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2. Aberrant p53 immunostaining patterns in breast carcinoma of no special type strongly correlate with presence and type of TP53 mutations

Author

Armbruster, Hannes, Schotte, Tilman, Götting, Isabell, Overkamp, Mathis, Granai, Massimo, Volmer, Lea Louise, Bahlinger, Veronika, Matovina, Sabine, Koch, André, Dannehl, Dominik, Engler, Tobias, Hartkopf, Andreas D., Brucker, Sara Y., Bonzheim, Irina, Fend, Falko, Staebler, Annette, and Montes-Mojarro, Ivonne

Published
2024
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3. Radiotherapy statements of the 18th St. Gallen International Breast Cancer Consensus Conference—a German expert perspective

Author

Krug, David, Banys-Paluchowski, Maggie, Brucker, Sara Y., Denkert, Carsten, Ditsch, Nina, Fasching, Peter A., Haidinger, Renate, Harbeck, Nadia, Heil, Jörg, Huober, Jens, Jackisch, Christian, Janni, Wolfgang, Kolberg, Hans-Christian, Loibl, Sibylle, Lüftner, Diana, van Mackelenbergh, Marion, Radosa, Julia C., Reimer, Toralf, Welslau, Manfred, Würstlein, Rachel, Untch, Michael, and Budach, Wilfried

Published
2024
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4. Associations of a Breast Cancer Polygenic Risk Score With Tumor Characteristics and Survival

Author

Lopes Cardozo, Josephine MN, Andrulis, Irene L, Bojesen, Stig E, Dörk, Thilo, Eccles, Diana M, Fasching, Peter A, Hooning, Maartje J, Keeman, Renske, Nevanlinna, Heli, Rutgers, Emiel JT, Easton, Douglas F, Hall, Per, Pharoah, Paul DP, van 't Veer, Laura J, Schmidt, Marjanka K, Ahearn, Thomas U, Anton-Culver, Hoda, Arndt, Volker, Auer, Paul L, Augustinsson, Annelie, Beane Freeman, Laura E, Becher, Heiko, Beckmann, Matthias W, Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Blomqvist, Carl, Bolla, Manjeet K, Bonanni, Bernardo, Boyle, Terry, Brenner, Hermann, Brucker, Sara Y, Brüning, Thomas, Burwinkel, Barbara, Buys, Saundra S, Camp, Nicola J, Canzian, Federico, Cardoso, Fatima, Castelao, Jose E, Cessna, Melissa H, Chan, Tsun L, Chang-Claude, Jenny, Chenevix-Trench, Georgia, Choi, Ji-Yeob, Colonna, Sarah V, Copson, Ellen, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Daly, Mary B, Dennis, Joe, Devilee, Peter, Drukker, Caroline A, Dunning, Alison M, Dwek, Miriam, Eliassen, A Heather, Engel, Christoph, Evans, D Gareth, Figueroa, Jonine D, Fletcher, Olivia, Flyger, Henrik, Gago-Dominguez, Manuela, García-Closas, Montserrat, García-Sáenz, José A, Genkinger, Jeanine, Giles, Graham G, González-Neira, Anna, Guénel, Pascal, Gündert, Melanie, Hahnen, Eric, Haiman, Christopher A, Håkansson, Niclas, Hamann, Ute, Hartman, Mikael, Heemskerk-Gerritsen, Bernadette AM, Hein, Alexander, Ho, Weang-Kee, Hoppe, Reiner, Hopper, John L, Houlston, Richard S, Howell, Anthony, Hunter, David J, Ito, Hidemi, Jakubowska, Anna, Jernström, Helena, John, Esther M, Johnson, Nichola, Jones, Michael E, Joseph, Vijai, Kaaks, Rudolf, Kang, Daehee, Kim, Sung-Won, Kitahara, Cari M, Koppert, Linetta B, Kosma, Veli-Matti, Kraft, Peter, Kristensen, Vessela N, Kubelka-Sabit, Katerina, and Koutros, Stella

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Breast Cancer, Cancer, Good Health and Well Being, Female, Humans, Breast Neoplasms, Risk Factors, Prognosis, Proportional Hazards Models, Breast, Breast Cancer Association Consortium and MINDACT Collaborators, Clinical Sciences, Oncology & Carcinogenesis, Oncology and carcinogenesis
Abstract

PurposeA polygenic risk score (PRS) consisting of 313 common genetic variants (PRS313) is associated with risk of breast cancer and contralateral breast cancer. This study aimed to evaluate the association of the PRS313 with clinicopathologic characteristics of, and survival following, breast cancer.MethodsWomen with invasive breast cancer were included, 98,397 of European ancestry and 12,920 of Asian ancestry, from the Breast Cancer Association Consortium (BCAC), and 683 women from the European MINDACT trial. Associations between PRS313 and clinicopathologic characteristics, including the 70-gene signature for MINDACT, were evaluated using logistic regression analyses. Associations of PRS313 (continuous, per standard deviation) with overall survival (OS) and breast cancer-specific survival (BCSS) were evaluated with Cox regression, adjusted for clinicopathologic characteristics and treatment.ResultsThe PRS313 was associated with more favorable tumor characteristics. In BCAC, increasing PRS313 was associated with lower grade, hormone receptor-positive status, and smaller tumor size. In MINDACT, PRS313 was associated with a low risk 70-gene signature. In European women from BCAC, higher PRS313 was associated with better OS and BCSS: hazard ratio (HR) 0.96 (95% CI, 0.94 to 0.97) and 0.96 (95% CI, 0.94 to 0.98), but the association disappeared after adjustment for clinicopathologic characteristics (and treatment): OS HR, 1.01 (95% CI, 0.98 to 1.05) and BCSS HR, 1.02 (95% CI, 0.98 to 1.07). The results in MINDACT and Asian women from BCAC were consistent.ConclusionAn increased PRS313 is associated with favorable tumor characteristics, but is not independently associated with prognosis. Thus, PRS313 has no role in the clinical management of primary breast cancer at the time of diagnosis. Nevertheless, breast cancer mortality rates will be higher for women with higher PRS313 as increasing PRS313 is associated with an increased risk of disease. This information is crucial for modeling effective stratified screening programs.

Published
2023

5. CCNE1 and survival of patients with tubo‐ovarian high‐grade serous carcinoma: An Ovarian Tumor Tissue Analysis consortium study

Author

Kang, Eun‐Young, Weir, Ashley, Meagher, Nicola S, Farrington, Kyo, Nelson, Gregg S, Ghatage, Prafull, Lee, Cheng‐Han, Riggan, Marjorie J, Bolithon, Adelyn, Popovic, Gordana, Leung, Betty, Tang, Katrina, Lambie, Neil, Millstein, Joshua, Alsop, Jennifer, Anglesio, Michael S, Ataseven, Beyhan, Barlow, Ellen, Beckmann, Matthias W, Berger, Jessica, Bisinotto, Christiani, Bösmüller, Hans, Boros, Jessica, Brand, Alison H, Brooks‐Wilson, Angela, Brucker, Sara Y, Carney, Michael E, Casablanca, Yovanni, Cazorla‐Jiménez, Alicia, Cohen, Paul A, Conrads, Thomas P, Cook, Linda S, Coulson, Penny, Courtney‐Brooks, Madeleine, Cramer, Daniel W, Crowe, Philip, Cunningham, Julie M, Cybulski, Cezary, Darcy, Kathleen M, El‐Bahrawy, Mona A, Elishaev, Esther, Erber, Ramona, Farrell, Rhonda, Fereday, Sian, Fischer, Anna, García, María J, Gayther, Simon A, Gentry‐Maharaj, Aleksandra, Gilks, C Blake, Group, AOCS, Grube, Marcel, Harnett, Paul R, Harrington, Shariska Petersen, Harter, Philipp, Hartmann, Arndt, Hecht, Jonathan L, Heikaus, Sebastian, Hein, Alexander, Heitz, Florian, Hendley, Joy, Hernandez, Brenda Y, Polo, Susanna Hernando, Heublein, Sabine, Hirasawa, Akira, Høgdall, Estrid, Høgdall, Claus K, Horlings, Hugo M, Huntsman, David G, Huzarski, Tomasz, Jewell, Andrea, Jimenez‐Linan, Mercedes, Jones, Michael E, Kaufmann, Scott H, Kennedy, Catherine J, Khabele, Dineo, Kommoss, Felix KF, Kruitwagen, Roy FPM, Lambrechts, Diether, Le, Nhu D, Lener, Marcin, Lester, Jenny, Leung, Yee, Linder, Anna, Loverix, Liselore, Lubiński, Jan, Madan, Rashna, Maxwell, G Larry, Modugno, Francesmary, Neuhausen, Susan L, Olawaiye, Alexander, Olbrecht, Siel, Orsulic, Sandra, Palacios, José, Pearce, Celeste Leigh, Pike, Malcolm C, Quinn, Carmel M, Mohan, Ganendra Raj, Rodríguez‐Antona, Cristina, Ruebner, Matthias, and Ryan, Andy

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Cancer, Clinical Research, Ovarian Cancer, Rare Diseases, 2.1 Biological and endogenous factors, Aetiology, Female, Humans, Ovarian Neoplasms, Transcription Factors, Carcinoma, RNA, Messenger, Cystadenocarcinoma, Serous, Oncogene Proteins, Cyclin E, CCNE1 amplification, cyclin E1 expression, high-grade serous carcinoma, ovarian cancer, prognosis, AOCS Group, Public Health and Health Services, Oncology & Carcinogenesis, Oncology and carcinogenesis, Public health
Abstract

BackgroundCyclin E1 (CCNE1) is a potential predictive marker and therapeutic target in tubo-ovarian high-grade serous carcinoma (HGSC). Smaller studies have revealed unfavorable associations for CCNE1 amplification and CCNE1 overexpression with survival, but to date no large-scale, histotype-specific validation has been performed. The hypothesis was that high-level amplification of CCNE1 and CCNE1 overexpression, as well as a combination of the two, are linked to shorter overall survival in HGSC.MethodsWithin the Ovarian Tumor Tissue Analysis consortium, amplification status and protein level in 3029 HGSC cases and mRNA expression in 2419 samples were investigated.ResultsHigh-level amplification (>8 copies by chromogenic in situ hybridization) was found in 8.6% of HGSC and overexpression (>60% with at least 5% demonstrating strong intensity by immunohistochemistry) was found in 22.4%. CCNE1 high-level amplification and overexpression both were linked to shorter overall survival in multivariate survival analysis adjusted for age and stage, with hazard stratification by study (hazard ratio [HR], 1.26; 95% CI, 1.08-1.47, p = .034, and HR, 1.18; 95% CI, 1.05-1.32, p = .015, respectively). This was also true for cases with combined high-level amplification/overexpression (HR, 1.26; 95% CI, 1.09-1.47, p = .033). CCNE1 mRNA expression was not associated with overall survival (HR, 1.00 per 1-SD increase; 95% CI, 0.94-1.06; p = .58). CCNE1 high-level amplification is mutually exclusive with the presence of germline BRCA1/2 pathogenic variants and shows an inverse association to RB1 loss.ConclusionThis study provides large-scale validation that CCNE1 high-level amplification is associated with shorter survival, supporting its utility as a prognostic biomarker in HGSC.

Published
2023

8. Aggregation tests identify new gene associations with breast cancer in populations with diverse ancestry

Author

Mueller, Stefanie H, Lai, Alvina G, Valkovskaya, Maria, Michailidou, Kyriaki, Bolla, Manjeet K, Wang, Qin, Dennis, Joe, Lush, Michael, Abu-Ful, Zomoruda, Ahearn, Thomas U, Andrulis, Irene L, Anton-Culver, Hoda, Antonenkova, Natalia N, Arndt, Volker, Aronson, Kristan J, Augustinsson, Annelie, Baert, Thais, Freeman, Laura E Beane, Beckmann, Matthias W, Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Blomqvist, Carl, Bogdanova, Natalia V, Bojesen, Stig E, Bonanni, Bernardo, Brenner, Hermann, Brucker, Sara Y, Buys, Saundra S, Castelao, Jose E, Chan, Tsun L, Chang-Claude, Jenny, Chanock, Stephen J, Choi, Ji-Yeob, Chung, Wendy K, Colonna, Sarah V, Cornelissen, Sten, Couch, Fergus J, Czene, Kamila, Daly, Mary B, Devilee, Peter, Dörk, Thilo, Dossus, Laure, Dwek, Miriam, Eccles, Diana M, Ekici, Arif B, Eliassen, A Heather, Engel, Christoph, Evans, D Gareth, Fasching, Peter A, Fletcher, Olivia, Flyger, Henrik, Gago-Dominguez, Manuela, Gao, Yu-Tang, García-Closas, Montserrat, García-Sáenz, José A, Genkinger, Jeanine, Gentry-Maharaj, Aleksandra, Grassmann, Felix, Guénel, Pascal, Gündert, Melanie, Haeberle, Lothar, Hahnen, Eric, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Harkness, Elaine F, Harrington, Patricia A, Hartikainen, Jaana M, Hartman, Mikael, Hein, Alexander, Ho, Weang-Kee, Hooning, Maartje J, Hoppe, Reiner, Hopper, John L, Houlston, Richard S, Howell, Anthony, Hunter, David J, Huo, Dezheng, Ito, Hidemi, Iwasaki, Motoki, Jakubowska, Anna, Janni, Wolfgang, John, Esther M, Jones, Michael E, Jung, Audrey, Kaaks, Rudolf, Kang, Daehee, Khusnutdinova, Elza K, Kim, Sung-Won, Kitahara, Cari M, Koutros, Stella, Kraft, Peter, Kristensen, Vessela N, Kubelka-Sabit, Katerina, Kurian, Allison W, Kwong, Ava, Lacey, James V, Lambrechts, Diether, and Le Marchand, Loic

Subjects
Breast Cancer, Genetics, Clinical Research, Cancer, Aetiology, 2.1 Biological and endogenous factors, Humans, Female, Breast Neoplasms, Genetic Predisposition to Disease, Black People, Genetic Testing, Genome-Wide Association Study, Polymorphism, Single Nucleotide, Formins, Breast cancer susceptibility, Diverse ancestry, Rare variants, Gene regulation, Genome-wide association study, NBCS Collaborators, CTS Consortium, ABCTB Investigators, Clinical Sciences
Abstract

BackgroundLow-frequency variants play an important role in breast cancer (BC) susceptibility. Gene-based methods can increase power by combining multiple variants in the same gene and help identify target genes.MethodsWe evaluated the potential of gene-based aggregation in the Breast Cancer Association Consortium cohorts including 83,471 cases and 59,199 controls. Low-frequency variants were aggregated for individual genes' coding and regulatory regions. Association results in European ancestry samples were compared to single-marker association results in the same cohort. Gene-based associations were also combined in meta-analysis across individuals with European, Asian, African, and Latin American and Hispanic ancestry.ResultsIn European ancestry samples, 14 genes were significantly associated (q

Published
2023

9. Prognostic impact of selection criteria of current adjuvant endocrine therapy trials NATALEE and monarchE in postmenopausal HRpos/HER2neg breast cancer patients treated with upfront letrozole

Author

Fasching, Peter A., Hack, Carolin C., Nabieva, Naiba, Maass, Nicolai, Aktas, Bahriye, Kümmel, Sherko, Thomssen, Christoph, Wolf, Christopher, Kolberg, Hans-Christian, Brucker, Cosima, Janni, Wolfgang, Dall, Peter, Schneeweiss, Andreas, Marme, Frederik, Sütterlin, Marc W., Ruebner, Matthias, Theuser, Anna-Katharin, Kellner, Sara, Hofmann, Nadine M., Böhm, Sybille, Almstedt, Katrin, Lück, Hans-Joachim, Schmatloch, Sabine, Kalder, Matthias, Uleer, Christoph, Jurhasz-Böss, Ingolf, Hanf, Volker, Jackisch, Christian, Müller, Volkmar, Rack, Brigitte, Belleville, Erik, Wallwiener, Diethelm, Rody, Achim, Rauh, Claudia, Bayer, Christian M., Uhrig, Sabrina, Goossens, Chloë, Huebner, Hanna, Brucker, Sara Y., Hein, Alexander, Fehm, Tanja N., and Häberle, Lothar

Published
2024
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13. Mendelian randomisation study of smoking exposure in relation to breast cancer risk

Author

Park, Hanla A, Neumeyer, Sonja, Michailidou, Kyriaki, Bolla, Manjeet K, Wang, Qin, Dennis, Joe, Ahearn, Thomas U, Andrulis, Irene L, Anton-Culver, Hoda, Antonenkova, Natalia N, Arndt, Volker, Aronson, Kristan J, Augustinsson, Annelie, Baten, Adinda, Beane Freeman, Laura E, Becher, Heiko, Beckmann, Matthias W, Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Bogdanova, Natalia V, Bojesen, Stig E, Brauch, Hiltrud, Brenner, Hermann, Brucker, Sara Y, Burwinkel, Barbara, Campa, Daniele, Canzian, Federico, Castelao, Jose E, Chanock, Stephen J, Chenevix-Trench, Georgia, Clarke, Christine L, Conroy, Don M, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Daly, Mary B, Devilee, Peter, Dörk, Thilo, dos-Santos-Silva, Isabel, Dwek, Miriam, Eccles, Diana M, Eliassen, A Heather, Engel, Christoph, Eriksson, Mikael, Evans, D Gareth, Fasching, Peter A, Flyger, Henrik, Fritschi, Lin, García-Closas, Montserrat, García-Sáenz, José A, Gaudet, Mia M, Giles, Graham G, Glendon, Gord, Goldberg, Mark S, Goldgar, David E, González-Neira, Anna, Grip, Mervi, Guénel, Pascal, Hahnen, Eric, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Hamann, Ute, Han, Sileny, Harkness, Elaine F, Hart, Steven N, He, Wei, Heemskerk-Gerritsen, Bernadette AM, Hopper, John L, Hunter, David J, Jager, Agnes, Jakubowska, Anna, John, Esther M, Jung, Audrey, Kaaks, Rudolf, Kapoor, Pooja Middha, Keeman, Renske, Khusnutdinova, Elza, Kitahara, Cari M, Koppert, Linetta B, Koutros, Stella, Kristensen, Vessela N, Kurian, Allison W, Lacey, James, Lambrechts, Diether, Le Marchand, Loic, Lo, Wing-Yee, Lubiński, Jan, Mannermaa, Arto, Manoochehri, Mehdi, Margolin, Sara, Martinez, Maria Elena, Mavroudis, Dimitrios, Meindl, Alfons, Menon, Usha, Milne, Roger L, Muranen, Taru A, and Nevanlinna, Heli

Subjects
Genetics, Cancer, Substance Misuse, Clinical Research, Human Genome, Prevention, Drug Abuse (NIDA only), Breast Cancer, Tobacco, Tobacco Smoke and Health, Aetiology, 2.1 Biological and endogenous factors, Good Health and Well Being, Breast Neoplasms, Case-Control Studies, Cigarette Smoking, Female, Genetic Pleiotropy, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotyping Techniques, Humans, Mendelian Randomization Analysis, Polymorphism, Single Nucleotide, NBCS Collaborators, ABCTB Investigators, kConFab Investigators, Oncology and Carcinogenesis, Public Health and Health Services, Oncology & Carcinogenesis
Abstract

BackgroundDespite a modest association between tobacco smoking and breast cancer risk reported by recent epidemiological studies, it is still equivocal whether smoking is causally related to breast cancer risk.MethodsWe applied Mendelian randomisation (MR) to evaluate a potential causal effect of cigarette smoking on breast cancer risk. Both individual-level data as well as summary statistics for 164 single-nucleotide polymorphisms (SNPs) reported in genome-wide association studies of lifetime smoking index (LSI) or cigarette per day (CPD) were used to obtain MR effect estimates. Data from 108,420 invasive breast cancer cases and 87,681 controls were used for the LSI analysis and for the CPD analysis conducted among ever-smokers from 26,147 cancer cases and 26,072 controls. Sensitivity analyses were conducted to address pleiotropy.ResultsGenetically predicted LSI was associated with increased breast cancer risk (OR 1.18 per SD, 95% CI: 1.07-1.30, P = 0.11 × 10-2), but there was no evidence of association for genetically predicted CPD (OR 1.02, 95% CI: 0.78-1.19, P = 0.85). The sensitivity analyses yielded similar results and showed no strong evidence of pleiotropic effect.ConclusionOur MR study provides supportive evidence for a potential causal association with breast cancer risk for lifetime smoking exposure but not cigarettes per day among smokers.

Published
2021

14. Gemeinsames Positionspapier der onkologisch tätigen Fachgesellschaften der AWMF Ad hoc Kommission Versorgungsstrukturen zu der „Dritten Stellungnahme und Empfehlung der Regierungskommission für eine moderne und bedarfsgerechte Krankenhausversorgung mit grundlegender Reform der Krankenhausvergütung“

Author

Wesselmann, Simone, Albert, Jörg G., Baretton, Gustavo, Bausewein, Claudia, Beckmann, Matthias W., Berlit, Peter, Brucker, Sara Y., Goldbrunner, Roland, Hecker, Erich, Kalff, Jörg C., Kriegmair, Martin, Lang, Stephan, Lohwasser, Stefan, Nothacker, Monika, Randerath, Winfried, Petersen, Cordula, Welzel, Julia, and Wörmann, Bernhard

Published
2023
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15. Functional annotation of the 2q35 breast cancer risk locus implicates a structural variant in influencing activity of a long-range enhancer element

Author

Baxter, Joseph S, Johnson, Nichola, Tomczyk, Katarzyna, Gillespie, Andrea, Maguire, Sarah, Brough, Rachel, Fachal, Laura, Michailidou, Kyriaki, Bolla, Manjeet K, Wang, Qin, Dennis, Joe, Ahearn, Thomas U, Andrulis, Irene L, Anton-Culver, Hoda, Antonenkova, Natalia N, Arndt, Volker, Aronson, Kristan J, Augustinsson, Annelie, Becher, Heiko, Beckmann, Matthias W, Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Bogdanova, Natalia V, Bojesen, Stig E, Brenner, Hermann, Brucker, Sara Y, Cai, Qiuyin, Campa, Daniele, Canzian, Federico, Castelao, Jose E, Chan, Tsun L, Chang-Claude, Jenny, Chanock, Stephen J, Chenevix-Trench, Georgia, Choi, Ji-Yeob, Clarke, Christine L, Collaborators, NBCS, Colonna, Sarah, Conroy, Don M, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Daly, Mary B, Devilee, Peter, Dörk, Thilo, Dossus, Laure, Dwek, Miriam, Eccles, Diana M, Ekici, Arif B, Eliassen, A Heather, Engel, Christoph, Fasching, Peter A, Figueroa, Jonine, Flyger, Henrik, Gago-Dominguez, Manuela, Gao, Chi, García-Closas, Montserrat, García-Sáenz, José A, Ghoussaini, Maya, Giles, Graham G, Goldberg, Mark S, González-Neira, Anna, Guénel, Pascal, Gündert, Melanie, Haeberle, Lothar, Hahnen, Eric, Haiman, Christopher A, Hall, Per, Hamann, Ute, Hartman, Mikael, Hatse, Sigrid, Hauke, Jan, Hollestelle, Antoinette, Hoppe, Reiner, Hopper, John L, Hou, Ming-Feng, Investigators, kConFab, Investigators, ABCTB, Ito, Hidemi, Iwasaki, Motoki, Jager, Agnes, Jakubowska, Anna, Janni, Wolfgang, John, Esther M, Joseph, Vijai, Jung, Audrey, Kaaks, Rudolf, Kang, Daehee, Keeman, Renske, Khusnutdinova, Elza, Kim, Sung-Won, Kosma, Veli-Matti, Kraft, Peter, Kristensen, Vessela N, Kubelka-Sabit, Katerina, Kurian, Allison W, Kwong, Ava, and Lacey, James V

Subjects
Human Genome, Genetics, Cancer, Estrogen, Prevention, Breast Cancer, 2.1 Biological and endogenous factors, Aetiology, Breast Neoplasms, CRISPR-Cas Systems, Cell Line, Chromosome Mapping, Chromosomes, Human, Pair 2, Female, Genetic Association Studies, Genetic Variation, Humans, Insulin-Like Growth Factor Binding Protein 5, Molecular Sequence Annotation, Promoter Regions, Genetic, Risk Factors, Sequence Deletion, NBCS Collaborators, kConFab Investigators, ABCTB Investigators, breast cancer risk, functional annotation, risk locus, Biological Sciences, Medical and Health Sciences, Genetics & Heredity
Abstract

A combination of genetic and functional approaches has identified three independent breast cancer risk loci at 2q35. A recent fine-scale mapping analysis to refine these associations resulted in 1 (signal 1), 5 (signal 2), and 42 (signal 3) credible causal variants at these loci. We used publicly available in silico DNase I and ChIP-seq data with in vitro reporter gene and CRISPR assays to annotate signals 2 and 3. We identified putative regulatory elements that enhanced cell-type-specific transcription from the IGFBP5 promoter at both signals (30- to 40-fold increased expression by the putative regulatory element at signal 2, 2- to 3-fold by the putative regulatory element at signal 3). We further identified one of the five credible causal variants at signal 2, a 1.4 kb deletion (esv3594306), as the likely causal variant; the deletion allele of this variant was associated with an average additional increase in IGFBP5 expression of 1.3-fold (MCF-7) and 2.2-fold (T-47D). We propose a model in which the deletion allele of esv3594306 juxtaposes two transcription factor binding regions (annotated by estrogen receptor alpha ChIP-seq peaks) to generate a single extended regulatory element. This regulatory element increases cell-type-specific expression of the tumor suppressor gene IGFBP5 and, thereby, reduces risk of estrogen receptor-positive breast cancer (odds ratio = 0.77, 95% CI 0.74-0.81, p = 3.1 × 10-31).

Published
2021

16. Adressen

Author

Brucker, Sara Y., primary, Simoes, Elisabeth, additional, Wallwiener, Diethelm, additional, Doubek, Klaus, additional, Scharl, Anton, additional, Bartz-Schmidt, Karl Ulrich, additional, Batra, Anil, additional, Binder, Annette, additional, Birkenfeld, Andreas L., additional, Brucker, Sara Y., additional, Eschweiler, Gerhard W., additional, Fritsche, Louise, additional, Gawaz, Meinrad Paul, additional, Geffroy, Alexandra, additional, Glezerman, Marek, additional, Graf, Joachim, additional, Grischke, Eva-Maria, additional, Gruber, Ines, additional, Hadji, Peyman, additional, Hahn, Markus, additional, Hahn, Sabine, additional, Hamoud, Bashar Haj, additional, Heinecke, Volker, additional, Henes, Jörg, additional, Henes, Melanie, additional, Höller, Alice, additional, Hübner, Stephanie, additional, Juhasz-Böss, Ingolf, additional, Keckstein, Jörg, additional, Kiechle, Marion, additional, Kiesel, Ludwig, additional, Krainick-Strobel, Ute, additional, Krämer, Bernhard, additional, Kusicka, Hildegard, additional, Lawrenz, Barbara, additional, Löffler, Dorina, additional, Mueck, Alfred O., additional, Neis, Felix, additional, Neis, Katrin, additional, Neis, Klaus J., additional, Oppelt, Patricia G., additional, Pecher, Ann-Christin, additional, Pontones, Constanza Anahí, additional, Rall, Kristin Katharina, additional, Reisenauer, Christl, additional, Resmark, Gaby, additional, Schäffeler, Norbert, additional, Schlammerl, Katharina, additional, Schmalfeldt, Barbara, additional, Schöller, Dorit, additional, Solomayer, Erich, additional, Steinmacher, Sahra, additional, Strowitzki, Thomas, additional, Surmann, Hanna, additional, Tavlaki, Elli, additional, Tegeler, Eva J., additional, Thomasius, Friederike, additional, Ulrich, Uwe, additional, Walter, Christina B., additional, Weingärtner, Anna-Lena, additional, Wiesmeier, Isabella, additional, and Zipfel, Stephan, additional

Published
2023
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17. Breast Cancer Risk Factors and Survival by Tumor Subtype: Pooled Analyses from the Breast Cancer Association ConsortiumBreast Cancer Risk Factors and Survival By Tumor Subtype

Author

Morra, Anna, Jung, Audrey Y, Behrens, Sabine, Keeman, Renske, Ahearn, Thomas U, Anton-Culver, Hoda, Arndt, Volker, Augustinsson, Annelie, Auvinen, Päivi K, Freeman, Laura E Beane, Becher, Heiko, Beckmann, Matthias W, Blomqvist, Carl, Bojesen, Stig E, Bolla, Manjeet K, Brenner, Hermann, Briceno, Ignacio, Brucker, Sara Y, Camp, Nicola J, Campa, Daniele, Canzian, Federico, Castelao, Jose E, Chanock, Stephen J, Choi, Ji-Yeob, Clarke, Christine L, Investigators, for the ABCTB, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Dörk, Thilo, Dunning, Alison M, Dwek, Miriam, Easton, Douglas F, Eccles, Diana M, Egan, Kathleen M, Evans, D Gareth, Fasching, Peter A, Flyger, Henrik, Gago-Dominguez, Manuela, Gapstur, Susan M, García-Sáenz, José A, Gaudet, Mia M, Giles, Graham G, Grip, Mervi, Guénel, Pascal, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Hamann, Ute, Han, Sileny N, Hart, Steven N, Hartman, Mikael, Heyworth, Jane S, Hoppe, Reiner, Hopper, John L, Hunter, David J, Ito, Hidemi, Jager, Agnes, Jakimovska, Milena, Jakubowska, Anna, Janni, Wolfgang, Kaaks, Rudolf, Kang, Daehee, Kapoor, Pooja Middha, Kitahara, Cari M, Koutros, Stella, Kraft, Peter, Kristensen, Vessela N, Collaborators, for the NBCS, Lacey, James V, Lambrechts, Diether, Le Marchand, Loic, Li, Jingmei, Lindblom, Annika, Lubiński, Jan, Lush, Michael, Mannermaa, Arto, Manoochehri, Mehdi, Margolin, Sara, Mariapun, Shivaani, Matsuo, Keitaro, Mavroudis, Dimitrios, Milne, Roger L, Muranen, Taru A, Newman, William G, Noh, Dong-Young, Nordestgaard, Børge G, Obi, Nadia, Olshan, Andrew F, Olsson, Håkan, Park-Simon, Tjoung-Won, Petridis, Christos, Pharoah, Paul DP, Plaseska-Karanfilska, Dijana, Presneau, Nadege, Rashid, Muhammad U, Rennert, Gad, Rennert, Hedy S, and Rhenius, Valerie

Subjects
Health Services and Systems, Biomedical and Clinical Sciences, Health Sciences, Oncology and Carcinogenesis, Clinical Research, Aging, Estrogen, Cancer, Prevention, Breast Cancer, Good Health and Well Being, Adult, Aged, Breast Neoplasms, Cause of Death, Female, Humans, Life Style, Middle Aged, Neoplasm Invasiveness, Neoplasm Staging, Prospective Studies, Risk Factors, Survival Analysis, ABCTB Investigators, NBCS Collaborators, Medical and Health Sciences, Epidemiology, Biomedical and clinical sciences, Health sciences
Abstract

BackgroundIt is not known whether modifiable lifestyle factors that predict survival after invasive breast cancer differ by subtype.MethodsWe analyzed data for 121,435 women diagnosed with breast cancer from 67 studies in the Breast Cancer Association Consortium with 16,890 deaths (8,554 breast cancer specific) over 10 years. Cox regression was used to estimate associations between risk factors and 10-year all-cause mortality and breast cancer-specific mortality overall, by estrogen receptor (ER) status, and by intrinsic-like subtype.ResultsThere was no evidence of heterogeneous associations between risk factors and mortality by subtype (P adj > 0.30). The strongest associations were between all-cause mortality and BMI ≥30 versus 18.5-25 kg/m2 [HR (95% confidence interval (CI), 1.19 (1.06-1.34)]; current versus never smoking [1.37 (1.27-1.47)], high versus low physical activity [0.43 (0.21-0.86)], age ≥30 years versus 0-

Published
2021

18. Return of individual genomic research results within the PRAEGNANT multicenter registry study

Author

Huebner, Hanna, Ruebner, Matthias, Kurbacher, Christian, Hadji, Peyman, Hartkopf, Andreas D., Lux, Michael P., Huober, Jens, Uhrig, Sabrina, Taran, Florin-Andrei, Overkamp, Friedrich, Tesch, Hans, Häberle, Lothar, Lüftner, Diana, Wallwiener, Markus, Müller, Volkmar, Beckmann, Matthias W., Hein, Alexander, Belleville, Erik, Untch, Michael, Janni, Wolfgang, Fehm, Tanja N., Kolberg, Hans-Christian, Wallwiener, Diethelm, Brucker, Sara Y., Schneeweiss, Andreas, Ettl, Johannes, Fasching, Peter A., and Michel, Laura L.

Published
2023
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21. Breast Cancer Polygenic Risk Score and Contralateral Breast Cancer Risk

Author

Kramer, Iris, Hooning, Maartje J, Mavaddat, Nasim, Hauptmann, Michael, Keeman, Renske, Steyerberg, Ewout W, Giardiello, Daniele, Antoniou, Antonis C, Pharoah, Paul DP, Canisius, Sander, Abu-Ful, Zumuruda, Andrulis, Irene L, Anton-Culver, Hoda, Aronson, Kristan J, Augustinsson, Annelie, Becher, Heiko, Beckmann, Matthias W, Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Bogdanova, Natalia V, Bojesen, Stig E, Bolla, Manjeet K, Bonanni, Bernardo, Brauch, Hiltrud, Bremer, Michael, Brucker, Sara Y, Burwinkel, Barbara, Castelao, Jose E, Chan, Tsun L, Chang-Claude, Jenny, Chanock, Stephen J, Chenevix-Trench, Georgia, Choi, Ji-Yeob, Clarke, Christine L, Collée, J Margriet, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Daly, Mary B, Devilee, Peter, Dörk, Thilo, dos-Santos-Silva, Isabel, Dunning, Alison M, Dwek, Miriam, Eccles, Diana M, Evans, D Gareth, Fasching, Peter A, Flyger, Henrik, Gago-Dominguez, Manuela, García-Closas, Montserrat, García-Sáenz, José A, Giles, Graham G, Goldgar, David E, González-Neira, Anna, Haiman, Christopher A, Håkansson, Niclas, Hamann, Ute, Hartman, Mikael, Heemskerk-Gerritsen, Bernadette AM, Hollestelle, Antoinette, Hopper, John L, Hou, Ming-Feng, Howell, Anthony, Ito, Hidemi, Jakimovska, Milena, Jakubowska, Anna, Janni, Wolfgang, John, Esther M, Jung, Audrey, Kang, Daehee, Kets, C Marleen, Khusnutdinova, Elza, Ko, Yon-Dschun, Kristensen, Vessela N, Kurian, Allison W, Kwong, Ava, Lambrechts, Diether, Le Marchand, Loic, Li, Jingmei, Lindblom, Annika, Lubiński, Jan, Mannermaa, Arto, Manoochehri, Mehdi, Margolin, Sara, Matsuo, Keitaro, Mavroudis, Dimitrios, Meindl, Alfons, Milne, Roger, Mulligan, Anna Marie, Muranen, Taru A, Neuhausen, Susan L, Nevanlinna, Heli, Newman, William G, Olshan, Andrew F, Olson, Janet E, Olsson, Håkan, Park-Simon, Tjoung-Won, and Peto, Julian

Subjects
Breast Cancer, Prevention, Cancer, Adult, Aged, Asian People, Breast Neoplasms, Cohort Studies, Estrogen Receptor alpha, Female, Gene Expression, Genetic Predisposition to Disease, Genome, Human, Genome-Wide Association Study, Humans, Middle Aged, Multifactorial Inheritance, Neoadjuvant Therapy, Neoplasms, Second Primary, Prognosis, Proportional Hazards Models, Receptor, ErbB-2, Receptors, Progesterone, Risk Assessment, White People, NBCS Collaborators, ABCTB Investigators, kConFab Investigators, Receptor, erbB-2, contralateral breast cancer, epidemiology, genetic, polygenic risk score, Biological Sciences, Medical and Health Sciences, Genetics & Heredity
Abstract

Previous research has shown that polygenic risk scores (PRSs) can be used to stratify women according to their risk of developing primary invasive breast cancer. This study aimed to evaluate the association between a recently validated PRS of 313 germline variants (PRS313) and contralateral breast cancer (CBC) risk. We included 56,068 women of European ancestry diagnosed with first invasive breast cancer from 1990 onward with follow-up from the Breast Cancer Association Consortium. Metachronous CBC risk (N = 1,027) according to the distribution of PRS313 was quantified using Cox regression analyses. We assessed PRS313 interaction with age at first diagnosis, family history, morphology, ER status, PR status, and HER2 status, and (neo)adjuvant therapy. In studies of Asian women, with limited follow-up, CBC risk associated with PRS313 was assessed using logistic regression for 340 women with CBC compared with 12,133 women with unilateral breast cancer. Higher PRS313 was associated with increased CBC risk: hazard ratio per standard deviation (SD) = 1.25 (95%CI = 1.18-1.33) for Europeans, and an OR per SD = 1.15 (95%CI = 1.02-1.29) for Asians. The absolute lifetime risks of CBC, accounting for death as competing risk, were 12.4% for European women at the 10th percentile and 20.5% at the 90th percentile of PRS313. We found no evidence of confounding by or interaction with individual characteristics, characteristics of the primary tumor, or treatment. The C-index for the PRS313 alone was 0.563 (95%CI = 0.547-0.586). In conclusion, PRS313 is an independent factor associated with CBC risk and can be incorporated into CBC risk prediction models to help improve stratification and optimize surveillance and treatment strategies.

Published
2020

23. Pembrolizumab in combination with nab-paclitaxel for the treatment of patients with early-stage triple-negative breast cancer – A single-arm phase II trial (NeoImmunoboost, AGO-B-041)

Author

Fasching, Peter A., Hein, Alexander, Kolberg, Hans-Christian, Häberle, Lothar, Uhrig, Sabrina, Rübner, Matthias, Belleville, Erik, Hack, Carolin C., Fehm, Tanja N., Janni, Wolfang, Hartmann, Arndt, Erber, Ramona, Theuser, Anna-Katharin, Brucker, Sara Y., Hartkopf, Andreas D., and Untch, Michael

Published
2023
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24. Clinical and pathological associations of PTEN expression in ovarian cancer: a multicentre study from the Ovarian Tumour Tissue Analysis Consortium.

Author

Martins, Filipe Correia, Couturier, Dominique-Laurent, Paterson, Anna, Karnezis, Anthony N, Chow, Christine, Nazeran, Tayyebeh M, Odunsi, Adekunle, Gentry-Maharaj, Aleksandra, Vrvilo, Aleksandra, Hein, Alexander, Talhouk, Aline, Osorio, Ana, Hartkopf, Andreas D, Brooks-Wilson, Angela, DeFazio, Anna, Fischer, Anna, Hartmann, Arndt, Hernandez, Brenda Y, McCauley, Bryan M, Karpinskyj, Chloe, de Sousa, Christiani B, Høgdall, Claus, Tiezzi, Daniel G, Herpel, Esther, Taran, Florin Andrei, Modugno, Francesmary, Keeney, Gary, Nelson, Gregg, Steed, Helen, Song, Honglin, Luk, Hugh, Benitez, Javier, Alsop, Jennifer, Koziak, Jennifer M, Lester, Jenny, Rothstein, Joseph H, de Andrade, Jurandyr M, Lundvall, Lene, Paz-Ares, Luis, Robles-Díaz, Luis, Wilkens, Lynne R, Garcia, Maria J, Intermaggio, Maria P, Alcaraz, Marie-Lyne, Brett, Mary A, Beckmann, Matthias W, Jimenez-Linan, Mercedes, Anglesio, Michael, Carney, Michael E, Schneider, Michael, Traficante, Nadia, Pejovic, Nadja, Singh, Naveena, Le, Nhu, Sinn, Peter, Ghatage, Prafull, Erber, Ramona, Edwards, Robert, Vierkant, Robert, Ness, Roberta B, Leung, Samuel, Orsulic, Sandra, Brucker, Sara Y, Kaufmann, Scott H, Fereday, Sian, Gayther, Simon, Winham, Stacey J, Kommoss, Stefan, Pejovic, Tanja, Longacre, Teri A, McGuire, Valerie, Rhenius, Valerie, Sieh, Weiva, Shvetsov, Yurii B, Whittemore, Alice S, Staebler, Annette, Karlan, Beth Y, Rodriguez-Antona, Cristina, Bowtell, David D, Goode, Ellen L, Høgdall, Estrid, Candido Dos Reis, Francisco J, Gronwald, Jacek, Chang-Claude, Jenny, Moysich, Kirsten B, Kelemen, Linda E, Cook, Linda S, Goodman, Marc T, Fasching, Peter A, Crawford, Robin, Deen, Suha, Menon, Usha, Huntsman, David G, Köbel, Martin, Ramus, Susan J, Pharoah, Paul DP, and Brenton, James D

Subjects
Oncology & Carcinogenesis, Oncology and Carcinogenesis, Public Health and Health Services
Abstract

BackgroundPTEN loss is a putative driver in histotypes of ovarian cancer (high-grade serous (HGSOC), endometrioid (ENOC), clear cell (CCOC), mucinous (MOC), low-grade serous (LGSOC)). We aimed to characterise PTEN expression as a biomarker in epithelial ovarian cancer in a large population-based study.MethodsTumours from 5400 patients from a multicentre observational, prospective cohort study of the Ovarian Tumour Tissue Analysis Consortium were used to evaluate associations between immunohistochemical PTEN patterns and overall survival time, age, stage, grade, residual tumour, CD8+ tumour-infiltrating lymphocytes (TIL) counts, expression of oestrogen receptor (ER), progesterone receptor (PR) and androgen receptor (AR) by means of Cox proportional hazard models and generalised Cochran-Mantel-Haenszel tests.ResultsDownregulation of cytoplasmic PTEN expression was most frequent in ENOC (most frequently in younger patients; p value = 0.0001) and CCOC and was associated with longer overall survival in HGSOC (hazard ratio: 0.78, 95% CI: 0.65-0.94, p value = 0.022). PTEN expression was associated with ER, PR and AR expression (p values: 0.0008, 0.062 and 0.0002, respectively) in HGSOC and with lower CD8 counts in CCOC (p value

Published
2020

25. Germline HOXB13 mutations p.G84E and p.R217C do not confer an increased breast cancer risk.

Author

Liu, Jingjing, Prager-van der Smissen, Wendy JC, Collée, J Margriet, Bolla, Manjeet K, Wang, Qin, Michailidou, Kyriaki, Dennis, Joe, Ahearn, Thomas U, Aittomäki, Kristiina, Ambrosone, Christine B, Andrulis, Irene L, Anton-Culver, Hoda, Antonenkova, Natalia N, Arndt, Volker, Arnold, Norbert, Aronson, Kristan J, Augustinsson, Annelie, Auvinen, Päivi, Becher, Heiko, Beckmann, Matthias W, Behrens, Sabine, Bermisheva, Marina, Bernstein, Leslie, Bogdanova, Natalia V, Bogdanova-Markov, Nadja, Bojesen, Stig E, Brauch, Hiltrud, Brenner, Hermann, Briceno, Ignacio, Brucker, Sara Y, Brüning, Thomas, Burwinkel, Barbara, Cai, Qiuyin, Cai, Hui, Campa, Daniele, Canzian, Federico, Castelao, Jose E, Chang-Claude, Jenny, Chanock, Stephen J, Choi, Ji-Yeob, Christiaens, Melissa, Clarke, Christine L, NBCS Collaborators, Couch, Fergus J, Czene, Kamila, Daly, Mary B, Devilee, Peter, Dos-Santos-Silva, Isabel, Dwek, Miriam, Eccles, Diana M, Eliassen, A Heather, Fasching, Peter A, Figueroa, Jonine, Flyger, Henrik, Fritschi, Lin, Gago-Dominguez, Manuela, Gapstur, Susan M, García-Closas, Montserrat, García-Sáenz, José A, Gaudet, Mia M, Giles, Graham G, Goldberg, Mark S, Goldgar, David E, Guénel, Pascal, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Harrington, Patricia A, Hart, Steven N, Hartman, Mikael, Hillemanns, Peter, Hopper, John L, Hou, Ming-Feng, Hunter, David J, Huo, Dezheng, ABCTB Investigators, Ito, Hidemi, Iwasaki, Motoki, Jakimovska, Milena, Jakubowska, Anna, John, Esther M, Kaaks, Rudolf, Kang, Daehee, Keeman, Renske, Khusnutdinova, Elza, Kim, Sung-Won, Kraft, Peter, Kristensen, Vessela N, Kurian, Allison W, Le Marchand, Loic, Li, Jingmei, Lindblom, Annika, Lophatananon, Artitaya, Luben, Robert N, Lubiński, Jan, Mannermaa, Arto, Manoochehri, Mehdi, Manoukian, Siranoush, Margolin, Sara, and Mariapun, Shivaani

Subjects
NBCS Collaborators, ABCTB Investigators
Abstract

In breast cancer, high levels of homeobox protein Hox-B13 (HOXB13) have been associated with disease progression of ER-positive breast cancer patients and resistance to tamoxifen treatment. Since HOXB13 p.G84E is a prostate cancer risk allele, we evaluated the association between HOXB13 germline mutations and breast cancer risk in a previous study consisting of 3,270 familial non-BRCA1/2 breast cancer cases and 2,327 controls from the Netherlands. Although both recurrent HOXB13 mutations p.G84E and p.R217C were not associated with breast cancer risk, the risk estimation for p.R217C was not very precise. To provide more conclusive evidence regarding the role of HOXB13 in breast cancer susceptibility, we here evaluated the association between HOXB13 mutations and increased breast cancer risk within 81 studies of the international Breast Cancer Association Consortium containing 68,521 invasive breast cancer patients and 54,865 controls. Both HOXB13 p.G84E and p.R217C did not associate with the development of breast cancer in European women, neither in the overall analysis (OR = 1.035, 95% CI = 0.859-1.246, P = 0.718 and OR = 0.798, 95% CI = 0.482-1.322, P = 0.381 respectively), nor in specific high-risk subgroups or breast cancer subtypes. Thus, although involved in breast cancer progression, HOXB13 is not a material breast cancer susceptibility gene.

Published
2020

26. Genome-wide association study identifies 32 novel breast cancer susceptibility loci from overall and subtype-specific analyses.

Author

Zhang, Haoyu, Ahearn, Thomas U, Lecarpentier, Julie, Barnes, Daniel, Beesley, Jonathan, Qi, Guanghao, Jiang, Xia, O'Mara, Tracy A, Zhao, Ni, Bolla, Manjeet K, Dunning, Alison M, Dennis, Joe, Wang, Qin, Ful, Zumuruda Abu, Aittomäki, Kristiina, Andrulis, Irene L, Anton-Culver, Hoda, Arndt, Volker, Aronson, Kristan J, Arun, Banu K, Auer, Paul L, Azzollini, Jacopo, Barrowdale, Daniel, Becher, Heiko, Beckmann, Matthias W, Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Bialkowska, Katarzyna, Blanco, Ana, Blomqvist, Carl, Bogdanova, Natalia V, Bojesen, Stig E, Bonanni, Bernardo, Bondavalli, Davide, Borg, Ake, Brauch, Hiltrud, Brenner, Hermann, Briceno, Ignacio, Broeks, Annegien, Brucker, Sara Y, Brüning, Thomas, Burwinkel, Barbara, Buys, Saundra S, Byers, Helen, Caldés, Trinidad, Caligo, Maria A, Calvello, Mariarosaria, Campa, Daniele, Castelao, Jose E, Chang-Claude, Jenny, Chanock, Stephen J, Christiaens, Melissa, Christiansen, Hans, Chung, Wendy K, Claes, Kathleen BM, Clarke, Christine L, Cornelissen, Sten, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Daly, Mary B, Devilee, Peter, Diez, Orland, Domchek, Susan M, Dörk, Thilo, Dwek, Miriam, Eccles, Diana M, Ekici, Arif B, Evans, D Gareth, Fasching, Peter A, Figueroa, Jonine, Foretova, Lenka, Fostira, Florentia, Friedman, Eitan, Frost, Debra, Gago-Dominguez, Manuela, Gapstur, Susan M, Garber, Judy, García-Sáenz, José A, Gaudet, Mia M, Gayther, Simon A, Giles, Graham G, Godwin, Andrew K, Goldberg, Mark S, Goldgar, David E, González-Neira, Anna, Greene, Mark H, Gronwald, Jacek, Guénel, Pascal, Häberle, Lothar, Hahnen, Eric, Haiman, Christopher A, Hake, Christopher R, Hall, Per, Hamann, Ute, Harkness, Elaine F, Heemskerk-Gerritsen, Bernadette AM, and Hillemanns, Peter

Subjects
kConFab Investigators, ABCTB Investigators, EMBRACE Study, GEMO Study Collaborators, Humans, Breast Neoplasms, Genetic Predisposition to Disease, BRCA1 Protein, Case-Control Studies, Linkage Disequilibrium, Mutation, Female, Genome-Wide Association Study, Triple Negative Breast Neoplasms, Human Genome, Cancer, Prevention, Genetics, Breast Cancer, 2.1 Biological and endogenous factors, Developmental Biology, Biological Sciences, Medical and Health Sciences
Abstract

Breast cancer susceptibility variants frequently show heterogeneity in associations by tumor subtype1-3. To identify novel loci, we performed a genome-wide association study including 133,384 breast cancer cases and 113,789 controls, plus 18,908 BRCA1 mutation carriers (9,414 with breast cancer) of European ancestry, using both standard and novel methodologies that account for underlying tumor heterogeneity by estrogen receptor, progesterone receptor and human epidermal growth factor receptor 2 status and tumor grade. We identified 32 novel susceptibility loci (P

Published
2020

27. A network analysis to identify mediators of germline-driven differences in breast cancer prognosis.

Author

Escala-Garcia, Maria, Abraham, Jean, Andrulis, Irene L, Anton-Culver, Hoda, Arndt, Volker, Ashworth, Alan, Auer, Paul L, Auvinen, Päivi, Beckmann, Matthias W, Beesley, Jonathan, Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Blomqvist, Carl, Blot, William, Bogdanova, Natalia V, Bojesen, Stig E, Bolla, Manjeet K, Børresen-Dale, Anne-Lise, Brauch, Hiltrud, Brenner, Hermann, Brucker, Sara Y, Burwinkel, Barbara, Caldas, Carlos, Canzian, Federico, Chang-Claude, Jenny, Chanock, Stephen J, Chin, Suet-Feung, Clarke, Christine L, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Daly, Mary B, Dennis, Joe, Devilee, Peter, Dunn, Janet A, Dunning, Alison M, Dwek, Miriam, Earl, Helena M, Eccles, Diana M, Eliassen, A Heather, Ellberg, Carolina, Evans, D Gareth, Fasching, Peter A, Figueroa, Jonine, Flyger, Henrik, Gago-Dominguez, Manuela, Gapstur, Susan M, García-Closas, Montserrat, García-Sáenz, José A, Gaudet, Mia M, George, Angela, Giles, Graham G, Goldgar, David E, González-Neira, Anna, Grip, Mervi, Guénel, Pascal, Guo, Qi, Haiman, Christopher A, Håkansson, Niclas, Hamann, Ute, Harrington, Patricia A, Hiller, Louise, Hooning, Maartje J, Hopper, John L, Howell, Anthony, Huang, Chiun-Sheng, Huang, Guanmengqian, Hunter, David J, Jakubowska, Anna, John, Esther M, Kaaks, Rudolf, Kapoor, Pooja Middha, Keeman, Renske, Kitahara, Cari M, Koppert, Linetta B, Kraft, Peter, Kristensen, Vessela N, Lambrechts, Diether, Le Marchand, Loic, Lejbkowicz, Flavio, Lindblom, Annika, Lubiński, Jan, Mannermaa, Arto, Manoochehri, Mehdi, Manoukian, Siranoush, Margolin, Sara, Martinez, Maria Elena, Maurer, Tabea, Mavroudis, Dimitrios, Meindl, Alfons, Milne, Roger L, Mulligan, Anna Marie, Neuhausen, Susan L, Nevanlinna, Heli, Newman, William G, Olshan, Andrew F, Olson, Janet E, and Olsson, Håkan

Subjects
Germ Cells, Humans, Breast Neoplasms, GTP-Binding Protein alpha Subunits, GTP-Binding Protein alpha Subunits, Gq-G11, Receptors, Estrogen, Prognosis, Computational Biology, Signal Transduction, Apoptosis, Genotype, Female, Gene Regulatory Networks, Genetic Variation, Genome-Wide Association Study, Circadian Clocks, Gq-G11, Receptors, Estrogen, Cancer, Breast Cancer, Genetics, 2.1 Biological and endogenous factors, 4.1 Discovery and preclinical testing of markers and technologies
Abstract

Identifying the underlying genetic drivers of the heritability of breast cancer prognosis remains elusive. We adapt a network-based approach to handle underpowered complex datasets to provide new insights into the potential function of germline variants in breast cancer prognosis. This network-based analysis studies ~7.3 million variants in 84,457 breast cancer patients in relation to breast cancer survival and confirms the results on 12,381 independent patients. Aggregating the prognostic effects of genetic variants across multiple genes, we identify four gene modules associated with survival in estrogen receptor (ER)-negative and one in ER-positive disease. The modules show biological enrichment for cancer-related processes such as G-alpha signaling, circadian clock, angiogenesis, and Rho-GTPases in apoptosis.

Published
2020

31. Long-term Follow-up and Safety of Patients after an Upfront Therapy with Letrozole for Early Breast Cancer in Routine Clinical Care – The PreFace Study

Author

Hein, Alexander, primary, Fasching, Peter A., primary, Hack, Carolin C., additional, Maass, Nicolai, additional, Aktas, Bahriye, additional, Kümmel, Sherko, additional, Thomssen, Christoph, additional, Wolf, Christopher, additional, Kolberg, Hans-Christian, additional, Brucker, Cosima, additional, Janni, Wolfgang, additional, Dall, Peter, additional, Schneeweiss, Andreas, additional, Marme, Frederik, additional, Ruebner, Matthias, additional, Theuser, Anna-Katharin, additional, Hofmann, Nadine M., additional, Böhm, Sybille, additional, Almstedt, Katrin, additional, Kellner, Sara, additional, Nabieva, Naiba, additional, Gass, Paul, additional, Sütterlin, Marc W., additional, Lück, Hans-Joachim, additional, Schmatloch, Sabine, additional, Kalder, Matthias, additional, Uleer, Christoph, additional, Juhasz-Böss, Ingolf, additional, Hanf, Volker, additional, Jackisch, Christian, additional, Müller, Volkmar, additional, Rack, Brigitte, additional, Belleville, Erik, additional, Wallwiener, Diethelm, additional, Rody, Achim, additional, Rauh, Claudia, additional, Bayer, Christian M., additional, Uhrig, Sabrina, additional, Goossens, Chloë, additional, Huebner, Hanna, additional, Brucker, Sara Y., additional, Häberle, Lothar, additional, and Fehm, Tanja N., additional

Published
2024
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33. CDK4/6 Inhibition – Therapy Sequences and the Quest to Find the Best Biomarkers – an Overview of Current Programs

Author

Schneeweiss, Andreas, additional, Brucker, Sara Y., additional, Huebner, Hanna, additional, Volmer, Lea L., additional, Hack, Carolin C., additional, Seitz, Katharina, additional, Ruebner, Matthias, additional, Heublein, Sabine, additional, Thewes, Verena, additional, Lüftner, Diana, additional, Lux, Michael P., additional, Jurhasz-Böss, Ingolf, additional, Taran, Florin-Andrei, additional, Wimberger, Pauline, additional, Anetsberger, Daniel, additional, Beierlein, Milena, additional, Schmidt, Marcus, additional, Radosa, Julia, additional, Müller, Volkmar, additional, Janni, Wolfgang, additional, Rack, Brigitte, additional, Belleville, Erik, additional, Untch, Michael, additional, Thill, Marc, additional, Ditsch, Nina, additional, Aktas, Bahriye, additional, Nel, Ivonne, additional, Kolberg, Hans-Christian, additional, Engerle, Tobias, additional, Tesch, Hans, additional, Roos, Christian, additional, Budden, Christina, additional, Neubauer, Hans, additional, Hartkopf, Andreas D., additional, Fehm, Tanja N., additional, and Fasching, Peter A., additional

Published
2024
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34. Attrition in the First Three Therapy Lines in Patients with Advanced Breast Cancer in the German Real-World PRAEGNANT Registry

Author

Hartkopf, Andreas D., primary, Walter, Christina B., primary, Kolberg, Hans-Christian, additional, Hadji, Peyman, additional, Tesch, Hans, additional, Fasching, Peter A., additional, Ettl, Johannes, additional, Lüftner, Diana, additional, Wallwiener, Markus, additional, Müller, Volkmar, additional, Beckmann, Matthias W., additional, Belleville, Erik, additional, Huebner, Hanna, additional, Uhrig, Sabrina, additional, Goossens, Chloë, additional, Link, Theresa, additional, Hielscher, Carsten, additional, Mundhenke, Christoph, additional, Kurbacher, Christian, additional, Wuerstlein, Rachel, additional, Untch, Michael, additional, Janni, Wolfgang, additional, Taran, Florin-Andrei, additional, Michel, Laura L., additional, Lux, Michael P., additional, Wallwiener, Diethelm, additional, Brucker, Sara Y., additional, Fehm, Tanja N., additional, Häberle, Lothar, additional, and Schneeweiss, Andreas, additional

Published
2024
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35. Associations of obesity and circulating insulin and glucose with breast cancer risk: a Mendelian randomization analysis.

Author

Shu, Xiang, Wu, Lang, Khankari, Nikhil K, Shu, Xiao-Ou, Wang, Thomas J, Michailidou, Kyriaki, Bolla, Manjeet K, Wang, Qin, Dennis, Joe, Milne, Roger L, Schmidt, Marjanka K, Pharoah, Paul DP, Andrulis, Irene L, Hunter, David J, Simard, Jacques, Easton, Douglas F, Zheng, Wei, Alicia, Beeghly-Fadiel J, Anton-Culver, Hoda, Antonenkova, Natalia N, Arndt, Volker, Aronson, Kristan J, Auer, Paul L, Barrdahl, Myrto, Baynes, Caroline, Beane Freeman, Laura E, Beckmann, Matthias W, Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Blomqvist, Carl, Bogdanova, Natalia V, Bojesen, Stig E, Brauch, Hiltrud, Brenner, Hermann, Brinton, Louise, Broberg, Per, Brucker, Sara Y, Brüning, Thomas, Burwinkel, Barbara, Cai, Qiuyin, Caldés, Trinidad, Canzian, Federico, Carter, Brian D, Castelao, Jose E, Chang-Claude, Jenny, Chenevix-Trench, Georgia, David Cheng, Ting-Yuan, Clarke, Christine L, Conroy, Don M, Couch, Fergus J, Cox, David G, Cox, Angela, Cross, Simon S, Cunningham, Julie M, Czene, Kamila, Daly, Mary B, Doheny, Kimberly F, Dörk, Thilo, dos-Santos-Silva, Isabel, Dumont, Martine, Dunning, Alison M, Dwek, Miriam, Earp, H Shelton, Eccles, Diana M, Heather Eliassen, A, Engel, Christoph, Eriksson, Mikael, Gareth Evans, D, Fachal, Laura, Fasching, Peter A, Figueroa, Jonine, Fletcher, Olivia, Flyger, Henrik, Fritschi, Lin, Gabrielson, Marike, Gago-Dominguez, Manuela, Gapstur, Susan M, García-Closas, Montserrat, Gaudet, Mia M, Ghoussaini, Maya, Giles, Graham G, Goldberg, Mark S, Goldgar, David E, González-Neira, Anna, Guénel, Pascal, Hahnen, Eric, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Hallberg, Emily, Hamann, Ute, Harrington, Patricia, He, Wei, Hein, Alexander, Hicks, Belynda, Hillemanns, Peter, Hogervorst, Frans B, Hollestelle, Antoinette, and Hoover, Robert N

Subjects
Clinical Research, Diabetes, Prevention, Nutrition, Obesity, Cancer, Aging, Breast Cancer, Genetics, 2.1 Biological and endogenous factors, Aetiology, Metabolic and endocrine, Adult, Aged, Blood Glucose, Body Mass Index, Breast Neoplasms, Diabetes Mellitus, Type 2, Female, Humans, Insulin, Mendelian Randomization Analysis, Middle Aged, Obesity, Abdominal, Waist-Hip Ratio, Breast cancer, insulin, glucose, obesity, genetics, Mendelian randomization analysis, Breast Cancer Association Consortium, Statistics, Public Health and Health Services, Epidemiology
Abstract

BackgroundIn addition to the established association between general obesity and breast cancer risk, central obesity and circulating fasting insulin and glucose have been linked to the development of this common malignancy. Findings from previous studies, however, have been inconsistent, and the nature of the associations is unclear.MethodsWe conducted Mendelian randomization analyses to evaluate the association of breast cancer risk, using genetic instruments, with fasting insulin, fasting glucose, 2-h glucose, body mass index (BMI) and BMI-adjusted waist-hip-ratio (WHRadj BMI). We first confirmed the association of these instruments with type 2 diabetes risk in a large diabetes genome-wide association study consortium. We then investigated their associations with breast cancer risk using individual-level data obtained from 98 842 cases and 83 464 controls of European descent in the Breast Cancer Association Consortium.ResultsAll sets of instruments were associated with risk of type 2 diabetes. Associations with breast cancer risk were found for genetically predicted fasting insulin [odds ratio (OR) = 1.71 per standard deviation (SD) increase, 95% confidence interval (CI) = 1.26-2.31, p  =  5.09  ×  10-4], 2-h glucose (OR = 1.80 per SD increase, 95% CI = 1.3 0-2.49, p  =  4.02  ×  10-4), BMI (OR = 0.70 per 5-unit increase, 95% CI = 0.65-0.76, p  =  5.05  ×  10-19) and WHRadj BMI (OR = 0.85, 95% CI = 0.79-0.91, p  =  9.22  ×  10-6). Stratified analyses showed that genetically predicted fasting insulin was more closely related to risk of estrogen-receptor [ER]-positive cancer, whereas the associations with instruments of 2-h glucose, BMI and WHRadj BMI were consistent regardless of age, menopausal status, estrogen receptor status and family history of breast cancer.ConclusionsWe confirmed the previously reported inverse association of genetically predicted BMI with breast cancer risk, and showed a positive association of genetically predicted fasting insulin and 2-h glucose and an inverse association of WHRadj BMI with breast cancer risk. Our study suggests that genetically determined obesity and glucose/insulin-related traits have an important role in the aetiology of breast cancer.

Published
2019

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

Author

Escala-Garcia, Maria, Guo, Qi, Dörk, Thilo, Canisius, Sander, Keeman, Renske, Dennis, Joe, Beesley, Jonathan, Lecarpentier, Julie, Bolla, Manjeet K, Wang, Qin, Abraham, Jean, Andrulis, Irene L, Anton-Culver, Hoda, Arndt, Volker, Auer, Paul L, Beckmann, Matthias W, Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Bernstein, Leslie, Blomqvist, Carl, Boeckx, Bram, Bojesen, Stig E, Bonanni, Bernardo, Børresen-Dale, Anne-Lise, Brauch, Hiltrud, Brenner, Hermann, Brentnall, Adam, Brinton, Louise, Broberg, Per, Brock, Ian W, Brucker, Sara Y, Burwinkel, Barbara, Caldas, Carlos, Caldés, Trinidad, Campa, Daniele, Canzian, Federico, Carracedo, Angel, Carter, Brian D, Castelao, Jose E, Chang-Claude, Jenny, Chanock, Stephen J, Chenevix-Trench, Georgia, Cheng, Ting-Yuan David, Chin, Suet-Feung, Clarke, Christine L, NBCS Collaborators, Cordina-Duverger, Emilie, Couch, Fergus J, Cox, David G, Cox, Angela, Cross, Simon S, Czene, Kamila, Daly, Mary B, Devilee, Peter, Dunn, Janet A, Dunning, Alison M, Durcan, Lorraine, Dwek, Miriam, Earl, Helena M, Ekici, Arif B, Eliassen, A Heather, Ellberg, Carolina, Engel, Christoph, Eriksson, Mikael, Evans, D Gareth, Figueroa, Jonine, Flesch-Janys, Dieter, Flyger, Henrik, Gabrielson, Marike, Gago-Dominguez, Manuela, Galle, Eva, Gapstur, Susan M, García-Closas, Montserrat, García-Sáenz, José A, Gaudet, Mia M, George, Angela, Georgoulias, Vassilios, Giles, Graham G, Glendon, Gord, Goldgar, David E, González-Neira, Anna, Alnæs, Grethe I Grenaker, Grip, Mervi, Guénel, Pascal, Haeberle, Lothar, Hahnen, Eric, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Hamann, Ute, Hankinson, Susan, Harkness, Elaine F, Harrington, Patricia A, Hart, Steven N, Hartikainen, Jaana M, Hein, Alexander, Hillemanns, Peter, Hiller, Louise, and Holleczek, Bernd

Subjects
NBCS Collaborators, Chromosomes, Human, Pair 7, Humans, Breast Neoplasms, Receptors, Estrogen, Prognosis, Proportional Hazards Models, Bayes Theorem, Female, Genetic Variation, Genome-Wide Association Study, White People, Genetics, Breast Cancer, Human Genome, Cancer, Aetiology, 2.1 Biological and endogenous factors, Good Health and Well Being, Oncology and Carcinogenesis, Public Health and Health Services, Oncology & Carcinogenesis
Abstract

BackgroundWe examined the associations between germline variants and breast cancer mortality using a large meta-analysis of women of European ancestry.MethodsMeta-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).ResultsWe did not find any variant associated with breast cancer-specific mortality at P

Published
2019

37. Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes.

Author

Mavaddat, Nasim, Michailidou, Kyriaki, Dennis, Joe, Lush, Michael, Fachal, Laura, Lee, Andrew, Tyrer, Jonathan P, Chen, Ting-Huei, Wang, Qin, Bolla, Manjeet K, Yang, Xin, Adank, Muriel A, Ahearn, Thomas, Aittomäki, Kristiina, Allen, Jamie, Andrulis, Irene L, Anton-Culver, Hoda, Antonenkova, Natalia N, Arndt, Volker, Aronson, Kristan J, Auer, Paul L, Auvinen, Päivi, Barrdahl, Myrto, Beane Freeman, Laura E, Beckmann, Matthias W, Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Bernstein, Leslie, Blomqvist, Carl, Bogdanova, Natalia V, Bojesen, Stig E, Bonanni, Bernardo, Børresen-Dale, Anne-Lise, Brauch, Hiltrud, Bremer, Michael, Brenner, Hermann, Brentnall, Adam, Brock, Ian W, Brooks-Wilson, Angela, Brucker, Sara Y, Brüning, Thomas, Burwinkel, Barbara, Campa, Daniele, Carter, Brian D, Castelao, Jose E, Chanock, Stephen J, Chlebowski, Rowan, Christiansen, Hans, Clarke, Christine L, Collée, J Margriet, Cordina-Duverger, Emilie, Cornelissen, Sten, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Daly, Mary B, Devilee, Peter, Dörk, Thilo, Dos-Santos-Silva, Isabel, Dumont, Martine, Durcan, Lorraine, Dwek, Miriam, Eccles, Diana M, Ekici, Arif B, Eliassen, A Heather, Ellberg, Carolina, Engel, Christoph, Eriksson, Mikael, Evans, D Gareth, Fasching, Peter A, Figueroa, Jonine, Fletcher, Olivia, Flyger, Henrik, Försti, Asta, Fritschi, Lin, Gabrielson, Marike, Gago-Dominguez, Manuela, Gapstur, Susan M, García-Sáenz, José A, Gaudet, Mia M, Georgoulias, Vassilios, Giles, Graham G, Gilyazova, Irina R, Glendon, Gord, Goldberg, Mark S, Goldgar, David E, González-Neira, Anna, Grenaker Alnæs, Grethe I, Grip, Mervi, Gronwald, Jacek, Grundy, Anne, Guénel, Pascal, Haeberle, Lothar, Hahnen, Eric, Haiman, Christopher A, Håkansson, Niclas, Hamann, Ute, and Hankinson, Susan E

Subjects
ABCTB Investigators, kConFab/AOCS Investigators, NBCS Collaborators, Humans, Breast Neoplasms, Genetic Predisposition to Disease, Receptors, Estrogen, Medical History Taking, Risk Assessment, Reproducibility of Results, Age Factors, Multifactorial Inheritance, Polymorphism, Single Nucleotide, Adult, Aged, Aged, 80 and over, Middle Aged, Female, breast, cancer, epidemiology, genetic, polygenic, prediction, risk, score, screening, stratification, Human Genome, Cancer, Genetics, Clinical Research, Prevention, Breast Cancer, Good Health and Well Being, Biological Sciences, Medical and Health Sciences, Genetics & Heredity
Abstract

Stratification of women according to their risk of breast cancer based on polygenic risk scores (PRSs) could improve screening and prevention strategies. Our aim was to develop PRSs, optimized for prediction of estrogen receptor (ER)-specific disease, from the largest available genome-wide association dataset and to empirically validate the PRSs in prospective studies. The development dataset comprised 94,075 case subjects and 75,017 control subjects of European ancestry from 69 studies, divided into training and validation sets. Samples were genotyped using genome-wide arrays, and single-nucleotide polymorphisms (SNPs) were selected by stepwise regression or lasso penalized regression. The best performing PRSs were validated in an independent test set comprising 11,428 case subjects and 18,323 control subjects from 10 prospective studies and 190,040 women from UK Biobank (3,215 incident breast cancers). For the best PRSs (313 SNPs), the odds ratio for overall disease per 1 standard deviation in ten prospective studies was 1.61 (95%CI: 1.57-1.65) with area under receiver-operator curve (AUC) = 0.630 (95%CI: 0.628-0.651). The lifetime risk of overall breast cancer in the top centile of the PRSs was 32.6%. Compared with women in the middle quintile, those in the highest 1% of risk had 4.37- and 2.78-fold risks, and those in the lowest 1% of risk had 0.16- and 0.27-fold risks, of developing ER-positive and ER-negative disease, respectively. Goodness-of-fit tests indicated that this PRS was well calibrated and predicts disease risk accurately in the tails of the distribution. This PRS is a powerful and reliable predictor of breast cancer risk that may improve breast cancer prevention programs.

Published
2019

39. Long-Term Follow-Up Regarding Pain Relief, Fertility, and Re-Operation after Surgery for Deep Endometriosis.

Author

Drechsel-Grau, Alexander, Grube, Marcel, Neis, Felix, Schoenfisch, Birgitt, Kommoss, Stefan, Rall, Katharina, Brucker, Sara Y., Kraemer, Bernhard, and Andress, Juergen

Subjects
REOPERATION, CHILDBIRTH, FERTILITY, INFERTILITY, ENDOMETRIOSIS, ANALGESIA
Abstract

Background: Endometriosis is known to be a common chronic disease that often affects the quality of life of patients. Especially for deep endometriosis (DE), the most challenging form of the disease, surgery remains an important component of treatment. However, long-term outcomes after surgery are poorly studied. Therefore, we aimed to evaluate the postoperative clinical course of women with DE who underwent surgery, particularly with regard to pain relief, fertility, and re-operations. Methods: Thus, women who underwent surgical treatment for DE between 2005 and 2015 were included in this retrospective questionnaire-based analysis. Results: A total of 87.0% of the patients who underwent surgery for pain reported a postoperative relief of their complaints. Moreover, 44.6% even stated that they were free of pain at the time of the questionnaire. Patients who underwent surgery for infertility and tried to become pregnant postoperatively gave birth to a child in 45.9% of cases. Approximately one-third of the patients had to undergo another surgery because of endometriosis-related symptoms. The main reasons for re-operation were pain and infertility. The median time to re-operation was 2.1 years. Conclusions: In this extraordinarily long follow-up with a remarkable response rate, we show that surgical treatment of DE leads to pain relief and improved fertility in most cases. However, the risk of recurrence and the need for re-operation remains remarkable. [ABSTRACT FROM AUTHOR]

Published
2024
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40. Placental growth factor mediates pathological uterine angiogenesis by activating the NFAT5-SGK1 signaling axis in the endometrium: implications for preeclampsia development.

Author

Raja Xavier, Janet P., Okumura, Toshiyuki, Apweiler, Melina, Chacko, Nirzari A., Singh, Yogesh, Brucker, Sara Y, Takeda, Satoru, Lang, Florian, and Salker, Madhuri S

Subjects
PLACENTAL growth factor, PREGNANCY complications, UTERINE artery, ENDOTHELIAL cells, EXTRACELLULAR matrix, NEOVASCULARIZATION
Abstract

After menstruation the uterine spiral arteries are repaired through angiogenesis. This process is tightly regulated by the paracrine communication between endometrial stromal cells (EnSCs) and endothelial cells. Any molecular aberration in these processes can lead to complications in pregnancy including miscarriage or preeclampsia (PE). Placental growth factor (PlGF) is a known contributing factor for pathological angiogenesis but the mechanisms remain poorly understood. In this study, we investigated whether PlGF contributes to pathological uterine angiogenesis by disrupting EnSCs and endothelial paracrine communication. We observed that PlGF mediates a tonicity-independent activation of nuclear factor of activated T cells 5 (NFAT5) in EnSCs. NFAT5 activated downstream targets including SGK1, HIF-1α and VEGF-A. In depth characterization of PlGF - conditioned medium (CM) from EnSCs using mass spectrometry and ELISA methods revealed low VEGF-A and an abundance of extracellular matrix organization associated proteins. Secreted factors in PlGF-CM impeded normal angiogenic cues in endothelial cells (HUVECs) by downregulating Notch-VEGF signaling. Interestingly, PlGF-CM failed to support human placental (BeWo) cell invasion through HUVEC monolayer. Inhibition of SGK1 in EnSCs improved angiogenic effects in HUVECs and promoted BeWo invasion, revealing SGK1 as a key intermediate player modulating PlGF mediated anti-angiogenic signaling. Taken together, perturbed PlGF-NFAT5-SGK1 signaling in the endometrium can contribute to pathological uterine angiogenesis by negatively regulating EnSCs-endothelial crosstalk resulting in poor quality vessels in the uterine microenvironment. Taken together the signaling may impact on normal trophoblast invasion and thus placentation and, may be associated with an increased risk of complications such as PE. [ABSTRACT FROM AUTHOR]

Published
2024
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41. Predictive Clinical Decision Support System with RNN Encoding and Tensor Decoding

Author

Yang, Yinchong, Fasching, Peter A., Wallwiener, Markus, Fehm, Tanja N., Brucker, Sara Y., and Tresp, Volker

Subjects
Computer Science - Learning
Abstract

With the introduction of the Electric Health Records, large amounts of digital data become available for analysis and decision support. When physicians are prescribing treatments to a patient, they need to consider a large range of data variety and volume, making decisions increasingly complex. Machine learning based Clinical Decision Support systems can be a solution to the data challenges. In this work we focus on a class of decision support in which the physicians' decision is directly predicted. Concretely, the model would assign higher probabilities to decisions that it presumes the physician are more likely to make. Thus the CDS system can provide physicians with rational recommendations. We also address the problem of correlation in target features: Often a physician is required to make multiple (sub-)decisions in a block, and that these decisions are mutually dependent. We propose a solution to the target correlation problem using a tensor factorization model. In order to handle the patients' historical information as sequential data, we apply the so-called Encoder-Decoder-Framework which is based on Recurrent Neural Networks (RNN) as encoders and a tensor factorization model as a decoder, a combination which is novel in machine learning. With experiments with real-world datasets we show that the proposed model does achieve better prediction performances.

Published
2016

42. Association of p16 expression with prognosis varies across ovarian carcinoma histotypes: an Ovarian Tumor Tissue Analysis consortium study.

Author

Rambau, Peter F, Vierkant, Robert A, Intermaggio, Maria P, Kelemen, Linda E, Goodman, Marc T, Herpel, Esther, Pharoah, Paul D, Kommoss, Stefan, Jimenez-Linan, Mercedes, Karlan, Beth Y, Gentry-Maharaj, Aleksandra, Menon, Usha, Polo, Susanna Hernando, Candido Dos Reis, Francisco J, Doherty, Jennifer Anne, Gayther, Simon A, Sharma, Raghwa, Larson, Melissa C, Harnett, Paul R, Hatfield, Emma, de Andrade, Jurandyr M, Nelson, Gregg S, Steed, Helen, Schildkraut, Joellen M, Carney, Micheal E, Høgdall, Estrid, Whittemore, Alice S, Widschwendter, Martin, Kennedy, Catherine J, Wang, Frances, Wang, Qin, Wang, Chen, Armasu, Sebastian M, Daley, Frances, Coulson, Penny, Jones, Micheal E, Anglesio, Micheal S, Chow, Christine, de Fazio, Anna, García-Closas, Montserrat, Brucker, Sara Y, Cybulski, Cezary, Harris, Holly R, Hartkopf, Andreas D, Huzarski, Tomasz, Jensen, Allan, Lubiński, Jan, Oszurek, Oleg, Benitez, Javier, Mina, Fady, Staebler, Annette, Taran, Florin Andrei, Pasternak, Jana, Talhouk, Aline, Rossing, Mary Anne, Hendley, Joy, AOCS Group, Edwards, Robert P, Fereday, Sian, Modugno, Francesmary, Ness, Roberta B, Sieh, Weiva, El-Bahrawy, Mona A, Winham, Stacey J, Lester, Jenny, Kjaer, Susanne K, Gronwald, Jacek, Sinn, Peter, Fasching, Peter A, Chang-Claude, Jenny, Moysich, Kirsten B, Bowtell, David D, Hernandez, Brenda Y, Luk, Hugh, Behrens, Sabine, Shah, Mitul, Jung, Audrey, Ghatage, Prafull, Alsop, Jennifer, Alsop, Kathryn, García-Donas, Jesús, Thompson, Pamela J, Swerdlow, Anthony J, Karpinskyj, Chloe, Cazorla-Jiménez, Alicia, García, María J, Deen, Susha, Wilkens, Lynne R, Palacios, José, Berchuck, Andrew, Koziak, Jennifer M, Brenton, James D, Cook, Linda S, Goode, Ellen L, Huntsman, David G, Ramus, Susan J, and Köbel, Martin

Subjects
AOCS Group, Ovary, Humans, Adenocarcinoma, Mucinous, Cystadenocarcinoma, Serous, Ovarian Neoplasms, Prognosis, Immunohistochemistry, Survival Rate, Adult, Aged, Middle Aged, Female, Cyclin-Dependent Kinase Inhibitor p16, RT-QPCR, immunocytochemistry, ovary, Adenocarcinoma, Mucinous, Cystadenocarcinoma, Serous, Cancer, Genetics, Ovarian Cancer, Rare Diseases, 2.1 Biological and endogenous factors
Abstract

We aimed to validate the prognostic association of p16 expression in ovarian high-grade serous carcinomas (HGSC) and to explore it in other ovarian carcinoma histotypes. p16 protein expression was assessed by clinical-grade immunohistochemistry in 6525 ovarian carcinomas including 4334 HGSC using tissue microarrays from 24 studies participating in the Ovarian Tumor Tissue Analysis consortium. p16 expression patterns were interpreted as abnormal (either overexpression referred to as block expression or absence) or normal (heterogeneous). CDKN2A (which encodes p16) mRNA expression was also analyzed in a subset (n = 2280) mostly representing HGSC (n = 2010). Association of p16 expression with overall survival (OS) was determined within histotypes as was CDKN2A expression for HGSC only. p16 block expression was most frequent in HGSC (56%) but neither protein nor mRNA expression was associated with OS. However, relative to heterogeneous expression, block expression was associated with shorter OS in endometriosis-associated carcinomas, clear cell [hazard ratio (HR): 2.02, 95% confidence (CI) 1.47-2.77, p < 0.001] and endometrioid (HR: 1.88, 95% CI 1.30-2.75, p = 0.004), while absence was associated with shorter OS in low-grade serous carcinomas (HR: 2.95, 95% CI 1.61-5.38, p = 0.001). Absence was most frequent in mucinous carcinoma (50%), and was not associated with OS in this histotype. The prognostic value of p16 expression is histotype-specific and pattern dependent. We provide definitive evidence against an association of p16 expression with survival in ovarian HGSC as previously suggested. Block expression of p16 in clear cell and endometrioid carcinoma should be further validated as a prognostic marker, and absence in low-grade serous carcinoma justifies CDK4 inhibition.

Published
2018

43. L1CAM further stratifies endometrial carcinoma patients with no specific molecular risk profile

Author

Kommoss, Felix KF, Karnezis, Anthony N, Kommoss, Friedrich, Talhouk, Aline, Taran, Florin-Andrei, Staebler, Annette, Gilks, C Blake, Huntsman, David G, Krämer, Bernhard, Brucker, Sara Y, McAlpine, Jessica N, and Kommoss, Stefan

Subjects
Cancer, 2.1 Biological and endogenous factors, Aetiology, Aged, Aged, 80 and over, Cohort Studies, Endometrial Neoplasms, Female, Gene Expression Regulation, Neoplastic, Humans, Middle Aged, Neoplasm Staging, Neural Cell Adhesion Molecule L1, Prognosis, Survival Analysis, Tumor Suppressor Protein p53, Up-Regulation, Oncology and Carcinogenesis, Public Health and Health Services, Oncology & Carcinogenesis
Abstract

BackgroundThe newly developed Proactive Molecular Risk Classifier for Endometrial Cancer (ProMisE) has consistently been shown to be prognostically significant in endometrial carcinomas (EC). Recently, we and others have demonstrated L1 cell-adhesion molecule (L1CAM) to be a significant indicator of high-risk disease in EC. In the current study, it was our aim to determine the prognostic significance of aberrant L1CAM expression in ProMisE subgroups in a large, single centre, population-based EC cohort.MethodsProMisE (POLE; MMR-D; p53 wt/NSMP; p53 abn) classification results from a cohort of 452 EC were available for analysis. L1CAM expression was studied by immunohistochemistry on whole slides. Correlations between clinicopathological data and survival were calculated.ResultsExpression of L1CAM was most frequent in p53 abnormal tumours (80%). L1CAM status was predictive of worse outcome among tumours with no specific molecular profile (p53 wt/NSMP) (p

Published
2018

44. A transcriptome-wide association study of 229,000 women identifies new candidate susceptibility genes for breast cancer

Author

Wu, Lang, Shi, Wei, Long, Jirong, Guo, Xingyi, Michailidou, Kyriaki, Beesley, Jonathan, Bolla, Manjeet K, Shu, Xiao-Ou, Lu, Yingchang, Cai, Qiuyin, Al-Ejeh, Fares, Rozali, Esdy, Wang, Qin, Dennis, Joe, Li, Bingshan, Zeng, Chenjie, Feng, Helian, Gusev, Alexander, Barfield, Richard T, Andrulis, Irene L, Anton-Culver, Hoda, Arndt, Volker, Aronson, Kristan J, Auer, Paul L, Barrdahl, Myrto, Baynes, Caroline, Beckmann, Matthias W, Benitez, Javier, Bermisheva, Marina, Blomqvist, Carl, Bogdanova, Natalia V, Bojesen, Stig E, Brauch, Hiltrud, Brenner, Hermann, Brinton, Louise, Broberg, Per, Brucker, Sara Y, Burwinkel, Barbara, Caldés, Trinidad, Canzian, Federico, Carter, Brian D, Castelao, J Esteban, Chang-Claude, Jenny, Chen, Xiaoqing, Cheng, Ting-Yuan David, Christiansen, Hans, Clarke, Christine L, NBCS Collaborators, Collée, Margriet, Cornelissen, Sten, Couch, Fergus J, Cox, David, Cox, Angela, Cross, Simon S, Cunningham, Julie M, Czene, Kamila, Daly, Mary B, Devilee, Peter, Doheny, Kimberly F, Dörk, Thilo, dos-Santos-Silva, Isabel, Dumont, Martine, Dwek, Miriam, Eccles, Diana M, Eilber, Ursula, Eliassen, A Heather, Engel, Christoph, Eriksson, Mikael, Fachal, Laura, Fasching, Peter A, Figueroa, Jonine, Flesch-Janys, Dieter, Fletcher, Olivia, Flyger, Henrik, Fritschi, Lin, Gabrielson, Marike, Gago-Dominguez, Manuela, Gapstur, Susan M, García-Closas, Montserrat, Gaudet, Mia M, Ghoussaini, Maya, Giles, Graham G, Goldberg, Mark S, Goldgar, David E, González-Neira, Anna, Guénel, Pascal, Hahnen, Eric, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Hallberg, Emily, Hamann, Ute, Harrington, Patricia, Hein, Alexander, Hicks, Belynda, Hillemanns, Peter, Hollestelle, Antoinette, Hoover, Robert N, Hopper, John L, and Huang, Guanmengqian

Subjects
Biological Sciences, Genetics, Cancer, Breast Cancer, Human Genome, Prevention, Women's Health, Cancer Genomics, Biotechnology, 2.1 Biological and endogenous factors, Generic health relevance, Breast Neoplasms, Case-Control Studies, Female, Gene Expression, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Polymorphism, Single Nucleotide, Risk, Transcriptome, NBCS Collaborators, kConFab/AOCS Investigators, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract

The breast cancer risk variants identified in genome-wide association studies explain only a small fraction of the familial relative risk, and the genes responsible for these associations remain largely unknown. To identify novel risk loci and likely causal genes, we performed a transcriptome-wide association study evaluating associations of genetically predicted gene expression with breast cancer risk in 122,977 cases and 105,974 controls of European ancestry. We used data from the Genotype-Tissue Expression Project to establish genetic models to predict gene expression in breast tissue and evaluated model performance using data from The Cancer Genome Atlas. Of the 8,597 genes evaluated, significant associations were identified for 48 at a Bonferroni-corrected threshold of P

Published
2018

45. MyD88 and TLR4 Expression in Epithelial Ovarian Cancer.

Author

Block, Matthew S, Vierkant, Robert A, Rambau, Peter F, Winham, Stacey J, Wagner, Philipp, Traficante, Nadia, Tołoczko, Aleksandra, Tiezzi, Daniel G, Taran, Florin Andrei, Sinn, Peter, Sieh, Weiva, Sharma, Raghwa, Rothstein, Joseph H, Ramón Y Cajal, Teresa, Paz-Ares, Luis, Oszurek, Oleg, Orsulic, Sandra, Ness, Roberta B, Nelson, Gregg, Modugno, Francesmary, Menkiszak, Janusz, McGuire, Valerie, McCauley, Bryan M, Mack, Marie, Lubiński, Jan, Longacre, Teri A, Li, Zheng, Lester, Jenny, Kennedy, Catherine J, Kalli, Kimberly R, Jung, Audrey Y, Johnatty, Sharon E, Jimenez-Linan, Mercedes, Jensen, Allan, Intermaggio, Maria P, Hung, Jillian, Herpel, Esther, Hernandez, Brenda Y, Hartkopf, Andreas D, Harnett, Paul R, Ghatage, Prafull, García-Bueno, José M, Gao, Bo, Fereday, Sian, Eilber, Ursula, Edwards, Robert P, de Sousa, Christiani B, de Andrade, Jurandyr M, Chudecka-Głaz, Anita, Chenevix-Trench, Georgia, Cazorla, Alicia, Brucker, Sara Y, Australian Ovarian Cancer Study Group, Alsop, Jennifer, Whittemore, Alice S, Steed, Helen, Staebler, Annette, Moysich, Kirsten B, Menon, Usha, Koziak, Jennifer M, Kommoss, Stefan, Kjaer, Susanne K, Kelemen, Linda E, Karlan, Beth Y, Huntsman, David G, Høgdall, Estrid, Gronwald, Jacek, Goodman, Marc T, Gilks, Blake, García, María José, Fasching, Peter A, de Fazio, Anna, Deen, Suha, Chang-Claude, Jenny, Candido Dos Reis, Francisco J, Campbell, Ian G, Brenton, James D, Bowtell, David D, Benítez, Javier, Pharoah, Paul DP, Köbel, Martin, Ramus, Susan J, and Goode, Ellen L

Subjects
Australian Ovarian Cancer Study Group, Humans, Ovarian Neoplasms, Tissue Array Analysis, Immunohistochemistry, Survival Analysis, Adult, Aged, Middle Aged, Female, Toll-Like Receptor 4, Myeloid Differentiation Factor 88, Biomarkers, Tumor, Carcinoma, Ovarian Epithelial, Biomarkers, Tumor, Carcinoma, Ovarian Epithelial, Medical and Health Sciences
Abstract

ObjectiveTo evaluate myeloid differentiation primary response gene 88 (MyD88) and Toll-like receptor 4 (TLR4) expression in relation to clinical features of epithelial ovarian cancer, histologic subtypes, and overall survival.Patients and methodsWe conducted centralized immunohistochemical staining, semi-quantitative scoring, and survival analysis in 5263 patients participating in the Ovarian Tumor Tissue Analysis consortium. Patients were diagnosed between January 1, 1978, and December 31, 2014, including 2865 high-grade serous ovarian carcinomas (HGSOCs), with more than 12,000 person-years of follow-up time. Tissue microarrays were stained for MyD88 and TLR4, and staining intensity was classified using a 2-tiered system for each marker (weak vs strong).ResultsExpression of MyD88 and TLR4 was similar in all histotypes except clear cell ovarian cancer, which showed reduced expression compared with other histotypes (P

Published
2018

46. Dose-Response Association of CD8+ Tumor-Infiltrating Lymphocytes and Survival Time in High-Grade Serous Ovarian Cancer

Author

Goode, Ellen L, Block, Matthew S, Kalli, Kimberly R, Vierkant, Robert A, Chen, Wenqian, Fogarty, Zachary C, Gentry-Maharaj, Aleksandra, Tołoczko, Aleksandra, Hein, Alexander, Bouligny, Aliecia L, Jensen, Allan, Osorio, Ana, Hartkopf, Andreas D, Ryan, Andy, Chudecka-Głaz, Anita, Magliocco, Anthony M, Hartmann, Arndt, Jung, Audrey Y, Gao, Bo, Hernandez, Brenda Y, Fridley, Brooke L, McCauley, Bryan M, Kennedy, Catherine J, Wang, Chen, Karpinskyj, Chloe, de Sousa, Christiani B, Tiezzi, Daniel G, Wachter, David L, Herpel, Esther, Taran, Florin Andrei, Modugno, Francesmary, Nelson, Gregg, Lubiński, Jan, Menkiszak, Janusz, Alsop, Jennifer, Lester, Jenny, García-Donas, Jesús, Nation, Jill, Hung, Jillian, Palacios, José, Rothstein, Joseph H, Kelley, Joseph L, de Andrade, Jurandyr M, Robles-Díaz, Luis, Intermaggio, Maria P, Widschwendter, Martin, Beckmann, Matthias W, Ruebner, Matthias, Jimenez-Linan, Mercedes, Singh, Naveena, Oszurek, Oleg, Harnett, Paul R, Rambau, Peter F, Sinn, Peter, Wagner, Philipp, Ghatage, Prafull, Sharma, Raghwa, Edwards, Robert P, Ness, Roberta B, Orsulic, Sandra, Brucker, Sara Y, Johnatty, Sharon E, Longacre, Teri A, Eilber, Ursula, McGuire, Valerie, Sieh, Weiva, Natanzon, Yanina, Li, Zheng, Whittemore, Alice S, deFazio, Anna, Staebler, Annette, Karlan, Beth Y, Gilks, Blake, Bowtell, David D, Høgdall, Estrid, dos Reis, Francisco J Candido, Steed, Helen, Campbell, Ian G, Gronwald, Jacek, Benítez, Javier, Koziak, Jennifer M, Chang-Claude, Jenny, Moysich, Kirsten B, Kelemen, Linda E, Cook, Linda S, Goodman, Marc T, García, María José, Fasching, Peter A, Kommoss, Stefan, Deen, Suha, Kjaer, Susanne K, Menon, Usha, Brenton, James D, Pharoah, Paul DP, Chenevix-Trench, Georgia, Huntsman, David G, Winham, Stacey J, Köbel, Martin, and Ramus, Susan J

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Immunology, Cancer, Prevention, Vaccine Related, Rare Diseases, Clinical Research, Ovarian Cancer, BRCA2 Protein, CD8 Antigens, Carcinoma, Ovarian Epithelial, Cohort Studies, Cystadenocarcinoma, Serous, Female, Humans, Lymphocytes, Tumor-Infiltrating, Middle Aged, Mutation, Neoplasm Grading, Ovarian Neoplasms, Prospective Studies, Survival Analysis, Treatment Outcome, Ovarian Tumor Tissue Analysis (OTTA) Consortium, Public Health and Health Services, Oncology and carcinogenesis
Abstract

ImportanceCytotoxic CD8+ tumor-infiltrating lymphocytes (TILs) participate in immune control of epithelial ovarian cancer; however, little is known about prognostic patterns of CD8+ TILs by histotype and in relation to other clinical factors.ObjectiveTo define the prognostic role of CD8+ TILs in epithelial ovarian cancer.Design, setting, and participantsThis was a multicenter observational, prospective survival cohort study of the Ovarian Tumor Tissue Analysis Consortium. More than 5500 patients, including 3196 with high-grade serous ovarian carcinomas (HGSOCs), were followed prospectively for over 24 650 person-years.ExposuresFollowing immunohistochemical analysis, CD8+ TILs were identified within the epithelial components of tumor islets. Patients were grouped based on the estimated number of CD8+ TILs per high-powered field: negative (none), low (1-2), moderate (3-19), and high (≥20). CD8+ TILs in a subset of patients were also assessed in a quantitative, uncategorized manner, and the functional form of associations with survival was assessed using penalized B-splines.Main outcomes and measuresOverall survival time.ResultsThe final sample included 5577 women; mean age at diagnosis was 58.4 years (median, 58.2 years). Among the 5 major invasive histotypes, HGSOCs showed the most infiltration. CD8+ TILs in HGSOCs were significantly associated with longer overall survival; median survival was 2.8 years for patients with no CD8+ TILs and 3.0 years, 3.8 years, and 5.1 years for patients with low, moderate, or high levels of CD8+ TILs, respectively (P value for trend = 4.2 × 10−16). A survival benefit was also observed among women with endometrioid and mucinous carcinomas, but not for those with the other histotypes. Among HGSOCs, CD8+ TILs were favorable regardless of extent of residual disease following cytoreduction, known standard treatment, and germline BRCA1 pathogenic mutation, but were not prognostic for BRCA2 mutation carriers. Evaluation of uncategorized CD8+ TIL counts showed a near-log-linear functional form.Conclusions and relevanceThis study demonstrates the histotype-specific nature of immune infiltration and provides definitive evidence for a dose-response relationship between CD8+ TILs and HGSOC survival. That the extent of infiltration is prognostic, not merely its presence or absence, suggests that understanding factors that drive infiltration will be the key to unraveling outcome heterogeneity in this cancer.

Published
2017

47. Dose-Response Association of CD8+ Tumor-Infiltrating Lymphocytes and Survival Time in High-Grade Serous Ovarian Cancer.

Author

Ovarian Tumor Tissue Analysis (OTTA) Consortium, Goode, Ellen L, Block, Matthew S, Kalli, Kimberly R, Vierkant, Robert A, Chen, Wenqian, Fogarty, Zachary C, Gentry-Maharaj, Aleksandra, Tołoczko, Aleksandra, Hein, Alexander, Bouligny, Aliecia L, Jensen, Allan, Osorio, Ana, Hartkopf, Andreas, Ryan, Andy, Chudecka-Głaz, Anita, Magliocco, Anthony M, Hartmann, Arndt, Jung, Audrey Y, Gao, Bo, Hernandez, Brenda Y, Fridley, Brooke L, McCauley, Bryan M, Kennedy, Catherine J, Wang, Chen, Karpinskyj, Chloe, de Sousa, Christiani B, Tiezzi, Daniel G, Wachter, David L, Herpel, Esther, Taran, Florin Andrei, Modugno, Francesmary, Nelson, Gregg, Lubiński, Jan, Menkiszak, Janusz, Alsop, Jennifer, Lester, Jenny, García-Donas, Jesús, Nation, Jill, Hung, Jillian, Palacios, José, Rothstein, Joseph H, Kelley, Joseph L, de Andrade, Jurandyr M, Robles-Díaz, Luis, Intermaggio, Maria P, Widschwendter, Martin, Beckmann, Matthias W, Ruebner, Matthias, Jimenez-Linan, Mercedes, Singh, Naveena, Oszurek, Oleg, Harnett, Paul R, Rambau, Peter F, Sinn, Peter, Wagner, Philipp, Ghatage, Prafull, Sharma, Raghwa, Edwards, Robert P, Ness, Roberta B, Orsulic, Sandra, Brucker, Sara Y, Johnatty, Sharon E, Longacre, Teri A, Ursula, Eilber, McGuire, Valerie, Sieh, Weiva, Natanzon, Yanina, Li, Zheng, Whittemore, Alice S, Anna, deFazio, Staebler, Annette, Karlan, Beth Y, Gilks, Blake, Bowtell, David D, Høgdall, Estrid, Candido dos Reis, Francisco J, Steed, Helen, Campbell, Ian G, Gronwald, Jacek, Benítez, Javier, Koziak, Jennifer M, Chang-Claude, Jenny, Moysich, Kirsten B, Kelemen, Linda E, Cook, Linda S, Goodman, Marc T, García, María José, Fasching, Peter A, Kommoss, Stefan, Deen, Suha, Kjaer, Susanne K, Menon, Usha, Brenton, James D, Pharoah, Paul DP, Chenevix-Trench, Georgia, Huntsman, David G, Winham, Stacey J, Köbel, Martin, and Ramus, Susan J

Subjects
Ovarian Tumor Tissue Analysis (OTTA) Consortium, Lymphocytes, Tumor-Infiltrating, Humans, Cystadenocarcinoma, Serous, Ovarian Neoplasms, BRCA2 Protein, Treatment Outcome, Survival Analysis, Cohort Studies, Prospective Studies, Mutation, Middle Aged, Female, Neoplasm Grading, CD8 Antigens, Carcinoma, Ovarian Epithelial, Lymphocytes, Tumor-Infiltrating, Cystadenocarcinoma, Serous, Carcinoma, Ovarian Epithelial, Cancer, Prevention, Ovarian Cancer, Rare Diseases, Vaccine Related, Clinical Research, Oncology and Carcinogenesis, Public Health and Health Services
Abstract

ImportanceCytotoxic CD8+ tumor-infiltrating lymphocytes (TILs) participate in immune control of epithelial ovarian cancer; however, little is known about prognostic patterns of CD8+ TILs by histotype and in relation to other clinical factors.ObjectiveTo define the prognostic role of CD8+ TILs in epithelial ovarian cancer.Design, setting, and participantsThis was a multicenter observational, prospective survival cohort study of the Ovarian Tumor Tissue Analysis Consortium. More than 5500 patients, including 3196 with high-grade serous ovarian carcinomas (HGSOCs), were followed prospectively for over 24 650 person-years.ExposuresFollowing immunohistochemical analysis, CD8+ TILs were identified within the epithelial components of tumor islets. Patients were grouped based on the estimated number of CD8+ TILs per high-powered field: negative (none), low (1-2), moderate (3-19), and high (≥20). CD8+ TILs in a subset of patients were also assessed in a quantitative, uncategorized manner, and the functional form of associations with survival was assessed using penalized B-splines.Main outcomes and measuresOverall survival time.ResultsThe final sample included 5577 women; mean age at diagnosis was 58.4 years (median, 58.2 years). Among the 5 major invasive histotypes, HGSOCs showed the most infiltration. CD8+ TILs in HGSOCs were significantly associated with longer overall survival; median survival was 2.8 years for patients with no CD8+ TILs and 3.0 years, 3.8 years, and 5.1 years for patients with low, moderate, or high levels of CD8+ TILs, respectively (P value for trend = 4.2 × 10−16). A survival benefit was also observed among women with endometrioid and mucinous carcinomas, but not for those with the other histotypes. Among HGSOCs, CD8+ TILs were favorable regardless of extent of residual disease following cytoreduction, known standard treatment, and germline BRCA1 pathogenic mutation, but were not prognostic for BRCA2 mutation carriers. Evaluation of uncategorized CD8+ TIL counts showed a near-log-linear functional form.Conclusions and relevanceThis study demonstrates the histotype-specific nature of immune infiltration and provides definitive evidence for a dose-response relationship between CD8+ TILs and HGSOC survival. That the extent of infiltration is prognostic, not merely its presence or absence, suggests that understanding factors that drive infiltration will be the key to unraveling outcome heterogeneity in this cancer.

Published
2017

48. Association analysis identifies 65 new breast cancer risk loci

Author

Michailidou, Kyriaki, Lindström, Sara, Dennis, Joe, Beesley, Jonathan, Hui, Shirley, Kar, Siddhartha, Lemaçon, Audrey, Soucy, Penny, Glubb, Dylan, Rostamianfar, Asha, Bolla, Manjeet K, Wang, Qin, Tyrer, Jonathan, Dicks, Ed, Lee, Andrew, Wang, Zhaoming, Allen, Jamie, Keeman, Renske, Eilber, Ursula, French, Juliet D, Qing Chen, Xiao, Fachal, Laura, McCue, Karen, McCart Reed, Amy E, Ghoussaini, Maya, Carroll, Jason S, Jiang, Xia, Finucane, Hilary, Adams, Marcia, Adank, Muriel A, Ahsan, Habibul, Aittomäki, Kristiina, Anton-Culver, Hoda, Antonenkova, Natalia N, Arndt, Volker, Aronson, Kristan J, Arun, Banu, Auer, Paul L, Bacot, François, Barrdahl, Myrto, Baynes, Caroline, Beckmann, Matthias W, Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Bernstein, Leslie, Blomqvist, Carl, Bogdanova, Natalia V, Bojesen, Stig E, Bonanni, Bernardo, Børresen-Dale, Anne-Lise, Brand, Judith S, Brauch, Hiltrud, Brennan, Paul, Brenner, Hermann, Brinton, Louise, Broberg, Per, Brock, Ian W, Broeks, Annegien, Brooks-Wilson, Angela, Brucker, Sara Y, Brüning, Thomas, Burwinkel, Barbara, Butterbach, Katja, Cai, Qiuyin, Cai, Hui, Caldés, Trinidad, Canzian, Federico, Carracedo, Angel, Carter, Brian D, Castelao, Jose E, Chan, Tsun L, David Cheng, Ting-Yuan, Seng Chia, Kee, Choi, Ji-Yeob, Christiansen, Hans, Clarke, Christine L, Collée, Margriet, Conroy, Don M, Cordina-Duverger, Emilie, Cornelissen, Sten, Cox, David G, Cox, Angela, Cross, Simon S, Cunningham, Julie M, Czene, Kamila, Daly, Mary B, Devilee, Peter, Doheny, Kimberly F, Dörk, Thilo, dos-Santos-Silva, Isabel, Dumont, Martine, Durcan, Lorraine, Dwek, Miriam, Eccles, Diana M, Ekici, Arif B, Eliassen, A Heather, Ellberg, Carolina, Elvira, Mingajeva, and Engel, Christoph

Subjects
Cancer, Asia, Asian People, Binding Sites, Breast Neoplasms, Computer Simulation, Europe, Female, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Multifactorial Inheritance, Polymorphism, Single Nucleotide, Regulatory Sequences, Nucleic Acid, Risk Assessment, Transcription Factors, White People, NBCS Collaborators, ABCTB Investigators, ConFab/AOCS Investigators, General Science & Technology
Abstract

Breast cancer risk is influenced by rare coding variants in susceptibility genes, such as BRCA1, and many common, mostly non-coding variants. However, much of the genetic contribution to breast cancer risk remains unknown. Here we report the results of a genome-wide association study of breast cancer in 122,977 cases and 105,974 controls of European ancestry and 14,068 cases and 13,104 controls of East Asian ancestry. We identified 65 new loci that are associated with overall breast cancer risk at P

Published
2017

49. Rel Family Transcription Factor NFAT5 Upregulates COX2 via HIF-1α Activity in Ishikawa and HEC1a Cells

Author

Okumura, Toshiyuki, primary, Raja Xavier, Janet P., additional, Pasternak, Jana, additional, Yang, Zhiqi, additional, Hang, Cao, additional, Nosirov, Bakhtiyor, additional, Singh, Yogesh, additional, Admard, Jakob, additional, Brucker, Sara Y., additional, Kommoss, Stefan, additional, Takeda, Satoru, additional, Staebler, Annette, additional, Lang, Florian, additional, and Salker, Madhuri S., additional

Published
2024
Full Text
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50. Human tissue-resident peritoneal macrophages reveal resistance towards oxidative cell stress induced by non-invasive physical plasma

Author

Schultze-Rhonhof, Laura, primary, Marzi, Julia, additional, Carvajal Berrio, Daniel Alejandro, additional, Holl, Myriam, additional, Braun, Theresa, additional, Schäfer-Ruoff, Felix, additional, Andress, Jürgen, additional, Bachmann, Cornelia, additional, Templin, Markus, additional, Brucker, Sara Y., additional, Schenke-Layland, Katja, additional, and Weiss, Martin, additional

Published
2024
Full Text
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