentangle their total and direct effects. Next, we examined the effect of MD on breast cancer risk, including risk of molecular subtypes, and accounting for genetic pleiotropy. Finally, we used MVMR to evaluate whether the protective effect of childhood adiposity on breast cancer was mediated by MD. Childhood adiposity had a strong inverse effect on mammographic DA, while adulthood adiposity increased NDA. Later menarche had an effect of increasing DA and PD, but when accounting for childhood adiposity, this effect attenuated to the null. DA and PD had a risk-increasing effect on breast cancer across all subtypes. The MD single-nucleotide polymorphism (SNP) estimates were extremely heterogeneous, and examination of the SNPs suggested different mechanisms may be linking MD and breast cancer. Finally, MR mediation analysis estimated that 56% (95% CIs [32% - 79%]) of the childhood adiposity effect on breast cancer risk was mediated via DA. In this work, we sought to disentangle the relationship between factors affecting MD and breast cancer. We showed that higher childhood adiposity decreases mammographic DA, which subsequently leads to reduced breast cancer risk. Understanding this mechanism is of great importance for identifying potential targets of intervention, since advocating weight gain in childhood would not be recommended., Competing Interests: Competing interests T.G.R. is employed by GSK outside of this work, for unrelated research. All other authors declare no competing interests.

Published
2023
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45. Long-term Risks of Depression and Suicide Among Men with Prostate Cancer: A National Cohort Study.

Author

Crump C, Stattin P, Brooks JD, Sundquist J, Bill-Axelson A, Edwards AC, Sundquist K, and Sieh W

Subjects
Male, Humans, Cohort Studies, Androgen Antagonists, Depression epidemiology, Quality of Life, Prostatic Neoplasms therapy, Suicide
Abstract

Background: A diagnosis of prostate cancer (PC) may cause psychosocial distress that worsens quality of life; however, long-term mental health outcomes are unclear., Objective: To determine the long-term risks of major depression and death by suicide in a large population-based cohort., Design, Setting, and Participants: This was a national cohort study of 180 189 men diagnosed with PC during 1998-2017 and 1 801 890 age-matched, population-based, control men in Sweden., Outcome Measurements and Statistical Analysis: Major depression and death by suicide were ascertained from nationwide outpatient, inpatient, and death records up to 2018. Cox regression was used to compute hazard ratios (HRs) adjusted for sociodemographic factors and comorbidities. Subanalyses assessed differences by PC treatment during 2005-2017., Results and Limitations: Men diagnosed with high-risk PC had higher relative rates of major depression (adjusted HR [aHR] 1.82, 95% confidence interval [CI] 1.75-1.89) and death by suicide (aHR 2.43, 95% CI 2.01-2.95). These associations persisted for ≥10 yr after PC diagnosis. The relative increase in major depression was lower among those treated with radiation (aHR 1.44, 95% CI 1.31-1.57) or surgery (aHR 1.60, 95% CI 1.31-1.95) in comparison to androgen deprivation therapy (ADT) alone (aHR 2.02, 95% CI 1.89-2.16), whereas the relative rate of suicide death was higher only among those treated solely with ADT (aHR 2.83, 95% CI 1.80-4.43). By contrast, men with low- or intermediate-risk PC had a modestly higher relative rate of major depression (aHR 1.19, 95% CI 1.16-1.23) and higher relative rate of suicide death at 3-12 mo after PC diagnosis (aHR 1.88, 95% CI 1.11-3.18) but not across the entire follow-up period (aHR 1.02, 95% CI 0.84-1.25). This study was limited to Sweden and will need replication in other populations., Conclusions: In this large cohort, high-risk PC was associated with substantially higher relative rates of major depression and death by suicide, which persisted for ≥10 yr after PC diagnosis. PC survivors need close follow-up for timely detection and treatment of psychosocial distress., Patient Summary: In a large Swedish population, men with aggressive prostate cancer had higher long-term relative rates of depression and suicide., (Copyright © 2023 European Association of Urology. Published by Elsevier B.V. All rights reserved.)

Published
2023
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46. Examination of fully automated mammographic density measures using LIBRA and breast cancer risk in a cohort of 21,000 non-Hispanic white women.

Author

Habel LA, Alexeeff SE, Achacoso N, Arasu VA, Gastounioti A, Gerstley L, Klein RJ, Liang RY, Lipson JA, Mankowski W, Margolies LR, Rothstein JH, Rubin DL, Shen L, Sistig A, Song X, Villaseñor MA, Westley M, Whittemore AS, Yaffe MJ, Wang P, Kontos D, and Sieh W

Subjects
Female, Humans, Breast Density, Cohort Studies, White, Breast diagnostic imaging, Mammography methods, Risk Factors, Case-Control Studies, Breast Neoplasms diagnostic imaging, Breast Neoplasms epidemiology
Abstract

Background: Breast density is strongly associated with breast cancer risk. Fully automated quantitative density assessment methods have recently been developed that could facilitate large-scale studies, although data on associations with long-term breast cancer risk are limited. We examined LIBRA assessments and breast cancer risk and compared results to prior assessments using Cumulus, an established computer-assisted method requiring manual thresholding., Methods: We conducted a cohort study among 21,150 non-Hispanic white female participants of the Research Program in Genes, Environment and Health of Kaiser Permanente Northern California who were 40-74 years at enrollment, followed for up to 10 years, and had archived processed screening mammograms acquired on Hologic or General Electric full-field digital mammography (FFDM) machines and prior Cumulus density assessments available for analysis. Dense area (DA), non-dense area (NDA), and percent density (PD) were assessed using LIBRA software. Cox regression was used to estimate hazard ratios (HRs) for breast cancer associated with DA, NDA and PD modeled continuously in standard deviation (SD) increments, adjusting for age, mammogram year, body mass index, parity, first-degree family history of breast cancer, and menopausal hormone use. We also examined differences by machine type and breast view., Results: The adjusted HRs for breast cancer associated with each SD increment of DA, NDA and PD were 1.36 (95% confidence interval, 1.18-1.57), 0.85 (0.77-0.93) and 1.44 (1.26-1.66) for LIBRA and 1.44 (1.33-1.55), 0.81 (0.74-0.89) and 1.54 (1.34-1.77) for Cumulus, respectively. LIBRA results were generally similar by machine type and breast view, although associations were strongest for Hologic machines and mediolateral oblique views. Results were also similar during the first 2 years, 2-5 years and 5-10 years after the baseline mammogram., Conclusion: Associations with breast cancer risk were generally similar for LIBRA and Cumulus density measures and were sustained for up to 10 years. These findings support the suitability of fully automated LIBRA assessments on processed FFDM images for large-scale research on breast density and cancer risk., (© 2023. BioMed Central Ltd., part of Springer Nature.)

Published
2023
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47. Risks of alcohol and drug use disorders in prostate cancer survivors: a national cohort study.

Author

Crump C, Stattin P, Brooks JD, Sundquist J, Edwards AC, Sieh W, and Sundquist K

Subjects
Male, Humans, Cohort Studies, Prostate, Androgen Antagonists adverse effects, Androgens, Ethanol, Survivors, Cancer Survivors, Prostatic Neoplasms epidemiology, Alcoholism epidemiology
Abstract

Background: Prostate cancer (PC) survivors may potentially use substances to cope with psychological distress or poorly controlled physical symptoms. Little is known, however, about the long-term risks of alcohol use disorder (AUD) or drug use disorders in men with PC., Methods: A national cohort study was conducted in Sweden of 180 189 men diagnosed with PC between 1998 and 2017 and 1 801 890 age-matched population-based control men. AUD and drug use disorders were ascertained from nationwide records through 2018. Cox regression was used to compute hazard ratios (HRs) while adjusting for sociodemographic factors and prior psychiatric disorders. Subanalyses examined differences by PC treatment from 2005 to 2017., Results: Men with high-risk PC had increased risks of both AUD (adjusted HR = 1.44, 95% confidence interval [CI] = 1.33 to 1.57) and drug use disorders (adjusted HR = 1.93, 95% CI = 1.67 to 2.24). Their AUD risk was highest in the first year and was no longer significantly elevated 5 years after PC diagnosis, whereas their drug use disorders risk remained elevated 10 years after PC diagnosis (adjusted HR = 2.26, 95% CI = 1.45 to 3.52), particularly opioid use disorder (adjusted HR = 3.07, 95% CI = 1.61 to 5.84). Those treated only with androgen-deprivation therapy had the highest risks of AUD (adjusted HR = 1.91, 95% CI = 1.62 to 2.25) and drug use disorders (adjusted HR = 2.23, 95% CI = 1.70 to 2.92). Low- or intermediate-risk PC was associated with modestly increased risks of AUD (adjusted HR = 1.38, 95% CI = 1.30 to 1.46) and drug use disorders (adjusted HR = 1.19, 95% CI = 1.06 to 1.34)., Conclusions: In this large cohort, men with PC had significantly increased risks of both AUD and drug use disorders, especially those with high-risk PC and treated only with androgen-deprivation therapy. PC survivors need long-term psychosocial support and timely detection and treatment of AUD and drug use disorders., (© The Author(s) 2023. Published by Oxford University Press.)

Published
2023
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48. Clinical parameters affecting survival outcomes in patients with low-grade serous ovarian carcinoma: an international multicentre analysis.

Author

May T, Bernardini M, Lheureux S, Aben KKH, Bandera EV, Beckmann MW, Benitez J, Berchuck A, Bjørge L, Carney ME, Cramer DW, deFazio A, Dörk T, Eccles DM, Friedlander M, García MJ, Goode EL, Hein A, Høgdall CK, Jensen A, Johnatty S, Kennedy CJ, Kiemeney LA, Kjær SK, Kupryjańczyk J, Matsuo K, McGuire V, Modugno F, Paddock LE, Pejovic T, Phelan CM, Riggan MJ, Rodriguez-Antona C, Rothstein JH, Sieh W, Song H, Terry KL, van Altena AM, Vanderstichele A, Vergote I, Thomsen LCV, Webb PM, Wentzensen N, Wilkens LR, Ziogas A, Jiang H, and Tone A

Subjects
Humans, Female, Middle Aged, Retrospective Studies, Neoplasm Staging, Kaplan-Meier Estimate, Ovarian Neoplasms surgery, Ovarian Neoplasms drug therapy, Cystadenocarcinoma, Serous surgery, Cystadenocarcinoma, Serous drug therapy
Abstract

Background: Women with low-grade ovarian serous carcinoma (LGSC) benefit from surgical treatment; however, the role of chemotherapy is controversial. We examined an international database through the Ovarian Cancer Association Consortium to identify factors that affect survival in LGSC., Methods: We performed a retrospective cohort analysis of patients with LGSC who had had primary surgery and had overall survival data available. We performed univariate and multivariate analyses of progression-free survival and overall survival, and generated Kaplan-Meier survival curves., Results: Of the 707 patients with LGSC, 680 (96.2%) had available overall survival data. The patients' median age overall was 54 years. Of the 659 patients with International Federation of Obstetrics and Gynecology stage data, 156 (23.7%) had stage I disease, 64 (9.7%) had stage II, 395 (59.9%) had stage III, and 44 (6.7%) had stage IV. Of the 377 patients with surgical data, 200 (53.0%) had no visible residual disease. Of the 361 patients with chemotherapy data, 330 (91.4%) received first-line platinum-based chemotherapy. The median follow-up duration was 5.0 years. The median progression-free survival and overall survival were 43.2 months and 110.4 months, respectively. Multivariate analysis indicated a statistically significant impact of stage and residual disease on progression-free survival and overall survival. Platinum-based chemotherapy was not associated with a survival advantage., Conclusion: This multicentre analysis indicates that complete surgical cytoreduction to no visible residual disease has the most impact on improved survival in LGSC. This finding could immediately inform and change practice., Competing Interests: Competing interests: Stephanie Lheureux reports study grants from AstraZeneca, GSK and Roche, consulting fees from AstraZeneca, GSK, Roche, Novartis, Merck, Eisai Co. and Shattuck Labs, and speaker’s honororia from AstraZeneca, GSK, Eisai Co. and Merck. Line Bjørge is president of the Nordic Society of Gynaecological Oncology executive board. Anna deFazio sits on the Australia New Zealand Gynaecological Oncology Group (ANZGOG) Research Advisory Committee, the Clinical and Scientific Expert Advisory Panel of Ovarian Cancer Australia and the Scientific Advisory Committee of the Australian Gynaecological Cancer Foundation. She is chair of the Translational ANZGOG (TRANZGOG) Steering Committee, chair of the International Consortium for Low-Grade Serous Ovarian Cancer Steering Committee and chair of the ANZGOG Translational subcommittee. Michael Friedlander reports consulting fees from AstraZeneca, GSK, MSD, Eli Lilly and Company, Takeda and Novartis; payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing or educational events from Astra-Zeneca, GSK and ACT Genomics; and support for attending meetings and/or travel from AstraZeneca. He sits on the Australasian Gastrointestinal Trial Group independent data monitoring committee and is a Steering Committee member for Abbvie’s VELIA trial. Catherine Kennedy is a member of the International Society for Biological and Environmental Repositories Science Policy Committee and of the Australasian Biospecimen Network (ABNA) Management Committee. She is past president and treasurer of ABNA. Liv Cecilie Vestrheim Thomsen reports grants from AstraZeneca, and payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing or educational events from Bayer and AstraZeneca. She sits on an advisory board for Eisai Co. Ignace Vergote reports consulting fees from Deciphera Pharmaceuticals, Jazz Pharmaceuticals and Oncoinvent AS, and payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing or educational events from Agenus, AkseBio, AstraZeneca, Bristol Myers Squibb, Deciphera Pharmaceuticals, Eisai Co., F. Hoffmann-La Roche, Genmab, GSK, ImmunoGen, Jazz Pharmaceuticals, Karyopharm Therapeutics, MSD, Novocure, Novartis, Oncoinvent AS, Seagen and Sotio Biotech. He sits on a data safety monitoring board or advisory board for Agenus, AstraZeneca, Bristol Myers Squibb, Deciphera Pharmaceuticals, Eisai Co., F. Hoffmann-La Roche, Genmab, GSK, ImmunoGen, MSD, Novocure, Novartis, Seagen and Sotio Biotech. Penelope Webb reports a speaker’s honorarium from AstraZeneca. No other competing interests were declared., (© 2023 CMA Impact Inc. or its licensors.)

Published
2023
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49. Comparison of Mammography AI Algorithms with a Clinical Risk Model for 5-year Breast Cancer Risk Prediction: An Observational Study.

Author

Arasu VA, Habel LA, Achacoso NS, Buist DSM, Cord JB, Esserman LJ, Hylton NM, Glymour MM, Kornak J, Kushi LH, Lewis DA, Liu VX, Lydon CM, Miglioretti DL, Navarro DA, Pu A, Shen L, Sieh W, Yoon HC, and Lee C

Subjects
Female, Humans, Artificial Intelligence, Retrospective Studies, Cohort Studies, Mammography methods, Algorithms, Early Detection of Cancer methods, Breast Neoplasms diagnostic imaging, Breast Neoplasms epidemiology
Abstract

Background Although several clinical breast cancer risk models are used to guide screening and prevention, they have only moderate discrimination. Purpose To compare selected existing mammography artificial intelligence (AI) algorithms and the Breast Cancer Surveillance Consortium (BCSC) risk model for prediction of 5-year risk. Materials and Methods This retrospective case-cohort study included data in women with a negative screening mammographic examination (no visible evidence of cancer) in 2016, who were followed until 2021 at Kaiser Permanente Northern California. Women with prior breast cancer or a highly penetrant gene mutation were excluded. Of the 324 009 eligible women, a random subcohort was selected, regardless of cancer status, to which all additional patients with breast cancer were added. The index screening mammographic examination was used as input for five AI algorithms to generate continuous scores that were compared with the BCSC clinical risk score. Risk estimates for incident breast cancer 0 to 5 years after the initial mammographic examination were calculated using a time-dependent area under the receiver operating characteristic curve (AUC). Results The subcohort included 13 628 patients, of whom 193 had incident cancer. Incident cancers in eligible patients (additional 4391 of 324 009) were also included. For incident cancers at 0 to 5 years, the time-dependent AUC for BCSC was 0.61 (95% CI: 0.60, 0.62). AI algorithms had higher time-dependent AUCs than did BCSC, ranging from 0.63 to 0.67 (Bonferroni-adjusted P < .0016). Time-dependent AUCs for combined BCSC and AI models were slightly higher than AI alone (AI with BCSC time-dependent AUC range, 0.66-0.68; Bonferroni-adjusted P < .0016). Conclusion When using a negative screening examination, AI algorithms performed better than the BCSC risk model for predicting breast cancer risk at 0 to 5 years. Combined AI and BCSC models further improved prediction. © RSNA, 2023 Supplemental material is available for this article .

Published
2023
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50. Ovarian cancer pathology characteristics as predictors of variant pathogenicity in BRCA1 and BRCA2.

Author

O'Mahony DG, Ramus SJ, Southey MC, Meagher NS, Hadjisavvas A, John EM, Hamann U, Imyanitov EN, Andrulis IL, Sharma P, Daly MB, Hake CR, Weitzel JN, Jakubowska A, Godwin AK, Arason A, Bane A, Simard J, Soucy P, Caligo MA, Mai PL, Claes KBM, Teixeira MR, Chung WK, Lazaro C, Hulick PJ, Toland AE, Pedersen IS, Neuhausen SL, Vega A, de la Hoya M, Nevanlinna H, Dhawan M, Zampiga V, Danesi R, Varesco L, Gismondi V, Vellone VG, James PA, Janavicius R, Nikitina-Zake L, Nielsen FC, van Overeem Hansen T, Pejovic T, Borg A, Rantala J, Offit K, Montagna M, Nathanson KL, Domchek SM, Osorio A, García MJ, Karlan BY, De Fazio A, Bowtell D, McGuffog L, Leslie G, Parsons MT, Dörk T, Speith LM, Dos Santos ES, da Costa AABA, Radice P, Peterlongo P, Papi L, Engel C, Hahnen E, Schmutzler RK, Wappenschmidt B, Easton DF, Tischkowitz M, Singer CF, Tan YY, Whittemore AS, Sieh W, Brenton JD, Yannoukakos D, Fostira F, Konstantopoulou I, Soukupova J, Vocka M, Chenevix-Trench G, Pharoah PDP, Antoniou AC, Goldgar DE, Spurdle AB, and Michailidou K

Subjects
Humans, Female, Virulence, BRCA1 Protein genetics, BRCA2 Protein genetics, Genetic Predisposition to Disease, Ovarian Neoplasms genetics, Breast Neoplasms
Abstract

Background: The distribution of ovarian tumour characteristics differs between germline BRCA1 and BRCA2 pathogenic variant carriers and non-carriers. In this study, we assessed the utility of ovarian tumour characteristics as predictors of BRCA1 and BRCA2 variant pathogenicity, for application using the American College of Medical Genetics and the Association for Molecular Pathology (ACMG/AMP) variant classification system., Methods: Data for 10,373 ovarian cancer cases, including carriers and non-carriers of BRCA1 or BRCA2 pathogenic variants, were collected from unpublished international cohorts and consortia and published studies. Likelihood ratios (LR) were calculated for the association of ovarian cancer histology and other characteristics, with BRCA1 and BRCA2 variant pathogenicity. Estimates were aligned to ACMG/AMP code strengths (supporting, moderate, strong)., Results: No histological subtype provided informative ACMG/AMP evidence in favour of BRCA1 and BRCA2 variant pathogenicity. Evidence against variant pathogenicity was estimated for the mucinous and clear cell histologies (supporting) and borderline cases (moderate). Refined associations are provided according to tumour grade, invasion and age at diagnosis., Conclusions: We provide detailed estimates for predicting BRCA1 and BRCA2 variant pathogenicity based on ovarian tumour characteristics. This evidence can be combined with other variant information under the ACMG/AMP classification system, to improve classification and carrier clinical management., (© 2023. The Author(s).)

Published
2023
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