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

Author

Meagher, Nicola S, White, Kami K, Wilkens, Lynne R, Bandera, Elisa V, Berchuck, Andrew, Carney, Michael E, Cramer, Daniel W, Cushing-Haugen, Kara L, Jordan, Susan, Kaufmann, Scott H, Le, Nhu D, Pike, Malcolm C, Riggan, Marjorie, Qin, Bo, Rothstein, Joseph H, Titus, Linda, Winham, Stacey J, Anton-Culver, Hoda, Doherty, Jennifer A, Goode, Ellen L, Pearce, Celeste Leigh, Risch, Harvey A, Webb, Penelope M, Cook, Linda S, Goodman, Marc T, Harris, Holly R, Le Marchand, Loic, McGuire, Valerie, Pharoah, Paul DP, Sarink, Danja, Schildkraut, Joellen M, Sieh, Weiva, Terry, Kathryn L, Thompson, Pamela J, Whittemore, Alice S, Wu, Anna H, Peres, Lauren C, and Merritt, Melissa A

Subjects
Epidemiology, Health Sciences, Ovarian Cancer, Rare Diseases, Cancer, Minority Health, Prevention, Women's Health, Humans, Female, Ovarian Neoplasms, Middle Aged, Carcinoma, Ovarian Epithelial, Risk Factors, Adult, Native Hawaiian or Other Pacific Islander, Case-Control Studies, Aged, Sterilization, Tubal, Parity, Asian, White People, Hispanic or Latino, United States, Contraceptives, Oral, Logistic Models, Smoking, Neoplasms, Glandular and Epithelial, Ethnicity, Odds Ratio, ovarian cancer, risk factors, race, ethnicity, Mathematical Sciences, Medical and Health Sciences
Abstract

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

Published
2024

2. Concurrent RB1 Loss and BRCA Deficiency Predicts Enhanced Immunologic Response and Long-term Survival in Tubo-ovarian High-grade Serous Carcinoma

Author

Saner, Flurina AM, Takahashi, Kazuaki, Budden, Timothy, Pandey, Ahwan, Ariyaratne, Dinuka, Zwimpfer, Tibor A, Meagher, Nicola S, Fereday, Sian, Twomey, Laura, Pishas, Kathleen I, Hoang, Therese, Bolithon, Adelyn, Traficante, Nadia, Group, for the Australian Ovarian Cancer Study, Alsop, Kathryn, Christie, Elizabeth L, Kang, Eun-Young, Nelson, Gregg S, Ghatage, Prafull, Lee, Cheng-Han, Riggan, Marjorie J, Alsop, Jennifer, Beckmann, Matthias W, Boros, Jessica, Brand, Alison H, Brooks-Wilson, Angela, Carney, Michael E, Coulson, Penny, Courtney-Brooks, Madeleine, Cushing-Haugen, Kara L, Cybulski, Cezary, El-Bahrawy, Mona A, Elishaev, Esther, Erber, Ramona, Gayther, Simon A, Gentry-Maharaj, Aleksandra, Gilks, C Blake, Harnett, Paul R, Harris, Holly R, Hartmann, Arndt, Hein, Alexander, Hendley, Joy, Hernandez, Brenda Y, Jakubowska, Anna, Jimenez-Linan, Mercedes, Jones, Michael E, Kaufmann, Scott H, Kennedy, Catherine J, Kluz, Tomasz, Koziak, Jennifer M, Kristjansdottir, Björg, Le, Nhu D, Lener, Marcin, Lester, Jenny, Lubiński, Jan, Mateoiu, Constantina, Orsulic, Sandra, Ruebner, Matthias, Schoemaker, Minouk J, Shah, Mitul, Sharma, Raghwa, Sherman, Mark E, Shvetsov, Yurii B, Soong, T Rinda, Steed, Helen, Sukumvanich, Paniti, Talhouk, Aline, Taylor, Sarah E, Vierkant, Robert A, Wang, Chen, Widschwendter, Martin, Wilkens, Lynne R, Winham, Stacey J, Anglesio, Michael S, Berchuck, Andrew, Brenton, James D, Campbell, Ian, Cook, Linda S, Doherty, Jennifer A, Fasching, Peter A, Fortner, Renée T, Goodman, Marc T, Gronwald, Jacek, Huntsman, David G, Karlan, Beth Y, Kelemen, Linda E, Menon, Usha, Modugno, Francesmary, Pharoah, Paul DP, Schildkraut, Joellen M, Sundfeldt, Karin, Swerdlow, Anthony J, Goode, Ellen L, DeFazio, Anna, Köbel, Martin, Ramus, Susan J, Bowtell, David DL, and Garsed, Dale W

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Immunology, Genetics, Women's Health, Rare Diseases, Orphan Drug, Cancer Genomics, Ovarian Cancer, Precision Medicine, Human Genome, Cancer, 2.1 Biological and endogenous factors, Humans, Female, Ovarian Neoplasms, BRCA2 Protein, BRCA1 Protein, Cystadenocarcinoma, Serous, Retinoblastoma Binding Proteins, Prognosis, Ubiquitin-Protein Ligases, Neoplasm Grading, Lymphocytes, Tumor-Infiltrating, Middle Aged, Germ-Line Mutation, Gene Expression Regulation, Neoplastic, Aged, Biomarkers, Tumor, CD8-Positive T-Lymphocytes, Australian Ovarian Cancer Study Group, Oncology & Carcinogenesis, Clinical sciences, Oncology and carcinogenesis
Abstract

PurposeThe purpose of this study was to evaluate RB1 expression and survival across ovarian carcinoma histotypes and how co-occurrence of BRCA1 or BRCA2 (BRCA) alterations and RB1 loss influences survival in tubo-ovarian high-grade serous carcinoma (HGSC).Experimental designRB1 protein expression was classified by immunohistochemistry in ovarian carcinomas of 7,436 patients from the Ovarian Tumor Tissue Analysis consortium. We examined RB1 expression and germline BRCA status in a subset of 1,134 HGSC, and related genotype to overall survival (OS), tumor-infiltrating CD8+ lymphocytes, and transcriptomic subtypes. Using CRISPR-Cas9, we deleted RB1 in HGSC cells with and without BRCA1 alterations to model co-loss with treatment response. We performed whole-genome and transcriptome data analyses on 126 patients with primary HGSC to characterize tumors with concurrent BRCA deficiency and RB1 loss.ResultsRB1 loss was associated with longer OS in HGSC but with poorer prognosis in endometrioid ovarian carcinoma. Patients with HGSC harboring both RB1 loss and pathogenic germline BRCA variants had superior OS compared with patients with either alteration alone, and their median OS was three times longer than those without pathogenic BRCA variants and retained RB1 expression (9.3 vs. 3.1 years). Enhanced sensitivity to cisplatin and paclitaxel was seen in BRCA1-altered cells with RB1 knockout. Combined RB1 loss and BRCA deficiency correlated with transcriptional markers of enhanced IFN response, cell-cycle deregulation, and reduced epithelial-mesenchymal transition. CD8+ lymphocytes were most prevalent in BRCA-deficient HGSC with co-loss of RB1.ConclusionsCo-occurrence of RB1 loss and BRCA deficiency was associated with exceptionally long survival in patients with HGSC, potentially due to better treatment response and immune stimulation.

Published
2024

4. Genome-wide association analyses of ovarian cancer patients undergoing primary debulking surgery identify candidate genes for residual disease

Author

Ramachandran, Dhanya, Tyrer, Jonathan P, Kommoss, Stefan, DeFazio, Anna, Riggan, Marjorie J, Webb, Penelope M, Fasching, Peter A, Lambrechts, Diether, García, María J, Rodríguez-Antona, Cristina, Goodman, Marc T, Modugno, Francesmary, Moysich, Kirsten B, Karlan, Beth Y, Lester, Jenny, Kjaer, Susanne K, Jensen, Allan, Høgdall, Estrid, Goode, Ellen L, Cliby, William A, Kumar, Amanika, Wang, Chen, Cunningham, Julie M, Winham, Stacey J, Monteiro, Alvaro N, Schildkraut, Joellen M, Cramer, Daniel W, Terry, Kathryn L, Titus, Linda, Bjorge, Line, Thomsen, Liv Cecilie Vestrheim, Pejovic, Tanja, Høgdall, Claus K, McNeish, Iain A, May, Taymaa, Huntsman, David G, Pfisterer, Jacobus, Canzler, Ulrich, Park-Simon, Tjoung-Won, Schröder, Willibald, Belau, Antje, Hanker, Lars, Harter, Philipp, Sehouli, Jalid, Kimmig, Rainer, de Gregorio, Nikolaus, Schmalfeldt, Barbara, Baumann, Klaus, Hilpert, Felix, Burges, Alexander, Winterhoff, Boris, Schürmann, Peter, Speith, Lisa-Marie, Hillemanns, Peter, Berchuck, Andrew, Johnatty, Sharon E, Ramus, Susan J, Chenevix-Trench, Georgia, Pharoah, Paul DP, Dörk, Thilo, and Heitz, Florian

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Genetics, Women's Health, Human Genome, Ovarian Cancer, Prevention, Cancer, Orphan Drug, Clinical Research, Rare Diseases, 2.1 Biological and endogenous factors, AOCS Group, OPAL Study Group, Medical biotechnology
Abstract

Survival from ovarian cancer depends on the resection status after primary surgery. We performed genome-wide association analyses for resection status of 7705 ovarian cancer patients, including 4954 with high-grade serous carcinoma (HGSOC), to identify variants associated with residual disease. The most significant association with resection status was observed for rs72845444, upstream of MGMT, in HGSOC (p = 3.9 × 10-8). In gene-based analyses, PPP2R5C was the most strongly associated gene in HGSOC after stage adjustment. In an independent set of 378 ovarian tumours from the AGO-OVAR 11 study, variants near MGMT and PPP2R5C correlated with methylation and transcript levels, and PPP2R5C mRNA levels predicted progression-free survival in patients with residual disease. MGMT encodes a DNA repair enzyme, and PPP2R5C encodes the B56γ subunit of the PP2A tumour suppressor. Our results link heritable variation at these two loci with resection status in HGSOC.

Published
2024

5. p53 and ovarian carcinoma survival: an Ovarian Tumor Tissue Analysis consortium study

Author

Köbel, Martin, Kang, Eun‐Young, Weir, Ashley, Rambau, Peter F, Lee, Cheng‐Han, Nelson, Gregg S, Ghatage, Prafull, Meagher, Nicola S, Riggan, Marjorie J, Alsop, Jennifer, Anglesio, Michael S, Beckmann, Matthias W, Bisinotto, Christiani, Boisen, Michelle, Boros, Jessica, Brand, Alison H, Brooks‐Wilson, Angela, Carney, Michael E, Coulson, Penny, Courtney‐Brooks, Madeleine, Cushing‐Haugen, Kara L, Cybulski, Cezary, Deen, Suha, El‐Bahrawy, Mona A, Elishaev, Esther, Erber, Ramona, Fereday, Sian, Group, AOCS, Fischer, Anna, Gayther, Simon A, Barquin‐Garcia, Arantzazu, Gentry‐Maharaj, Aleksandra, Gilks, C Blake, Gronwald, Helena, Grube, Marcel, Harnett, Paul R, Harris, Holly R, Hartkopf, Andreas D, Hartmann, Arndt, Hein, Alexander, Hendley, Joy, Hernandez, Brenda Y, Huang, Yajue, Jakubowska, Anna, Jimenez‐Linan, Mercedes, Jones, Michael E, Kennedy, Catherine J, Kluz, Tomasz, Koziak, Jennifer M, Lesnock, Jaime, Lester, Jenny, Lubiński, Jan, Longacre, Teri A, Lycke, Maria, Mateoiu, Constantina, McCauley, Bryan M, McGuire, Valerie, Ney, Britta, Olawaiye, Alexander, Orsulic, Sandra, Osorio, Ana, Paz‐Ares, Luis, Ramón y Cajal, Teresa, Rothstein, Joseph H, Ruebner, Matthias, Schoemaker, Minouk J, Shah, Mitul, Sharma, Raghwa, Sherman, Mark E, Shvetsov, Yurii B, Singh, Naveena, Steed, Helen, Storr, Sarah J, Talhouk, Aline, Traficante, Nadia, Wang, Chen, Whittemore, Alice S, Widschwendter, Martin, Wilkens, Lynne R, Winham, Stacey J, Benitez, Javier, Berchuck, Andrew, Bowtell, David D, dos Reis, Francisco J Candido, Campbell, Ian, Cook, Linda S, DeFazio, Anna, Doherty, Jennifer A, Fasching, Peter A, Fortner, Renée T, García, María J, Goodman, Marc T, Goode, Ellen L, Gronwald, Jacek, Huntsman, David G, Karlan, Beth Y, Kelemen, Linda E, Kommoss, Stefan, Le, Nhu D, and Martin, Stewart G

Subjects
Reproductive Medicine, Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Cancer, Rare Diseases, Ovarian Cancer, Clinical Research, Aetiology, 2.1 Biological and endogenous factors, Humans, Female, Tumor Suppressor Protein p53, Ovarian Neoplasms, Carcinoma, Ovarian Epithelial, Carcinoma, Endometrioid, ovarian cancer, high-grade serous carcinoma, endometrioid, clear cell, TP53, p53, prognosis, AOCS Group, Clinical sciences
Abstract

Our objective was to test whether p53 expression status is associated with survival for women diagnosed with the most common ovarian carcinoma histotypes (high-grade serous carcinoma [HGSC], endometrioid carcinoma [EC], and clear cell carcinoma [CCC]) using a large multi-institutional cohort from the Ovarian Tumor Tissue Analysis (OTTA) consortium. p53 expression was assessed on 6,678 cases represented on tissue microarrays from 25 participating OTTA study sites using a previously validated immunohistochemical (IHC) assay as a surrogate for the presence and functional effect of TP53 mutations. Three abnormal expression patterns (overexpression, complete absence, and cytoplasmic) and the normal (wild type) pattern were recorded. Survival analyses were performed by histotype. The frequency of abnormal p53 expression was 93.4% (4,630/4,957) in HGSC compared to 11.9% (116/973) in EC and 11.5% (86/748) in CCC. In HGSC, there were no differences in overall survival across the abnormal p53 expression patterns. However, in EC and CCC, abnormal p53 expression was associated with an increased risk of death for women diagnosed with EC in multivariate analysis compared to normal p53 as the reference (hazard ratio [HR] = 2.18, 95% confidence interval [CI] 1.36-3.47, p = 0.0011) and with CCC (HR = 1.57, 95% CI 1.11-2.22, p = 0.012). Abnormal p53 was also associated with shorter overall survival in The International Federation of Gynecology and Obstetrics stage I/II EC and CCC. Our study provides further evidence that functional groups of TP53 mutations assessed by abnormal surrogate p53 IHC patterns are not associated with survival in HGSC. In contrast, we validate that abnormal p53 IHC is a strong independent prognostic marker for EC and demonstrate for the first time an independent prognostic association of abnormal p53 IHC with overall survival in patients with CCC.

Published
2023

6. Increased FOXJ1 protein expression is associated with improved overall survival in high-grade serous ovarian carcinoma: an Ovarian Tumor Tissue Analysis Consortium Study

Author

Weir, Ashley, Kang, Eun-Young, Meagher, Nicola S, Nelson, Gregg S, Ghatage, Prafull, Lee, Cheng-Han, Riggan, Marjorie J, Gentry-Maharaj, Aleksandra, Ryan, Andy, Singh, Naveena, Widschwendter, Martin, Alsop, Jennifer, Anglesio, Michael S, Beckmann, Matthias W, Berger, Jessica, Bisinotto, Christiani, Boros, Jessica, Brand, Alison H, Brenton, James D, Brooks-Wilson, Angela, Carney, Michael E, Cunningham, Julie M, Cushing-Haugen, Kara L, Cybulski, Cezary, Elishaev, Esther, Erber, Ramona, Fereday, Sian, Fischer, Anna, Paz-Ares, Luis, Gayarre, Javier, Gilks, Blake C, Grube, Marcel, Harnett, Paul R, Harris, Holly R, Hartmann, Arndt, Hein, Alexander, Hendley, Joy, Hernandez, Brenda Y, Heublein, Sabine, Huang, Yajue, Huzarski, Tomasz, Jakubowska, Anna, Jimenez-Linan, Mercedes, Kennedy, Catherine J, Kommoss, Felix KF, Koziak, Jennifer M, Kraemer, Bernhard, Le, Nhu D, Lesnock, Jaime, Lester, Jenny, Lubiński, Jan, Menkiszak, Janusz, Ney, Britta, Olawaiye, Alexander, Orsulic, Sandra, Osorio, Ana, Robles-Díaz, Luis, Ruebner, Matthias, Shah, Mitul, Sharma, Raghwa, Shvetsov, Yurii B, Steed, Helen, Talhouk, Aline, Taylor, Sarah E, Traficante, Nadia, Vierkant, Robert A, Wang, Chen, Wilkens, Lynne R, Winham, Stacey J, Benitez, Javier, Berchuck, Andrew, Bowtell, David D, Candido dos Reis, Francisco J, Cook, Linda S, DeFazio, Anna, Doherty, Jennifer A, Fasching, Peter A, García, María J, Goode, Ellen L, Goodman, Marc T, Gronwald, Jacek, Huntsman, David G, Karlan, Beth Y, Kommoss, Stefan, Modugno, Francesmary, Schildkraut, Joellen M, Sinn, Hans-Peter, Staebler, Annette, Kelemen, Linda E, Ford, Caroline E, Menon, Usha, Pharoah, Paul DP, Köbel, Martin, and Ramus, Susan J

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Genetics, Ovarian Cancer, Clinical Research, Rare Diseases, Cancer, Aetiology, 2.1 Biological and endogenous factors, Humans, Female, Ovarian Neoplasms, Prognosis, Survival Analysis, RNA, Messenger, Cystadenocarcinoma, Serous, Biomarkers, Tumor, Forkhead Transcription Factors, AOCs group, Public Health and Health Services, Oncology & Carcinogenesis, Oncology and carcinogenesis
Abstract

BackgroundRecently, we showed a >60% difference in 5-year survival for patients with tubo-ovarian high-grade serous carcinoma (HGSC) when stratified by a 101-gene mRNA expression prognostic signature. Given the varied patient outcomes, this study aimed to translate prognostic mRNA markers into protein expression assays by immunohistochemistry and validate their survival association in HGSC.MethodsTwo prognostic genes, FOXJ1 and GMNN, were selected based on high-quality antibodies, correlation with protein expression and variation in immunohistochemical scores in a preliminary cohort (n = 134 and n = 80, respectively). Six thousand four hundred and thirty-four (FOXJ1) and 5470 (GMNN) formalin-fixed, paraffin-embedded ovarian neoplasms (4634 and 4185 HGSC, respectively) represented on tissue microarrays from the Ovarian Tumor Tissue Analysis consortium underwent immunohistochemical staining and scoring, then univariate and multivariate survival analysis.ResultsConsistent with mRNA, FOXJ1 protein expression exhibited a linear, increasing association with improved overall survival in HGSC patients. Women with >50% expression had the most favourable outcomes (HR = 0.78, 95% CI 0.67-0.91, p 35% GMNN expression showed a trend for better outcomes, though this was not significant.ConclusionWe provide foundational evidence for the prognostic value of FOXJ1 in HGSC, validating the prior mRNA-based prognostic association by immunohistochemistry.

Published
2023

7. Molecular subclasses of clear cell ovarian carcinoma and their impact on disease behavior and outcomes

Author

Bolton, Kelly L, Chen, Denise, de la Fuente, Rosario I Corona, Fu, Zhuxuan, Murali, Rajmohan, K�bel, Martin, Tazi, Yanis, Cunningham, Julie M, Chan, Irenaeus CC, Wiley, Brian J, Moukarzel, Lea A, Winham, Stacey J, Armasu, Sebastian M, Lester, Jenny, Elishaev, Esther, Laslavic, Angela, Kennedy, Catherine J, Piskorz, Anna, Sekowska, Magdalena, Brand, Alison H, Chiew, Yoke-Eng, Pharoah, Paul, Elias, Kevin M, Drapkin, Ronny, Churchman, Michael, Gourley, Charlie, DeFazio, Anna, Karlan, Beth, Brenton, James D, Weigelt, Britta, Anglesio, Michael S, Huntsman, David, Gayther, Simon A, Konner, Jason, Modugno, Francesmary, Lawrenson, Kate, Goode, Ellen L, and Papaemmanuil, Elli

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Women's Health, Human Genome, Genetics, Rare Diseases, Cancer, Biotechnology, Cancer Genomics, Precision Medicine, Clinical Research, 2.1 Biological and endogenous factors, Good Health and Well Being, Female, Humans, Ovarian Neoplasms, Adenocarcinoma, Clear Cell, Mutation, Endometriosis, Oncology & Carcinogenesis, Clinical sciences, Oncology and carcinogenesis
Abstract

PurposeTo identify molecular subclasses of clear cell ovarian carcinoma (CCOC) and assess their impact on clinical presentation and outcomes.Experimental designWe profiled 421 primary CCOCs that passed quality control using a targeted deep sequencing panel of 163 putative CCOC driver genes and whole transcriptome sequencing of 211 of these tumors. Molecularly defined subgroups were identified and tested for association with clinical characteristics and overall survival.ResultsWe detected a putative somatic driver mutation in at least one candidate gene in 95% (401/421) of CCOC tumors including ARID1A (in 49% of tumors), PIK3CA (49%), TERT (20%), and TP53 (16%). Clustering of cancer driver mutations and RNA expression converged upon two distinct subclasses of CCOC. The first was dominated by ARID1A-mutated tumors with enriched expression of canonical CCOC genes and markers of platinum resistance; the second was largely comprised of tumors with TP53 mutations and enriched for the expression of genes involved in extracellular matrix organization and mesenchymal differentiation. Compared with the ARID1A-mutated group, women with TP53-mutated tumors were more likely to have advanced-stage disease, no antecedent history of endometriosis, and poorer survival, driven by their advanced stage at presentation. In women with ARID1A-mutated tumors, there was a trend toward a lower rate of response to first-line platinum-based therapy.ConclusionsOur study suggests that CCOC consists of two distinct molecular subclasses with distinct clinical presentation and outcomes, with potential relevance to both traditional and experimental therapy responsiveness. See related commentary by Lheureux, p. 4838.

Published
2022

8. Integrative multi-omics analyses to identify the genetic and functional mechanisms underlying ovarian cancer risk regions

Author

Dareng, Eileen O., Coetzee, Simon G., Tyrer, Jonathan P., Peng, Pei-Chen, Rosenow, Will, Chen, Stephanie, Davis, Brian D., Dezem, Felipe Segato, Seo, Ji-Heui, Nameki, Robbin, Reyes, Alberto L., Aben, Katja K.H., Anton-Culver, Hoda, Antonenkova, Natalia N., Aravantinos, Gerasimos, Bandera, Elisa V., Beane Freeman, Laura E., Beckmann, Matthias W., Beeghly-Fadiel, Alicia, Benitez, Javier, Bernardini, Marcus Q., Bjorge, Line, Black, Amanda, Bogdanova, Natalia V., Bolton, Kelly L., Brenton, James D., Budzilowska, Agnieszka, Butzow, Ralf, Cai, Hui, Campbell, Ian, Cannioto, Rikki, Chang-Claude, Jenny, Chanock, Stephen J., Chen, Kexin, Chenevix-Trench, Georgia, Chiew, Yoke-Eng, Cook, Linda S., DeFazio, Anna, Dennis, Joe, Doherty, Jennifer A., Dörk, Thilo, du Bois, Andreas, Dürst, Matthias, Eccles, Diana M., Ene, Gabrielle, Fasching, Peter A., Flanagan, James M., Fortner, Renée T., Fostira, Florentia, Gentry-Maharaj, Aleksandra, Giles, Graham G., Goodman, Marc T., Gronwald, Jacek, Haiman, Christopher A., Håkansson, Niclas, Heitz, Florian, Hildebrandt, Michelle A.T., Høgdall, Estrid, Høgdall, Claus K., Huang, Ruea-Yea, Jensen, Allan, Jones, Michael E., Kang, Daehee, Karlan, Beth Y., Karnezis, Anthony N., Kelemen, Linda E., Kennedy, Catherine J., Khusnutdinova, Elza K., Kiemeney, Lambertus A., Kjaer, Susanne K., Kupryjanczyk, Jolanta, Labrie, Marilyne, Lambrechts, Diether, Larson, Melissa C., Le, Nhu D., Lester, Jenny, Li, Lian, Lubiński, Jan, Lush, Michael, Marks, Jeffrey R., Matsuo, Keitaro, May, Taymaa, McLaughlin, John R., McNeish, Iain A., Menon, Usha, Missmer, Stacey, Modugno, Francesmary, Moffitt, Melissa, Monteiro, Alvaro N., Moysich, Kirsten B., Narod, Steven A., Nguyen-Dumont, Tu, Odunsi, Kunle, Olsson, Håkan, Onland-Moret, N. Charlotte, Park, Sue K., Pejovic, Tanja, Permuth, Jennifer B., Piskorz, Anna, Prokofyeva, Darya, Riggan, Marjorie J., Risch, Harvey A., Rodríguez-Antona, Cristina, Rossing, Mary Anne, Sandler, Dale P., Setiawan, V. Wendy, Shan, Kang, Song, Honglin, Southey, Melissa C., Steed, Helen, Sutphen, Rebecca, Swerdlow, Anthony J., Teo, Soo Hwang, Terry, Kathryn L., Thompson, Pamela J., Vestrheim Thomsen, Liv Cecilie, Titus, Linda, Trabert, Britton, Travis, Ruth, Tworoger, Shelley S., Valen, Ellen, Van Nieuwenhuysen, Els, Edwards, Digna Velez, Vierkant, Robert A., Webb, Penelope M., Weinberg, Clarice R., Weise, Rayna Matsuno, Wentzensen, Nicolas, White, Emily, Winham, Stacey J., Wolk, Alicja, Woo, Yin-Ling, Wu, Anna H., Yan, Li, Yannoukakos, Drakoulis, Zeinomar, Nur, Zheng, Wei, Ziogas, Argyrios, Berchuck, Andrew, Goode, Ellen L., Huntsman, David G., Pearce, Celeste L., Ramus, Susan J., Sellers, Thomas A., Freedman, Matthew L., Lawrenson, Kate, Schildkraut, Joellen M., Hazelett, Dennis, Plummer, Jasmine T., Kar, Siddhartha, Jones, Michelle R., Pharoah, Paul D.P., and Gayther, Simon A.

Published
2024
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9. A genome-wide gene-environment interaction study of breast cancer risk for women of European ancestry

Author

Middha, Pooja, Wang, Xiaoliang, Behrens, Sabine, Bolla, Manjeet K., Wang, Qin, Dennis, Joe, Michailidou, Kyriaki, Ahearn, Thomas U., Andrulis, Irene L., Anton-Culver, Hoda, Arndt, Volker, Aronson, Kristan J., Auer, Paul L., Augustinsson, Annelie, Baert, Thaïs, Freeman, Laura E. Beane, Becher, Heiko, Beckmann, Matthias W., Benitez, Javier, Bojesen, Stig E., Brauch, Hiltrud, Brenner, Hermann, Brooks-Wilson, Angela, Campa, Daniele, Canzian, Federico, Carracedo, Angel, Castelao, Jose E., Chanock, Stephen J., Chenevix-Trench, Georgia, Cordina-Duverger, Emilie, Couch, Fergus J., Cox, Angela, Cross, Simon S., Czene, Kamila, Dossus, Laure, Dugué, Pierre-Antoine, Eliassen, A. Heather, Eriksson, Mikael, Evans, D. Gareth, Fasching, Peter A., Figueroa, Jonine D., Fletcher, Olivia, Flyger, Henrik, Gabrielson, Marike, Gago-Dominguez, Manuela, Giles, Graham G., González-Neira, Anna, Grassmann, Felix, Grundy, Anne, Guénel, Pascal, Haiman, Christopher A., Håkansson, Niclas, Hall, Per, Hamann, Ute, Hankinson, Susan E., Harkness, Elaine F., Holleczek, Bernd, Hoppe, Reiner, Hopper, John L., Houlston, Richard S., Howell, Anthony, Hunter, David J., Ingvar, Christian, Isaksson, Karolin, Jernström, Helena, John, Esther M., Jones, Michael E., Kaaks, Rudolf, Keeman, Renske, Kitahara, Cari M., Ko, Yon-Dschun, Koutros, Stella, Kurian, Allison W., Lacey, James V., Lambrechts, Diether, Larson, Nicole L., Larsson, Susanna, Le Marchand, Loic, Lejbkowicz, Flavio, Li, Shuai, Linet, Martha, Lissowska, Jolanta, Martinez, Maria Elena, Maurer, Tabea, Mulligan, Anna Marie, Mulot, Claire, Murphy, Rachel A., Newman, William G., Nielsen, Sune F., Nordestgaard, Børge G., Norman, Aaron, O’Brien, Katie M., Olson, Janet E., Patel, Alpa V., Prentice, Ross, Rees-Punia, Erika, Rennert, Gad, Rhenius, Valerie, Ruddy, Kathryn J., Sandler, Dale P., Scott, Christopher G., Shah, Mitul, Shu, Xiao-Ou, Smeets, Ann, Southey, Melissa C., Stone, Jennifer, Tamimi, Rulla M., Taylor, Jack A., Teras, Lauren R., Tomczyk, Katarzyna, Troester, Melissa A., Truong, Thérèse, Vachon, Celine M., Wang, Sophia S., Weinberg, Clarice R., Wildiers, Hans, Willett, Walter, Winham, Stacey J., Wolk, Alicja, Yang, Xiaohong R., Zamora, M. Pilar, Zheng, Wei, Ziogas, Argyrios, Dunning, Alison M., Pharoah, Paul D. P., García-Closas, Montserrat, Schmidt, Marjanka K., Kraft, Peter, Milne, Roger L., Lindström, Sara, Easton, Douglas F., and Chang-Claude, Jenny

Published
2023
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10. MCM3 is a novel proliferation marker associated with longer survival for patients with tubo-ovarian high-grade serous carcinoma

Author

Kang, Eun Young, Millstein, Joshua, Popovic, Gordana, Meagher, Nicola S, Bolithon, Adelyn, Talhouk, Aline, Chiu, Derek S, Anglesio, Michael S, Leung, Betty, Tang, Katrina, Lambie, Neil, Pavanello, Marina, Da-anoy, Annalyn, Lambrechts, Diether, Loverix, Liselore, Olbrecht, Siel, Bisinotto, Christiani, Garcia-Donas, Jesus, Ruiz-Llorente, Sergio, Yagüe-Fernandez, Monica, Edwards, Robert P, Elishaev, Esther, Olawaiye, Alexander, Taylor, Sarah, Ataseven, Beyhan, du Bois, Andreas, Harter, Philipp, Lester, Jenny, Høgdall, Claus K, Armasu, Sebastian M, Huang, Yajue, Vierkant, Robert A, Wang, Chen, Winham, Stacey J, Heublein, Sabine, Kommoss, Felix KF, Cramer, Daniel W, Sasamoto, Naoko, van-Wagensveld, Lilian, Lycke, Maria, Mateoiu, Constantina, Joseph, Janine, Pike, Malcolm C, Odunsi, Kunle, Tseng, Chiu-Chen, Pearce, Celeste L, Bilic, Sanela, Conrads, Thomas P, Hartmann, Arndt, Hein, Alexander, Jones, Michael E, Leung, Yee, Beckmann, Matthias W, Ruebner, Matthias, Schoemaker, Minouk J, Terry, Kathryn L, El-Bahrawy, Mona A, Coulson, Penny, Etter, John L, LaVigne-Mager, Katherine, Andress, Juergen, Grube, Marcel, Fischer, Anna, Neudeck, Nina, Robertson, Greg, Farrell, Rhonda, Barlow, Ellen, Quinn, Carmel, Hettiaratchi, Anusha, Casablanca, Yovanni, Erber, Ramona, Stewart, Colin JR, Tan, Adeline, Yu, Yu, Boros, Jessica, Brand, Alison H, Harnett, Paul R, Kennedy, Catherine J, Nevins, Nikilyn, Morgan, Terry, Fasching, Peter A, Vergote, Ignace, Swerdlow, Anthony J, Candido dos Reis, Francisco J, Maxwell, G Larry, Neuhausen, Susan L, Barquin-Garcia, Arantzazu, Modugno, Francesmary, Moysich, Kirsten B, Crowe, Philip J, Hirasawa, Akira, Heitz, Florian, Karlan, Beth Y, Goode, Ellen L, Sinn, Peter, Horlings, Hugo M, Høgdall, Estrid, Sundfeldt, Karin, Kommoss, Stefan, and Staebler, Annette

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Women's Health, Infectious Diseases, HIV/AIDS, Cancer, Rare Diseases, Sexually Transmitted Infections, Genetics, 5.1 Pharmaceuticals, 2.1 Biological and endogenous factors, Biomarkers, Tumor, Cell Proliferation, Cystadenocarcinoma, Serous, Female, Humans, Ki-67 Antigen, Minichromosome Maintenance Complex Component 3, Ovarian Neoplasms, RNA, Messenger, Survival Rate, High-grade serous carcinoma, Proliferation, MCM3, Clinical Sciences, Pathology, Clinical sciences
Abstract

Tubo-ovarian high-grade serous carcinomas (HGSC) are highly proliferative neoplasms that generally respond well to platinum/taxane chemotherapy. We recently identified minichromosome maintenance complex component 3 (MCM3), which is involved in the initiation of DNA replication and proliferation, as a favorable prognostic marker in HGSC. Our objective was to further validate whether MCM3 mRNA expression and possibly MCM3 protein levels are associated with survival in patients with HGSC. MCM3 mRNA expression was measured using NanoString expression profiling on formalin-fixed and paraffin-embedded tissue (N = 2355 HGSC) and MCM3 protein expression was assessed by immunohistochemistry (N = 522 HGSC) and compared with Ki-67. Kaplan-Meier curves and the Cox proportional hazards model were used to estimate associations with survival. Among chemotherapy-naïve HGSC, higher MCM3 mRNA expression (one standard deviation increase in the score) was associated with longer overall survival (HR = 0.87, 95% CI 0.81-0.92, p

Published
2022

11. High pre-diagnosis inflammation-related risk score associated with decreased ovarian cancer survival

Author

Brieger, Katharine K, Phung, Minh Tung, Mukherjee, Bhramar, Bakulski, Kelly M, Anton-Culver, Hoda, Bandera, Elisa V, Bowtell, David DL, Cramer, Daniel W, DeFazio, Anna, Doherty, Jennifer A, Fereday, Sian, Fortner, Renée Turzanski, Gentry-Maharaj, Aleksandra, Goode, Ellen L, Goodman, Marc T, Harris, Holly R, Matsuo, Keitaro, Menon, Usha, Modugno, Francesmary, Moysich, Kirsten B, Qin, Bo, Ramus, Susan J, Risch, Harvey A, Rossing, Mary Anne, Schildkraut, Joellen M, Trabert, Britton, Vierkant, Robert A, Winham, Stacey J, Wentzensen, Nicolas, Wu, Anna H, Ziogas, Argyrios, Khoja, Lilah, Cho, Kathleen R, McLean, Karen, Richardson, Jean, Grout, Bronwyn, Chase, Anne, Deurloo, Cindy McKinnon, Odunsi, Kunle, Nelson, Brad H, Brenton, James D, Terry, Kathryn L, Pharoah, Paul DP, Berchuck, Andrew, Hanley, Gillian E, Webb, Penelope M, Pike, Malcolm C, and Pearce, Celeste Leigh

Subjects
Epidemiology, Biomedical and Clinical Sciences, Health Sciences, Tobacco Smoke and Health, Prevention, Ovarian Cancer, Tobacco, Cancer, Rare Diseases, Aetiology, 2.1 Biological and endogenous factors, Good Health and Well Being, Aged, Carcinoma, Ovarian Epithelial, Female, Health Behavior, Humans, Inflammation, Middle Aged, Ovarian Neoplasms, Proportional Hazards Models, Risk Assessment, Ovarian Cancer Association Consortium, Medical and Health Sciences, Biomedical and clinical sciences, Health sciences
Abstract

BackgroundThere is suggestive evidence that inflammation is related to ovarian cancer survival. However, more research is needed to identify inflammation-related factors that are associated with ovarian cancer survival and to determine their combined effects.MethodsThis analysis used pooled data on 8,147 women with invasive epithelial ovarian cancer from the Ovarian Cancer Association Consortium. The prediagnosis inflammation-related exposures of interest included alcohol use; aspirin use; other nonsteroidal anti-inflammatory drug use; body mass index; environmental tobacco smoke exposure; history of pelvic inflammatory disease, polycystic ovarian syndrome, and endometriosis; menopausal hormone therapy use; physical inactivity; smoking status; and talc use. Using Cox proportional hazards models, the relationship between each exposure and survival was assessed in 50% of the data. A weighted inflammation-related risk score (IRRS) was developed, and its association with survival was assessed using Cox proportional hazards models in the remaining 50% of the data.ResultsThere was a statistically significant trend of increasing risk of death per quartile of the IRRS [HR = 1.09; 95% confidence interval (CI), 1.03-1.14]. Women in the upper quartile of the IRRS had a 31% higher death rate compared with the lowest quartile (95% CI, 1.11-1.54).ConclusionsA higher prediagnosis IRRS was associated with an increased mortality risk after an ovarian cancer diagnosis. Further investigation is warranted to evaluate whether postdiagnosis exposures are also associated with survival.ImpactGiven that pre- and postdiagnosis exposures are often correlated and many are modifiable, our study results can ultimately motivate the development of behavioral recommendations to enhance survival among patients with ovarian cancer.

Published
2022

12. CA-125 Levels Are Predictive of Survival in Low-Grade Serous Ovarian Cancer—A Multicenter Analysis

Author

Wohlmuth, Christoph, Djedovic, Vladimir, Kjaer, Susanne K, Jensen, Allan, Glasspool, Rosalind, Roxburgh, Patricia, DeFazio, Anna, Johnatty, Sharon E, Webb, Penelope M, Modugno, Francesmary, Lambrechts, Diether, Schildkraut, Joellen M, Berchuck, Andrew, Thomsen, Liv Cecilie Vestrheim, Bjorge, Line, Høgdall, Estrid, Høgdall, Claus K, Goode, Ellen L, Winham, Stacey J, Matsuo, Keitaro, Karlan, Beth Y, Lester, Jenny, Goodman, Marc T, Thompson, Pamela J, Pejovic, Tanja, Riggan, Marjorie J, Lajkosz, Katherine, Tone, Alicia, and May, Taymaa

Subjects
Cancer, Prevention, Clinical Research, Rare Diseases, Ovarian Cancer, ovarian cancer, low-grade serous cancer, CA-125, survival, Oncology and Carcinogenesis
Abstract

ObjectiveStudies on low-grade serous ovarian cancer (LGSC) are limited by a low number of cases. The aim of this study was to define the prognostic significance of age, stage, and CA-125 levels on survival in a multi-institutional cohort of women with pathologically confirmed LGSC.MethodsWomen with LGSC were identified from the collaborative Ovarian Cancer Association Consortium (OCAC). Cases of newly diagnosed primary LGSC were included if peri-operative CA-125 levels were available. Age at diagnosis, FIGO stage, pre- and post-treatment CA-125 levels, residual disease, adjuvant chemotherapy, disease recurrence, and vital status were collected by the participating institutions. Progression-free (PFS) and overall survival (OS) were calculated. Multivariable (MVA) Cox proportional hazard models were used and hazard ratios (HR) calculated.ResultsA total of 176 women with LGSC were included in this study; 82% had stage III/IV disease. The median PFS was 2.3 years and the median OS was 6.4 years. Age at diagnosis was not significantly associated with worse PFS (p = 0.23) or OS (p = 0.3) (HR per year: 0.99; 95%CI, 0.96-1.01 and 0.98; 95%CI 0.95-1.01). FIGO stage III/IV was independently associated with PFS (HR 4.26, 95%CI 1.43-12.73) and OS (HR 1.69, 95%CI 0.56-5.05). Elevated CA-125 (≥35 U/mL) at diagnosis was not significantly associated with worse PFS (p = 0.87) or OS (p = 0.78) in MVA. Elevated CA-125 (≥35 U/mL) after completion of primary treatment was independently associated with worse PFS (HR 2.81, 95%CI 1.36-5.81) and OS (HR 6.62, 95%CI 2.45-17.92). In the MVA, residual disease was independently associated with PFS (0.022), but not OS (0.85).ConclusionAdvanced LGSC was associated with poor long-term prognosis. FIGO stage and abnormal post-treatment CA-125 level are key prognostic factors inversely associated with PFS and OS.Highlights1. Through a multi-center collaborative effort, data from 176 women with low-grade serous ovarian cancer were analyzed. 2. Although low-grade serous ovarian cancer is often considered indolent, the progression-free and overall survival are poor. 3. Elevated post-treatment CA-125 levels are independently associated with poor survival.

Published
2022

13. DNA Methylation Profiles of Ovarian Clear Cell Carcinoma

Author

Cunningham, Julie M, Winham, Stacey J, Wang, Chen, Weiglt, Britta, Fu, Zhuxuan, Armasu, Sebastian M, McCauley, Bryan M, Brand, Alison H, Chiew, Yoke-Eng, Elishaev, Esther, Gourley, Charlie, Kennedy, Catherine J, Laslavic, Angela, Lester, Jenny, Piskorz, Anna, Sekowska, Magdalena, Brenton, James D, Churchman, Michael, DeFazio, Anna, Drapkin, Ronny, Elias, Kevin M, Huntsman, David G, Karlan, Beth Y, Köbel, Martin, Konner, Jason, Lawrenson, Kate, Papaemmanuil, Elli, Bolton, Kelly L, Modugno, Francesmary, and Goode, Ellen L

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Cancer, Ovarian Cancer, Rare Diseases, Human Genome, Genetics, 2.1 Biological and endogenous factors, Aetiology, Adenocarcinoma, Clear Cell, Adult, Aged, Aged, 80 and over, Aneuploidy, Class I Phosphatidylinositol 3-Kinases, CpG Islands, DNA Methylation, DNA-Binding Proteins, Disease Progression, Female, Gene Expression Profiling, Gene Expression Regulation, Neoplastic, Humans, Middle Aged, Mutation, Neoplasm Staging, Ovarian Neoplasms, Prognosis, Transcription Factors, Tumor Suppressor Protein p53, Medical and Health Sciences, Epidemiology, Biomedical and clinical sciences, Health sciences
Abstract

BackgroundOvarian clear cell carcinoma (OCCC) is a rare ovarian cancer histotype that tends to be resistant to standard platinum-based chemotherapeutics. We sought to better understand the role of DNA methylation in clinical and biological subclassification of OCCC.MethodsWe interrogated genome-wide methylation using DNA from fresh frozen tumors from 271 cases, applied nonsmooth nonnegative matrix factorization (nsNMF) clustering, and evaluated clinical associations and biological pathways.ResultsTwo approximately equally sized clusters that associated with several clinical features were identified. Compared with Cluster 2 (N = 137), Cluster 1 cases (N = 134) presented at a more advanced stage, were less likely to be of Asian ancestry, and tended to have poorer outcomes including macroscopic residual disease following primary debulking surgery (P < 0.10). Subset analyses of targeted tumor sequencing and IHC data revealed that Cluster 1 tumors showed TP53 mutation and abnormal p53 expression, and Cluster 2 tumors showed aneuploidy and ARID1A/PIK3CA mutation (P < 0.05). Cluster-defining CpGs included 1,388 CpGs residing within 200 bp of the transcription start sites of 977 genes; 38% of these genes (N = 369 genes) were differentially expressed across cluster in transcriptomic subset analysis (P < 10-4). Differentially expressed genes were enriched for six immune-related pathways, including IFNα and IFNγ responses (P < 10-6).ConclusionsDNA methylation clusters in OCCC correlate with disease features and gene expression patterns among immune pathways.ImpactThis work serves as a foundation for integrative analyses that better understand the complex biology of OCCC in an effort to improve potential for development of targeted therapeutics.

Published
2022

14. Genome-wide interaction analysis of menopausal hormone therapy use and breast cancer risk among 62,370 women

Author

Wang, Xiaoliang, Kapoor, Pooja Middha, Auer, Paul L, Dennis, Joe, Dunning, Alison M, Wang, Qin, Lush, Michael, Michailidou, Kyriaki, Bolla, Manjeet K, Aronson, Kristan J, Murphy, Rachel A, Brooks-Wilson, Angela, Lee, Derrick G, Cordina-Duverger, Emilie, Guénel, Pascal, Truong, Thérèse, Mulot, Claire, Teras, Lauren R, Patel, Alpa V, Dossus, Laure, Kaaks, Rudolf, Hoppe, Reiner, Lo, Wing-Yee, Brüning, Thomas, Hamann, Ute, Czene, Kamila, Gabrielson, Marike, Hall, Per, Eriksson, Mikael, Jung, Audrey, Becher, Heiko, Couch, Fergus J, Larson, Nicole L, Olson, Janet E, Ruddy, Kathryn J, Giles, Graham G, MacInnis, Robert J, Southey, Melissa C, Le Marchand, Loic, Wilkens, Lynne R, Haiman, Christopher A, Olsson, Håkan, Augustinsson, Annelie, Krüger, Ute, Wagner, Philippe, Scott, Christopher, Winham, Stacey J, Vachon, Celine M, Perou, Charles M, Olshan, Andrew F, Troester, Melissa A, Hunter, David J, Eliassen, Heather A, Tamimi, Rulla M, Brantley, Kristen, Andrulis, Irene L, Figueroa, Jonine, Chanock, Stephen J, Ahearn, Thomas U, García-Closas, Montserrat, Evans, Gareth D, Newman, William G, van Veen, Elke M, Howell, Anthony, Wolk, Alicja, Håkansson, Niclas, Anton-Culver, Hoda, Ziogas, Argyrios, Jones, Michael E, Orr, Nick, Schoemaker, Minouk J, Swerdlow, Anthony J, Kitahara, Cari M, Linet, Martha, Prentice, Ross L, Easton, Douglas F, Milne, Roger L, Kraft, Peter, Chang-Claude, Jenny, and Lindström, Sara

Subjects
Genetics, Cancer, Aging, Human Genome, Breast Cancer, Prevention, Estrogen, 2.1 Biological and endogenous factors, Aetiology, Breast, Breast Neoplasms, Estrogen Replacement Therapy, Female, Hormone Replacement Therapy, Humans, Male, Menopause, Risk Factors
Abstract

Use of menopausal hormone therapy (MHT) is associated with increased risk for breast cancer. However, the relevant mechanisms and its interaction with genetic variants are not fully understood. We conducted a genome-wide interaction analysis between MHT use and genetic variants for breast cancer risk in 27,585 cases and 34,785 controls from 26 observational studies. All women were post-menopausal and of European ancestry. Multivariable logistic regression models were used to test for multiplicative interactions between genetic variants and current MHT use. We considered interaction p-values

Published
2022

15. Identification of a Locus Near ULK1 Associated With Progression-Free Survival in Ovarian Cancer

Author

Quinn, Michael CJ, McCue, Karen, Shi, Wei, Johnatty, Sharon E, Beesley, Jonathan, Civitarese, Andrew, O'Mara, Tracy A, Glubb, Dylan M, Tyrer, Jonathan P, Armasu, Sebastian M, Ong, Jue-Sheng, Gharahkhani, Puya, Lu, Yi, Gao, Bo, Patch, Ann-Marie, Fasching, Peter A, Beckmann, Matthias W, Lambrechts, Diether, Vergote, Ignace, Edwards, Digna R Velez, Beeghly-Fadiel, Alicia, Benitez, Javier, Garcia, Maria J, Goodman, Marc T, Dörk, Thilo, Dürst, Matthias, Modugno, Francesmary, Moysich, Kirsten, du Bois, Andreas, Pfisterer, Jacobus, Bauman, Klaus, Group, for the AGO Study, Karlan, Beth Y, Lester, Jenny, Cunningham, Julie M, Larson, Melissa C, McCauley, Bryan M, Kjaer, Susanne K, Jensen, Allan, Hogdall, Claus K, Hogdall, Estrid, Schildkraut, Joellen M, Riggan, Marjorie J, Berchuck, Andrew, Cramer, Daniel W, Terry, Kathryn L, Bjorge, Line, Webb, Penelope M, Group, for the OPAL Study, Friedlander, Michael, Pejovic, Tanja, Moffitt, Melissa, Glasspool, Rosalind, May, Taymaa, Ene, Gabrielle EV, Huntsman, David G, Woo, Michelle, Carney, Michael E, Hinsley, Samantha, Heitz, Florian, Fereday, Sian, Kennedy, Catherine J, Edwards, Stacey L, Winham, Stacey J, deFazio, Anna, Group, for Australian Ovarian Cancer Study, Pharoah, Paul DP, Goode, Ellen L, MacGregor, Stuart, and Chenevix-Trench, Georgia

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Prevention, Human Genome, Cancer, Genetics, Ovarian Cancer, Rare Diseases, Aetiology, 2.1 Biological and endogenous factors, Autophagy-Related Protein-1 Homolog, Biomarkers, Tumor, Carcinoma, Ovarian Epithelial, Female, Gene Knockout Techniques, Genome-Wide Association Study, Humans, Intracellular Signaling Peptides and Proteins, Ovarian Neoplasms, Polymorphism, Single Nucleotide, Progression-Free Survival, AGO Study Group, OPAL Study Group, for Australian Ovarian Cancer Study Group, Medical and Health Sciences, Epidemiology, Biomedical and clinical sciences, Health sciences
Abstract

BackgroundMany loci have been found to be associated with risk of epithelial ovarian cancer (EOC). However, although there is considerable variation in progression-free survival (PFS), no loci have been found to be associated with outcome at genome-wide levels of significance.MethodsWe carried out a genome-wide association study (GWAS) of PFS in 2,352 women with EOC who had undergone cytoreductive surgery and standard carboplatin/paclitaxel chemotherapy.ResultsWe found seven SNPs at 12q24.33 associated with PFS (P < 5 × 10-8), the top SNP being rs10794418 (HR = 1.24; 95% CI, 1.15-1.34; P = 1.47 × 10-8). High expression of a nearby gene, ULK1, is associated with shorter PFS in EOC, and with poor prognosis in other cancers. SNP rs10794418 is also associated with expression of ULK1 in ovarian tumors, with the allele associated with shorter PFS being associated with higher expression, and chromatin interactions were detected between the ULK1 promoter and associated SNPs in serous and endometrioid EOC cell lines. ULK1 knockout ovarian cancer cell lines showed significantly increased sensitivity to carboplatin in vitro.ConclusionsThe locus at 12q24.33 represents one of the first genome-wide significant loci for survival for any cancer. ULK1 is a plausible candidate for the target of this association.ImpactThis finding provides insight into genetic markers associated with EOC outcome and potential treatment options.See related commentary by Peres and Monteiro, p. 1604.

Published
2021

16. Mammographic Variation Measures, Breast Density, and Breast Cancer Risk.

Author

Heine, John, Fowler, Erin, Scott, Christopher G, Jensen, Matthew R, Shepherd, John, Hruska, Carrie B, Winham, Stacey J, Brandt, Kathleen R, Wu, Fang F, Norman, Aaron D, Pankratz, Vernon S, Miglioretti, Diana L, Kerlikowske, Karla, and Vachon, Celine M

Subjects
Biomedical Imaging, Breast Cancer, Cancer, Aging, Clinical Research, Prevention, Adult, Breast, Breast Density, Breast Neoplasms, Case-Control Studies, Female, Humans, Mammography, Reproducibility of Results, breast cancer, risk prediction, variation measures, volumetric breast density, Clinical Sciences, Nuclear Medicine & Medical Imaging
Abstract

OBJECTIVE. Our previous work showed that variation measures, which represent breast architecture derived from mammograms, were significantly associated with breast cancer. For replication purposes, we examined the association of three variation measures (variation [V], which is measured in the image domain, and P1 and p1 [a normalized version of P1], which are derived from restricted regions in the Fourier domain) with breast cancer risk in an independent population. We also compared these measures to volumetric density measures (volumetric percent density [VPD] and dense volume [DV]) from a commercial product. MATERIALS AND METHODS. We examined 514 patients with breast cancer and 1377 control patients from a screening practice who were matched for age, date of examination, mammography unit, facility, and state of residence. Spearman rank-order correlation was used to evaluate the monotonic association between measures. Breast cancer associations were estimated using conditional logistic regression, after adjustment for age and body mass index. Odds ratios were calculated per SD increment in mammographic measure. RESULTS. These variation measures were strongly correlated with VPD (correlation, 0.68-0.80) but not with DV (correlation, 0.31-0.48). Similar to previous findings, all variation measures were significantly associated with breast cancer (odds ratio per SD: 1.30 [95% CI, 1.16-1.46] for V, 1.55 [95% CI, 1.35-1.77] for P1, and 1.51 [95% CI, 1.33-1.72] for p1). Associations of volumetric density measures with breast cancer were similar (odds ratio per SD: 1.54 [95% CI, 1.33-1.78] for VPD and 1.34 [95% CI, 1.20-1.50] for DV). When DV was included with each variation measure in the same model, all measures retained significance. CONCLUSION. Variation measures were significantly associated with breast cancer risk (comparable to the volumetric density measures) but were independent of the DV.

Published
2021

17. Pleiotropy-guided transcriptome imputation from normal and tumor tissues identifies candidate susceptibility genes for breast and ovarian cancer.

Author

Kar, Siddhartha P, Considine, Daniel PC, Tyrer, Jonathan P, Plummer, Jasmine T, Chen, Stephanie, Dezem, Felipe S, Barbeira, Alvaro N, Rajagopal, Padma S, Rosenow, Will T, Moreno, Fernando, Bodelon, Clara, Chang-Claude, Jenny, Chenevix-Trench, Georgia, deFazio, Anna, Dörk, Thilo, Ekici, Arif B, Ewing, Ailith, Fountzilas, George, Goode, Ellen L, Hartman, Mikael, Heitz, Florian, Hillemanns, Peter, Høgdall, Estrid, Høgdall, Claus K, Huzarski, Tomasz, Jensen, Allan, Karlan, Beth Y, Khusnutdinova, Elza, Kiemeney, Lambertus A, Kjaer, Susanne K, Klapdor, Rüdiger, Köbel, Martin, Li, Jingmei, Liebrich, Clemens, May, Taymaa, Olsson, Håkan, Permuth, Jennifer B, Peterlongo, Paolo, Radice, Paolo, Ramus, Susan J, Riggan, Marjorie J, Risch, Harvey A, Saloustros, Emmanouil, Simard, Jacques, Szafron, Lukasz M, Titus, Linda, Thompson, Cheryl L, Vierkant, Robert A, Winham, Stacey J, Zheng, Wei, Doherty, Jennifer A, Berchuck, Andrew, Lawrenson, Kate, Im, Hae Kyung, Manichaikul, Ani W, Pharoah, Paul DP, Gayther, Simon A, and Schildkraut, Joellen M

Subjects
Biotechnology, Genetics, Prevention, Cancer, Breast Cancer, Human Genome, Ovarian Cancer, Rare Diseases, 2.1 Biological and endogenous factors
Abstract

Familial, sequencing, and genome-wide association studies (GWASs) and genetic correlation analyses have progressively unraveled the shared or pleiotropic germline genetics of breast and ovarian cancer. In this study, we aimed to leverage this shared germline genetics to improve the power of transcriptome-wide association studies (TWASs) to identify candidate breast cancer and ovarian cancer susceptibility genes. We built gene expression prediction models using the PrediXcan method in 681 breast and 295 ovarian tumors from The Cancer Genome Atlas and 211 breast and 99 ovarian normal tissue samples from the Genotype-Tissue Expression project and integrated these with GWAS meta-analysis data from the Breast Cancer Association Consortium (122,977 cases/105,974 controls) and the Ovarian Cancer Association Consortium (22,406 cases/40,941 controls). The integration was achieved through application of a pleiotropy-guided conditional/conjunction false discovery rate (FDR) approach in the setting of a TWASs. This identified 14 candidate breast cancer susceptibility genes spanning 11 genomic regions and 8 candidate ovarian cancer susceptibility genes spanning 5 genomic regions at conjunction FDR < 0.05 that were >1 Mb away from known breast and/or ovarian cancer susceptibility loci. We also identified 38 candidate breast cancer susceptibility genes and 17 candidate ovarian cancer susceptibility genes at conjunction FDR < 0.05 at known breast and/or ovarian susceptibility loci. The 22 genes identified by our cross-cancer analysis represent promising candidates that further elucidate the role of the transcriptome in mediating germline breast and ovarian cancer risk.

Published
2021

18. Examining Sex-Differentiated Genetic Effects Across Neuropsychiatric and Behavioral Traits.

Author

Martin, Joanna, Khramtsova, Ekaterina A, Goleva, Slavina B, Blokland, Gabriëlla AM, Traglia, Michela, Walters, Raymond K, Hübel, Christopher, Coleman, Jonathan RI, Breen, Gerome, Børglum, Anders D, Demontis, Ditte, Grove, Jakob, Werge, Thomas, Bralten, Janita, Bulik, Cynthia M, Lee, Phil H, Mathews, Carol A, Peterson, Roseann E, Winham, Stacey J, Wray, Naomi, Edenberg, Howard J, Guo, Wei, Yao, Yin, Neale, Benjamin M, Faraone, Stephen V, Petryshen, Tracey L, Weiss, Lauren A, Duncan, Laramie E, Goldstein, Jill M, Smoller, Jordan W, Stranger, Barbara E, Davis, Lea K, and Sex Differences Cross-Disorder Analysis Group of the Psychiatric Genomics Consortium

Subjects
Sex Differences Cross-Disorder Analysis Group of the Psychiatric Genomics Consortium, Humans, Sex Characteristics, Multifactorial Inheritance, Phenotype, Polymorphism, Single Nucleotide, Female, Male, Genome-Wide Association Study, Behavioral, GWAS, Genetic correlation, Heritability, Psychiatric, Sex differences, Prevention, Genetics, Mental Health, Human Genome, Biotechnology, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry
Abstract

BackgroundThe origin of sex differences in prevalence and presentation of neuropsychiatric and behavioral traits is largely unknown. Given established genetic contributions and correlations, we tested for a sex-differentiated genetic architecture within and between traits.MethodsUsing European ancestry genome-wide association summary statistics for 20 neuropsychiatric and behavioral traits, we tested for sex differences in single nucleotide polymorphism (SNP)-based heritability and genetic correlation (rg < 1). For each trait, we computed per-SNP z scores from sex-stratified regression coefficients and identified genes with sex-differentiated effects using a gene-based approach. We calculated correlation coefficients between z scores to test for shared sex-differentiated effects. Finally, we tested for sex differences in across-trait genetic correlations.ResultsWe observed no consistent sex differences in SNP-based heritability. Between-sex, within-trait genetic correlations were high, although

Published
2021

19. Genome-Wide Interaction Analysis of Menopausal Hormone Therapy Use and Breast Cancer Risk Among 62,370 Women

Author

Wang, Xiaoliang, Kapoor, Pooja Middha, Auer, Paul L, Dennis, Joe, Dunning, Alison M, Wang, Qin, Lush, Michael, Michailidou, Kyriaki, Bolla, Manjeet K, Aronson, Kristan J, Murphy, Rachel A, Brooks-Wilson, Angela, Lee, Derrick G, Cordina-Duverger, Emilie, Guénel, Pascal, Truong, Thérèse, Mulot, Claire, Teras, Lauren R, Patel, Alpa V, Dossus, Laure, Kaaks, Rudolf, Hoppe, Reiner, Lo, Wing-Yee, Brüning, Thomas, Hamann, Ute, Czene, Kamila, Gabrielson, Marike, Hall, Per, Eriksson, Mikael, Jung, Audrey, Becher, Heiko, Couch, Fergus J, Larson, Nicole L, Olson, Janet E, Ruddy, Kathryn J, Giles, Graham G, MacInnis, Robert J, Southey, Melissa C, Marchand, Loic Le, Wilkens, Lynne R, Haiman, Christopher A, Olsson, Håkan, Augustinsson, Annelie, Krüger, Ute, Wagner, Philippe, Scott, Christopher, Winham, Stacey J, Vachon, Celine M, Perou, Charles M, Olshan, Andrew F, Troester, Melissa A, Hunter, David J, Eliassen, A Heather, Tamimi, Rulla M, Brantley, Kristen, Andrulis, Irene L, Figueroa, Jonine, Chanock, Stephen J, Ahearn, Thomas U, García-Closas, Montserrat, Evans, Gareth D, Newman, William G, Veen, Elke M van, Howell, Anthony, Wolk, Alicja, Håkansson, Niclas, Anton-Culver, Hoda, Ziogas, Argyrios, Jones, Michael E, Orr, Nick, Schoemaker, Minouk J, Swerdlow, Anthony J, Kitahara, Cari M, Linet, Martha, Prentice, Ross L, Easton, Douglas F, Milne, Roger L, Kraft, Peter, Chang-Claude, Jenny, and Lindström, Sara

Subjects
Cancer, Prevention, Breast Cancer, Genetics, Human Genome, Aging, Estrogen, Aetiology, 2.1 Biological and endogenous factors, Good Health and Well Being
Abstract

Abstract Background: Use of menopausal hormone therapy (MHT) is associated with increased risk for breast cancer. However, the relevant mechanisms and its interaction with genetic variants are not fully understood. Methods: We conducted a genome-wide interaction analysis between MHT use and genetic variants for breast cancer risk in 27,585 cases and 34,785 controls from 26 observational studies. All women were post-menopausal and of European ancestry. Multivariable logistic regression models were used to test for multiplicative interactions between genetic variants and current MHT use. We considered interaction p-values

Published
2021

20. Population-based targeted sequencing of 54 candidate genes identifies PALB2 as a susceptibility gene for high-grade serous ovarian cancer

Author

Song, Honglin, Dicks, Ed M, Tyrer, Jonathan, Intermaggio, Maria, Chenevix-Trench, Georgia, Bowtell, David D, Traficante, Nadia, Group, AOCS, Brenton, James, Goranova, Teodora, Hosking, Karen, Piskorz, Anna, van Oudenhove, Elke, Doherty, Jen, Harris, Holly R, Rossing, Mary Anne, Duerst, Matthias, Dork, Thilo, Bogdanova, Natalia V, Modugno, Francesmary, Moysich, Kirsten, Odunsi, Kunle, Ness, Roberta, Karlan, Beth Y, Lester, Jenny, Jensen, Allan, Kjaer, Susanne Krüger, Høgdall, Estrid, Campbell, Ian G, Lázaro, Conxi, Pujara, Miguel Angel, Cunningham, Julie, Vierkant, Robert, Winham, Stacey J, Hildebrandt, Michelle, Huff, Chad, Li, Donghui, Wu, Xifeng, Yu, Yao, Permuth, Jennifer B, Levine, Douglas A, Schildkraut, Joellen M, Riggan, Marjorie J, Berchuck, Andrew, Webb, Penelope M, Group, OPAL Study, Cybulski, Cezary, Gronwald, Jacek, Jakubowska, Anna, Lubinski, Jan, Alsop, Jennifer, Harrington, Patricia, Chan, Isaac, Menon, Usha, Pearce, Celeste L, Wu, Anna H, de Fazio, Anna, Kennedy, Catherine J, Goode, Ellen, Ramus, Susan, Gayther, Simon, and Pharoah, Paul

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Genetics, Oncology and Carcinogenesis, Orphan Drug, Ovarian Cancer, Prevention, Clinical Research, Rare Diseases, Cancer, 2.1 Biological and endogenous factors, Aetiology, Case-Control Studies, Fanconi Anemia Complementation Group N Protein, Female, Genetic Predisposition to Disease, Genetic Variation, Humans, Ovarian Neoplasms, Risk Assessment, cancer, endocrine, genetic epidemiology, cancer: endocrine, Medical and Health Sciences, Genetics & Heredity, Clinical sciences
Abstract

PurposeThe known epithelial ovarian cancer (EOC) susceptibility genes account for less than 50% of the heritable risk of ovarian cancer suggesting that other susceptibility genes exist. The aim of this study was to evaluate the contribution to ovarian cancer susceptibility of rare deleterious germline variants in a set of candidate genes.MethodsWe sequenced the coding region of 54 candidate genes in 6385 invasive EOC cases and 6115 controls of broad European ancestry. Genes with an increased frequency of putative deleterious variants in cases versus controls were further examined in an independent set of 14 135 EOC cases and 28 655 controls from the Ovarian Cancer Association Consortium and the UK Biobank. For each gene, we estimated the EOC risks and evaluated associations between germline variant status and clinical characteristics.ResultsThe ORs associated for high-grade serous ovarian cancer were 3.01 for PALB2 (95% CI 1.59 to 5.68; p=0.00068), 1.99 for POLK (95% CI 1.15 to 3.43; p=0.014) and 4.07 for SLX4 (95% CI 1.34 to 12.4; p=0.013). Deleterious mutations in FBXO10 were associated with a reduced risk of disease (OR 0.27, 95% CI 0.07 to 1.00, p=0.049). However, based on the Bayes false discovery probability, only the association for PALB2 in high-grade serous ovarian cancer is likely to represent a true positive.ConclusionsWe have found strong evidence that carriers of PALB2 deleterious mutations are at increased risk of high-grade serous ovarian cancer. Whether the magnitude of risk is sufficiently high to warrant the inclusion of PALB2 in cancer gene panels for ovarian cancer risk testing is unclear; much larger sample sizes will be needed to provide sufficiently precise estimates for clinical counselling.

Published
2021

21. Association of Daily Alcohol Intake, Volumetric Breast Density, and Breast Cancer Risk

Author

Rustagi, Alison S, Scott, Christopher G, Winham, Stacey J, Brandt, Kathleen R, Norman, Aaron D, Jensen, Matthew R, Shepherd, John A, Hruska, Carrie, Heine, John J, Pankratz, Vernon S, Kerlikowske, Karla, and Vachon, Celine M

Subjects
Substance Misuse, Alcoholism, Alcohol Use and Health, Cancer, Clinical Research, Prevention, Breast Cancer, Good Health and Well Being, Age Factors, Alcohol Drinking, Body Mass Index, Breast Density, Breast Neoplasms, Case-Control Studies, Female, Humans, Mammography, Menopause, Middle Aged, Odds Ratio, San Francisco
Abstract

High alcohol intake and breast density increase breast cancer (BC) risk, but their interrelationship is unknown. We examined whether volumetric density modifies and/or mediates the alcohol-BC association. BC cases (n = 2233) diagnosed from 2006 to 2013 in the San Francisco Bay area had screening mammograms 6 or more months before diagnosis; controls (n = 4562) were matched on age, mammogram date, race or ethnicity, facility, and mammography machine. Logistic regression was used to estimate alcohol-BC associations adjusted for age, body mass index, and menopause; interaction terms assessed modification. Percent mediation was quantified as the ratio of log (odds ratios [ORs]) from models with and without density measures. Alcohol consumption was associated with increased BC risk (2-sided Ptrend = .004), as were volumetric percent density (OR = 1.45 per SD, 95% confidence interval [CI] = 1.36 to 1.56) and dense volume (OR = 1.30, 95% CI = 1.24 to 1.37). Breast density did not modify the alcohol-BC association (2-sided P > .10 for all). Dense volume mediated 25.0% (95% CI = 5.5% to 44.4%) of the alcohol-BC association (2-sided P = .01), suggesting alcohol may partially increase BC risk by increasing fibroglandular tissue.

Published
2021

22. The genomic and immune landscape of long-term survivors of high-grade serous ovarian cancer

Author

Garsed, Dale W., Pandey, Ahwan, Fereday, Sian, Kennedy, Catherine J., Takahashi, Kazuaki, Alsop, Kathryn, Hamilton, Phineas T., Hendley, Joy, Chiew, Yoke-Eng, Traficante, Nadia, Provan, Pamela, Ariyaratne, Dinuka, Au-Yeung, George, Bateman, Nicholas W., Bowes, Leanne, Brand, Alison, Christie, Elizabeth L., Cunningham, Julie M., Friedlander, Michael, Grout, Bronwyn, Harnett, Paul, Hung, Jillian, McCauley, Bryan, McNally, Orla, Piskorz, Anna M., Saner, Flurina A. M., Vierkant, Robert A., Wang, Chen, Winham, Stacey J., Pharoah, Paul D. P., Brenton, James D., Conrads, Thomas P., Maxwell, George L., Ramus, Susan J., Pearce, Celeste Leigh, Pike, Malcolm C., Nelson, Brad H., Goode, Ellen L., DeFazio, Anna, and Bowtell, David D. L.

Published
2022
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23. Development and Validation of the Gene Expression Predictor of High-grade Serous Ovarian Carcinoma Molecular SubTYPE (PrOTYPE)

Author

Talhouk, Aline, George, Joshy, Wang, Chen, Budden, Timothy, Tan, Tuan Zea, Chiu, Derek S, Kommoss, Stefan, San Leong, Huei, Chen, Stephanie, Intermaggio, Maria P, Gilks, Blake, Nazeran, Tayyebeh M, Volchek, Mila, Elatre, Wafaa, Bentley, Rex C, Senz, Janine, Lum, Amy, Chow, Veronica, Sudderuddin, Hanwei, Mackenzie, Robertson, Leong, Samuel CY, Liu, Geyi, Johnson, Dustin, Chen, Billy, Group, AOCS, Alsop, Jennifer, Banerjee, Susana N, Behrens, Sabine, Bodelon, Clara, Brand, Alison H, Brinton, Louise, Carney, Michael E, Chiew, Yoke-Eng, Cushing-Haugen, Kara L, Cybulski, Cezary, Ennis, Darren, Fereday, Sian, Fortner, Renée T, García-Donas, Jesús, Gentry-Maharaj, Aleksandra, Glasspool, Rosalind, Goranova, Teodora, Greene, Casey S, Haluska, Paul, Harris, Holly R, Hendley, Joy, Hernandez, Brenda Y, Herpel, Esther, Jimenez-Linan, Mercedes, Karpinskyj, Chloe, Kaufmann, Scott H, Keeney, Gary L, Kennedy, Catherine J, Köbel, Martin, Koziak, Jennifer M, Larson, Melissa C, Lester, Jenny, Lewsley, Liz-Anne, Lissowska, Jolanta, Lubiński, Jan, Luk, Hugh, Macintyre, Geoff, Mahner, Sven, McNeish, Iain A, Menkiszak, Janusz, Nevins, Nikilyn, Osorio, Ana, Oszurek, Oleg, Palacios, José, Hinsley, Samantha, Pearce, Celeste L, Pike, Malcolm C, Piskorz, Anna M, Ray-Coquard, Isabelle, Rhenius, Valerie, Rodriguez-Antona, Cristina, Sharma, Raghwa, Sherman, Mark E, De Silva, Dilrini, Singh, Naveena, Sinn, Peter, Slamon, Dennis, Song, Honglin, Steed, Helen, Stronach, Euan A, Thompson, Pamela J, Tołoczko, Aleksandra, Trabert, Britton, Traficante, Nadia, Tseng, Chiu-Chen, Widschwendter, Martin, Wilkens, Lynne R, Winham, Stacey J, Winterhoff, Boris, Beeghly-Fadiel, Alicia, Benitez, Javier, Berchuck, Andrew, Brenton, James D, Brown, Robert, and Chang-Claude, Jenny

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Rare Diseases, Orphan Drug, Genetics, Ovarian Cancer, Women's Health, Cancer Genomics, Precision Medicine, Cancer, Human Genome, 4.2 Evaluation of markers and technologies, Good Health and Well Being, Aged, Algorithms, Cystadenoma, Serous, Female, Gene Expression Regulation, Neoplastic, Humans, Lymphocytes, Tumor-Infiltrating, Middle Aged, Neoplasm Grading, Neoplasm Proteins, Neoplasm, Residual, Ovarian Neoplasms, Transcriptome, Oncology & Carcinogenesis, Clinical sciences, Oncology and carcinogenesis
Abstract

PurposeGene expression-based molecular subtypes of high-grade serous tubo-ovarian cancer (HGSOC), demonstrated across multiple studies, may provide improved stratification for molecularly targeted trials. However, evaluation of clinical utility has been hindered by nonstandardized methods, which are not applicable in a clinical setting. We sought to generate a clinical grade minimal gene set assay for classification of individual tumor specimens into HGSOC subtypes and confirm previously reported subtype-associated features.Experimental designAdopting two independent approaches, we derived and internally validated algorithms for subtype prediction using published gene expression data from 1,650 tumors. We applied resulting models to NanoString data on 3,829 HGSOCs from the Ovarian Tumor Tissue Analysis consortium. We further developed, confirmed, and validated a reduced, minimal gene set predictor, with methods suitable for a single-patient setting.ResultsGene expression data were used to derive the predictor of high-grade serous ovarian carcinoma molecular subtype (PrOTYPE) assay. We established a de facto standard as a consensus of two parallel approaches. PrOTYPE subtypes are significantly associated with age, stage, residual disease, tumor-infiltrating lymphocytes, and outcome. The locked-down clinical grade PrOTYPE test includes a model with 55 genes that predicted gene expression subtype with >95% accuracy that was maintained in all analytic and biological validations.ConclusionsWe validated the PrOTYPE assay following the Institute of Medicine guidelines for the development of omics-based tests. This fully defined and locked-down clinical grade assay will enable trial design with molecular subtype stratification and allow for objective assessment of the predictive value of HGSOC molecular subtypes in precision medicine applications.See related commentary by McMullen et al., p. 5271.

Published
2020

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. Automated volumetric breast density measures: differential change between breasts in women with and without breast cancer

Author

Brandt, Kathleen R, Scott, Christopher G, Miglioretti, Diana L, Jensen, Matthew R, Mahmoudzadeh, Amir P, Hruska, Carrie, Ma, Lin, Wu, Fang Fang, Cummings, Steven R, Norman, Aaron D, Engmann, Natalie J, Shepherd, John A, Winham, Stacey J, Kerlikowske, Karla, and Vachon, Celine M

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Biomedical Imaging, Clinical Research, Prevention, Breast Cancer, Cancer, Aged, Automation, Breast, Breast Density, Breast Neoplasms, Case-Control Studies, Early Detection of Cancer, Female, Humans, Mammography, Middle Aged, Reproducibility of Results, Sensitivity and Specificity, Tumor Burden, Volumetric density, Breast density, Breast cancer, Tissue asymmetry, Risk, Oncology & Carcinogenesis, Oncology and carcinogenesis
Abstract

BackgroundGiven that breast cancer and normal dense fibroglandular tissue have similar radiographic attenuation, we examine whether automated volumetric density measures identify a differential change between breasts in women with cancer and compare to healthy controls.MethodsEligible cases (n = 1160) had unilateral invasive breast cancer and bilateral full-field digital mammograms (FFDMs) at two time points: within 2 months and 1-5 years before diagnosis. Controls (n = 2360) were matched to cases on age and date of FFDMs. Dense volume (DV) and volumetric percent density (VPD) for each breast were assessed using Volpara™. Differences in DV and VPD between mammograms (median 3 years apart) were calculated per breast separately for cases and controls and their difference evaluated by using the Wilcoxon signed-rank test. To simulate clinical practice where cancer laterality is unknown, we examined whether the absolute difference between breasts can discriminate cases from controls using area under the ROC curve (AUC) analysis, adjusting for age, BMI, and time.ResultsAmong cases, the VPD and DV between mammograms of the cancerous breast decreased to a lesser degree (- 0.26% and - 2.10 cm3) than the normal breast (- 0.39% and - 2.74 cm3) for a difference of 0.13% (p value

Published
2019

30. Serum hormone levels and normal breast histology among premenopausal women

Author

Sherman, Mark E., de Bel, Thomas, Heckman, Michael G., White, Launia J., Ogony, Joshua, Stallings-Mann, Melody, Hilton, Tracy, Degnim, Amy C., Vierkant, Robert A., Hoskin, Tanya, Jensen, Matthew R., Pacheco-Spann, Laura, Henry, Jill E., Storniolo, Anna Maria, Carter, Jodi M., Winham, Stacey J., Radisky, Derek C., and van der Laak, Jeroen

Published
2022
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31. Population based targeted sequencing of 54 candidate genes identifies PALB2 as a susceptibility gene for high grade serous ovarian cancer

Author

Song, Honglin, Dicks, Ed, Tyrer, Jonathan P, Intermaggio, Maria, Chenevix-Trench, Georgia, Bowtell, David D, Traficante, Nadia, Group, AOCS, Brenton, James D, Goranova, Teodora, Hosking, Karen, Piskorz, Anna, Van Oudenhove, Elke, Doherty, Jennifer Anne, Harris, Holly R, Rossing, Mary Anne, Dürst, Matthias, Dörk, Thilo, Bogdanova, Natalia V, Modugno, Francesmary, Moysich, Kirsten B, Odunsi, Kunle, Ness, Roberta B, Karlan, Beth Y, Lester, Jenny, Jensen, Allan, Kjaer, Susanne K, Høgdall, Estrid, Campbell, Ian, Lazaro, Conxi, Pujana, Miquel Angel, Cunningham, Julie M, Vierkant, Robert A, Winham, Stacey J, Hildebrandt, Michelle AT, Huff, Chad, Li, Donghui, Wu, Xifeng, Yu, Yao, Permuth, Jennifer B, Levine, Douglas A, Schildkraut, Joellen M, Riggan, Marjorie J, Berchuck, Andrew, Webb, Penelope M, Group, OPAL Study, Cybulski, Cezary, Gronwald, Jacek, Jakubowska, Anna, Lubiński, Jan, Alsop, Jennifer, Harrington, Patricia A, Chan, Isaac, Menon, Usha, Pearce, Celeste L, Wu, Anna H, de Fazio, Anna, Kennedy, Catherine J, Goode, Ellen L, Ramus, Susan J, Gayther, Simon A, and Pharoah, Paul DP

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Genetics, Health Sciences, Oncology and Carcinogenesis, Orphan Drug, Clinical Research, Human Genome, Rare Diseases, Ovarian Cancer, Cancer, Prevention, 2.1 Biological and endogenous factors, Aetiology
Abstract

Abstract: Purpose: The known EOC susceptibility genes account for less than 50% of the heritable risk of ovarian cancer suggesting other susceptibility genes exist. The aim of this study was to evaluate the contribution to ovarian cancer susceptibility of rare deleterious germline variants in a set of candidate genes. Methods: We sequenced the coding region of 54 candidate genes in 6385 invasive EOC cases and 6115 controls of broad European ancestry. Genes with an increased frequency of putative deleterious variants in cases verses controls were further examined in an independent set of 14,146 EOC cases and 28,661 controls from the ovarian cancer association consortium and the UK Biobank. For each gene, we estimated the EOC risks and evaluated associations between germline variant status and clinical characteristics. Results: The odds ratios (OR) associated for high-grade serous ovarian cancer were 3.01 for PALB2 (95% CI 1.59 – 5.68; P = 0.00068), 1.99 for POLK (95% CI 1.15 – 3.43; P = 0.014), and 4.07 for SLX4 (95% CI 1.34-12.4; P = 0.013). Deleterious mutations in FBXO10 were associated with a reduced risk of disease (OR 0.27, 95% CI 0.07 −1.00, P=0.049). However, based on the Bayes false discovery probability, only the association for PALB2 in high-grade serous ovarian cancer is likely to represent a true positive. Conclusions: We have found strong evidence that carriers of PALB2 deleterious mutations are at increased risk of high-grade serous ovarian cancer. Whether the magnitude of risk is sufficiently high to warrant the inclusion of PALB2 in cancer gene panels for ovarian cancer risk testing is unclear; much larger sample sizes will be needed to provide sufficiently precise estimates for clinical counselling.

Published
2019

32. Longitudinal Changes in Volumetric Breast Density in Healthy Women across the Menopausal Transition

Author

Engmann, Natalie J, Scott, Christopher, Jensen, Matthew R, Winham, Stacey J, Ma, Lin, Brandt, Kathleen R, Mahmoudzadeh, Amir, Whaley, Dana H, Hruska, Carrie B, Wu, Fang-Fang, Norman, Aaron D, Hiatt, Robert A, Heine, John, Shepherd, John, Pankratz, V Shane, Miglioretti, Diana L, Kerlikowske, Karla, and Vachon, Celine M

Subjects
Health Services and Systems, Biomedical and Clinical Sciences, Health Sciences, Oncology and Carcinogenesis, Prevention, Aging, Cancer, Contraception/Reproduction, Breast Cancer, Clinical Research, Estrogen, Biomedical Imaging, Good Health and Well Being, Body Mass Index, Breast, Breast Density, Female, Humans, Longitudinal Studies, Mammography, Middle Aged, Postmenopause, Premenopause, Risk Factors, Women's Health, Women’s Health, Medical and Health Sciences, Epidemiology, Biomedical and clinical sciences, Health sciences
Abstract

BackgroundMammographic breast density declines during menopause. We assessed changes in volumetric breast density across the menopausal transition and factors that influence these changes.MethodsWomen without a history of breast cancer, who had full field digital mammograms during both pre- and postmenopausal periods, at least 2 years apart, were sampled from four facilities within the San Francisco Mammography Registry from 2007 to 2013. Dense breast volume (DV) was assessed using Volpara on mammograms across the time period. Annualized change in DV from pre- to postmenopause was estimated using linear mixed models adjusted for covariates and per-woman random effects. Multiplicative interactions were evaluated between premenopausal risk factors and time to determine whether these covariates modified the annualized changes.ResultsAmong the 2,586 eligible women, 1,802 had one premenopausal and one postmenopausal mammogram, 628 had an additional perimenopausal mammogram, and 156 had two perimenopausal mammograms. Women experienced an annualized decrease in DV [-2.2 cm3 (95% confidence interval, -2.7 to -1.7)] over the menopausal transition. Declines were greater among women with a premenopausal DV above the median (54 cm3) versus below (DV, -3.5 cm3 vs. -1.0 cm3; P < 0.0001). Other breast cancer risk factors, including race, body mass index, family history, alcohol, and postmenopausal hormone therapy, had no effect on change in DV over the menopausal transition.ConclusionsHigh premenopausal DV was a strong predictor of greater reductions in DV across the menopausal transition.ImpactWe found that few factors other than premenopausal density influence changes in DV across the menopausal transition, limiting targeted prevention efforts.

Published
2019

33. A comprehensive gene–environment interaction analysis in Ovarian Cancer using genome‐wide significant common variants

Author

Kim, Sehee, Wang, Miao, Tyrer, Jonathan P, Jensen, Allan, Wiensch, Ashley, Liu, Gang, Lee, Alice W, Ness, Roberta B, Salvatore, Maxwell, Tworoger, Shelley S, Whittemore, Alice S, Anton‐Culver, Hoda, Sieh, Weiva, Olson, Sara H, Berchuck, Andrew, Goode, Ellen L, Goodman, Marc T, Doherty, Jennifer Anne, Chenevix‐Trench, Georgia, Rossing, Mary Anne, Webb, Penelope M, Giles, Graham G, Terry, Kathryn L, Ziogas, Argyrios, Fortner, Renée T, Menon, Usha, Gayther, Simon A, Wu, Anna H, Song, Honglin, Brooks‐Wilson, Angela, Bandera, Elisa V, Cook, Linda S, Cramer, Daniel W, Milne, Roger L, Winham, Stacey J, Kjaer, Susanne K, Modugno, Francesmary, Thompson, Pamela J, Chang‐Claude, Jenny, Harris, Holly R, Schildkraut, Joellen M, Le, Nhu D, Wentzensen, Nico, Trabert, Britton, Høgdall, Estrid, Huntsman, David, Pike, Malcolm C, Pharoah, Paul DP, Pearce, Celeste Leigh, and Mukherjee, Bhramar

Subjects
Rare Diseases, Human Genome, Clinical Research, Genetics, Patient Safety, Cancer, Prevention, Ovarian Cancer, Aetiology, 2.1 Biological and endogenous factors, Good Health and Well Being, Case-Control Studies, Contraceptives, Oral, Hormonal, Environment, Environmental Exposure, Female, Gene-Environment Interaction, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Ovarian Neoplasms, Polymorphism, Single Nucleotide, Risk, ovarian cancer, genetics, additive interaction, G x E, G × E, Oncology and Carcinogenesis, Oncology & Carcinogenesis
Abstract

As a follow-up to genome-wide association analysis of common variants associated with ovarian carcinoma (cancer), our study considers seven well-known ovarian cancer risk factors and their interactions with 28 genome-wide significant common genetic variants. The interaction analyses were based on data from 9971 ovarian cancer cases and 15,566 controls from 17 case-control studies. Likelihood ratio and Wald tests for multiplicative interaction and for relative excess risk due to additive interaction were used. The top multiplicative interaction was noted between oral contraceptive pill (OCP) use (ever vs. never) and rs13255292 (p value = 3.48 × 10-4 ). Among women with the TT genotype for this variant, the odds ratio for OCP use was 0.53 (95% CI = 0.46-0.60) compared to 0.71 (95%CI = 0.66-0.77) for women with the CC genotype. When stratified by duration of OCP use, women with 1-5 years of OCP use exhibited differential protective benefit across genotypes. However, no interaction on either the multiplicative or additive scale was found to be statistically significant after multiple testing correction. The results suggest that OCP use may offer increased benefit for women who are carriers of the T allele in rs13255292. On the other hand, for women carrying the C allele in this variant, longer (5+ years) use of OCP may reduce the impact of carrying the risk allele of this SNP. Replication of this finding is needed. The study presents a comprehensive analytic framework for conducting gene-environment analysis in ovarian cancer.

Published
2019

35. Polygenic risk modeling for prediction of epithelial ovarian cancer risk

Author

Dareng, Eileen O., Tyrer, Jonathan P., Barnes, Daniel R., Jones, Michelle R., Yang, Xin, Aben, Katja K. H., Adank, Muriel A., Agata, Simona, Andrulis, Irene L., Anton-Culver, Hoda, Antonenkova, Natalia N., Aravantinos, Gerasimos, Arun, Banu K., Augustinsson, Annelie, Balmaña, Judith, Bandera, Elisa V., Barkardottir, Rosa B., Barrowdale, Daniel, Beckmann, Matthias W., Beeghly-Fadiel, Alicia, Benitez, Javier, Bermisheva, Marina, Bernardini, Marcus Q., Bjorge, Line, Black, Amanda, Bogdanova, Natalia V., Bonanni, Bernardo, Borg, Ake, Brenton, James D., Budzilowska, Agnieszka, Butzow, Ralf, Buys, Saundra S., Cai, Hui, Caligo, Maria A., Campbell, Ian, Cannioto, Rikki, Cassingham, Hayley, Chang-Claude, Jenny, Chanock, Stephen J., Chen, Kexin, Chiew, Yoke-Eng, Chung, Wendy K., Claes, Kathleen B. M., Colonna, Sarah, Cook, Linda S., Couch, Fergus J., Daly, Mary B., Dao, Fanny, Davies, Eleanor, de la Hoya, Miguel, de Putter, Robin, Dennis, Joe, DePersia, Allison, Devilee, Peter, Diez, Orland, Ding, Yuan Chun, Doherty, Jennifer A., Domchek, Susan M., Dörk, Thilo, du Bois, Andreas, Dürst, Matthias, Eccles, Diana M., Eliassen, Heather A., Engel, Christoph, Evans, Gareth D., Fasching, Peter A., Flanagan, James M., Fortner, Renée T., Machackova, Eva, Friedman, Eitan, Ganz, Patricia A., Garber, Judy, Gensini, Francesca, Giles, Graham G., Glendon, Gord, Godwin, Andrew K., Goodman, Marc T., Greene, Mark H., Gronwald, Jacek, Hahnen, Eric, Haiman, Christopher A., Håkansson, Niclas, Hamann, Ute, Hansen, Thomas V. O., Harris, Holly R., Hartman, Mikael, Heitz, Florian, Hildebrandt, Michelle A. T., Høgdall, Estrid, Høgdall, Claus K., Hopper, John L., Huang, Ruea-Yea, Huff, Chad, Hulick, Peter J., Huntsman, David G., Imyanitov, Evgeny N., Isaacs, Claudine, Jakubowska, Anna, James, Paul A., Janavicius, Ramunas, Jensen, Allan, Johannsson, Oskar Th., John, Esther M., Jones, Michael E., Kang, Daehee, Karlan, Beth Y., Karnezis, Anthony, Kelemen, Linda E., Khusnutdinova, Elza, Kiemeney, Lambertus A., Kim, Byoung-Gie, Kjaer, Susanne K., Komenaka, Ian, Kupryjanczyk, Jolanta, Kurian, Allison W., Kwong, Ava, Lambrechts, Diether, Larson, Melissa C., Lazaro, Conxi, Le, Nhu D., Leslie, Goska, Lester, Jenny, Lesueur, Fabienne, Levine, Douglas A., Li, Lian, Li, Jingmei, Loud, Jennifer T., Lu, Karen H., Lubiński, Jan, Mai, Phuong L., Manoukian, Siranoush, Marks, Jeffrey R., Matsuno, Rayna Kim, Matsuo, Keitaro, May, Taymaa, McGuffog, Lesley, McLaughlin, John R., McNeish, Iain A., Mebirouk, Noura, Menon, Usha, Miller, Austin, Milne, Roger L., Minlikeeva, Albina, Modugno, Francesmary, Montagna, Marco, Moysich, Kirsten B., Munro, Elizabeth, Nathanson, Katherine L., Neuhausen, Susan L., Nevanlinna, Heli, Yie, Joanne Ngeow Yuen, Nielsen, Henriette Roed, Nielsen, Finn C., Nikitina-Zake, Liene, Odunsi, Kunle, Offit, Kenneth, Olah, Edith, Olbrecht, Siel, Olopade, Olufunmilayo I., Olson, Sara H., Olsson, Håkan, Osorio, Ana, Papi, Laura, Park, Sue K., Parsons, Michael T., Pathak, Harsha, Pedersen, Inge Sokilde, Peixoto, Ana, Pejovic, Tanja, Perez-Segura, Pedro, Permuth, Jennifer B., Peshkin, Beth, Peterlongo, Paolo, Piskorz, Anna, Prokofyeva, Darya, Radice, Paolo, Rantala, Johanna, Riggan, Marjorie J., Risch, Harvey A., Rodriguez-Antona, Cristina, Ross, Eric, Rossing, Mary Anne, Runnebaum, Ingo, Sandler, Dale P., Santamariña, Marta, Soucy, Penny, Schmutzler, Rita K., Setiawan, V. Wendy, Shan, Kang, Sieh, Weiva, Simard, Jacques, Singer, Christian F., Sokolenko, Anna P., Song, Honglin, Southey, Melissa C., Steed, Helen, Stoppa-Lyonnet, Dominique, Sutphen, Rebecca, Swerdlow, Anthony J., Tan, Yen Yen, Teixeira, Manuel R., Teo, Soo Hwang, Terry, Kathryn L., Terry, Mary Beth, Thomassen, Mads, Thompson, Pamela J., Thomsen, Liv Cecilie Vestrheim, Thull, Darcy L., Tischkowitz, Marc, Titus, Linda, Toland, Amanda E., Torres, Diana, Trabert, Britton, Travis, Ruth, Tung, Nadine, Tworoger, Shelley S., Valen, Ellen, van Altena, Anne M., van der Hout, Annemieke H., Van Nieuwenhuysen, Els, van Rensburg, Elizabeth J., Vega, Ana, Edwards, Digna Velez, Vierkant, Robert A., Wang, Frances, Wappenschmidt, Barbara, Webb, Penelope M., Weinberg, Clarice R., Weitzel, Jeffrey N., Wentzensen, Nicolas, White, Emily, Whittemore, Alice S., Winham, Stacey J., Wolk, Alicja, Woo, Yin-Ling, Wu, Anna H., Yan, Li, Yannoukakos, Drakoulis, Zavaglia, Katia M., Zheng, Wei, Ziogas, Argyrios, Zorn, Kristin K., Kleibl, Zdenek, Easton, Douglas, Lawrenson, Kate, DeFazio, Anna, Sellers, Thomas A., Ramus, Susan J., Pearce, Celeste L., Monteiro, Alvaro N., Cunningham, Julie, Goode, Ellen L., Schildkraut, Joellen M., Berchuck, Andrew, Chenevix-Trench, Georgia, Gayther, Simon A., Antoniou, Antonis C., and Pharoah, Paul D. P.

Published
2022
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36. Quality control recommendations for RNASeq using FFPE samples based on pre-sequencing lab metrics and post-sequencing bioinformatics metrics

Author

Liu, Yuanhang, Bhagwate, Aditya, Winham, Stacey J., Stephens, Melissa T., Harker, Brent W., McDonough, Samantha J., Stallings-Mann, Melody L., Heinzen, Ethan P., Vierkant, Robert A., Hoskin, Tanya L., Frost, Marlene H., Carter, Jodi M., Pfrender, Michael E., Littlepage, Laurie, Radisky, Derek C., Cunningham, Julie M., Degnim, Amy C., and Wang, Chen

Published
2022
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37. Towards defining morphologic parameters of normal parous and nulliparous breast tissues by artificial intelligence

Author

Ogony, Joshua, de Bel, Thomas, Radisky, Derek C., Kachergus, Jennifer, Thompson, E. Aubrey, Degnim, Amy C., Ruddy, Kathryn J., Hilton, Tracy, Stallings-Mann, Melody, Vachon, Celine, Hoskin, Tanya L., Heckman, Michael G., Vierkant, Robert A., White, Launia J., Moore, Raymond M., Carter, Jodi, Jensen, Matthew, Pacheco-Spann, Laura, Henry, Jill E., Storniolo, Anna Maria, Winham, Stacey J., van der Laak, Jeroen, and Sherman, Mark E.

Published
2022
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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. Adult height is associated with increased risk of ovarian cancer: a Mendelian randomisation study

Author

Dixon-Suen, Suzanne C, Nagle, Christina M, Thrift, Aaron P, Pharoah, Paul DP, Ewing, Ailith, Pearce, Celeste Leigh, Zheng, Wei, Australian Ovarian Cancer Study Group, Chenevix-Trench, Georgia, Fasching, Peter A, Beckmann, Matthias W, Lambrechts, Diether, Vergote, Ignace, Lambrechts, Sandrina, Van Nieuwenhuysen, Els, Rossing, Mary Anne, Doherty, Jennifer A, Wicklund, Kristine G, Chang-Claude, Jenny, Jung, Audrey Y, Moysich, Kirsten B, Odunsi, Kunle, Goodman, Marc T, Wilkens, Lynne R, Thompson, Pamela J, Shvetsov, Yurii B, Dörk, Thilo, Park-Simon, Tjoung-Won, Hillemanns, Peter, Bogdanova, Natalia, Butzow, Ralf, Nevanlinna, Heli, Pelttari, Liisa M, Leminen, Arto, Modugno, Francesmary, Ness, Roberta B, Edwards, Robert P, Kelley, Joseph L, Heitz, Florian, du Bois, Andreas, Harter, Philipp, Schwaab, Ira, Karlan, Beth Y, Lester, Jenny, Orsulic, Sandra, Rimel, Bobbie J, Kjær, Susanne K, Høgdall, Estrid, Jensen, Allan, Goode, Ellen L, Fridley, Brooke L, Cunningham, Julie M, Winham, Stacey J, Giles, Graham G, Bruinsma, Fiona, Milne, Roger L, Southey, Melissa C, Hildebrandt, Michelle AT, Wu, Xifeng, Lu, Karen H, Liang, Dong, Levine, Douglas A, Bisogna, Maria, Schildkraut, Joellen M, Berchuck, Andrew, Cramer, Daniel W, Terry, Kathryn L, Bandera, Elisa V, Olson, Sara H, Salvesen, Helga B, Thomsen, Liv Cecilie Vestrheim, Kopperud, Reidun K, Bjorge, Line, Kiemeney, Lambertus A, Massuger, Leon FAG, Pejovic, Tanja, Bruegl, Amanda, Cook, Linda S, Le, Nhu D, Swenerton, Kenneth D, Brooks-Wilson, Angela, Kelemen, Linda E, Lubiński, Jan, Huzarski, Tomasz, Gronwald, Jacek, Menkiszak, Janusz, Wentzensen, Nicolas, Brinton, Louise, Yang, Hannah, Lissowska, Jolanta, Høgdall, Claus K, Lundvall, Lene, Song, Honglin, Tyrer, Jonathan P, Campbell, Ian, Eccles, Diana, Paul, James, Glasspool, Rosalind, Siddiqui, Nadeem, and Whittemore, Alice S

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Rare Diseases, Prevention, Genetics, Ovarian Cancer, Women's Health, Cancer, 2.1 Biological and endogenous factors, Adolescent, Adult, Aged, Aged, 80 and over, Body Height, Carcinoma, Ovarian Epithelial, Case-Control Studies, Female, Genetic Predisposition to Disease, Geography, Humans, Mendelian Randomization Analysis, Middle Aged, Ovarian Neoplasms, Risk Factors, Young Adult, Australian Ovarian Cancer Study Group, Ovarian Cancer Association Consortium, Public Health and Health Services, Oncology & Carcinogenesis, Oncology and carcinogenesis
Abstract

BackgroundObservational studies suggest greater height is associated with increased ovarian cancer risk, but cannot exclude bias and/or confounding as explanations for this. Mendelian randomisation (MR) can provide evidence which may be less prone to bias.MethodsWe pooled data from 39 Ovarian Cancer Association Consortium studies (16,395 cases; 23,003 controls). We applied two-stage predictor-substitution MR, using a weighted genetic risk score combining 609 single-nucleotide polymorphisms. Study-specific odds ratios (OR) and 95% confidence intervals (CI) for the association between genetically predicted height and risk were pooled using random-effects meta-analysis.ResultsGreater genetically predicted height was associated with increased ovarian cancer risk overall (pooled-OR (pOR) = 1.06; 95% CI: 1.01-1.11 per 5 cm increase in height), and separately for invasive (pOR = 1.06; 95% CI: 1.01-1.11) and borderline (pOR = 1.15; 95% CI: 1.02-1.29) tumours.ConclusionsWomen with a genetic propensity to being taller have increased risk of ovarian cancer. This suggests genes influencing height are involved in pathways promoting ovarian carcinogenesis.

Published
2018

44. 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

45. Variants in genes encoding small GTPases and association with epithelial ovarian cancer susceptibility

Author

Earp, Madalene, Tyrer, Jonathan P, Winham, Stacey J, Lin, Hui-Yi, Chornokur, Ganna, Dennis, Joe, Aben, Katja KH, Anton‐Culver, Hoda, Antonenkova, Natalia, Bandera, Elisa V, Bean, Yukie T, Beckmann, Matthias W, Bjorge, Line, Bogdanova, Natalia, Brinton, Louise A, Brooks-Wilson, Angela, Bruinsma, Fiona, Bunker, Clareann H, Butzow, Ralf, Campbell, Ian G, Carty, Karen, Chang-Claude, Jenny, Cook, Linda S, Cramer, Daniel W, Cunningham, Julie M, Cybulski, Cezary, Dansonka-Mieszkowska, Agnieszka, Despierre, Evelyn, Doherty, Jennifer A, Dörk, Thilo, du Bois, Andreas, Dürst, Matthias, Easton, Douglas F, Eccles, Diana M, Edwards, Robert P, Ekici, Arif B, Fasching, Peter A, Fridley, Brooke L, Gentry-Maharaj, Aleksandra, Giles, Graham G, Glasspool, Rosalind, Goodman, Marc T, Gronwald, Jacek, Harter, Philipp, Hein, Alexander, Heitz, Florian, Hildebrandt, Michelle AT, Hillemanns, Peter, Hogdall, Claus K, Høgdall, Estrid, Hosono, Satoyo, Iversen, Edwin S, Jakubowska, Anna, Jensen, Allan, Ji, Bu-Tian, Jung, Audrey Y, Karlan, Beth Y, Kellar, Melissa, Kiemeney, Lambertus A, Lim, Boon Kiong, Kjaer, Susanne K, Krakstad, Camilla, Kupryjanczyk, Jolanta, Lambrechts, Diether, Lambrechts, Sandrina, Le, Nhu D, Lele, Shashi, Lester, Jenny, Levine, Douglas A, Li, Zheng, Liang, Dong, Lissowska, Jolanta, Lu, Karen, Lubinski, Jan, Lundvall, Lene, Massuger, Leon FAG, Matsuo, Keitaro, McGuire, Valerie, McLaughlin, John R, McNeish, Iain, Menon, Usha, Milne, Roger L, Modugno, Francesmary, Moysich, Kirsten B, Ness, Roberta B, Nevanlinna, Heli, Odunsi, Kunle, Olson, Sara H, Orlow, Irene, Orsulic, Sandra, Paul, James, Pejovic, Tanja, Pelttari, Liisa M, Permuth, Jenny B, Pike, Malcolm C, Poole, Elizabeth M, Rosen, Barry, Rossing, Mary Anne, Rothstein, Joseph H, and Runnebaum, Ingo B

Subjects
Biochemistry and Cell Biology, Biomedical and Clinical Sciences, Biological Sciences, Genetics, Oncology and Carcinogenesis, Biotechnology, Ovarian Cancer, Cancer, Human Genome, Rare Diseases, 2.1 Biological and endogenous factors, Aetiology, A Kinase Anchor Proteins, Carcinoma, Ovarian Epithelial, Female, Genetic Association Studies, Genetic Predisposition to Disease, Genotype, Humans, Monomeric GTP-Binding Proteins, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Rho Guanine Nucleotide Exchange Factors, Risk Factors, General Science & Technology
Abstract

Epithelial ovarian cancer (EOC) is the fifth leading cause of cancer mortality in American women. Normal ovarian physiology is intricately connected to small GTP binding proteins of the Ras superfamily (Ras, Rho, Rab, Arf, and Ran) which govern processes such as signal transduction, cell proliferation, cell motility, and vesicle transport. We hypothesized that common germline variation in genes encoding small GTPases is associated with EOC risk. We investigated 322 variants in 88 small GTPase genes in germline DNA of 18,736 EOC patients and 26,138 controls of European ancestry using a custom genotype array and logistic regression fitting log-additive models. Functional annotation was used to identify biofeatures and expression quantitative trait loci that intersect with risk variants. One variant, ARHGEF10L (Rho guanine nucleotide exchange factor 10 like) rs2256787, was associated with increased endometrioid EOC risk (OR = 1.33, p = 4.46 x 10-6). Other variants of interest included another in ARHGEF10L, rs10788679, which was associated with invasive serous EOC risk (OR = 1.07, p = 0.00026) and two variants in AKAP6 (A-kinase anchoring protein 6) which were associated with risk of invasive EOC (rs1955513, OR = 0.90, p = 0.00033; rs927062, OR = 0.94, p = 0.00059). Functional annotation revealed that the two ARHGEF10L variants were located in super-enhancer regions and that AKAP6 rs927062 was associated with expression of GTPase gene ARHGAP5 (Rho GTPase activating protein 5). Inherited variants in ARHGEF10L and AKAP6, with potential transcriptional regulatory function and association with EOC risk, warrant investigation in independent EOC study populations.

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

49. Exome sequencing identifies HELB as a novel susceptibility gene for non-mucinous, non-high-grade-serous epithelial ovarian cancer

Author

Dicks, Ed M., primary, Tyrer, Jonthan P., additional, Ezquina, Suzana, additional, Jones, Michelle, additional, Baierl, John, additional, Peng, Pei-Chen, additional, Diaz, Michael, additional, Goode, Ellen, additional, Winham, Stacey J, additional, Doerk, Thilo, additional, Van Gorp, Toon, additional, De Fazio, Anna, additional, Bowtell, David, additional, Odunsi, Kunle, additional, Moysich, Kirsten, additional, Pavanello, Marina, additional, Campbell, Ian, additional, Brenton, James D., additional, Ramus, Susan J., additional, Gayther, Simon A., additional, and Pharoah, Paul D.P., additional

Published
2024
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