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1. Genome-wide association study of germline variants and breast cancer-specific mortality

Author

Escala-Garcia, M., Guo, Q., Dork, T., Canisius, S., Keeman, R., Dennis, J., Beesley, J., Lecarpentier, J., Bolla, M.K., Wang, Q., Abraham, J., Andrulis, I.L., Anton-Culver, H., Arndt, V., Auer, P.L., Beckmann, M.W., Behrens, S., Benitez, J., Bermisheva, M., Bernstein, L., Blomqvist, C., Boeckx, B., Bojesen, S.E., Bonanni, B., Borresen-Dale, A.L., Brauch, H., Brenner, H., Brentnall, A., Brinton, L., Broberg, P., Brock, I.W., Brucker, S.Y., Burwinkel, B., Caldas, C., Caldes, T., Campa, D., Canzian, F., Carracedo, A., Carter, B.D., Castelao, J.E., Chang-Claude, J., Chanock, S.J., Chenevix-Trench, G., Cheng, T.Y.D., Chin, S.F., Clarke, C.L., Cordina-Duverger, E., Couch, F.J., Cox, D.G., Cox, A., Cross, S.S., Czene, K., Daly, M.B., Devilee, P., Dunn, J.A., Dunning, A.M., Durcan, L., Dwek, M., Earl, H.M., Ekici, A.B., Eliassen, A.H., Ellberg, C., Engel, C., Eriksson, M., Evans, D.G., Figueroa, J., Flesch-Janys, D., Flyger, H., Gabrielson, M., Gago-Dominguez, M., Galle, E., Gapstur, S.M., Garcia-Closas, M., Garcia-Saenz, J.A., Gaudet, M.M., George, A., Georgoulias, V., Giles, G.G., Glendon, G., Goldgar, D.E., Gonzalez-Neira, A., Alnaes, G.I.G., Grip, M., Guenel, P., Haeberle, L., Hahnen, E., Haiman, C.A., Hakansson, N., Hall, P., Hamann, U., Hankinson, S., Harkness, E.F., Harrington, P.A., Hart, S.N., Hartikainen, J.M., Hein, A., Hillemanns, P., Hiller, L., Holleczek, B., Hollestelle, A., Hooning, M.J., Hoover, R.N., Hopper, J.L., Howell, A., Huang, G.M.Q., Humphreys, K., Hunter, D.J., Janni, W., John, E.M., Jones, M.E., Jukkola-Vuorinen, A., Jung, A., Kaaks, R., Kabisch, M., Kaczmarek, K., Kerin, M.J., Khan, S., Khusnutdinova, E., Kiiski, J.I., Kitahara, C.M., Knight, J.A., Ko, Y.D., Koppert, L.B., Kosma, V.M., Kraft, P., Kristensen, V.N., Kruger, U., Kuhl, T., Lambrechts, D., Marchand, L. le, Lee, E., Lejbkowicz, F., Li, L., Lindblom, A., Lindstrom, S., Linet, M., Lissowska, J., W.Y. lo, Loibl, S., Lubinski, J., Lux, M.P., MacInnis, R.J., Maierthaler, M., Maishman, T., Makalic, E., Mannermaa, A., Manoochehri, M., Manoukian, S., Margolin, S., Martinez, M.E., Mavroudis, D., McLean, C., Meindl, A., Middha, P., Miller, N., Milne, R.L., Moreno, F., Mulligan, A.M., Mulot, C., Nassir, R., Neuhausen, S.L., Newman, W.T., Nielsen, S.F., Nordestgaard, B.G., Norman, A., Olsson, H., Orr, N., Pankratz, V.S., Park-Simon, T.W., Perez, J.I.A., Perez-Barrios, C., Peterlongo, P., Petridis, C., Pinchev, M., Prajzendanc, K., Prentice, R., Presneau, N., Prokofieva, D., Pylkas, K., Rack, B., Radice, P., Ramachandran, D., Rennert, G., Rennert, H.S., Rhenius, V., Romero, A., Roylance, R., Saloustros, E., Sawyer, E.J., Schmidt, D.F., Schmutzler, R.K., Schneeweiss, A., Schoemaker, M.J., Schumacher, F., Schwentner, L., Scott, R.J., Scott, C., Seynaeve, C., Shah, M., Simard, J., Smeets, A., Sohn, C., Southey, M.C., Swerdlow, A.J., Talhouk, A., Tamimi, R.M., Tapper, W.J., Teixeira, M.R., Tengstrom, M., Terry, M.B., Thone, K., Tollenaar, R.A.E.M., Tomlinson, I., Torres, D., Truong, T., Turman, C., Turnbull, C., Ulmer, H.U., Untch, M., Vachon, C., Asperen, C.J. van, Ouweland, A.M.W. van den, Veen, E.M. van, Wendt, C., Whittemore, A.S., Willett, W., Winqvist, R., Wolk, A., Yang, X.R., Zhang, Y., Easton, D.F., Fasching, P.A., Nevanlinna, H., Eccles, D.M., Pharoah, P.D.P., Schmidt, M.K., and NBCS Collaborators

Abstract

BACKGROUND: We examined the associations between germline variants and breast cancer mortality using a large meta-analysis of women of European ancestry.METHODS: Meta-analyses included summary estimates based on Cox models of twelve datasets using similar to 10.4 million variants for 96,661 women with breast cancer and 7697 events (breast cancer-specific deaths). Oestrogen receptor (ER)-specific analyses were based on 64,171 ER-positive (4116) and 16,172 ER-negative (2125) patients. We evaluated the probability of a signal to be a true positive using the Bayesian false discovery probability (BFDP).RESULTS: We did not find any variant associated with breast cancer-specific mortality at P

Published
2019

2. Genome-wide association study of germline variants and breast cancer-specific mortality

Author

Escala-Garcia, M. (Maria), Guo, Q. (Qi), Doerk, T. (Thilo), Canisius, S. (Sander), Keeman, R. (Renske), Dennis, J. (Joe), Beesley, J. (Jonathan), Lecarpentier, J. (Julie), Bolla, M. K. (Manjeet K.), Wang, Q. (Qin), Abraham, J. (Jean), Andrulis, I. L. (Irene L.), Anton-Culver, H. (Hoda), Arndt, V. (Volker), Auer, P. L. (Paul L.), Beckmann, M. W. (Matthias W.), Behrens, S. (Sabine), Benitez, J. (Javier), Bermisheva, M. (Marina), Bernstein, L. (Leslie), Blomqvist, C. (Carl), Boeckx, B. (Bram), Bojesen, S. E. (Stig E.), Bonanni, B. (Bernardo), Borresen-Dale, A.-L. (Anne-Lise), Brauch, H. (Hiltrud), Brenner, H. (Hermann), Brentnall, A. (Adam), Brinton, L. (Louise), Broberg, P. (Per), Brock, I. W. (Ian W.), Brucker, S. Y. (Sara Y.), Burwinkel, B. (Barbara), Caldas, C. (Carlos), Caldes, T. (Trinidad), Campa, D. (Daniele), Canzian, F. (Federico), Carracedo, A. (Angel), Carter, B. D. (Brian D.), Castelao, J. E. (Jose E.), Chang-Claude, J. (Jenny), Chanock, S. J. (Stephen J.), Chenevix-Trench, G. (Georgia), Cheng, T. D. (Ting-Yuan David), Chin, S.-F. (Suet-Feung), Clarke, C. L. (Christine L.), Cordina-Duverger, E. (Emilie), Couch, F. J. (Fergus J.), Cox, D. G. (David G.), Cox, A. (Angela), Cross, S. S. (Simon S.), Czene, K. (Kamila), Daly, M. B. (Mary B.), Devilee, P. (Peter), Dunn, J. A. (Janet A.), Dunning, A. M. (Alison M.), Durcan, L. (Lorraine), Dwek, M. (Miriam), Earl, H. M. (Helena M.), Ekici, A. B. (Arif B.), Eliassen, A. H. (A. Heather), Ellberg, C. (Carolina), Engel, C. (Christoph), Eriksson, M. (Mikael), Evans, D. G. (D. Gareth), Figueroa, J. (Jonine), Flesch-Janys, D. (Dieter), Flyger, H. (Henrik), Gabrielson, M. (Marike), Gago-Dominguez, M. (Manuela), Galle, E. (Eva), Gapstur, S. M. (Susan M.), Garcia-Closas, M. (Montserrat), Garcia-Saenz, J. A. (Jose A.), Gaudet, M. M. (Mia M.), George, A. (Angela), Georgoulias, V. (Vassilios), Giles, G. G. (Graham G.), Glendon, G. (Gord), Goldgar, D. E. (David E.), Gonzalez-Neira, A. (Anna), Alnaes, G. I. (Grethe I. Grenaker), Grip, M. (Mervi), Guenel, P. (Pascal), Haeberle, L. (Lothar), Hahnen, E. (Eric), Haiman, C. A. (Christopher A.), Hakansson, N. (Niclas), Hall, P. (Per), Hamann, U. (Ute), Hankinson, S. (Susan), Harkness, E. F. (Elaine F.), Harrington, P. A. (Patricia A.), Hart, S. N. (Steven N.), Hartikainen, J. M. (Jaana M.), Hein, A. (Alexander), Hillemanns, P. (Peter), Hiller, L. (Louise), Holleczek, B. (Bernd), Hollestelle, A. (Antoinette), Hooning, M. J. (Maartje J.), Hoover, R. N. (Robert N.), Hopper, J. L. (John L.), Howell, A. (Anthony), Huang, G. (Guanmengqian), Humphreys, K. (Keith), Hunter, D. J. (David J.), Janni, W. (Wolfgang), John, E. M. (Esther M.), Jones, M. E. (Michael E.), Jukkola-Vuorinen, A. (Arja), Jung, A. (Audrey), Kaaks, R. (Rudolf), Kabisch, M. (Maria), Kaczmarek, K. (Katarzyna), Kerin, M. J. (Michael J.), Khan, S. (Sofia), Khusnutdinova, E. (Elza), Kiiski, J. I. (Johanna, I), Kitahara, C. M. (Cari M.), Knight, J. A. (Julia A.), Ko, Y.-D. (Yon-Dschun), Koppert, L. B. (Linetta B.), Kosma, V.-M. (Veli-Matti), Kraft, P. (Peter), Kristensen, V. N. (Vessela N.), Kruger, U. (Ute), Kuehl, T. (Tabea), Lambrechts, D. (Diether), Le Marchand, L. (Loic), Lee, E. (Eunjung), Lejbkowicz, F. (Flavio), Li, L. (Lian), Lindblom, A. (Annika), Lindstrom, S. (Sara), Linet, M. (Martha), Lissowska, J. (Jolanta), Lo, W.-Y. (Wing-Yee), Loibl, S. (Sibylle), Lubinski, J. (Jan), Lux, M. P. (Michael P.), MacInnis, R. J. (Robert J.), Maierthaler, M. (Melanie), Maishman, T. (Tom), Makalic, E. (Enes), Mannermaa, A. (Arto), Manoochehri, M. (Mehdi), Manoukian, S. (Siranoush), Margolin, S. (Sara), Martinez, M. E. (Maria Elena), Mavroudis, D. (Dimitrios), McLean, C. (Catriona), Meindl, A. (Alfons), Middha, P. (Pooja), Miller, N. (Nicola), Milne, R. L. (Roger L.), Moreno, F. (Fernando), Mulligan, A. M. (Anna Marie), Mulot, C. (Claire), Nassir, R. (Rami), Neuhausen, S. L. (Susan L.), Newman, W. T. (William T.), Nielsen, S. F. (Sune F.), Nordestgaard, B. G. (Borge G.), Norman, A. (Aaron), Olsson, H. (Hakan), Orr, N. (Nick), Pankratz, V. S. (V. Shane), Park-Simon, T.-W. (Tjoung-Won), Perez, J. I. (Jose I. A.), Perez-Barrios, C. (Clara), Peterlongo, P. (Paolo), Petridis, C. (Christos), Pinchev, M. (Mila), Prajzendanc, K. (Karoliona), Prentice, R. (Ross), Presneau, N. (Nadege), Prokofieva, D. (Darya), Pylkas, K. (Katri), Rack, B. (Brigitte), Radice, P. (Paolo), Ramachandran, D. (Dhanya), Rennert, G. (Gadi), Rennert, H. S. (Hedy S.), Rhenius, V. (Valerie), Romero, A. (Atocha), Roylance, R. (Rebecca), Saloustros, E. (Emmanouil), Sawyer, E. J. (Elinor J.), Schmidt, D. F. (Daniel F.), Schmutzler, R. K. (Rita K.), Schneeweiss, A. (Andreas), Schoemaker, M. J. (Minouk J.), Schumacher, F. (Fredrick), Schwentner, L. (Lukas), Scott, R. J. (Rodney J.), Scott, C. (Christopher), Seynaeve, C. (Caroline), Shah, M. (Mitul), Simard, J. (Jacques), Smeets, A. (Ann), Sohn, C. (Christof), Southey, M. C. (Melissa C.), Swerdlow, A. J. (Anthony J.), Talhouk, A. (Aline), Tamimi, R. M. (Rulla M.), Tapper, W. J. (William J.), Teixeira, M. R. (Manuel R.), Tengstrom, M. (Maria), Terry, M. B. (Mary Beth), Thoene, K. (Kathrin), Tollenaar, R. A. (Rob A. E. M.), Tomlinson, I. (Ian), Torres, D. (Diana), Truong, T. (Therese), Turman, C. (Constance), Turnbull, C. (Clare), Ulmer, H.-U. (Hans-Ulrich), Untch, M. (Michael), Vachon, C. (Celine), van Asperen, C. J. (Christi J.), van den Ouweland, A. M. (Ans M. W.), van Veen, E. M. (Elke M.), Wendt, C. (Camilla), Whittemore, A. S. (Alice S.), Willett, W. (Walter), Winqvist, R. (Robert), Wolk, A. (Alicja), Yang, X. R. (Xiaohong R.), Zhang, Y. (Yan), Easton, D. F. (Douglas F.), Fasching, P. A. (Peter A.), Nevanlinna, H. (Heli), Eccles, D. M. (Diana M.), Pharoah, P. D. (Paul D. P.), and Schmidt, M. K. (Marjanka K.)

Abstract

Background: We examined the associations between germline variants and breast cancer mortality using a large meta-analysis of women of European ancestry. Methods: Meta-analyses included summary estimates based on Cox models of twelve datasets using ~10.4 million variants for 96,661 women with breast cancer and 7697 events (breast cancer-specific deaths). Oestrogen receptor (ER)-specific analyses were based on 64,171 ER-positive (4116) and 16,172 ER-negative (2125) patients. We evaluated the probability of a signal to be a true positive using the Bayesian false discovery probability (BFDP). Results: We did not find any variant associated with breast cancer-specific mortality at P < 5 × 10−8. For ER-positive disease, the most significantly associated variant was chr7:rs4717568 (BFDP = 7%, P = 1.28 × 10−7, hazard ratio [HR] = 0.88, 95% confidence interval [CI] = 0.84–0.92); the closest gene is AUTS2. For ER-negative disease, the most significant variant was chr7:rs67918676 (BFDP = 11%, P = 1.38 × 10−7, HR = 1.27, 95% CI = 1.16–1.39); located within a long intergenic non-coding RNA gene (AC004009.3), close to the HOXA gene cluster. Conclusions: We uncovered germline variants on chromosome 7 at BFDP

Published
2019

4. Genome-wide association study of germline variants and breast cancer-specific mortality.

Author

Garcia-Closas M., Moreno F., Mulligan A.M., Mulot C., Nassir R., Neuhausen S.L., Newman W.T., Nielsen S.F., Nordestgaard B.G., Norman A., Olsson H., Orr N., Pankratz V.S., Park-Simon T.-W., Perez J.I.A., Perez-Barrios C., Peterlongo P., Petridis C., Pinchev M., Prajzendanc K., Prentice R., Presneau N., Prokofieva D., Pylkas K., Rack B., Radice P., Ramachandran D., Rennert G., Rennert H.S., Rhenius V., Romero A., Roylance R., Saloustros E., Sawyer E.J., Schmidt D.F., Schmutzler R.K., Schneeweiss A., Schoemaker M.J., Schumacher F., Schwentner L., Scott R.J., Scott C., Seynaeve C., Shah M., Simard J., Smeets A., Sohn C., Southey M.C., Swerdlow A.J., Talhouk A., Tamimi R.M., Tapper W.J., Teixeira M.R., Tengstrom M., Terry M.B., Thone K., Tollenaar R.A.E.M., Tomlinson I., Torres D., Truong T., Turman C., Turnbull C., Ulmer H.-U., Untch M., Vachon C., van Asperen C.J., van den Ouweland A.M.W., van Veen E.M., Wendt C., Whittemore A.S., Willett W., Winqvist R., Wolk A., Yang X.R., Zhang Y., Easton D.F., Fasching P.A., Nevanlinna H., Eccles D.M., Pharoah P.D.P., Schmidt M.K., Escala-Garcia M., Guo Q., Dork T., Canisius S., Keeman R., Dennis J., Beesley J., Lecarpentier J., Bolla M.K., Wang Q., Abraham J., Andrulis I.L., Anton-Culver H., Arndt V., Auer P.L., Beckmann M.W., Behrens S., Benitez J., Bermisheva M., Bernstein L., Blomqvist C., Boeckx B., Bojesen S.E., Bonanni B., Borresen-Dale A.-L., Brauch H., Brenner H., Brentnall A., Brinton L., Broberg P., Brock I.W., Brucker S.Y., Burwinkel B., Caldas C., Caldes T., Campa D., Canzian F., Carracedo A., Carter B.D., Castelao J.E., Chang-Claude J., Chanock S.J., Chenevix-Trench G., Cheng T.-Y.D., Chin S.-F., Clarke C.L., Cordina-Duverger E., Couch F.J., Cox D.G., Cox A., Cross S.S., Czene K., Daly M.B., Devilee P., Dunn J.A., Dunning A.M., Durcan L., Dwek M., Earl H.M., Ekici A.B., Eliassen A.H., Ellberg C., Engel C., Eriksson M., Evans D.G., Figueroa J., Flesch-Janys D., Flyger H., Gabrielson M., Gago-Dominguez M., Galle E., Gapstur S.M., Garcia-Saenz J.A., Gaudet M.M., George A., Georgoulias V., Giles G.G., Glendon G., Goldgar D.E., Gonzalez-Neira A., Alnaes G.I.G., Grip M., Guenel P., Haeberle L., Hahnen E., Haiman C.A., Hakansson N., Hall P., Hamann U., Hankinson S., Harkness E.F., Harrington P.A., Hart S.N., Hartikainen J.M., Hein A., Hillemanns P., Hiller L., Holleczek B., Hollestelle A., Hooning M.J., Hoover R.N., Hopper J.L., Howell A., Huang G., Humphreys K., Hunter D.J., Janni W., John E.M., Jones M.E., Jukkola-Vuorinen A., Jung A., Kaaks R., Kabisch M., Kaczmarek K., Kerin M.J., Khan S., Khusnutdinova E., Kiiski J.I., Kitahara C.M., Knight J.A., Ko Y.-D., Koppert L.B., Kosma V.-M., Kraft P., Kristensen V.N., Kruger U., Kuhl T., Lambrechts D., Le Marchand L., Lee E., Lejbkowicz F., Li L., Lindblom A., Lindstrom S., Linet M., Lissowska J., Lo W.-Y., Loibl S., Lubinski J., Lux M.P., MacInnis R.J., Maierthaler M., Maishman T., Makalic E., Mannermaa A., Manoochehri M., Manoukian S., Margolin S., Martinez M.E., Mavroudis D., McLean C., Meindl A., Middha P., Miller N., Milne R.L., Garcia-Closas M., Moreno F., Mulligan A.M., Mulot C., Nassir R., Neuhausen S.L., Newman W.T., Nielsen S.F., Nordestgaard B.G., Norman A., Olsson H., Orr N., Pankratz V.S., Park-Simon T.-W., Perez J.I.A., Perez-Barrios C., Peterlongo P., Petridis C., Pinchev M., Prajzendanc K., Prentice R., Presneau N., Prokofieva D., Pylkas K., Rack B., Radice P., Ramachandran D., Rennert G., Rennert H.S., Rhenius V., Romero A., Roylance R., Saloustros E., Sawyer E.J., Schmidt D.F., Schmutzler R.K., Schneeweiss A., Schoemaker M.J., Schumacher F., Schwentner L., Scott R.J., Scott C., Seynaeve C., Shah M., Simard J., Smeets A., Sohn C., Southey M.C., Swerdlow A.J., Talhouk A., Tamimi R.M., Tapper W.J., Teixeira M.R., Tengstrom M., Terry M.B., Thone K., Tollenaar R.A.E.M., Tomlinson I., Torres D., Truong T., Turman C., Turnbull C., Ulmer H.-U., Untch M., Vachon C., van Asperen C.J., van den Ouweland A.M.W., van Veen E.M., Wendt C., Whittemore A.S., Willett W., Winqvist R., Wolk A., Yang X.R., Zhang Y., Easton D.F., Fasching P.A., Nevanlinna H., Eccles D.M., Pharoah P.D.P., Schmidt M.K., Escala-Garcia M., Guo Q., Dork T., Canisius S., Keeman R., Dennis J., Beesley J., Lecarpentier J., Bolla M.K., Wang Q., Abraham J., Andrulis I.L., Anton-Culver H., Arndt V., Auer P.L., Beckmann M.W., Behrens S., Benitez J., Bermisheva M., Bernstein L., Blomqvist C., Boeckx B., Bojesen S.E., Bonanni B., Borresen-Dale A.-L., Brauch H., Brenner H., Brentnall A., Brinton L., Broberg P., Brock I.W., Brucker S.Y., Burwinkel B., Caldas C., Caldes T., Campa D., Canzian F., Carracedo A., Carter B.D., Castelao J.E., Chang-Claude J., Chanock S.J., Chenevix-Trench G., Cheng T.-Y.D., Chin S.-F., Clarke C.L., Cordina-Duverger E., Couch F.J., Cox D.G., Cox A., Cross S.S., Czene K., Daly M.B., Devilee P., Dunn J.A., Dunning A.M., Durcan L., Dwek M., Earl H.M., Ekici A.B., Eliassen A.H., Ellberg C., Engel C., Eriksson M., Evans D.G., Figueroa J., Flesch-Janys D., Flyger H., Gabrielson M., Gago-Dominguez M., Galle E., Gapstur S.M., Garcia-Saenz J.A., Gaudet M.M., George A., Georgoulias V., Giles G.G., Glendon G., Goldgar D.E., Gonzalez-Neira A., Alnaes G.I.G., Grip M., Guenel P., Haeberle L., Hahnen E., Haiman C.A., Hakansson N., Hall P., Hamann U., Hankinson S., Harkness E.F., Harrington P.A., Hart S.N., Hartikainen J.M., Hein A., Hillemanns P., Hiller L., Holleczek B., Hollestelle A., Hooning M.J., Hoover R.N., Hopper J.L., Howell A., Huang G., Humphreys K., Hunter D.J., Janni W., John E.M., Jones M.E., Jukkola-Vuorinen A., Jung A., Kaaks R., Kabisch M., Kaczmarek K., Kerin M.J., Khan S., Khusnutdinova E., Kiiski J.I., Kitahara C.M., Knight J.A., Ko Y.-D., Koppert L.B., Kosma V.-M., Kraft P., Kristensen V.N., Kruger U., Kuhl T., Lambrechts D., Le Marchand L., Lee E., Lejbkowicz F., Li L., Lindblom A., Lindstrom S., Linet M., Lissowska J., Lo W.-Y., Loibl S., Lubinski J., Lux M.P., MacInnis R.J., Maierthaler M., Maishman T., Makalic E., Mannermaa A., Manoochehri M., Manoukian S., Margolin S., Martinez M.E., Mavroudis D., McLean C., Meindl A., Middha P., Miller N., and Milne R.L.

Abstract

Background: We examined the associations between germline variants and breast cancer mortality using a large meta-analysis of women of European ancestry. Method(s): Meta-analyses included summary estimates based on Cox models of twelve datasets using ~10.4 million variants for 96,661 women with breast cancer and 7697 events (breast cancer-specific deaths). Oestrogen receptor (ER)-specific analyses were based on 64,171 ER-positive (4116) and 16,172 ER-negative (2125) patients. We evaluated the probability of a signal to be a true positive using the Bayesian false discovery probability (BFDP). Result(s): We did not find any variant associated with breast cancer-specific mortality at P < 5 x 10-8. For ER-positive disease, the most significantly associated variant was chr7:rs4717568 (BFDP = 7%, P = 1.28 x 10-7, hazard ratio [HR] = 0.88, 95% confidence interval [CI] = 0.84-0.92); the closest gene is AUTS2. For ER-negative disease, the most significant variant was chr7:rs67918676 (BFDP = 11%, P = 1.38 x 10-7, HR = 1.27, 95% CI = 1.16-1.39); located within a long intergenic non-coding RNA gene (AC004009.3), close to the HOXA gene cluster. Conclusion(s): We uncovered germline variants on chromosome 7 at BFDP < 15% close to genes for which there is biological evidence related to breast cancer outcome. However, the paucity of variants associated with mortality at genome-wide significance underpins the challenge in providing genetic-based individualised prognostic information for breast cancer patients.Copyright © 2019, The Author(s).

Published
2019

5. Genome-wide association study of germline variants and breast cancer-specific mortality

Author

Escala-Garcia, M, Guo, Q, Doerk, T, Canisius, S, Keeman, R, Dennis, J, Beesley, J, Lecarpentier, J, Bolla, MK, Wang, Q, Abraham, J, Andrulis, IL, Anton-Culver, H, Arndt, V, Auer, PL, Beckmann, MW, Behrens, S, Benitez, J, Bermisheva, M, Bernstein, L, Blomqvist, C, Boeckx, B, Bojesen, SE, Bonanni, B, Borresen-Dale, A-L, Brauch, H, Brenner, H, Brentnall, A, Brinton, L, Broberg, P, Brock, IW, Brucker, SY, Burwinkel, B, Caldas, C, Caldes, T, Campa, D, Canzian, F, Carracedo, A, Carter, BD, Castelao, JE, Chang-Claude, J, Chanock, SJ, Chenevix-Trench, G, Cheng, T-YD, Chin, S-F, Clarke, CL, Cordina-Duverger, E, Couch, FJ, Cox, DG, Cox, A, Cross, SS, Czene, K, Daly, MB, Devilee, P, Dunn, JA, Dunning, AM, Durcan, L, Dwek, M, Earl, HM, Ekici, AB, Eliassen, AH, Ellberg, C, Engel, C, Eriksson, M, Evans, DG, Figueroa, J, Flesch-Janys, D, Flyger, H, Gabrielson, M, Gago-Dominguez, M, Galle, E, Gapstur, SM, Garcia-Closas, M, Garcia-Saenz, JA, Gaudet, MM, George, A, Georgoulias, V, Giles, GG, Glendon, G, Goldgar, DE, Gonzalez-Neira, A, Alnaes, GIG, Grip, M, Guenel, P, Haeberle, L, Hahnen, E, Haiman, CA, Hakansson, N, Hall, P, Hamann, U, Hankinson, S, Harkness, EF, Harrington, PA, Hart, SN, Hartikainen, JM, Hein, A, Hillemanns, P, Hiller, L, Holleczek, B, Hollestelle, A, Hooning, MJ, Hoover, RN, Hopper, JL, Howell, A, Huang, G, Humphreys, K, Hunter, DJ, Janni, W, John, EM, Jones, ME, Jukkola-Vuorinen, A, Jung, A, Kaaks, R, Kabisch, M, Kaczmarek, K, Kerin, MJ, Khan, S, Khusnutdinova, E, Kiiski, J, Kitahara, CM, Knight, JA, Ko, Y-D, Koppert, LB, Kosma, V-M, Kraft, P, Kristensen, VN, Kruger, U, Kuehl, T, Lambrechts, D, Le Marchand, L, Lee, E, Lejbkowicz, F, Li, L, Lindblom, A, Lindstrom, S, Linet, M, Lissowska, J, Lo, W-Y, Loibl, S, Lubinski, J, Lux, MP, MacInnis, RJ, Maierthaler, M, Maishman, T, Makalic, E, Mannermaa, A, Manoochehri, M, Manoukian, S, Margolin, S, Martinez, ME, Mavroudis, D, McLean, C, Meindl, A, Middha, P, Miller, N, Milne, RL, Moreno, F, Mulligan, AM, Mulot, C, Nassir, R, Neuhausen, SL, Newman, WT, Nielsen, SF, Nordestgaard, BG, Norman, A, Olsson, H, Orr, N, Pankratz, VS, Park-Simon, T-W, Perez, JIA, Perez-Barrios, C, Peterlongo, P, Petridis, C, Pinchev, M, Prajzendanc, K, Prentice, R, Presneau, N, Prokofieva, D, Pylkas, K, Rack, B, Radice, P, Ramachandran, D, Rennert, G, Rennert, HS, Rhenius, V, Romero, A, Roylance, R, Saloustros, E, Sawyer, EJ, Schmidt, DF, Schmutzler, RK, Schneeweiss, A, Schoemaker, MJ, Schumacher, F, Schwentner, L, Scott, RJ, Scott, C, Seynaeve, C, Shah, M, Simard, J, Smeets, A, Sohn, C, Southey, MC, Swerdlow, AJ, Talhouk, A, Tamimi, RM, Tapper, WJ, Teixeira, MR, Tengstrom, M, Terry, MB, Thoene, K, Tollenaar, RAEM, Tomlinson, I, Torres, D, Truong, T, Turman, C, Turnbull, C, Ulmer, H-U, Untch, M, Vachon, C, van Asperen, CJ, van den Ouweland, AMW, van Veen, EM, Wendt, C, Whittemore, AS, Willett, W, Winqvist, R, Wolk, A, Yang, XR, Zhang, Y, Easton, DF, Fasching, PA, Nevanlinna, H, Eccles, DM, Pharoah, PDP, Schmidt, MK, Escala-Garcia, M, Guo, Q, Doerk, T, Canisius, S, Keeman, R, Dennis, J, Beesley, J, Lecarpentier, J, Bolla, MK, Wang, Q, Abraham, J, Andrulis, IL, Anton-Culver, H, Arndt, V, Auer, PL, Beckmann, MW, Behrens, S, Benitez, J, Bermisheva, M, Bernstein, L, Blomqvist, C, Boeckx, B, Bojesen, SE, Bonanni, B, Borresen-Dale, A-L, Brauch, H, Brenner, H, Brentnall, A, Brinton, L, Broberg, P, Brock, IW, Brucker, SY, Burwinkel, B, Caldas, C, Caldes, T, Campa, D, Canzian, F, Carracedo, A, Carter, BD, Castelao, JE, Chang-Claude, J, Chanock, SJ, Chenevix-Trench, G, Cheng, T-YD, Chin, S-F, Clarke, CL, Cordina-Duverger, E, Couch, FJ, Cox, DG, Cox, A, Cross, SS, Czene, K, Daly, MB, Devilee, P, Dunn, JA, Dunning, AM, Durcan, L, Dwek, M, Earl, HM, Ekici, AB, Eliassen, AH, Ellberg, C, Engel, C, Eriksson, M, Evans, DG, Figueroa, J, Flesch-Janys, D, Flyger, H, Gabrielson, M, Gago-Dominguez, M, Galle, E, Gapstur, SM, Garcia-Closas, M, Garcia-Saenz, JA, Gaudet, MM, George, A, Georgoulias, V, Giles, GG, Glendon, G, Goldgar, DE, Gonzalez-Neira, A, Alnaes, GIG, Grip, M, Guenel, P, Haeberle, L, Hahnen, E, Haiman, CA, Hakansson, N, Hall, P, Hamann, U, Hankinson, S, Harkness, EF, Harrington, PA, Hart, SN, Hartikainen, JM, Hein, A, Hillemanns, P, Hiller, L, Holleczek, B, Hollestelle, A, Hooning, MJ, Hoover, RN, Hopper, JL, Howell, A, Huang, G, Humphreys, K, Hunter, DJ, Janni, W, John, EM, Jones, ME, Jukkola-Vuorinen, A, Jung, A, Kaaks, R, Kabisch, M, Kaczmarek, K, Kerin, MJ, Khan, S, Khusnutdinova, E, Kiiski, J, Kitahara, CM, Knight, JA, Ko, Y-D, Koppert, LB, Kosma, V-M, Kraft, P, Kristensen, VN, Kruger, U, Kuehl, T, Lambrechts, D, Le Marchand, L, Lee, E, Lejbkowicz, F, Li, L, Lindblom, A, Lindstrom, S, Linet, M, Lissowska, J, Lo, W-Y, Loibl, S, Lubinski, J, Lux, MP, MacInnis, RJ, Maierthaler, M, Maishman, T, Makalic, E, Mannermaa, A, Manoochehri, M, Manoukian, S, Margolin, S, Martinez, ME, Mavroudis, D, McLean, C, Meindl, A, Middha, P, Miller, N, Milne, RL, Moreno, F, Mulligan, AM, Mulot, C, Nassir, R, Neuhausen, SL, Newman, WT, Nielsen, SF, Nordestgaard, BG, Norman, A, Olsson, H, Orr, N, Pankratz, VS, Park-Simon, T-W, Perez, JIA, Perez-Barrios, C, Peterlongo, P, Petridis, C, Pinchev, M, Prajzendanc, K, Prentice, R, Presneau, N, Prokofieva, D, Pylkas, K, Rack, B, Radice, P, Ramachandran, D, Rennert, G, Rennert, HS, Rhenius, V, Romero, A, Roylance, R, Saloustros, E, Sawyer, EJ, Schmidt, DF, Schmutzler, RK, Schneeweiss, A, Schoemaker, MJ, Schumacher, F, Schwentner, L, Scott, RJ, Scott, C, Seynaeve, C, Shah, M, Simard, J, Smeets, A, Sohn, C, Southey, MC, Swerdlow, AJ, Talhouk, A, Tamimi, RM, Tapper, WJ, Teixeira, MR, Tengstrom, M, Terry, MB, Thoene, K, Tollenaar, RAEM, Tomlinson, I, Torres, D, Truong, T, Turman, C, Turnbull, C, Ulmer, H-U, Untch, M, Vachon, C, van Asperen, CJ, van den Ouweland, AMW, van Veen, EM, Wendt, C, Whittemore, AS, Willett, W, Winqvist, R, Wolk, A, Yang, XR, Zhang, Y, Easton, DF, Fasching, PA, Nevanlinna, H, Eccles, DM, Pharoah, PDP, and Schmidt, MK

Abstract

BACKGROUND: We examined the associations between germline variants and breast cancer mortality using a large meta-analysis of women of European ancestry. METHODS: Meta-analyses included summary estimates based on Cox models of twelve datasets using ~10.4 million variants for 96,661 women with breast cancer and 7697 events (breast cancer-specific deaths). Oestrogen receptor (ER)-specific analyses were based on 64,171 ER-positive (4116) and 16,172 ER-negative (2125) patients. We evaluated the probability of a signal to be a true positive using the Bayesian false discovery probability (BFDP). RESULTS: We did not find any variant associated with breast cancer-specific mortality at P < 5 × 10-8. For ER-positive disease, the most significantly associated variant was chr7:rs4717568 (BFDP = 7%, P = 1.28 × 10-7, hazard ratio [HR] = 0.88, 95% confidence interval [CI] = 0.84-0.92); the closest gene is AUTS2. For ER-negative disease, the most significant variant was chr7:rs67918676 (BFDP = 11%, P = 1.38 × 10-7, HR = 1.27, 95% CI = 1.16-1.39); located within a long intergenic non-coding RNA gene (AC004009.3), close to the HOXA gene cluster. CONCLUSIONS: We uncovered germline variants on chromosome 7 at BFDP < 15% close to genes for which there is biological evidence related to breast cancer outcome. However, the paucity of variants associated with mortality at genome-wide significance underpins the challenge in providing genetic-based individualised prognostic information for breast cancer patients.

Published
2019

6. A novel CpG panel is independently associated with colorectal cancer survival

Author

Jia, M., primary, Zhang, Y., additional, Jansen, L., additional, Walter, V., additional, Edelmann, D., additional, Maierthaler, M., additional, Tagscherer, K., additional, Roth, W., additional, Bewerunge-Hudler, M., additional, Herpel, E., additional, Kloor, M., additional, Ulrich, A., additional, Burwinkel, B., additional, Bläker, H., additional, Chang-Claude, J., additional, Brenner, H., additional, and Hoffmeister, M., additional

Published
2017
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10. Genome-wide association study of germline variants and breast cancer-specific mortality.

Author

Escala-Garcia M, Guo Q, Dörk T, Canisius S, Keeman R, Dennis J, Beesley J, Lecarpentier J, Bolla MK, Wang Q, Abraham J, Andrulis IL, Anton-Culver H, Arndt V, Auer PL, Beckmann MW, Behrens S, Benitez J, Bermisheva M, Bernstein L, Blomqvist C, Boeckx B, Bojesen SE, Bonanni B, Børresen-Dale AL, Brauch H, Brenner H, Brentnall A, Brinton L, Broberg P, Brock IW, Brucker SY, Burwinkel B, Caldas C, Caldés T, Campa D, Canzian F, Carracedo A, Carter BD, Castelao JE, Chang-Claude J, Chanock SJ, Chenevix-Trench G, Cheng TD, Chin SF, Clarke CL, Cordina-Duverger E, Couch FJ, Cox DG, Cox A, Cross SS, Czene K, Daly MB, Devilee P, Dunn JA, Dunning AM, Durcan L, Dwek M, Earl HM, Ekici AB, Eliassen AH, Ellberg C, Engel C, Eriksson M, Evans DG, Figueroa J, Flesch-Janys D, Flyger H, Gabrielson M, Gago-Dominguez M, Galle E, Gapstur SM, García-Closas M, García-Sáenz JA, Gaudet MM, George A, Georgoulias V, Giles GG, Glendon G, Goldgar DE, González-Neira A, Alnæs GIG, Grip M, Guénel P, Haeberle L, Hahnen E, Haiman CA, Håkansson N, Hall P, Hamann U, Hankinson S, Harkness EF, Harrington PA, Hart SN, Hartikainen JM, Hein A, Hillemanns P, Hiller L, Holleczek B, Hollestelle A, Hooning MJ, Hoover RN, Hopper JL, Howell A, Huang G, Humphreys K, Hunter DJ, Janni W, John EM, Jones ME, Jukkola-Vuorinen A, Jung A, Kaaks R, Kabisch M, Kaczmarek K, Kerin MJ, Khan S, Khusnutdinova E, Kiiski JI, Kitahara CM, Knight JA, Ko YD, Koppert LB, Kosma VM, Kraft P, Kristensen VN, Krüger U, Kühl T, Lambrechts D, Le Marchand L, Lee E, Lejbkowicz F, Li L, Lindblom A, Lindström S, Linet M, Lissowska J, Lo WY, Loibl S, Lubiński J, Lux MP, MacInnis RJ, Maierthaler M, Maishman T, Makalic E, Mannermaa A, Manoochehri M, Manoukian S, Margolin S, Martinez ME, Mavroudis D, McLean C, Meindl A, Middha P, Miller N, Milne RL, Moreno F, Mulligan AM, Mulot C, Nassir R, Neuhausen SL, Newman WT, Nielsen SF, Nordestgaard BG, Norman A, Olsson H, Orr N, Pankratz VS, Park-Simon TW, Perez JIA, Pérez-Barrios C, Peterlongo P, Petridis C, Pinchev M, Prajzendanc K, Prentice R, Presneau N, Prokofieva D, Pylkäs K, Rack B, Radice P, Ramachandran D, Rennert G, Rennert HS, Rhenius V, Romero A, Roylance R, Saloustros E, Sawyer EJ, Schmidt DF, Schmutzler RK, Schneeweiss A, Schoemaker MJ, Schumacher F, Schwentner L, Scott RJ, Scott C, Seynaeve C, Shah M, Simard J, Smeets A, Sohn C, Southey MC, Swerdlow AJ, Talhouk A, Tamimi RM, Tapper WJ, Teixeira MR, Tengström M, Terry MB, Thöne K, Tollenaar RAEM, Tomlinson I, Torres D, Truong T, Turman C, Turnbull C, Ulmer HU, Untch M, Vachon C, van Asperen CJ, van den Ouweland AMW, van Veen EM, Wendt C, Whittemore AS, Willett W, Winqvist R, Wolk A, Yang XR, Zhang Y, Easton DF, Fasching PA, Nevanlinna H, Eccles DM, Pharoah PDP, and Schmidt MK

Subjects
Bayes Theorem, Breast Neoplasms metabolism, Chromosomes, Human, Pair 7, Female, Genetic Variation, Genome-Wide Association Study, Humans, Prognosis, Proportional Hazards Models, Receptors, Estrogen genetics, Receptors, Estrogen metabolism, White People genetics, Breast Neoplasms genetics, Breast Neoplasms mortality
Abstract

Background: We examined the associations between germline variants and breast cancer mortality using a large meta-analysis of women of European ancestry., Methods: Meta-analyses included summary estimates based on Cox models of twelve datasets using ~10.4 million variants for 96,661 women with breast cancer and 7697 events (breast cancer-specific deaths). Oestrogen receptor (ER)-specific analyses were based on 64,171 ER-positive (4116) and 16,172 ER-negative (2125) patients. We evaluated the probability of a signal to be a true positive using the Bayesian false discovery probability (BFDP)., Results: We did not find any variant associated with breast cancer-specific mortality at P < 5 × 10 -8 . For ER-positive disease, the most significantly associated variant was chr7:rs4717568 (BFDP = 7%, P = 1.28 × 10 -7 , hazard ratio [HR] = 0.88, 95% confidence interval [CI] = 0.84-0.92); the closest gene is AUTS2. For ER-negative disease, the most significant variant was chr7:rs67918676 (BFDP = 11%, P = 1.38 × 10 -7 , HR = 1.27, 95% CI = 1.16-1.39); located within a long intergenic non-coding RNA gene (AC004009.3), close to the HOXA gene cluster., Conclusions: We uncovered germline variants on chromosome 7 at BFDP < 15% close to genes for which there is biological evidence related to breast cancer outcome. However, the paucity of variants associated with mortality at genome-wide significance underpins the challenge in providing genetic-based individualised prognostic information for breast cancer patients.

Published
2019
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11. Plasma miR-122 and miR-200 family are prognostic markers in colorectal cancer.

Author

Maierthaler M, Benner A, Hoffmeister M, Surowy H, Jansen L, Knebel P, Chang-Claude J, Brenner H, and Burwinkel B

Subjects
Adult, Aged, Aged, 80 and over, Case-Control Studies, Female, Germany, Humans, Male, Middle Aged, Multigene Family, Neoplasm Metastasis, Prognosis, Survival Analysis, Biomarkers, Tumor genetics, Colorectal Neoplasms genetics, Colorectal Neoplasms pathology, MicroRNAs blood
Abstract

Circulating microRNAs (miRNAs) have been proposed as minimally invasive prognostic markers for various types of cancers, including colorectal cancer (CRC), the third most diagnosed cancer worldwide. We aimed to evaluate the levels of circulating miRNAs that might serve as markers for CRC prognosis and survival. We included plasma samples of 543 CRC patients with stage I-IV disease from a population-based study carried out in Germany. After comprehensive evaluation of current literature, 95 miRNAs were selected and measured with Custom TaqMan® Array MicroRNA Cards. Plasma samples of non-metastatic and metastatic colon cancer patients, each group consisting of ten patients with 'good' and ten patients with 'bad' prognosis were screened. Identified candidate miRNAs were further validated by RT-qPCR in the whole study cohort. The association of the miRNA levels with patients' survival and the prognostic subtypes was analyzed with uni- and multivariate logistic regression and Cox proportional hazards regression models. Increased miR-122 levels were associated with a 'bad' prognostic subtype in metastatic CRC (Odds ratio: 1.563, 95% confidence interval (CI): 1.038-2.347) and a shorter relapse-free survival and overall survival for non-metastatic (Hazard ratio (HR): 1.370, 95% CI: 1.028-1.825; HR: 1.353, 95% CI: 1.002-1.828) and metastatic (HR: 1.264, 95% CI: 1.050-1.520; HR: 1.292, 95% CI: 1.078-1.548) CRC patients. Additionally, several members of the miR-200 family showed associations with patients' prognosis and correlations to clinicopathological characteristics. The here identified miRNA markers, miR-122 and the miR-200 family members, could be of use in the development of a multi-marker blood test for CRC prognosis., (© 2016 UICC.)

Published
2017
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12. S100P and HYAL2 as prognostic markers for patients with triple-negative breast cancer.

Author

Maierthaler M, Kriegsmann M, Peng C, Jauch S, Szabo A, Wallwiener M, Rom J, Sohn C, Schneeweiss A, Sinn HP, Yang R, and Burwinkel B

Subjects
Biomarkers, Tumor genetics, Calcium-Binding Proteins genetics, Cell Adhesion Molecules genetics, Cohort Studies, Disease-Free Survival, Female, Follow-Up Studies, GPI-Linked Proteins genetics, GPI-Linked Proteins metabolism, Gene Expression Regulation, Neoplastic, Humans, Hyaluronoglucosaminidase genetics, Immunohistochemistry, Middle Aged, Neoplasm Proteins genetics, Prognosis, Proportional Hazards Models, Triple Negative Breast Neoplasms diagnosis, Triple Negative Breast Neoplasms therapy, Biomarkers, Tumor metabolism, Calcium-Binding Proteins metabolism, Cell Adhesion Molecules metabolism, Hyaluronoglucosaminidase metabolism, Neoplasm Proteins metabolism, Triple Negative Breast Neoplasms genetics
Abstract

Triple-negative breast cancer (TNBC) is a group of very aggressive breast tumours, characterised by lack of expression of oestrogen receptor (ER), progesterone receptor (PR) and erb-b2 receptor tyrosine kinase 2 (ERBB2/HER2). Nevertheless, TNBCs show different clinical characteristics and are very diverse regarding prognostic outcome. So far, only a few prognostic markers for TNBC have been reported that could be helpful for therapeutic stratification. Here we have analysed the expression of S100P and HYAL2 using immunohistochemistry (IHC) in a TNBC cohort of 98 patients with a follow-up for recurrence and death. TNBC patients with high expression of both proteins showed significantly shorter progression-free survival (PFS) (mean PFS=35.9months, P=0.001) compared to TNBC patients with high expression levels of only one of the proteins (mean PFS=69.4months) and to TNBC patients with low expression of both proteins (mean PFS=83.3months). Moreover, multivariate Cox-regression model showed the combined expression of S100P and HYAL2 as independent prognostic factor for PFS (P=0.001). The expression of S100P and HYAL2 indicated similar prognostic effect to the overall survival (OS) of TNBC patients. In addition, high expression levels of both S100P and HYAL2 showed significant association with different clinicopathological characteristics, such as more recurrence events (P=0.004), and higher occurrence of metastasis (P=0.002). Our study proposes S100P and HYAL2 as potential prognostic markers for TNBC., (Copyright © 2015 Elsevier Inc. All rights reserved.)

Published
2015
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