126 results on '"Wik, E"'
Search Results
2. A novel age-related gene expression signature associates with proliferation and disease progression in breast cancer
- Author
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Ingebriktsen, L. M., Finne, K., Akslen, L. A., and Wik, E.
- Published
- 2022
- Full Text
- View/download PDF
3. Endometrial Carcinoma Recurrence Score (ECARS) validates to identify aggressive disease and associates with markers of epithelial–mesenchymal transition and PI3K alterations
- Author
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Wik, E., Trovik, J., Kusonmano, K., Birkeland, E., Raeder, M.B., Pashtan, I., Hoivik, E.A., Krakstad, C., Werner, H.M.J., Holst, F., Mjøs, S., Halle, M.K., Mannelqvist, M., Mauland, K.K., Oyan, A.M., Stefansson, I.M., Petersen, K., Simon, R., Cherniack, A.D., Meyerson, M., Kalland, K.H., Akslen, L.A., and Salvesen, H.B.
- Published
- 2014
- Full Text
- View/download PDF
4. 36P Young breast cancer biology explored by NanoString BC360 panel in a formalin-fixed paraffin-embedded cohort
- Author
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Ingebriktsen, L.M., primary, Svanøe, A.A., additional, Sæle, A.K.M., additional, Toska, K., additional, Kalvenes, M.B., additional, Davidsen, B., additional, Heie, A., additional, Knutsvik, G., additional, Stefansson, I.M., additional, Akslen, L.A., additional, and Wik, E., additional
- Published
- 2022
- Full Text
- View/download PDF
5. Integrated Genomic Profiling of Endometrial Carcinoma Associates Aggressive Tumors with Indicators of PI3 Kinase Activation
- Author
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Salvesen, H. B., Carter, S. L., Mannelqvist, M., Dutt, A., Getz, G., Stefansson, I. M., Raeder, M. B., Sos, M. L., Engelsen, I. B., Trovik, J., Wik, E., Greulich, H., Bø, T. H., Jonassen, I., Thomas, R. K., Zander, T., Garraway, L. A., Øyan, A. M., Sellers, W. R., Kalland, K. H., Meyerson, M., Akslen, L. A., Beroukhim, R., and Gray, Joe W.
- Published
- 2009
- Full Text
- View/download PDF
6. 18P Age-related breast cancer gene expression signature with strong prognostic value
- Author
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Ingebriktsen, L.M., primary, Wik, E., additional, and Akslen, L., additional
- Published
- 2021
- Full Text
- View/download PDF
7. The long-term prognosis of Guillain-Barré syndrome. Evaluation of prognostic factors including plasma exchange
- Author
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Vedeler, C. A., Wik, E., and Nyland, H.
- Published
- 1997
8. Risk of Ovarian Cancer and the NF-? B Pathway: Genetic Association with IL1A and TNFSF10
- Author
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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
- Full Text
- View/download PDF
9. MOLECULAR PROFILING OF CIRCULATING TUMOR CELLS LINKS PLASTICITY TO THE METASTATIC PROCESS IN ENDOMETRIAL CANCER
- Author
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Alonso Alconada, L., Krakstad, C., Trovik, J., Wik, E., Hapangama, D., Coenegrachts, L., Gil-Moreno, A., Colas, E., Dolcet, X., Nijman, H. W., Tjalling Bosse, Green, J. A., Romano, A., Reventos, J., Lopez-Lopez, R., Salvesen, H. B., Amant, F., Matias-Guiu, X., Moreno-Bueno, G., Abal, M., Targeted Gynaecologic Oncology (TARGON), and Translational Immunology Groningen (TRIGR)
- Published
- 2013
10. Risk of ovarian cancer and the NF-kappaB pathway: genetic association with IL1A and TNFSF10
- Author
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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, B., 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.H., Pike, M.C., Ramus, S.J., Wik, E., Cybulski, C., Lin, J., Sucheston, L., Edwards, R., McGuire, V., Lester, J., Bois, A. du, Lundvall, L., et al., 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, B., 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.H., Pike, M.C., Ramus, S.J., Wik, E., Cybulski, C., Lin, J., Sucheston, L., Edwards, R., McGuire, V., Lester, J., Bois, A. du, Lundvall, L., and et al.
- Abstract
Contains fulltext : 136742.pdf (publisher's version ) (Closed access), 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-1alpha (IL1A) is both regulated by and able to activate NF-kappaB, 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-kappaB 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 x 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.
- Published
- 2014
11. Genome-wide association study of subtype-specific epithelial ovarian cancer risk alleles using pooled DNA
- Author
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Earp, M.A., Kelemen, L.E., Magliocco, A.M., Swenerton, K.D., Chenevix-Trench, G., Lu, Y., Hein, A., Ekici, A.B., Beckmann, M.W., Fasching, P.A., Lambrechts, D., Despierre, E., Vergote, I., Lambrechts, S., Doherty, J.A., Rossing, M.A., Chang-Claude, J., Rudolph, A., Friel, G., Moysich, K.B., Odunsi, K., Sucheston-Campbell, L., Lurie, G., Goodman, M.T., Carney, M.E., Thompson, P.J., Runnebaum, I.B., Durst, M., Hillemanns, P., Dork, T., Antonenkova, N., Bogdanova, N., Leminen, A., Nevanlinna, H., Pelttari, L.M., Butzow, R., Bunker, C.H., Modugno, F., Edwards, R.P., Ness, R.B., Bois, A. du, Heitz, F., Schwaab, I., Harter, P., Karlan, B.Y., Walsh, C., Lester, J., Jensen, A., Kjaer, S.K., Hogdall, C.K., Hogdall, E., Lundvall, L., Sellers, T.A., Fridley, B.L., Goode, E.L., Cunningham, J.M., Vierkant, R.A., Giles, G.G., Baglietto, L., Severi, G., Southey, M.C., Liang, D., Wu, X., Lu, K., Hildebrandt, M.A.T., Levine, D.A., Bisogna, M., Schildkraut, J.M., Iversen, E.S., Weber, R.P., Berchuck, A., Cramer, D.W, Terry, K.L., Poole, E.M., Tworoger, S.S., Bandera, E.V., Chandran, U., Orlow, I., Olson, S.H., Wik, E., Salvesen, H.B., Bjorge, L., Halle, M.K., Altena, A.M. van, Aben, K.K.H., Kiemeney, B., Massuger, L.F.A.G., Pejovic, T., Bean, Y.T., Cybulski, C., Gronwald, J., Lubinski, J., Wentzensen, N., Brinton, L.A., Lissowska, J., Garcia-Closas, M., Dicks, E., et al., Earp, M.A., Kelemen, L.E., Magliocco, A.M., Swenerton, K.D., Chenevix-Trench, G., Lu, Y., Hein, A., Ekici, A.B., Beckmann, M.W., Fasching, P.A., Lambrechts, D., Despierre, E., Vergote, I., Lambrechts, S., Doherty, J.A., Rossing, M.A., Chang-Claude, J., Rudolph, A., Friel, G., Moysich, K.B., Odunsi, K., Sucheston-Campbell, L., Lurie, G., Goodman, M.T., Carney, M.E., Thompson, P.J., Runnebaum, I.B., Durst, M., Hillemanns, P., Dork, T., Antonenkova, N., Bogdanova, N., Leminen, A., Nevanlinna, H., Pelttari, L.M., Butzow, R., Bunker, C.H., Modugno, F., Edwards, R.P., Ness, R.B., Bois, A. du, Heitz, F., Schwaab, I., Harter, P., Karlan, B.Y., Walsh, C., Lester, J., Jensen, A., Kjaer, S.K., Hogdall, C.K., Hogdall, E., Lundvall, L., Sellers, T.A., Fridley, B.L., Goode, E.L., Cunningham, J.M., Vierkant, R.A., Giles, G.G., Baglietto, L., Severi, G., Southey, M.C., Liang, D., Wu, X., Lu, K., Hildebrandt, M.A.T., Levine, D.A., Bisogna, M., Schildkraut, J.M., Iversen, E.S., Weber, R.P., Berchuck, A., Cramer, D.W, Terry, K.L., Poole, E.M., Tworoger, S.S., Bandera, E.V., Chandran, U., Orlow, I., Olson, S.H., Wik, E., Salvesen, H.B., Bjorge, L., Halle, M.K., Altena, A.M. van, Aben, K.K.H., Kiemeney, B., Massuger, L.F.A.G., Pejovic, T., Bean, Y.T., Cybulski, C., Gronwald, J., Lubinski, J., Wentzensen, N., Brinton, L.A., Lissowska, J., Garcia-Closas, M., Dicks, E., and et al.
- Abstract
Contains fulltext : 138102.pdf (publisher's version ) (Closed access), Epithelial ovarian cancer (EOC) is a heterogeneous cancer with both genetic and environmental risk factors. Variants influencing the risk of developing the less-common EOC subtypes have not been fully investigated. We performed a genome-wide association study (GWAS) of EOC according to subtype by pooling genomic DNA from 545 cases and 398 controls of European descent, and testing for allelic associations. We evaluated for replication 188 variants from the GWAS [56 variants for mucinous, 55 for endometrioid and clear cell, 53 for low-malignant potential (LMP) serous, and 24 for invasive serous EOC], selected using pre-defined criteria. Genotypes from 13,188 cases and 23,164 controls of European descent were used to perform unconditional logistic regression under the log-additive genetic model; odds ratios (OR) and 95 % confidence intervals are reported. Nine variants tagging six loci were associated with subtype-specific EOC risk at P < 0.05, and had an OR that agreed in direction of effect with the GWAS results. Several of these variants are in or near genes with a biological rationale for conferring EOC risk, including ZFP36L1 and RAD51B for mucinous EOC (rs17106154, OR = 1.17, P = 0.029, n = 1,483 cases), GRB10 for endometrioid and clear cell EOC (rs2190503, P = 0.014, n = 2,903 cases), and C22orf26/BPIL2 for LMP serous EOC (rs9609538, OR = 0.86, P = 0.0043, n = 892 cases). In analyses that included the 75 GWAS samples, the association between rs9609538 (OR = 0.84, P = 0.0007) and LMP serous EOC risk remained statistically significant at P < 0.0012 adjusted for multiple testing. Replication in additional samples will be important to verify these results for the less-common EOC subtypes.
- Published
- 2014
12. Genome-wide association study of subtype-specific epithelial ovarian cancer risk alleles using pooled DNA
- Author
-
Earp, MA, Kelemen, LE, Magliocco, AM, Swenerton, KD, Chenevix-Trench, G, Lu, Y, Hein, A, Ekici, AB, Beckmann, MW, Fasching, PA, Lambrechts, D, Despierre, E, Vergote, I, Lambrechts, S, Doherty, JA, Rossing, MA, Chang-Claude, J, Rudolph, A, Friel, G, Moysich, KB, Odunsi, K, Sucheston-Campbell, L, Lurie, G, Goodman, MT, Carney, ME, Thompson, PJ, Runnebaum, IB, Duerst, M, Hillemanns, P, Doerk, T, Antonenkova, N, Bogdanova, N, Leminen, A, Nevanlinna, H, Pelttari, LM, Butzow, R, Bunker, CH, Modugno, F, Edwards, RP, Ness, RB, du Bois, A, Heitz, F, Schwaab, I, Harter, P, Karlan, BY, Walsh, C, Lester, J, Jensen, A, Kjaer, SK, Hogdall, CK, Hogdall, E, Lundvall, L, Sellers, TA, Fridley, BL, Goode, EL, Cunningham, JM, Vierkant, RA, Giles, GG, Baglietto, L, Severi, G, Southey, MC, Liang, D, Wu, X, Lu, K, Hildebrandt, MAT, Levine, DA, Bisogna, M, Schildkraut, JM, Iversen, ES, Weber, RP, Berchuck, A, Cramer, DW, Terry, KL, Poole, EM, Tworoger, SS, Bandera, EV, Chandran, U, Orlow, I, Olson, SH, Wik, E, Salvesen, HB, Bjorge, L, Halle, MK, van Altena, AM, Aben, KKH, Kiemeney, LA, Massuger, LFAG, Pejovic, T, Bean, YT, Cybulski, C, Gronwald, J, Lubinski, J, Wentzensen, N, Brinton, LA, Lissowska, J, Garcia-Closas, M, Dicks, E, Dennis, J, Easton, DF, Song, H, Tyrer, JP, Pharoah, PDP, Eccles, D, Campbell, IG, Whittemore, AS, McGuire, V, Sieh, W, Rothstein, JH, Flanagan, JM, Paul, J, Brown, R, Phelan, CM, Risch, HA, McLaughlin, JR, Narod, SA, Ziogas, A, Anton-Culver, H, Gentry-Maharaj, A, Menon, U, Gayther, SA, Ramus, SJ, Wu, AH, Pearce, CL, Pike, MC, Dansonka-Mieszkowska, A, Rzepecka, IK, Szafron, LM, Kupryjanczyk, J, Cook, LS, Le, ND, Brooks-Wilson, A, Earp, MA, Kelemen, LE, Magliocco, AM, Swenerton, KD, Chenevix-Trench, G, Lu, Y, Hein, A, Ekici, AB, Beckmann, MW, Fasching, PA, Lambrechts, D, Despierre, E, Vergote, I, Lambrechts, S, Doherty, JA, Rossing, MA, Chang-Claude, J, Rudolph, A, Friel, G, Moysich, KB, Odunsi, K, Sucheston-Campbell, L, Lurie, G, Goodman, MT, Carney, ME, Thompson, PJ, Runnebaum, IB, Duerst, M, Hillemanns, P, Doerk, T, Antonenkova, N, Bogdanova, N, Leminen, A, Nevanlinna, H, Pelttari, LM, Butzow, R, Bunker, CH, Modugno, F, Edwards, RP, Ness, RB, du Bois, A, Heitz, F, Schwaab, I, Harter, P, Karlan, BY, Walsh, C, Lester, J, Jensen, A, Kjaer, SK, Hogdall, CK, Hogdall, E, Lundvall, L, Sellers, TA, Fridley, BL, Goode, EL, Cunningham, JM, Vierkant, RA, Giles, GG, Baglietto, L, Severi, G, Southey, MC, Liang, D, Wu, X, Lu, K, Hildebrandt, MAT, Levine, DA, Bisogna, M, Schildkraut, JM, Iversen, ES, Weber, RP, Berchuck, A, Cramer, DW, Terry, KL, Poole, EM, Tworoger, SS, Bandera, EV, Chandran, U, Orlow, I, Olson, SH, Wik, E, Salvesen, HB, Bjorge, L, Halle, MK, van Altena, AM, Aben, KKH, Kiemeney, LA, Massuger, LFAG, Pejovic, T, Bean, YT, Cybulski, C, Gronwald, J, Lubinski, J, Wentzensen, N, Brinton, LA, Lissowska, J, Garcia-Closas, M, Dicks, E, Dennis, J, Easton, DF, Song, H, Tyrer, JP, Pharoah, PDP, Eccles, D, Campbell, IG, Whittemore, AS, McGuire, V, Sieh, W, Rothstein, JH, Flanagan, JM, Paul, J, Brown, R, Phelan, CM, Risch, HA, McLaughlin, JR, Narod, SA, Ziogas, A, Anton-Culver, H, Gentry-Maharaj, A, Menon, U, Gayther, SA, Ramus, SJ, Wu, AH, Pearce, CL, Pike, MC, Dansonka-Mieszkowska, A, Rzepecka, IK, Szafron, LM, Kupryjanczyk, J, Cook, LS, Le, ND, and Brooks-Wilson, A
- Abstract
Epithelial ovarian cancer (EOC) is a heterogeneous cancer with both genetic and environmental risk factors. Variants influencing the risk of developing the less-common EOC subtypes have not been fully investigated. We performed a genome-wide association study (GWAS) of EOC according to subtype by pooling genomic DNA from 545 cases and 398 controls of European descent, and testing for allelic associations. We evaluated for replication 188 variants from the GWAS [56 variants for mucinous, 55 for endometrioid and clear cell, 53 for low-malignant potential (LMP) serous, and 24 for invasive serous EOC], selected using pre-defined criteria. Genotypes from 13,188 cases and 23,164 controls of European descent were used to perform unconditional logistic regression under the log-additive genetic model; odds ratios (OR) and 95 % confidence intervals are reported. Nine variants tagging six loci were associated with subtype-specific EOC risk at P < 0.05, and had an OR that agreed in direction of effect with the GWAS results. Several of these variants are in or near genes with a biological rationale for conferring EOC risk, including ZFP36L1 and RAD51B for mucinous EOC (rs17106154, OR = 1.17, P = 0.029, n = 1,483 cases), GRB10 for endometrioid and clear cell EOC (rs2190503, P = 0.014, n = 2,903 cases), and C22orf26/BPIL2 for LMP serous EOC (rs9609538, OR = 0.86, P = 0.0043, n = 892 cases). In analyses that included the 75 GWAS samples, the association between rs9609538 (OR = 0.84, P = 0.0007) and LMP serous EOC risk remained statistically significant at P < 0.0012 adjusted for multiple testing. Replication in additional samples will be important to verify these results for the less-common EOC subtypes.
- Published
- 2014
13. Epigenetic analysis leads to identification of HNF1B as a subtype-specific susceptibility gene for ovarian cancer
- Author
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Shen, H., Fridley, B.L., Song, H., Lawrenson, K., Cunningham, J.M., Ramus, S.J., Cicek, M.S., Tyrer, J., Stram, D., Larson, M.C., Kobel, M., Ziogas, A., Zheng, W., Yang, H.P., Wu, A.H., Wozniak, E.L., Ling Woo, Y., Winterhoff, B., Wik, E., Whittemore, A.S., Wentzensen, N., Palmieri Weber, R., Vitonis, A.F., Vincent, D., Vierkant, R.A., Vergote, I., Berg, D.P.G. van den, Altena, A.M. van, Tworoger, S.S., Thompson, P.J., Tessier, D.C., Terry, K.L., Teo, S.H., Templeman, C., Stram, D.O., Southey, M.C., Sieh, W., Siddiqui, N., Shvetsov, Y.B., Shu, X.O., Shridhar, V., Wang-Gohrke, S., Severi, G., Schwaab, I., Salvesen, H.B., Rzepecka, I.K., Runnebaum, I.B., Rossing, M.A., Rodriguez-Rodriguez, L., Risch, H.A., Renner, S.P., Poole, E.M., Pike, M.C., Phelan, C.M., Pelttari, L.M., Pejovic, T., Paul, J., Orlow, I., Zawiah Omar, S., Olson, S.H., Odunsi, K., Nickels, S., Nevanlinna, H., Ness, R.B., Narod, S.A., Nakanishi, T., Moysich, K.B., Monteiro, A.N., Moes-Sosnowska, J., Modugno, F., Menon, U., McLaughlin, J.R., McGuire, V., Matsuo, K., Mat Adenan, N.A., Massuger, L.F.A.G., Lurie, G., Lundvall, L., Lubinski, J., Lissowska, J., Levine, D.A., Leminen, A., Lee, A.W., Le, N.D., Lambrechts, S., Lambrechts, D., Kupryjanczyk, J., Krakstad, C., Konecny, G.E., Kruger Kjaer, S., Kiemeney, L.A.L.M., Kelemen, L.E., Keeney, G.L., Karlan, B.Y., Karevan, R., Kalli, K.R., Kajiyama, H., Ji, B.T., Jensen, A., Jakubowska, A., Iversen, E., Hosono, S., Hogdall, C.K., Hogdall, E., Hoatlin, M., Hillemans, P., Heitz, F., Hein, R., Harter, P., Halle, M.K., Hall, P., Gronwald, J., Gore, M., Goodman, M.T., Giles, G.G., Gentry-Maharaj, A., Garcia-Closas, M., Flanagan, J.M., Fasching, P.A., Ekici, A.B., Edwards, R., Eccles, D., Easton, D.F., Durst, M., Bois, A. du, Dork, T., Doherty, J.A., Despierre, E., Dansonka-Mieszkowska, A., Cybulski, C., Cramer, D.W, Cook, L.S., Chen, X., Charbonneau, B., Chang-Claude, J., Campbell, I., Butzow, R., Bunker, C.H., Brueggmann, D., Brown, R., Brooks-Wilson, A., Brinton, L.A., Bogdanova, N., Block, M.S., Benjamin, E., Beesley, J., Beckmann, M.W., Bandera, E.V., Baglietto, L., Bacot, F., Armasu, S.M., Antonenkova, N., Anton-Culver, H., Aben, K.K.H., Liang, D., et al., Shen, H., Fridley, B.L., Song, H., Lawrenson, K., Cunningham, J.M., Ramus, S.J., Cicek, M.S., Tyrer, J., Stram, D., Larson, M.C., Kobel, M., Ziogas, A., Zheng, W., Yang, H.P., Wu, A.H., Wozniak, E.L., Ling Woo, Y., Winterhoff, B., Wik, E., Whittemore, A.S., Wentzensen, N., Palmieri Weber, R., Vitonis, A.F., Vincent, D., Vierkant, R.A., Vergote, I., Berg, D.P.G. van den, Altena, A.M. van, Tworoger, S.S., Thompson, P.J., Tessier, D.C., Terry, K.L., Teo, S.H., Templeman, C., Stram, D.O., Southey, M.C., Sieh, W., Siddiqui, N., Shvetsov, Y.B., Shu, X.O., Shridhar, V., Wang-Gohrke, S., Severi, G., Schwaab, I., Salvesen, H.B., Rzepecka, I.K., Runnebaum, I.B., Rossing, M.A., Rodriguez-Rodriguez, L., Risch, H.A., Renner, S.P., Poole, E.M., Pike, M.C., Phelan, C.M., Pelttari, L.M., Pejovic, T., Paul, J., Orlow, I., Zawiah Omar, S., Olson, S.H., Odunsi, K., Nickels, S., Nevanlinna, H., Ness, R.B., Narod, S.A., Nakanishi, T., Moysich, K.B., Monteiro, A.N., Moes-Sosnowska, J., Modugno, F., Menon, U., McLaughlin, J.R., McGuire, V., Matsuo, K., Mat Adenan, N.A., Massuger, L.F.A.G., Lurie, G., Lundvall, L., Lubinski, J., Lissowska, J., Levine, D.A., Leminen, A., Lee, A.W., Le, N.D., Lambrechts, S., Lambrechts, D., Kupryjanczyk, J., Krakstad, C., Konecny, G.E., Kruger Kjaer, S., Kiemeney, L.A.L.M., Kelemen, L.E., Keeney, G.L., Karlan, B.Y., Karevan, R., Kalli, K.R., Kajiyama, H., Ji, B.T., Jensen, A., Jakubowska, A., Iversen, E., Hosono, S., Hogdall, C.K., Hogdall, E., Hoatlin, M., Hillemans, P., Heitz, F., Hein, R., Harter, P., Halle, M.K., Hall, P., Gronwald, J., Gore, M., Goodman, M.T., Giles, G.G., Gentry-Maharaj, A., Garcia-Closas, M., Flanagan, J.M., Fasching, P.A., Ekici, A.B., Edwards, R., Eccles, D., Easton, D.F., Durst, M., Bois, A. du, Dork, T., Doherty, J.A., Despierre, E., Dansonka-Mieszkowska, A., Cybulski, C., Cramer, D.W, Cook, L.S., Chen, X., Charbonneau, B., Chang-Claude, J., Campbell, I., Butzow, R., Bunker, C.H., Brueggmann, D., Brown, R., Brooks-Wilson, A., Brinton, L.A., Bogdanova, N., Block, M.S., Benjamin, E., Beesley, J., Beckmann, M.W., Bandera, E.V., Baglietto, L., Bacot, F., Armasu, S.M., Antonenkova, N., Anton-Culver, H., Aben, K.K.H., Liang, D., and et al.
- Abstract
Contains fulltext : 118378.pdf (publisher's version ) (Open Access), HNF1B is overexpressed in clear cell epithelial ovarian cancer, and we observed epigenetic silencing in serous epithelial ovarian cancer, leading us to hypothesize that variation in this gene differentially associates with epithelial ovarian cancer risk according to histological subtype. Here we comprehensively map variation in HNF1B with respect to epithelial ovarian cancer risk and analyse DNA methylation and expression profiles across histological subtypes. Different single-nucleotide polymorphisms associate with invasive serous (rs7405776 odds ratio (OR)=1.13, P=3.1 x 10(-10)) and clear cell (rs11651755 OR=0.77, P=1.6 x 10(-8)) epithelial ovarian cancer. Risk alleles for the serous subtype associate with higher HNF1B-promoter methylation in these tumours. Unmethylated, expressed HNF1B, primarily present in clear cell tumours, coincides with a CpG island methylator phenotype affecting numerous other promoters throughout the genome. Different variants in HNF1B associate with risk of serous and clear cell epithelial ovarian cancer; DNA methylation and expression patterns are also notably distinct between these subtypes. These findings underscore distinct mechanisms driving different epithelial ovarian cancer histological subtypes.
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- 2013
14. Identification and molecular characterization of a new ovarian cancer susceptibility locus at 17q21.31
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Permuth-Wey, J, Lawrenson, K, Shen, HC, Velkova, A, Tyrer, JP, Chen, Z, Lin, H-Y, Chen, YA, Tsai, Y-Y, Qu, X, Ramus, SJ, Karevan, R, Lee, J, Lee, N, Larson, MC, Aben, KK, Anton-Culver, H, Antonenkova, N, Antoniou, AC, Armasu, SM, Bacot, F, Baglietto, L, Bandera, EV, Barnholtz-Sloan, J, Beckmann, MW, Birrer, MJ, Bloom, G, Bogdanova, N, Brinton, LA, Brooks-Wilson, A, Brown, R, Butzow, R, Cai, Q, Campbell, I, Chang-Claude, J, Chanock, S, Chenevix-Trench, G, Cheng, JQ, Cicek, MS, Coetzee, GA, Cook, LS, Couch, FJ, Cramer, DW, Cunningham, JM, Dansonka-Mieszkowska, A, Despierre, E, Doherty, JA, Doerk, T, du Bois, A, Duerst, M, Easton, DF, Eccles, D, Edwards, R, Ekici, AB, Fasching, PA, Fenstermacher, DA, Flanagan, JM, Garcia-Closas, M, Gentry-Maharaj, A, Giles, GG, Glasspool, RM, Gonzalez-Bosquet, J, Goodman, MT, Gore, M, Gorski, B, Gronwald, J, Hall, P, Halle, MK, Harter, P, Heitz, F, Hillemanns, P, Hoatlin, M, Hogdall, CK, Hogdall, E, Hosono, S, Jakubowska, A, Jensen, A, Jim, H, Kalli, KR, Karlan, BY, Kaye, SB, Kelemen, LE, Kiemeney, LA, Kikkawa, F, Konecny, GE, Krakstad, C, Kjaer, SK, Kupryjanczyk, J, Lambrechts, D, Lambrechts, S, Lancaster, JM, Le, ND, Leminen, A, Levine, DA, Liang, D, Lim, BK, Lin, J, Lissowska, J, Lu, KH, Lubinski, J, Lurie, G, Massuger, LFAG, Matsuo, K, McGuire, V, McLaughlin, JR, Menon, U, Modugno, F, Moysich, KB, Nakanishi, T, Narod, SA, Nedergaard, L, Ness, RB, Nevanlinna, H, Nickels, S, Noushmehr, H, Odunsi, K, Olson, SH, Orlow, I, Paul, J, Pearce, CL, Pejovic, T, Pelttari, LM, Pike, MC, Poole, EM, Raska, P, Renner, SP, Risch, HA, Rodriguez-Rodriguez, L, Rossing, MA, Rudolph, A, Runnebaum, IB, Rzepecka, IK, Salvesen, HB, Schwaab, I, Severi, G, Shridhar, V, Shu, X-O, Shvetsov, YB, Sieh, W, Song, H, Southey, MC, Spiewankiewicz, B, Stram, D, Sutphen, R, Teo, S-H, Terry, KL, Tessier, DC, Thompson, PJ, Tworoger, SS, van Altena, AM, Vergote, I, Vierkant, RA, Vincent, D, Vitonis, AF, Wang-Gohrke, S, Weber, RP, Wentzensen, N, Whittemore, AS, Wik, E, Wilkens, LR, Winterhoff, B, Woo, YL, Wu, AH, Xiang, Y-B, Yang, HP, Zheng, W, Ziogas, A, Zulkifli, F, Phelan, CM, Iversen, E, Schildkraut, JM, Berchuck, A, Fridley, BL, Goode, EL, Pharoah, PDP, Monteiro, ANA, Sellers, TA, Gayther, SA, Permuth-Wey, J, Lawrenson, K, Shen, HC, Velkova, A, Tyrer, JP, Chen, Z, Lin, H-Y, Chen, YA, Tsai, Y-Y, Qu, X, Ramus, SJ, Karevan, R, Lee, J, Lee, N, Larson, MC, Aben, KK, Anton-Culver, H, Antonenkova, N, Antoniou, AC, Armasu, SM, Bacot, F, Baglietto, L, Bandera, EV, Barnholtz-Sloan, J, Beckmann, MW, Birrer, MJ, Bloom, G, Bogdanova, N, Brinton, LA, Brooks-Wilson, A, Brown, R, Butzow, R, Cai, Q, Campbell, I, Chang-Claude, J, Chanock, S, Chenevix-Trench, G, Cheng, JQ, Cicek, MS, Coetzee, GA, Cook, LS, Couch, FJ, Cramer, DW, Cunningham, JM, Dansonka-Mieszkowska, A, Despierre, E, Doherty, JA, Doerk, T, du Bois, A, Duerst, M, Easton, DF, Eccles, D, Edwards, R, Ekici, AB, Fasching, PA, Fenstermacher, DA, Flanagan, JM, Garcia-Closas, M, Gentry-Maharaj, A, Giles, GG, Glasspool, RM, Gonzalez-Bosquet, J, Goodman, MT, Gore, M, Gorski, B, Gronwald, J, Hall, P, Halle, MK, Harter, P, Heitz, F, Hillemanns, P, Hoatlin, M, Hogdall, CK, Hogdall, E, Hosono, S, Jakubowska, A, Jensen, A, Jim, H, Kalli, KR, Karlan, BY, Kaye, SB, Kelemen, LE, Kiemeney, LA, Kikkawa, F, Konecny, GE, Krakstad, C, Kjaer, SK, Kupryjanczyk, J, Lambrechts, D, Lambrechts, S, Lancaster, JM, Le, ND, Leminen, A, Levine, DA, Liang, D, Lim, BK, Lin, J, Lissowska, J, Lu, KH, Lubinski, J, Lurie, G, Massuger, LFAG, Matsuo, K, McGuire, V, McLaughlin, JR, Menon, U, Modugno, F, Moysich, KB, Nakanishi, T, Narod, SA, Nedergaard, L, Ness, RB, Nevanlinna, H, Nickels, S, Noushmehr, H, Odunsi, K, Olson, SH, Orlow, I, Paul, J, Pearce, CL, Pejovic, T, Pelttari, LM, Pike, MC, Poole, EM, Raska, P, Renner, SP, Risch, HA, Rodriguez-Rodriguez, L, Rossing, MA, Rudolph, A, Runnebaum, IB, Rzepecka, IK, Salvesen, HB, Schwaab, I, Severi, G, Shridhar, V, Shu, X-O, Shvetsov, YB, Sieh, W, Song, H, Southey, MC, Spiewankiewicz, B, Stram, D, Sutphen, R, Teo, S-H, Terry, KL, Tessier, DC, Thompson, PJ, Tworoger, SS, van Altena, AM, Vergote, I, Vierkant, RA, Vincent, D, Vitonis, AF, Wang-Gohrke, S, Weber, RP, Wentzensen, N, Whittemore, AS, Wik, E, Wilkens, LR, Winterhoff, B, Woo, YL, Wu, AH, Xiang, Y-B, Yang, HP, Zheng, W, Ziogas, A, Zulkifli, F, Phelan, CM, Iversen, E, Schildkraut, JM, Berchuck, A, Fridley, BL, Goode, EL, Pharoah, PDP, Monteiro, ANA, Sellers, TA, and Gayther, SA
- Abstract
Epithelial ovarian cancer (EOC) has a heritable component that remains to be fully characterized. Most identified common susceptibility variants lie in non-protein-coding sequences. We hypothesized that variants in the 3' untranslated region at putative microRNA (miRNA)-binding sites represent functional targets that influence EOC susceptibility. Here, we evaluate the association between 767 miRNA-related single-nucleotide polymorphisms (miRSNPs) and EOC risk in 18,174 EOC cases and 26,134 controls from 43 studies genotyped through the Collaborative Oncological Gene-environment Study. We identify several miRSNPs associated with invasive serous EOC risk (odds ratio=1.12, P=10(-8)) mapping to an inversion polymorphism at 17q21.31. Additional genotyping of non-miRSNPs at 17q21.31 reveals stronger signals outside the inversion (P=10(-10)). Variation at 17q21.31 is associated with neurological diseases, and our collaboration is the first to report an association with EOC susceptibility. An integrated molecular analysis in this region provides evidence for ARHGAP27 and PLEKHM1 as candidate EOC susceptibility genes.
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- 2013
15. GWAS meta-analysis and replication identifies three new susceptibility loci for ovarian cancer
- Author
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Pharoah, PDP, Tsai, Y-Y, Ramus, SJ, Phelan, CM, Goode, EL, Lawrenson, K, Buckley, M, Fridley, BL, Tyrer, JP, Shen, H, Weber, R, Karevan, R, Larson, MC, Song, H, Tessier, DC, Bacot, F, Vincent, D, Cunningham, JM, Dennis, J, Dicks, E, Aben, KK, Anton-Culver, H, Antonenkova, N, Armasu, SM, Baglietto, L, Bandera, EV, Beckmann, MW, Birrer, MJ, Bloom, G, Bogdanova, N, Brenton, JD, Brinton, LA, Brooks-Wilson, A, Brown, R, Butzow, R, Campbell, I, Carney, ME, Carvalho, RS, Chang-Claude, J, Chen, YA, Chen, Z, Chow, W-H, Cicek, MS, Coetzee, G, Cook, LS, Cramer, DW, Cybulski, C, Dansonka-Mieszkowska, A, Despierre, E, Doherty, JA, Doerk, T, du Bois, A, Duerst, M, Eccles, D, Edwards, R, Ekici, AB, Fasching, PA, Fenstermacher, D, Flanagan, J, Gao, Y-T, Garcia-Closas, M, Gentry-Maharaj, A, Giles, G, Gjyshi, A, Gore, M, Gronwald, J, Guo, Q, Halle, MK, Harter, P, Hein, A, Heitz, F, Hillemanns, P, Hoatlin, M, Hogdall, E, Hogdall, CK, Hosono, S, Jakubowska, A, Jensen, A, Kalli, KR, Karlan, BY, Kelemen, LE, Kiemeney, LA, Kjaer, SK, Konecny, GE, Krakstad, C, Kupryjanczyk, J, Lambrechts, D, Lambrechts, S, Le, ND, Lee, N, Lee, J, Leminen, A, Lim, BK, Lissowska, J, Lubinski, J, Lundvall, L, Lurie, G, Massuger, LFAG, Matsuo, K, McGuire, V, McLaughlin, JR, Menon, U, Modugno, F, Moysich, KB, Nakanishi, T, Narod, SA, Ness, RB, Nevanlinna, H, Nickels, S, Noushmehr, H, Odunsi, K, Olson, S, Orlow, I, Paul, J, Pejovic, T, Pelttari, LM, Permuth-Wey, J, Pike, MC, Poole, EM, Qu, X, Risch, HA, Rodriguez-Rodriguez, L, Rossing, MA, Rudolph, A, Runnebaum, I, Rzepecka, IK, Salvesen, HB, Schwaab, I, Severi, G, Shridhar, V, Shu, X-O, Sieh, W, Southey, MC, Spellman, P, Tajima, K, Teo, S-H, Terry, KL, Thompson, PJ, Timorek, A, Tworoger, SS, van Altena, AM, van den Berg, D, Vergote, I, Vierkant, RA, Vitonis, AF, Wang-Gohrke, S, Wentzensen, N, Whittemore, AS, Wik, E, Winterhoff, B, Woo, YL, Wu, AH, Yang, HP, Zheng, W, Ziogas, A, Zulkifli, F, Goodman, MT, Hall, P, Easton, DF, Pearce, CL, Berchuck, A, Chenevix-Trench, G, Iversen, E, Monteiro, ANA, Gayther, SA, Schildkraut, JM, Sellers, TA, Pharoah, PDP, Tsai, Y-Y, Ramus, SJ, Phelan, CM, Goode, EL, Lawrenson, K, Buckley, M, Fridley, BL, Tyrer, JP, Shen, H, Weber, R, Karevan, R, Larson, MC, Song, H, Tessier, DC, Bacot, F, Vincent, D, Cunningham, JM, Dennis, J, Dicks, E, Aben, KK, Anton-Culver, H, Antonenkova, N, Armasu, SM, Baglietto, L, Bandera, EV, Beckmann, MW, Birrer, MJ, Bloom, G, Bogdanova, N, Brenton, JD, Brinton, LA, Brooks-Wilson, A, Brown, R, Butzow, R, Campbell, I, Carney, ME, Carvalho, RS, Chang-Claude, J, Chen, YA, Chen, Z, Chow, W-H, Cicek, MS, Coetzee, G, Cook, LS, Cramer, DW, Cybulski, C, Dansonka-Mieszkowska, A, Despierre, E, Doherty, JA, Doerk, T, du Bois, A, Duerst, M, Eccles, D, Edwards, R, Ekici, AB, Fasching, PA, Fenstermacher, D, Flanagan, J, Gao, Y-T, Garcia-Closas, M, Gentry-Maharaj, A, Giles, G, Gjyshi, A, Gore, M, Gronwald, J, Guo, Q, Halle, MK, Harter, P, Hein, A, Heitz, F, Hillemanns, P, Hoatlin, M, Hogdall, E, Hogdall, CK, Hosono, S, Jakubowska, A, Jensen, A, Kalli, KR, Karlan, BY, Kelemen, LE, Kiemeney, LA, Kjaer, SK, Konecny, GE, Krakstad, C, Kupryjanczyk, J, Lambrechts, D, Lambrechts, S, Le, ND, Lee, N, Lee, J, Leminen, A, Lim, BK, Lissowska, J, Lubinski, J, Lundvall, L, Lurie, G, Massuger, LFAG, Matsuo, K, McGuire, V, McLaughlin, JR, Menon, U, Modugno, F, Moysich, KB, Nakanishi, T, Narod, SA, Ness, RB, Nevanlinna, H, Nickels, S, Noushmehr, H, Odunsi, K, Olson, S, Orlow, I, Paul, J, Pejovic, T, Pelttari, LM, Permuth-Wey, J, Pike, MC, Poole, EM, Qu, X, Risch, HA, Rodriguez-Rodriguez, L, Rossing, MA, Rudolph, A, Runnebaum, I, Rzepecka, IK, Salvesen, HB, Schwaab, I, Severi, G, Shridhar, V, Shu, X-O, Sieh, W, Southey, MC, Spellman, P, Tajima, K, Teo, S-H, Terry, KL, Thompson, PJ, Timorek, A, Tworoger, SS, van Altena, AM, van den Berg, D, Vergote, I, Vierkant, RA, Vitonis, AF, Wang-Gohrke, S, Wentzensen, N, Whittemore, AS, Wik, E, Winterhoff, B, Woo, YL, Wu, AH, Yang, HP, Zheng, W, Ziogas, A, Zulkifli, F, Goodman, MT, Hall, P, Easton, DF, Pearce, CL, Berchuck, A, Chenevix-Trench, G, Iversen, E, Monteiro, ANA, Gayther, SA, Schildkraut, JM, and Sellers, TA
- Abstract
Genome-wide association studies (GWAS) have identified four susceptibility loci for epithelial ovarian cancer (EOC), with another two suggestive loci reaching near genome-wide significance. We pooled data from a GWAS conducted in North America with another GWAS from the UK. We selected the top 24,551 SNPs for inclusion on the iCOGS custom genotyping array. We performed follow-up genotyping in 18,174 individuals with EOC (cases) and 26,134 controls from 43 studies from the Ovarian Cancer Association Consortium. We validated the two loci at 3q25 and 17q21 that were previously found to have associations close to genome-wide significance and identified three loci newly associated with risk: two loci associated with all EOC subtypes at 8q21 (rs11782652, P = 5.5 × 10(-9)) and 10p12 (rs1243180, P = 1.8 × 10(-8)) and another locus specific to the serous subtype at 17q12 (rs757210, P = 8.1 × 10(-10)). An integrated molecular analysis of genes and regulatory regions at these loci provided evidence for functional mechanisms underlying susceptibility and implicated CHMP4C in the pathogenesis of ovarian cancer.
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- 2013
16. Epigenetic analysis leads to identification of HNF1B as a subtype-specific susceptibility gene for ovarian cancer
- Author
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Shen, H, Fridley, BL, Song, H, Lawrenson, K, Cunningham, JM, Ramus, SJ, Cicek, MS, Tyrer, J, Stram, D, Larson, MC, Koebel, M, Ziogas, A, Zheng, W, Yang, HP, Wu, AH, Wozniak, EL, Woo, YL, Winterhoff, B, Wik, E, Whittemore, AS, Wentzensen, N, Weber, RP, Vitonis, AF, Vincent, D, Vierkant, RA, Vergote, I, Van Den Berg, D, Van Altena, AM, Tworoger, SS, Thompson, PJ, Tessier, DC, Terry, KL, Teo, S-H, Templeman, C, Stram, DO, Southey, MC, Sieh, W, Siddiqui, N, Shvetsov, YB, Shu, X-O, Shridhar, V, Wang-Gohrke, S, Severi, G, Schwaab, I, Salvesen, HB, Rzepecka, IK, Runnebaum, IB, Rossing, MA, Rodriguez-Rodriguez, L, Risch, HA, Renner, SP, Poole, EM, Pike, MC, Phelan, CM, Pelttari, LM, Pejovic, T, Paul, J, Orlow, I, Omar, SZ, Olson, SH, Odunsi, K, Nickels, S, Nevanlinna, H, Ness, RB, Narod, SA, Nakanishi, T, Moysich, KB, Monteiro, ANA, Moes-Sosnowska, J, Modugno, F, Menon, U, McLaughlin, JR, McGuire, V, Matsuo, K, Adenan, NAM, Massuger, LFAG, Lurie, G, Lundvall, L, Lubinski, J, Lissowska, J, Levine, DA, Leminen, A, Lee, AW, Le, ND, Lambrechts, S, Lambrechts, D, Kupryjanczyk, J, Krakstad, C, Konecny, GE, Kjaer, SK, Kiemeney, LA, Kelemen, LE, Keeney, GL, Karlan, BY, Karevan, R, Kalli, KR, Kajiyama, H, Ji, B-T, Jensen, A, Jakubowska, A, Iversen, E, Hosono, S, Hogdall, CK, Hogdall, E, Hoatlin, M, Hillemanns, P, Heitz, F, Hein, R, Harter, P, Halle, MK, Hall, P, Gronwald, J, Gore, M, Goodman, MT, Giles, GG, Gentry-Maharaj, A, Garcia-Closas, M, Flanagan, JM, Fasching, PA, Ekici, AB, Edwards, R, Eccles, D, Easton, DF, Duerst, M, du Bois, A, Doerk, T, Doherty, JA, Despierre, E, Dansonka-Mieszkowska, A, Cybulski, C, Cramer, DW, Cook, LS, Chen, X, Charbonneau, B, Chang-Claude, J, Campbell, I, Butzow, R, Bunker, CH, Brueggmann, D, Brown, R, Brooks-Wilson, A, Brinton, LA, Bogdanova, N, Block, MS, Benjamin, E, Beesley, J, Beckmann, MW, Bandera, EV, Baglietto, L, Bacot, F, Armasu, SM, Antonenkova, N, Anton-Culver, H, Aben, KK, Liang, D, Wu, X, Lu, K, Hildebrandt, MAT, Schildkraut, JM, Sellers, TA, Huntsman, D, Berchuck, A, Chenevix-Trench, G, Gayther, SA, Pharoah, PDP, Laird, PW, Goode, EL, Pearce, CL, Shen, H, Fridley, BL, Song, H, Lawrenson, K, Cunningham, JM, Ramus, SJ, Cicek, MS, Tyrer, J, Stram, D, Larson, MC, Koebel, M, Ziogas, A, Zheng, W, Yang, HP, Wu, AH, Wozniak, EL, Woo, YL, Winterhoff, B, Wik, E, Whittemore, AS, Wentzensen, N, Weber, RP, Vitonis, AF, Vincent, D, Vierkant, RA, Vergote, I, Van Den Berg, D, Van Altena, AM, Tworoger, SS, Thompson, PJ, Tessier, DC, Terry, KL, Teo, S-H, Templeman, C, Stram, DO, Southey, MC, Sieh, W, Siddiqui, N, Shvetsov, YB, Shu, X-O, Shridhar, V, Wang-Gohrke, S, Severi, G, Schwaab, I, Salvesen, HB, Rzepecka, IK, Runnebaum, IB, Rossing, MA, Rodriguez-Rodriguez, L, Risch, HA, Renner, SP, Poole, EM, Pike, MC, Phelan, CM, Pelttari, LM, Pejovic, T, Paul, J, Orlow, I, Omar, SZ, Olson, SH, Odunsi, K, Nickels, S, Nevanlinna, H, Ness, RB, Narod, SA, Nakanishi, T, Moysich, KB, Monteiro, ANA, Moes-Sosnowska, J, Modugno, F, Menon, U, McLaughlin, JR, McGuire, V, Matsuo, K, Adenan, NAM, Massuger, LFAG, Lurie, G, Lundvall, L, Lubinski, J, Lissowska, J, Levine, DA, Leminen, A, Lee, AW, Le, ND, Lambrechts, S, Lambrechts, D, Kupryjanczyk, J, Krakstad, C, Konecny, GE, Kjaer, SK, Kiemeney, LA, Kelemen, LE, Keeney, GL, Karlan, BY, Karevan, R, Kalli, KR, Kajiyama, H, Ji, B-T, Jensen, A, Jakubowska, A, Iversen, E, Hosono, S, Hogdall, CK, Hogdall, E, Hoatlin, M, Hillemanns, P, Heitz, F, Hein, R, Harter, P, Halle, MK, Hall, P, Gronwald, J, Gore, M, Goodman, MT, Giles, GG, Gentry-Maharaj, A, Garcia-Closas, M, Flanagan, JM, Fasching, PA, Ekici, AB, Edwards, R, Eccles, D, Easton, DF, Duerst, M, du Bois, A, Doerk, T, Doherty, JA, Despierre, E, Dansonka-Mieszkowska, A, Cybulski, C, Cramer, DW, Cook, LS, Chen, X, Charbonneau, B, Chang-Claude, J, Campbell, I, Butzow, R, Bunker, CH, Brueggmann, D, Brown, R, Brooks-Wilson, A, Brinton, LA, Bogdanova, N, Block, MS, Benjamin, E, Beesley, J, Beckmann, MW, Bandera, EV, Baglietto, L, Bacot, F, Armasu, SM, Antonenkova, N, Anton-Culver, H, Aben, KK, Liang, D, Wu, X, Lu, K, Hildebrandt, MAT, Schildkraut, JM, Sellers, TA, Huntsman, D, Berchuck, A, Chenevix-Trench, G, Gayther, SA, Pharoah, PDP, Laird, PW, Goode, EL, and Pearce, CL
- Abstract
HNF1B is overexpressed in clear cell epithelial ovarian cancer, and we observed epigenetic silencing in serous epithelial ovarian cancer, leading us to hypothesize that variation in this gene differentially associates with epithelial ovarian cancer risk according to histological subtype. Here we comprehensively map variation in HNF1B with respect to epithelial ovarian cancer risk and analyse DNA methylation and expression profiles across histological subtypes. Different single-nucleotide polymorphisms associate with invasive serous (rs7405776 odds ratio (OR)=1.13, P=3.1 × 10(-10)) and clear cell (rs11651755 OR=0.77, P=1.6 × 10(-8)) epithelial ovarian cancer. Risk alleles for the serous subtype associate with higher HNF1B-promoter methylation in these tumours. Unmethylated, expressed HNF1B, primarily present in clear cell tumours, coincides with a CpG island methylator phenotype affecting numerous other promoters throughout the genome. Different variants in HNF1B associate with risk of serous and clear cell epithelial ovarian cancer; DNA methylation and expression patterns are also notably distinct between these subtypes. These findings underscore distinct mechanisms driving different epithelial ovarian cancer histological subtypes.
- Published
- 2013
17. Integrated genomic profiling of endometrial carcinoma associates aggressive tumors with indicators of PI3 kinase activation
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Broad Institute of MIT and Harvard, Harvard University--MIT Division of Health Sciences and Technology, Dutt, Amit, Beroukhim, Rameen, Meyerson, Matthew L., Garraway, Levi A., Greulich, Heidi, Getz, Gad, Carter, Scott L., Salvesen, H. B., Mannelqvist, M., Stefansson, I. M., Raeder, M. B., Sos, M. L., Engelsen, I. B., Trovik, J., Wik, E., Bo, T. H., Jonassen, I., Thomas, R. K., Zander, T., Oyan, A. M., Sellers, W. R., Kalland, K. H., Akslen, L. A., Broad Institute of MIT and Harvard, Harvard University--MIT Division of Health Sciences and Technology, Dutt, Amit, Beroukhim, Rameen, Meyerson, Matthew L., Garraway, Levi A., Greulich, Heidi, Getz, Gad, Carter, Scott L., Salvesen, H. B., Mannelqvist, M., Stefansson, I. M., Raeder, M. B., Sos, M. L., Engelsen, I. B., Trovik, J., Wik, E., Bo, T. H., Jonassen, I., Thomas, R. K., Zander, T., Oyan, A. M., Sellers, W. R., Kalland, K. H., and Akslen, L. A.
- Abstract
Although 75% of endometrial cancers are treated at an early stage, 15% to 20% of these recur. We performed an integrated analysis of genome-wide expression and copy-number data for primary endometrial carcinomas with extensive clinical and histopathological data to detect features predictive of recurrent disease. Unsupervised analysis of the expression data distinguished 2 major clusters with strikingly different phenotypes, including significant differences in disease-free survival. To identify possible mechanisms for these differences, we performed a global genomic survey of amplifications, deletions, and loss of heterozygosity, which identified 11 significantly amplified and 13 significantly deleted regions. Amplifications of 3q26.32 harboring the oncogene PIK3CA were associated with poor prognosis and segregated with the aggressive transcriptional cluster. Moreover, samples with PIK3CA amplification carried signatures associated with in vitro activation of PI3 kinase (PI3K), a signature that was shared by aggressive tumors without PIK3CA amplification. Tumors with loss of PTEN expression or PIK3CA overexpression that did not have PIK3CA amplification also shared the PI3K activation signature, high protein expression of the PI3K pathway member STMN1, and an aggressive phenotype in test and validation datasets. However, mutations of PTEN or PIK3CA were not associated with the same expression profile or aggressive phenotype. STMN1 expression had independent prognostic value. The results affirm the utility of systematic characterization of the cancer genome in clinically annotated specimens and suggest the particular importance of the PI3K pathway in patients who have aggressive endometrial cancer., Dana-Farber Harvard Cancer Center Prostate Specialized Program in Research Excellence, National Institutes of Health, Department of Defense, Research Council of Norway, Norwegian Cancer Society, University of Bergen, Helse Vest
- Published
- 2009
18. Loss of GPER identifies new targets for therapy among a subgroup of ERα-positive endometrial cancer patients with poor outcome.
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Krakstad C, Trovik J, Wik E, Engelsen IB, Werner HM, Birkeland E, Raeder MB, øyan AM, Stefansson IM, Kalland KH, Akslen LA, Salvesen HB, Krakstad, C, Trovik, J, Wik, E, Engelsen, I B, Werner, H M J, Birkeland, E, Raeder, M B, and Øyan, A M
- Abstract
Background: The G protein-coupled oestrogen receptor, GPER, has been suggested as an alternative oestrogen receptor. Our purpose was to investigate the potential of GPER as a prognostic and predictive marker in endometrial carcinoma and to search for new drug candidates to improve treatment of aggressive disease.Materials and Method: A total of 767 primary endometrial carcinomas derived from three patient series, including an external dataset, were studied for protein and mRNA expression levels to investigate and validate if GPER loss identifies poor prognosis and new targets for therapy in endometrial carcinoma. Gene expression levels, according to ERα/GPER status, were used to search the connectivity map database for small molecular inhibitors with potential for treatment of metastatic disease for receptor status subgroups.Results: Loss of GPER protein is significantly correlated with low GPER mRNA, high FIGO stage, non-endometrioid histology, high grade, aneuploidy and ERα loss (all P-values ≤0.05). Loss of GPER among ERα-positive patients identifies a subgroup with poor prognosis that until now has been unrecognised, with reduced 5-year survival from 93% to 76% (P=0.003). Additional loss of GPER from primary to metastatic lesion counterparts further supports that loss of GPER is associated with disease progression.Conclusion: These results support that GPER status adds clinically relevant information to ERα status in endometrial carcinoma and suggest a potential for new inhibitors in the treatment of metastatic endometrial cancers with ERα expression and GPER loss. [ABSTRACT FROM AUTHOR]- Published
- 2012
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19. KRAS gene amplification and overexpression but not mutation associates with aggressive and metastatic endometrial cancer
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Birkeland, E, primary, Wik, E, additional, Mjøs, S, additional, Hoivik, E A, additional, Trovik, J, additional, Werner, H M J, additional, Kusonmano, K, additional, Petersen, K, additional, Raeder, M B, additional, Holst, F, additional, Øyan, A M, additional, Kalland, K-H, additional, Akslen, L A, additional, Simon, R, additional, Krakstad, C, additional, and Salvesen, H B, additional
- Published
- 2012
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20. High BMI is significantly associated with positive progesterone receptor status and clinico-pathological markers for non-aggressive disease in endometrial cancer
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Mauland, K K, primary, Trovik, J, additional, Wik, E, additional, Raeder, M B, additional, Njølstad, T S, additional, Stefansson, I M, additional, Øyan, A M, additional, Kalland, K H, additional, Bjørge, T, additional, Akslen, L A, additional, and Salvesen, H B, additional
- Published
- 2011
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21. Time-dependent DFT study on electronic states of vanadium and molybdenum oxide molecules
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Broc&lz.xl, wik, E., and Borowski, T.
- Published
- 2001
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22. Molecular mechanism of C-H bond cleavage at transition metal oxide clusters
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Broc&lz.xl, wik, E., Haber, J., and Piskorz, W.
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- 2001
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23. Quantum chemical modeling (DFT) of active species on the V&z.sbnd;W&z.sbnd;O catalyst surface in various redox conditions
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Gora, A., Broc&lz.xl, wik, E., and Najbar, M.
- Published
- 2000
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24. Risk of Ovarian Cancer and the NF- B Pathway: Genetic Association with IL1A and TNFSF10
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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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25. Molecular profiling of endometrial carcinoma precursor, primary and metastatic lesions suggests different targets for treatment in obese compared to non-obese patients
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Berg A, Ea, Hoivik, Mjøs S, Frederik Holst, Hm, Werner, Il, Tangen, Taylor-Weiner A, Wj, Gibson, Kusonmano K, Wik E, Trovik J, Mk, Halle, Am, Øyan, Kh, Kalland, Ad, Cherniack, Beroukhim R, Stefansson I, Gb, Mills, Krakstad C, and Hb, Salvesen
26. Hypomethylation of the CTCFL/BORIS promoter and aberrant expression during endometrial cancer progression suggests a role as an Epi-driver gene
- Author
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Ea, Hoivik, Kusonmano K, Mari K Halle, Berg A, Wik E, Hm, Werner, Petersen K, Am, Oyan, Kh, Kalland, Krakstad C, Trovik J, Widschwendter M, and Hb, Salvesen
27. VEGFA gene variants are associated with breast cancer progression.
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Furriol J, Wik E, Aziz S, Askeland C, Knutsvik G, and Akslen LA
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- Humans, Female, Middle Aged, Neovascularization, Pathologic genetics, Neovascularization, Pathologic pathology, Biomarkers, Tumor genetics, Aged, Adult, Genotype, Genetic Predisposition to Disease, Breast Neoplasms genetics, Breast Neoplasms pathology, Vascular Endothelial Growth Factor A genetics, Polymorphism, Single Nucleotide, Disease Progression
- Abstract
Angiogenesis is recognized as a hallmark of cancer, and vascular endothelial growth factor (VEGF) is a key regulator of the angiogenic process and is related to cancer progression. Anti-VEGF therapy has been tried but with limited success and without useful stratification for angiogenesis markers. Further, the landscape of VEGF single nucleotide polymorphisms (SNPs) in breast cancer and their clinical relevance is not well studied, and their relation to tissue-based angiogenesis markers has not been explored. Here, we studied a selection of VEGFA SNPs in nontumor lymph nodes from a population-based breast cancer cohort (n = 544), and their relation to clinicopathologic variables, vascular tissue metrics, and breast cancer-specific survival. Two of the SNP candidates (rs833068GA genotype and rs25648CC genotype) showed associations with angiogenesis tissue markers, and the VEGFA rs833068GA genotype was associated with breast cancer-specific survival among ER-negative cases. We also found trends of association between the rs699947CA genotype and large tumor diameter and ER-negative tumors, and between the rs3025039CC genotype and large tumor diameter. Our findings indicate some associations between certain VEGF SNPs, in particular the rs833068GA genotype, and both vascular metrics and patient survival. These findings and their potential implications need to be validated by independent studies., (© 2024 The Author(s). The Journal of Pathology: Clinical Research published by The Pathological Society of Great Britain and Ireland and John Wiley & Sons Ltd.)
- Published
- 2024
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28. Antibody engagement with amyloid-beta does not inhibit [ 11 C]PiB binding for PET imaging.
- Author
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Xiong M, Dahlén A, Roshanbin S, Wik E, Aguilar X, Eriksson J, Sehlin D, and Syvänen S
- Subjects
- Animals, Mice, Alzheimer Disease metabolism, Alzheimer Disease diagnostic imaging, Benzothiazoles pharmacology, Carbon Radioisotopes, Radiopharmaceuticals, Male, Antibodies, Monoclonal, Humanized pharmacology, Plaque, Amyloid metabolism, Plaque, Amyloid diagnostic imaging, Female, Humans, Antibodies, Monoclonal pharmacology, Positron-Emission Tomography methods, Amyloid beta-Peptides metabolism, Amyloid beta-Peptides immunology, Aniline Compounds pharmacology, Thiazoles pharmacology, Brain metabolism, Brain diagnostic imaging, Brain drug effects, Mice, Transgenic
- Abstract
The elimination of amyloid-beta (Aβ) plaques in Alzheimer's disease patients after treatment with anti-Aβ antibodies such as lecanemab and aducanumab is supported by a substantially decreased signal in amyloid positron emission tomography (PET) imaging. However, this decreased PET signal has not been matched by a similar substantial effect on cognitive function. There may be several reasons for this, including short treatment duration and advanced disease stages among the patients. However, one aspect that has not been investigated, and the subject of this study, is whether antibody engagement with amyloid plaques inhibits the binding of amyloid-PET ligands, leading to a false impression of Aβ removal from the brain. In the present study, tg-ArcSwe mice received three injections of RmAb158, the murine version of lecanemab or phosphate-buffered saline (PBS) before the administration of the amyloid-PET radioligand [
11 C]PiB, followed by isolation of brain tissue. Autoradiography showed that RmAb158- and PBS-treated mice displayed similar [11 C]PiB binding. Moreover, the total Aβ1-40 levels, representing the major Aβ species of plaques in the tg-ArcSwe model, as well as soluble triggering receptor on myeloid cells 2 (sTREM2) levels, were similar in both groups. Interestingly, the concentration of soluble Aβ aggregates was decreased in the RmAb158-treated group, along with a small but significant decrease in the total Aβ1-42 levels. In conclusion, this study indicates that the binding of [11 C]PiB to Aβ accurately mirrors the load of Aβ plaques in the brain, aligning with how amyloid-PET is interpreted in clinical studies of anti-Aβ antibodies. However, early treatment effects on soluble Aβ aggregates and Aβ1-42 levels were not detected., (© 2024 The Authors. Journal of Neurochemistry published by John Wiley & Sons Ltd on behalf of International Society for Neurochemistry.)- Published
- 2024
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29. Age-Related Clusters and Favorable Immune Phenotypes in Young Breast Cancer Patients.
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Ingebriktsen LM, Svanøe AA, Myrmel Sæle AK, Humlevik ROC, Toska K, Kalvenes MB, Aas T, Heie A, Askeland C, Knutsvik G, Stefansson IM, Akslen LA, Hoivik EA, and Wik E
- Subjects
- Humans, Female, Adult, Middle Aged, Age Factors, Young Adult, Biomarkers, Tumor genetics, Gene Expression Profiling, Prognosis, Transcriptome, Cluster Analysis, Breast Neoplasms immunology, Breast Neoplasms pathology, Breast Neoplasms genetics, Breast Neoplasms mortality, Phenotype
- Abstract
Breast cancer (BC) patients aged <40 years at diagnosis experience aggressive disease and poorer survival compared with women diagnosed with BC at 40 to 49 years, but the age-related biology is described to little extent. Here, we explored transcriptional alterations in BC to gain better understanding of age-related tumor biology. We studied a subset of the Bergen in-house cohort (n = 127; age range, 26-49 years) and used the NanoString Breast Cancer 360 expression panel on formalin-fixed paraffin-embedded BC tissue, and publicly available global BC messenger RNA expression data (n = 204; age range, 22-49 years), to explore differentially expressed genes between the young (age <40 years) and older (age 40-49 years) patients. Unsupervised hierarchical clustering was applied to identify gene expression-based patient clusters. We applied established computational approaches to define the PAM50 subtypes, risk of recurrence scores (ROR), and risk groups and to infer the proportions of 22 immune cell types from bulk gene expression profiles of patients aged <50 years at BC diagnosis. Differentially expressed genes and gene sets were investigated using OncoEnrichR and g:Profiler to describe functional profiles and pathway enrichment. We identified 4 age-related patient clusters presenting distinct characteristics of PAM50 subtypes and ROR profiles, which demonstrated independent prognostic value when adjusted for traditional clinicopathologic variables and the known molecular subtypes. Our findings showed better survival than expected in the basal-enriched cluster 2 and in triple-negative and basal-like BC. Deconvolution analyses of immunophenotypes indicated higher levels of M0 and M1 macrophages than M2 macrophages in subsets of young BC. Our approach identifies age-based patient clusters with distinct clinicopathologic profiles, to a large extent overlapping with the PAM50 subtypes, although with independent prognostic values in multivariate survival analyses. The patient clusters provided new insight in the immune cell distribution across tumor subtypes, potentially contributing to survival differences between the clusters and the molecular subtypes and indicating age-related mechanisms improving outcome. Our study confirms the applicability of ROR as a valid prognosticator also in a young BC cohort., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)
- Published
- 2024
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30. Age-related phenotypes in breast cancer: A population-based study.
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Svanøe AA, Humlevik ROC, Knutsvik G, Sæle AKM, Askeland C, Ingebriktsen LM, Hugaas U, Kvamme AB, Tegnander AF, Krüger K, Davidsen B, Hoivik EA, Aas T, Stefansson IM, Akslen LA, and Wik E
- Subjects
- Humans, Female, Ki-67 Antigen, Receptor, ErbB-2 genetics, Prognosis, Cell Proliferation, Receptors, Progesterone, Biomarkers, Tumor genetics, Breast Neoplasms pathology
- Abstract
Breast cancer in young (<40 years) is associated with a higher frequency of aggressive tumor types and poor prognosis. It remains unclear if there is an underlying age-related biology that contributes to the unfavorable outcome. We aim to investigate the relationship between age and breast cancer biology, with emphasis on proliferation. Clinico-pathologic information, immunohistochemical markers and follow-up data were obtained for all patients aged <50 (Bergen cohort-1; n = 355, not part of a breast screening program) and compared to previously obtained information on patients aged 50 to 69 years (Bergen cohort-2; n = 540), who participated in the Norwegian Breast Cancer Screening Program. Young breast cancer patients presented more aggressive tumor features such as hormone receptor negativity, HER2 positivity, lymph-node metastasis, the HER2-enriched and triple-negative subtypes and shorter survival. Age <40 was significantly associated with higher proliferation (by Ki67). Ki67 showed weaker prognostic value in young patients. We point to aggressive phenotypes and increased tumor cell proliferation in breast cancer of the young. Hence, tumors of young breast cancer patients may present unique biological features, also when accounting for screen/interval differences, that may open for new clinical opportunities, stratifying treatment by age., (© 2024 The Authors. International Journal of Cancer published by John Wiley & Sons Ltd on behalf of UICC.)
- Published
- 2024
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31. [Breast cancer in men – histopathology and biomarkers].
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Lokøy IK, Bakken IS, Wik E, and Stefansson IM
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- Humans, Male, Aged, Middle Aged, Retrospective Studies, Aged, 80 and over, Adult, Female, Lymphatic Metastasis, Neoplasm Staging, Neoplasm Grading, Age Factors, Receptor, ErbB-2 metabolism, Receptors, Progesterone metabolism, Biomarkers, Tumor, Breast Neoplasms, Male pathology, Breast Neoplasms, Male diagnosis, Receptors, Estrogen metabolism
- Abstract
Background: Breast cancer in men accounts for around 1 % of all cases of the disease. The study aimed to identify histopathological parameters and selected biomarkers in men with breast cancer., Material and Method: Retrospective study of archival material from 53 men diagnosed with breast cancer at the department of pathology, Haukeland University Hospital, in the period 1996-2020. The prevalence of the oestrogen receptor (ER), progesterone receptor (PGR) and Human Epidermal Growth Factor (HER2) biomarkers was examined., Results: Median age at time of diagnosis was 72 years. Median tumour diameter was 24 mm. Forty-nine tumours were classified histologically as invasive carcinoma of no special type (NST), 29 tumours were histologic grade 2 and 18 were grade 3. Fifty-two tumours were ER positive, 39 were PGR positive and four were HER2 positive. Twenty-five patients had lymph node metastases., Interpretation: Our findings indicate that men with breast cancer are diagnosed at an older age than women, and that men have a more advanced stage than women at the time of diagnosis. The histopathology and expression of biomarkers of breast cancer differ between men and women.
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- 2024
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32. Vessel size as a marker of survival in estrogen receptor positive breast cancer.
- Author
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Milosevic V, Edelmann RJ, Winge I, Strell C, Mezheyeuski A, Knutsvik G, Askeland C, Wik E, Akslen LA, and Östman A
- Subjects
- Humans, Female, Receptors, Estrogen metabolism, Prognosis, Biomarkers, Tumor metabolism, Breast Neoplasms pathology
- Abstract
Purpose: Angiogenesis is crucial for tumor growth and is one of the hallmarks of cancer. In this study, we analyzed microvessel density, vessel median size, and perivascular a-SMA expression as prognostic biomarkers in breast cancer., Methods: Dual IHC staining was performed where alpha-SMA antibodies were used together with antibodies against the endothelial cell marker CD34. Digital images of stainings were analyzed to extract quantitative data on vessel density, vessel size, and perivascular alpha-SMA status., Results: The analyses in the discovery cohort (n = 108) revealed a statistically significant relationship between large vessel size and shorter disease-specific survival (p = 0.007, log-rank test; p = 0.01, HR 3.1; 95% CI 1.3-7.4, Cox-regression analyses). Subset analyses indicated that the survival association of vessel size was strengthened in ER + breast cancer. To consolidate these findings, additional analyses were performed on a validation cohort (n = 267) where an association between large vessel size and reduced survival was also detected in ER + breast cancer (p = 0.016, log-rank test; p = 0.02; HR 2.3, 95% CI 1.1-4.7, Cox-regression analyses)., Conclusion: Alpha-SMA/CD34 dual-IHC staining revealed breast cancer heterogeneity regarding vessel size, vessel density, and perivascular a-SMA status. Large vessel size was linked to shorter survival in ER + breast cancer., (© 2023. The Author(s).)
- Published
- 2023
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33. Hypoxia induced responses are reflected in the stromal proteome of breast cancer.
- Author
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Kjølle S, Finne K, Birkeland E, Ardawatia V, Winge I, Aziz S, Knutsvik G, Wik E, Paulo JA, Vethe H, Kleftogiannis D, and Akslen LA
- Subjects
- Humans, Female, Proteome metabolism, Gene Expression Profiling, Cell Line, Tumor, Hypoxia genetics, Gene Expression Regulation, Neoplastic, Breast Neoplasms pathology
- Abstract
Cancers are often associated with hypoxia and metabolic reprogramming, resulting in enhanced tumor progression. Here, we aim to study breast cancer hypoxia responses, focusing on secreted proteins from low-grade (luminal-like) and high-grade (basal-like) cell lines before and after hypoxia. We examine the overlap between proteomics data from secretome analysis and laser microdissected human breast cancer stroma, and we identify a 33-protein stromal-based hypoxia profile (33P) capturing differences between luminal-like and basal-like tumors. The 33P signature is associated with metabolic differences and other adaptations following hypoxia. We observe that mRNA values for 33P predict patient survival independently of molecular subtypes and basic prognostic factors, also among low-grade luminal-like tumors. We find a significant prognostic interaction between 33P and radiation therapy., (© 2023. The Author(s).)
- Published
- 2023
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34. Long-term effects of immunotherapy with a brain penetrating Aβ antibody in a mouse model of Alzheimer's disease.
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Gustavsson T, Metzendorf NG, Wik E, Roshanbin S, Julku U, Chourlia A, Nilsson P, Andersson KG, Laudon H, Hultqvist G, Syvänen S, and Sehlin D
- Subjects
- Mice, Animals, Mice, Transgenic, Amyloid beta-Peptides metabolism, Brain metabolism, Antibodies therapeutic use, Antibodies pharmacology, Immunotherapy, Disease Models, Animal, Alzheimer Disease genetics
- Abstract
Background: Brain-directed immunotherapy is a promising strategy to target amyloid-β (Aβ) deposits in Alzheimer's disease (AD). In the present study, we compared the therapeutic efficacy of the Aβ protofibril targeting antibody RmAb158 with its bispecific variant RmAb158-scFv8D3, which enters the brain by transferrin receptor-mediated transcytosis., Methods: App
NL-G-F knock-in mice received RmAb158, RmAb158-scFv8D3, or PBS in three treatment regimens. First, to assess the acute therapeutic effect, a single antibody dose was given to 5 months old AppNL-G-F mice, with evaluation after 3 days. Second, to assess the antibodies' ability to halt the progression of Aβ pathology, 3 months old AppNL-G-F mice received three doses during a week, with evaluation after 2 months. Reduction of RmAb158-scFv8D3 immunogenicity was explored by introducing mutations in the antibody or by depletion of CD4+ T cells. Third, to study the effects of chronic treatment, 7-month-old AppNL-G-F mice were CD4+ T cell depleted and treated with weekly antibody injections for 8 weeks, including a final diagnostic dose of [125 I]RmAb158-scFv8D3, to determine its brain uptake ex vivo. Soluble Aβ aggregates and total Aβ42 were quantified with ELISA and immunostaining., Results: Neither RmAb158-scFv8D3 nor RmAb158 reduced soluble Aβ protofibrils or insoluble Aβ1-42 after a single injection treatment. After three successive injections, Aβ1-42 was reduced in mice treated with RmAb158, with a similar trend in RmAb158-scFv8D3-treated mice. Bispecific antibody immunogenicity was somewhat reduced by directed mutations, but CD4+ T cell depletion was used for long-term therapy. CD4+ T cell-depleted mice, chronically treated with RmAb158-scFv8D3, showed a dose-dependent increase in blood concentration of the diagnostic [125 I]RmAb158-scFv8D3, while concentration was low in plasma and brain. Chronic treatment did not affect soluble Aβ aggregates, but a reduction in total Aβ42 was seen in the cortex of mice treated with both antibodies., Conclusions: Both RmAb158 and its bispecific variant RmAb158-scFv8D3 achieved positive effects of long-term treatment. Despite its ability to efficiently enter the brain, the benefit of using the bispecific antibody in chronic treatment was limited by its reduced plasma exposure, which may be a result of interactions with TfR or the immune system. Future research will focus in new antibody formats to further improve Aβ immunotherapy., (© 2023. The Author(s).)- Published
- 2023
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35. CD47 and CD68 expression in breast cancer is associated with tumor-infiltrating lymphocytes, blood vessel invasion, detection mode, and prognosis.
- Author
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Chen Y, Klingen TA, Aas H, Wik E, and Akslen LA
- Subjects
- Female, Humans, CD47 Antigen metabolism, Immunohistochemistry, Prognosis, Breast Neoplasms pathology, Lymphocytes, Tumor-Infiltrating
- Abstract
CD47 expressed on tumor cells binds to signal regulatory protein alpha on macrophages, initiating inhibition of phagocytosis. We investigated the relationships between tumor expression of CD47 and CD68 macrophage content, subsets of tumor-infiltrating lymphocytes (TILs), and vascular invasion in breast cancer. A population-based series of 282 cases (200 screen detected and 82 interval patients) from the Norwegian Breast Cancer Screening Program was examined. Immunohistochemical staining for CD47 and CD68 was evaluated on tissue microarray (TMA) slides. For CD47 evaluation, a staining index was used. CD68 tumor-associated macrophages were counted and dichotomized. TIL subsets (CD45, CD3, CD4, CD8, and FOXP3) were counted and dichotomized using immunohistochemistry on TMA slides. Vascular invasion (both lymphatic and blood vessel) was determined on whole tissue slides. High CD47 tumor cell expression or high counts of CD68 macrophages were significantly associated with elevated levels of all TIL subsets (p < 0.02), CD163 macrophages (p < 0.001), blood vessel invasion (CD31 positive) (p < 0.01), and high tumor cell Ki67 (p < 0.004). High CD47 expression was associated with ER negativity (p < 0.001), HER2 positive status (p = 0.03), and interval-detected tumors (p = 0.03). Combined high expression of CD47-CD68 was associated with a shorter recurrence-free survival (RFS) by multivariate analysis (hazard ratio [HR]: 2.37, p = 0.018), adjusting for tumor diameter, histologic grade, lymph node status, and molecular subtype. Patients with luminal A tumors showed a shorter RFS for CD47-CD68 high cases by multivariate assessment (HR: 5.73, p = 0.004). This study demonstrates an association of concurrent high CD47 tumor cell expression and high CD68 macrophage counts with various TIL subsets, blood vessel invasion (CD31 positive), other aggressive tumor features, and interval-presenting breast cancer. Our findings suggest a link between CD47, tumor immune response, and blood vessel invasion (CD31 positive). Combined high expression of CD47-CD68 was an independent prognostic factor associated with poor prognosis in all cases, as well as in the luminal A category., (© 2022 The Authors. The Journal of Pathology: Clinical Research published by The Pathological Society of Great Britain and Ireland and John Wiley & Sons Ltd.)
- Published
- 2023
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36. Brain pharmacokinetics of mono- and bispecific amyloid-β antibodies in wild-type and Alzheimer's disease mice measured by high cut-off microdialysis.
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Julku U, Xiong M, Wik E, Roshanbin S, Sehlin D, and Syvänen S
- Subjects
- Animals, Mice, Tissue Distribution, Mice, Transgenic, Amyloid beta-Peptides metabolism, Brain metabolism, Disease Models, Animal, Alzheimer Disease, Antibodies, Bispecific pharmacokinetics
- Abstract
Background: Treatment with amyloid-β (Aβ) targeting antibodies is a promising approach to remove Aβ brain pathology in Alzheimer's disease (AD) and possibly even slow down or stop progression of the disease. One of the main challenges of brain immunotherapy is the restricted delivery of antibodies to the brain. However, bispecific antibodies that utilize the transferrin receptor (TfR) as a shuttle for transport across the blood-brain barrier (BBB) can access the brain better than traditional monospecific antibodies. Previous studies have shown that bispecific Aβ targeting antibodies have higher brain distribution, and can remove Aβ pathology more efficiently than monospecific antibodies. Yet, there is only limited information available on brain pharmacokinetics, especially regarding differences between mono- and bispecific antibodies., Methods: The aim of the study was to compare brain pharmacokinetics of Aβ-targeting monospecific mAb3D6 and its bispecific version mAb3D6-scFv8D3 that also targets TfR. High cut-off microdialysis was used to measure intravenously injected radiolabelled mAb3D6 and mAb3D6-scFv8D3 antibodies in the interstitial fluid (ISF) of hippocampus in wild-type mice and the App
NL-G-F mouse model of AD. Distribution of the antibodies in the brain and the peripheral tissue was examined by ex vivo autoradiography and biodistribution studies., Results: Brain concentrations of the bispecific antibody were elevated compared to the monospecific antibody in the hippocampal ISF measured by microdialysis and in the brain tissue at 4-6 h after an intravenous injection. The concentration of the bispecific antibody was approximately twofold higher in the ISF dialysate compared to the concentration of monospecific antibody and eightfold higher in brain tissue 6 h post-injection. The ISF dialysate concentrations for both antibodies were similar in both wild-type and AppNL-G-F mice 24 h post-injection, although the total brain tissue concentration of the bispecific antibody was higher than that of the monospecific antibody at this time point. Some accumulation of radioactivity around the probe area was observed especially for the monospecific antibody indicating that the probe compromised the BBB to some extent at the probe insertion site., Conclusion: The BBB-penetrating bispecific antibody displayed higher ISF concentrations than the monospecific antibody. The concentration difference between the two antibodies was even larger in the whole brain than in the ISF. Further, the bispecific antibody, but not the monospecific antibody, displayed higher total brain concentrations than ISF concentrations, indicating association to brain tissue., (© 2022. The Author(s).)- Published
- 2022
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37. Tumor-associated lymphocytes and macrophages are related to stromal elastosis and vascular invasion in breast cancer.
- Author
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Chen Y, Klingen TA, Aas H, Wik E, and Akslen LA
- Subjects
- Aged, Antigens, CD, Biomarkers, Tumor, Breast Neoplasms diagnosis, Disease-Free Survival, Humans, Immunohistochemistry, Ki-67 Antigen, Lymphocyte Subsets pathology, Middle Aged, Neoplasm Recurrence, Local, Neovascularization, Pathologic, Prognosis, Receptor, ErbB-2, Retrospective Studies, Tumor Microenvironment, Breast Neoplasms blood supply, Breast Neoplasms pathology, Elastin metabolism, Lymphocytes, Tumor-Infiltrating pathology, Macrophages pathology
- Abstract
The tumor microenvironment plays a critical role in breast cancer progression. Here, we investigated tumor-infiltrating lymphocytes (TILs) and associations with macrophage numbers, tumor stromal elastosis, vascular invasion, and tumor detection mode. We performed a population-based retrospective study using data from The Norwegian Breast Cancer Screening Program in Vestfold County (2004-2009), including 200 screen-detected and 82 interval cancers. The number of TILs (CD45+, CD3+, CD4+, CD8+, and FOXP3+) and tumor-associated macrophages (CD163+) was counted using immunohistochemistry on tissue microarray slides. Lymphatic and blood vessel invasion (LVI and BVI) were recorded using D2-40 and CD31 staining, and the amount of elastosis (high/low) was determined on regular HE-stained slides. High numbers of all TIL subsets were associated with LVI (p ≤ 0.04 for all), and high counts of several TIL subgroups (CD8+, CD45+, and FOXP3+) were associated with BVI (p ≤ 0.04 for all). Increased levels of all TIL subsets, except CD4+, were associated with estrogen receptor-negative tumors (p < 0.001) and high tumor cell proliferation by Ki67 (p < 0.001). Furthermore, high levels of all TIL subsets were associated with high macrophage counts (p < 0.001) and low-grade stromal elastosis (p ≤ 0.02). High counts of CD3+, CD8+, and FOXP3+ TILs were associated with interval detected tumors (p ≤ 0.04 for all). Finally, in the luminal A subgroup, high levels of CD3+ and FOXP3+ TILs were associated with shorter recurrence-free survival, and high counts of FOXP3+ were linked to reduced breast cancer-specific survival. In conclusion, higher levels of different TIL subsets were associated with stromal features such as high macrophage counts (CD163+), presence of vascular invasion, absence of stromal elastosis, as well as increased tumor cell proliferation and interval detection mode. Our findings support a link between immune cells and vascular invasion in more aggressive breast cancer. Notably, presence of TIL subsets showed prognostic value within the luminal A category., (© 2021 The Authors. The Journal of Pathology: Clinical Research published by The Pathological Society of Great Britain and Ireland & John Wiley & Sons, Ltd.)
- Published
- 2021
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38. Fibulin-2 expression associates with vascular invasion and patient survival in breast cancer.
- Author
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Klingen TA, Chen Y, Aas H, Wik E, and Akslen LA
- Subjects
- Biomarkers, Tumor metabolism, Breast Neoplasms mortality, Breast Neoplasms pathology, Female, Humans, Neoplasm Invasiveness, Prognosis, Retrospective Studies, Survival Rate, Breast Neoplasms metabolism, Calcium-Binding Proteins metabolism, Elastic Tissue metabolism, Extracellular Matrix Proteins metabolism
- Abstract
Stromal elastosis is related to good prognosis in breast cancer and fibulin-2 helps to stabilize elastic fibers in basement membranes. Here, we examined the level of perivascular fibulin-2 expression in relation to elastosis content, vascular invasion, molecular subtypes, tumour detection mode, and patient prognosis in breast cancer. We performed a population based retrospective study of invasive breast cancers from the Norwegian Breast Screening Program (Vestfold County, 2004-2009) including 200 screen-detected and 82 interval cancers. Perivascular fibulin-2 staining was semi-quantitatively graded based on immunohistochemistry (1-3) and dichotomized as high expression (grade 2-3) and low expression (grade 1). Elastosis content was graded on a 4-tiered scale and dichotomized as high (score 3) and low (score 0-2) expression, whereas lymphatic (LVI) and blood vessel invasion (BVI) were recorded as absent or present by immunohistochemistry. High perivascular fibulin-2 expression was strongly related to stromal elastosis (p<0.001), and inversely associated with BVI and LVI (p<0.001 for both). High fibulin-2 was associated with luminal breast cancer subgroups (p<0.001) and inversely with interval cancers compared with screen-detected tumours (p<0.001). By univariate analysis, low perivascular fibulin-2 was associated with reduced recurrence-free survival (p = 0.002) and disease specific survival (p = 0.019). Low perivascular fibulin-2 expression was strongly related to vascular invasion, low stromal elastosis, non-luminal breast cancer subtypes, interval presentation, and adverse prognosis., Competing Interests: The authors have declared that no competing interests exist.
- Published
- 2021
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39. Baseline microvessel density predicts response to neoadjuvant bevacizumab treatment of locally advanced breast cancer.
- Author
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Krüger K, Silwal-Pandit L, Wik E, Straume O, Stefansson IM, Borgen E, Garred Ø, Naume B, Engebraaten O, and Akslen LA
- Subjects
- Adult, Aged, Biopsy, Large-Core Needle, Female, Humans, Middle Aged, Bevacizumab administration & dosage, Breast Neoplasms blood supply, Breast Neoplasms drug therapy, Breast Neoplasms pathology, Microvascular Density, Neoadjuvant Therapy, Neovascularization, Pathologic drug therapy, Neovascularization, Pathologic pathology
- Abstract
A subset of breast cancer patients benefits from preoperative bevacizumab and chemotherapy, but validated predictive biomarkers are lacking. Here, we aimed to evaluate tissue-based angiogenesis markers for potential predictive value regarding response to neoadjuvant bevacizumab treatment in breast cancer. In this randomized 1:1 phase II clinical trial, 132 patients with large or locally advanced HER2-negative tumors received chemotherapy ± bevacizumab. Dual Factor VIII/Ki-67 immunohistochemical staining was performed on core needle biopsies at baseline and week 12. Microvessel density (MVD), proliferative microvessel density (pMVD; Factor VIII/Ki-67 co-expression), glomeruloid microvascular proliferation (GMP), and a gene expression angiogenesis signature score, were studied in relation to pathologic complete response (pCR), clinico-pathologic features and intrinsic molecular subtype. We found that high baseline MVD (by median) significantly predicted pCR in the bevacizumab-arm (odds ratio 4.9, P = 0.012). High pMVD, presence of GMP, and the angiogenesis signature score did not predict pCR, but were associated with basal-like (P ≤ 0.009) and triple negative phenotypes (P ≤ 0.041). pMVD and GMP did also associate with high-grade tumors (P ≤ 0.048). To conclude, high baseline MVD significantly predicted response to bevacizumab treatment. In contrast, pMVD, GMP, and the angiogenesis signature score, did not predict response, but associated with aggressive tumor features, including basal-like and triple-negative phenotypes.
- Published
- 2021
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40. Stathmin expression associates with vascular and immune responses in aggressive breast cancer subgroups.
- Author
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Askeland C, Wik E, Finne K, Birkeland E, Arnes JB, Collett K, Knutsvik G, Krüger K, Davidsen B, Aas T, Eide GE, Stefansson IM, Foulkes WD, and Akslen LA
- Subjects
- BRCA1 Protein genetics, Breast metabolism, Breast Neoplasms genetics, Breast Neoplasms pathology, Cell Line, Tumor, Cell Proliferation drug effects, Cell Proliferation genetics, Female, Gene Expression Regulation, Neoplastic drug effects, Germ-Line Mutation genetics, Humans, Kaplan-Meier Estimate, Logistic Models, Neoplasm Invasiveness, Phenotype, Phosphatidylinositol 3-Kinases metabolism, Phosphoinositide-3 Kinase Inhibitors pharmacology, RNA, Messenger genetics, RNA, Messenger metabolism, Receptors, Estrogen metabolism, Stathmin metabolism, Breast Neoplasms blood supply, Breast Neoplasms immunology, Stathmin genetics
- Abstract
Studies indicate that stathmin expression associates with PI3K activation in breast cancer, suggesting stathmin as a marker for targetable patient subgroups. Here we assessed stathmin in relation to tumour proliferation, vascular and immune responses, BRCA1 germline status, basal-like differentiation, clinico-pathologic features, and survival. Immunohistochemical staining was performed on breast cancers from two series (cohort 1, n = 187; cohort 2, n = 198), and mass spectrometry data from 24 cases and 12 breast cancer cell lines was examined for proteomic profiles. Open databases were also explored (TCGA, METABRIC, Oslo2 Landscape cohort, Cancer Cell Line Encyclopedia). High stathmin expression associated with tumour proliferation, p53 status, basal-like differentiation, BRCA1 genotype, and high-grade histology. These patterns were confirmed using mRNA data. Stathmin mRNA further associated with tumour angiogenesis, immune responses and reduced survival. By logistic regression, stathmin protein independently predicted a BRCA1 genotype (OR 10.0, p = 0.015) among ER negative tumours. Cell line analysis (Connectivity Map) implied PI3K inhibition in tumours with high stathmin. Altogether, our findings indicate that stathmin might be involved in the regulation of tumour angiogenesis and immune responses in breast cancer, in addition to tumour proliferation. Cell data point to potential effects of PI3K inhibition in tumours with high stathmin expression.
- Published
- 2020
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41. MRPS23 amplification and gene expression in breast cancer; association with proliferation and the non-basal subtypes.
- Author
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Klæstad E, Opdahl S, Engstrøm MJ, Ytterhus B, Wik E, Bofin AM, and Valla M
- Subjects
- Adult, Aged, Aged, 80 and over, Cell Proliferation, DNA Copy Number Variations, Female, Humans, In Situ Hybridization, Fluorescence, Incidence, Middle Aged, Neoplasm Grading, Neoplasm Metastasis, Neoplasm Staging, Registries, Biomarkers, Tumor, Breast Neoplasms genetics, Breast Neoplasms pathology, Gene Expression Regulation, Neoplastic, Mitochondrial Proteins genetics, Ribosomal Proteins genetics
- Abstract
Purpose: MRPS23 is recognized as a driver of proliferation in luminal breast cancer. The aims of the present study were to describe MRPS23 copy number change in breast cancer, and to assess associations between MRPS23 copy number change and molecular subtype, proliferation and prognosis, and between MRPS23 gene expression and molecular subtype and prognosis., Methods: Using fluorescence in situ hybridization (FISH), we examined MRPS23 and centromere 17 copy number in 590 formalin-fixed, paraffin-embedded primary tumours and 144 corresponding lymph node metastases from a cohort of Norwegian breast cancer patients. Furthermore, we analysed MRPS23 gene expression data in 1971 primary breast cancer tumours from the METABRIC dataset. We used Pearson's χ
2 test to assess associations between MRPS23 copy number and molecular subtype and proliferation, and between MRPS23 expression and molecular subtype. We studied prognosis by estimating hazard ratios and cumulative incidence of death from breast cancer according to MRPS23 copy number and MRPS23 expression status., Results: We found MRPS23 amplification (mean MRPS23 copy number ≥ 6 and/or MRPS23/chromosome 17 ratio ≥ 2) in 8% of primary tumours. Copy number increase associated with non-basal subtypes and higher tumour cell proliferation (Ki67). Higher MRPS23 expression associated with the Luminal B subtype. We found no significant association between MRPS23 amplification or MRSP23 gene expression, and prognosis., Conclusion: Amplification of MRPS23 is associated with higher proliferation and non-basal subtypes in breast cancer. High MRPS23 expression is associated with the Luminal B subtype.- Published
- 2020
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42. Integrin α11β1 is expressed in breast cancer stroma and associates with aggressive tumor phenotypes.
- Author
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Smeland HY, Askeland C, Wik E, Knutsvik G, Molven A, Edelmann RJ, Reed RK, Warren DJ, Gullberg D, Stuhr L, and Akslen LA
- Subjects
- Aged, Antibodies, Monoclonal, Carcinoma pathology, Female, Humans, Integrin alpha Chains analysis, Integrins analysis, Integrins biosynthesis, Middle Aged, Phenotype, Receptors, Collagen analysis, Receptors, Collagen biosynthesis, Breast Neoplasms metabolism, Breast Neoplasms pathology, Carcinoma metabolism, Integrin alpha Chains biosynthesis
- Abstract
Cancer-associated fibroblasts are essential modifiers of the tumor microenvironment. The collagen-binding integrin α11β1 has been proposed to be upregulated in a pro-tumorigenic subtype of cancer-associated fibroblasts. Here, we analyzed the expression and clinical relevance of integrin α11β1 in a large breast cancer series using a novel antibody against the human integrin α11 chain. Several novel monoclonal antibodies against the integrin α11 subunit were tested for use on formalin-fixed paraffin-embedded tissues, and Ab 210F4B6A4 was eventually selected to investigate the immunohistochemical expression in 392 breast cancers using whole sections. mRNA data from METABRIC and co-expression patterns of integrin α11 in relation to αSMA and cytokeratin-14 were also investigated. Integrin α11 was expressed to varying degrees in spindle-shaped cells in the stroma of 99% of invasive breast carcinomas. Integrin α11 co-localized with αSMA in stromal cells, and with αSMA and cytokeratin-14 in breast myoepithelium. High stromal integrin α11 expression (66% of cases) was associated with aggressive breast cancer features such as high histologic grade, increased tumor cell proliferation, ER negativity, HER2 positivity, and triple-negative phenotype, but was not associated with breast cancer specific survival at protein or mRNA levels. In conclusion, high stromal integrin α11 expression was associated with aggressive breast cancer phenotypes., (© 2019 The Authors. The Journal of Pathology: Clinical Research published by The Pathological Society of Great Britain and Ireland and John Wiley & Sons Ltd.)
- Published
- 2020
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43. PIK3CA Amplification Associates with Aggressive Phenotype but Not Markers of AKT-MTOR Signaling in Endometrial Carcinoma.
- Author
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Holst F, Werner HMJ, Mjøs S, Hoivik EA, Kusonmano K, Wik E, Berg A, Birkeland E, Gibson WJ, Halle MK, Trovik J, Cherniack AD, Kalland KH, Mills GB, Singer CF, Krakstad C, Beroukhim R, and Salvesen HB
- Subjects
- Aged, DNA Copy Number Variations genetics, Disease-Free Survival, Endometrial Neoplasms epidemiology, Endometrial Neoplasms pathology, Female, Gene Amplification, Gene Expression Regulation, Neoplastic genetics, Humans, Middle Aged, Mutation, Neoplasm Metastasis, Phenotype, Proto-Oncogene Proteins c-akt genetics, RNA, Messenger genetics, Signal Transduction, TOR Serine-Threonine Kinases genetics, Biomarkers, Tumor genetics, Class I Phosphatidylinositol 3-Kinases genetics, Endometrial Neoplasms genetics, Prognosis
- Abstract
Purpose: Amplification of PIK3CA , encoding the PI3K catalytic subunit alpha, is common in uterine corpus endometrial carcinoma (UCEC) and linked to an aggressive phenotype. However, it is unclear whether PIK3CA amplification acts via PI3K activation. We investigated the association between PIK3CA amplification, markers of PI3K activity, and prognosis in a large cohort of UCEC specimens., Experimental Design: UCECs from 591 clinically annotated patients including 83 tumors with matching metastasis ( n = 188) were analyzed by FISH to determine PIK3CA copy-number status. These data were integrated with mRNA and protein expression and clinicopathologic data. Results were verified in The Cancer Genome Atlas dataset., Results: PIK3CA amplifications were associated with disease-specific mortality and with other markers of aggressive disease. PIK3CA amplifications were also associated with other amplifications characteristic of the serous-like somatic copy-number alteration (SCNA)-high subgroup of UCEC. Tumors with PIK3CA amplification also demonstrated an increase in phospho-p70S6K but had decreased levels of activated phospho-AKT1-3 as assessed by Reverse Phase Protein Arrays and an mRNA signature of MTOR inhibition., Conclusions: PIK3CA amplification is a strong prognostic marker and a potential marker for the aggressive SCNA-high subgroup of UCEC. Although PIK3CA amplification associates with some surrogate measures of increased PI3K activity, markers for AKT1-3 and MTOR signaling are decreased, suggesting that this signaling is not a predominant pathway to promote cancer growth of aggressive serous-like UCEC. Moreover, these associations may reflect features of the SCNA-high subgroup of UCEC rather than effects of PIK3CA amplification itself., (©2018 American Association for Cancer Research.)
- Published
- 2019
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44. Deblender: a semi-/unsupervised multi-operational computational method for complete deconvolution of expression data from heterogeneous samples.
- Author
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Dimitrakopoulou K, Wik E, Akslen LA, and Jonassen I
- Subjects
- Algorithms, Humans, Computational Biology methods, Gene Expression genetics
- Abstract
Background: Towards discovering robust cancer biomarkers, it is imperative to unravel the cellular heterogeneity of patient samples and comprehend the interactions between cancer cells and the various cell types in the tumor microenvironment. The first generation of 'partial' computational deconvolution methods required prior information either on the cell/tissue type proportions or the cell/tissue type-specific expression signatures and the number of involved cell/tissue types. The second generation of 'complete' approaches allowed estimating both of the cell/tissue type proportions and cell/tissue type-specific expression profiles directly from the mixed gene expression data, based on known (or automatically identified) cell/tissue type-specific marker genes., Results: We present Deblender, a flexible complete deconvolution tool operating in semi-/unsupervised mode based on the user's access to known marker gene lists and information about cell/tissue composition. In case of no prior knowledge, global gene expression variability is used in clustering the mixed data to substitute marker sets with cluster sets. In addition, we integrate a model selection criterion to predict the number of constituent cell/tissue types. Moreover, we provide a tailored algorithmic scheme to estimate mixture proportions for realistic experimental cases where the number of involved cell/tissue types exceeds the number of mixed samples. We assess the performance of Deblender and a set of state-of-the-art existing tools on a comprehensive set of benchmark and patient cancer mixture expression datasets (including TCGA)., Conclusion: Our results corroborate that Deblender can be a valuable tool to improve understanding of gene expression datasets with implications for prediction and clinical utilization. Deblender is implemented in MATLAB and is available from ( https://github.com/kondim1983/Deblender/ ).
- Published
- 2018
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45. Identification of highly connected and differentially expressed gene subnetworks in metastasizing endometrial cancer.
- Author
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Kusonmano K, Halle MK, Wik E, Hoivik EA, Krakstad C, Mauland KK, Tangen IL, Berg A, Werner HMJ, Trovik J, Øyan AM, Kalland KH, Jonassen I, Salvesen HB, and Petersen K
- Subjects
- Cell Proliferation, Computational Biology, Epithelial-Mesenchymal Transition physiology, Female, Gene Expression Regulation, Neoplastic, Gene Regulatory Networks, Humans, Hypoxia genetics, Hypoxia metabolism, Models, Statistical, RNA metabolism, Software, Carcinoma genetics, Carcinoma metabolism, Endometrial Neoplasms genetics, Endometrial Neoplasms metabolism, Neoplasm Metastasis genetics, Neoplasm Metastasis physiopathology
- Abstract
We have identified nine highly connected and differentially expressed gene subnetworks between aggressive primary tumors and metastatic lesions in endometrial carcinomas. We implemented a novel pipeline combining gene set and network approaches, which here allows integration of protein-protein interactions and gene expression data. The resulting subnetworks are significantly associated with disease progression across tumor stages from complex atypical hyperplasia, primary tumors to metastatic lesions. The nine subnetworks include genes related to metastasizing features such as epithelial-mesenchymal transition (EMT), hypoxia and cell proliferation. TCF4 and TWIST2 were found as central genes in the subnetwork related to EMT. Two of the identified subnetworks display statistically significant association to patient survival, which were further supported by an independent validation in the data from The Cancer Genome Atlas data collection. The first subnetwork contains genes related to cell proliferation and cell cycle, while the second contains genes involved in hypoxia such as HIF1A and EGLN3. Our findings provide a promising context to elucidate the biological mechanisms of metastasis, suggest potential prognostic markers and further identify therapeutic targets. The pipeline R source code is freely available, including permutation tests to assess statistical significance of the identified subnetworks., Competing Interests: The authors have declared that no competing interests exist.
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- 2018
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46. Transient elevation of anti-transglutaminase and anti-endomysium antibodies in Giardia infection.
- Author
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Hanevik K, Wik E, Langeland N, and Hausken T
- Subjects
- Adult, Biomarkers blood, Celiac Disease complications, Enzyme-Linked Immunosorbent Assay, Female, Giardia, Humans, Immunoglobulin A blood, Immunoglobulin G blood, Male, Middle Aged, Transglutaminases immunology, Young Adult, Autoantibodies blood, Celiac Disease blood, Duodenum pathology, Giardiasis diagnosis
- Abstract
Markers of celiac disease (CeD) may be elevated in various conditions of intestinal inflammation or autoimmune disease. Recent reports argue that intestinal infection may induce development of CeD in susceptible individuals. Serum anti-tissue transglutaminase (tTG) and anti-endomysium antibodies (EMA) have been proposed in previous reports to be helpful in differentiating between giardiasis and CeD. In this report, we describe eight cases with elevated CeD serological markers and pathological duodenal histology during, or shortly after, Giardia infection. We present follow-up clinical and serological findings to determine which of these that were diagnosed with CeD. Serum levels of tTGand EMA did not discriminate well between patients where CeD was excluded, and those who were later diagnosed with CeD. The value of these serological CeD markers is discussed in relation to CeD diagnosis in cases with chronic or recent giardiasis.
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- 2018
- Full Text
- View/download PDF
47. Tumor-associated macrophages are strongly related to vascular invasion, non-luminal subtypes, and interval breast cancer.
- Author
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Klingen TA, Chen Y, Aas H, Wik E, and Akslen LA
- Subjects
- Aged, Blood Vessels immunology, Breast Neoplasms immunology, Breast Neoplasms mortality, Breast Neoplasms therapy, Disease-Free Survival, Female, Humans, Kaplan-Meier Estimate, Lymphatic Metastasis, Lymphatic Vessels immunology, Macrophages immunology, Middle Aged, Neoplasm Invasiveness, Neoplasm Recurrence, Local, Norway, Phenotype, Platelet Endothelial Cell Adhesion Molecule-1 analysis, Proportional Hazards Models, Retrospective Studies, Risk Factors, Time Factors, Treatment Outcome, Up-Regulation, Antigens, CD analysis, Antigens, Differentiation, Myelomonocytic analysis, Biomarkers, Tumor analysis, Blood Vessels pathology, Breast Neoplasms pathology, Lymphatic Vessels pathology, Macrophages pathology, Receptors, Cell Surface analysis
- Abstract
Tumor-associated macrophages (TAM) resemble M2 macrophages, promote tumor invasion and show strong expression of CD163 in breast cancer. We here investigated the association between CD163-positive macrophages and vascular invasion, molecular subgroups, mode of detection, and patient outcome. We performed a population-based, retrospective study of invasive breast cancer from the Norwegian Breast Cancer Screening Programme in Vestfold County (2004-2009), including 200 screen-detected and 82 interval cancers. Immunohistochemically CD163-positive macrophages were counted in the most active areas (hotspots) and dichotomized as high (upper quartile) and low counts. Lymphatic vessel involvement (LVI) and blood vessel invasion (BVI) were recorded separately based on immunohistochemical staining (D2-40 and CD31 antibodies). High levels of CD163-positive macrophages were associated with BVI and lymphatic involvement as well as interval cancer detection when compared to screening-detected tumors. In addition, the presence of high CD163+ TAM levels was more often observed in HER2-positive, basal-like and Triple-negative breast cancers and was associated with several features of aggressive tumors. In survival analyses, cases with combined high CD163 counts and BVI showed a significantly reduced recurrence-free survival (RFS) and disease-specific survival (DSS) (P < .001 for both) compared with all other cases. The presence of CD163-positive, tumor-associated macrophages is strongly related to aggressive features of breast cancer such as vessel invasion, detection between screening intervals, non-luminal molecular subgroups and reduced survival., (Copyright © 2017 Elsevier Inc. All rights reserved.)
- Published
- 2017
- Full Text
- View/download PDF
48. C77G in PTPRC (CD45) is no risk allele for ovarian cancer, but associated with less aggressive disease.
- Author
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Landskron J, Kraggerud SM, Wik E, Dørum A, Bjørnslett M, Melum E, Helland Ø, Bjørge L, Lothe RA, Salvesen HB, and Taskén K
- Subjects
- Adult, Aged, Case-Control Studies, Female, Gene Frequency, Humans, Middle Aged, Norway, Ovarian Neoplasms pathology, Polymorphism, Single Nucleotide, Leukocyte Common Antigens genetics, Mutation, Missense, Ovarian Neoplasms genetics
- Abstract
The pan lymphocyte marker CD45 exists in various isoforms arising from alternative splicing of the exons 4, 5 and 6. While naïve T cells express CD45RA translated from an mRNA containing exon 4, exons 4-6 are spliced out to encode the shorter CD45R0 in antigen-experienced effector/memory T cells. The SNP C77G (rs17612648) is located in exon 4 and blocks the exon's differential splicing from the pre-mRNA, enforcing expression of CD45RA. Several studies have linked C77G to autoimmune diseases but lack of validation in other cohorts has left its role elusive. An incidental finding in an ovarian cancer patient cohort from West Norway (Bergen region, n = 312), suggested that the frequency of C77G was higher among ovarian cancer patients than in healthy Norwegians (n = 1,357) (3.0% vs. 1.8% allele frequency). However, this finding could not be validated in a larger patient cohort from South-East Norway (Oslo region, n = 1,198) with 1.2% allele frequency. Hence, C77G is not associated with ovarian cancer in the Norwegian population. However, its frequency was increased in patients with FIGO stage II, endometrioid histology or an age at diagnosis of 60 years or older indicating a possible association with a less aggressive cancer type.
- Published
- 2017
- Full Text
- View/download PDF
49. Expression of Nestin associates with BRCA1 mutations, a basal-like phenotype and aggressive breast cancer.
- Author
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Krüger K, Wik E, Knutsvik G, Nalwoga H, Klingen TA, Arnes JB, Chen Y, Mannelqvist M, Dimitrakopoulou K, Stefansson IM, Birkeland E, Aas T, Tobin NP, Jonassen I, Bergh J, Foulkes WD, and Akslen LA
- Subjects
- Aged, Female, Humans, Immunohistochemistry, Microarray Analysis, Middle Aged, Nestin genetics, Phenotype, Proteome analysis, RNA, Messenger genetics, BRCA1 Protein genetics, Breast Neoplasms pathology, Gene Expression, Mutation, Nestin biosynthesis, RNA, Messenger biosynthesis
- Abstract
We here examined whether Nestin, by protein and mRNA levels, could be a predictor of BRCA1 related breast cancer, a basal-like phenotype, and aggressive tumours. Immunohistochemical staining of Nestin was done in independent breast cancer hospital cohorts (Series I-V, total 1257 cases). Also, TCGA proteomic data (n = 103), mRNA microarray data from TCGA (n = 520), METABRIC (n = 1992), and 6 open access breast cancer datasets (n = 1908) were analysed. Patients with Nestin protein expression in tumour cells more often had BRCA1 germline mutations (OR 8.7, p < 0.0005, Series III), especially among younger patients (<40 years at diagnosis) (OR 16.5, p = 0.003). Nestin protein positivity, observed in 9-28% of our hospital cases (Series I-IV), was independently associated with reduced breast cancer specific survival (HR = 2.0, p = 0.035) and was consistently related to basal-like differentiation (by Cytokeratin 5, OR 8.7-13.8, p < 0.0005; P-cadherin OR 7.0-8.9, p < 0.0005; EGFR staining, OR 3.7-8.2, p ≤ 0.05). Nestin mRNA correlated significantly with Nestin protein expression (ρ = 0.6, p < 0.0005), and high levels were seen in the basal-like intrinsic subtype. Gene expression signalling pathways linked to high Nestin were explored, and revealed associations with stem-like tumour features. In summary, Nestin was strongly associated with germline BRCA1 related breast cancer, a basal-like phenotype, reduced survival, and stemness characteristics.
- Published
- 2017
- Full Text
- View/download PDF
50. Tumour cell invasion into blood vessels is significantly related to breast cancer subtypes and decreased survival.
- Author
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Klingen TA, Chen Y, Stefansson IM, Knutsvik G, Collett K, Abrahamsen AL, Aase H, Aas H, Aas T, Wik E, and Akslen LA
- Subjects
- Aged, Biomarkers, Tumor analysis, Breast Neoplasms mortality, Female, Humans, Immunohistochemistry, Kaplan-Meier Estimate, Middle Aged, Phenotype, Prognosis, Proportional Hazards Models, Tissue Array Analysis, Breast Neoplasms pathology, Neoplasm Invasiveness pathology
- Abstract
Aims: Vascular invasion in breast cancer is associated with increased risk of recurrence, metastases and death from disease. However, there are few studies discriminating between blood vessel invasion (BVI) and lymphatic vessel involvement (LVI)., Methods: A population-based series of 282 breast cancers was examined (200 screen-detected and 82 interval patients) with respect to BVI and LVI in addition to basic features and molecular subtypes, using CD31 and D2-40 antibodies. This series is part of the prospective Norwegian Breast Cancer Screening Program., Results: The frequency of LVI and BVI was 25% and 15%, respectively. BVI was associated with HER2-positive and basal-like tumours, and several features of aggressive breast cancer, whereas LVI showed weaker associations. BVI was the strongest factor to predict interval cancer presentation. BVI showed significant associations with recurrence-free survival and disease-specific survival in univariate and multivariate analyses, whereas LVI was not significant., Conclusions: Our findings indicate that BVI by tumour cells is strongly associated with aggressive tumour features including a basal-like phenotype, and BVI was an independent prognostic factor in contrast to what was found for LVI., (Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.)
- Published
- 2017
- Full Text
- View/download PDF
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