Citations 2
Cross-Cancer Genome-Wide Association Study of Endometrial Cancer and Epithelial Ovarian Cancer Identifies Genetic Risk Regions Associated with Risk of Both Cancers
Glubb, Dylan M. , Thompson, Deborah J. , Aben, Katja K.H. , Alsulimani, Ahmad , Amant, Frédéric , Annibali, Daniela , Barricarte, Aurelio , Beckmann, Matthias W. , Bermisheva, Marina , Bernardini, Marcus Q. , Bischof, Katharina , Bodelón, Clara , Brand, Alison H. , Brinton, Louise A. , Bruinsma, Fiona , Burghaus, Stefanie , Cai, Hui , Carney, Michael E. , Chen, Chu , Chen, Xiao Qing, Chen, Zhihua , Cunningham, Julie M. , Vivo, Immaculata De , Dörk, Thilo , Edwards, Todd, Ekici, Arif B. , Ewing, Ailith , Fasching, Peter A. , Ferguson, Sarah, Flanagan, James M. , Fostira, Florentia, Gao, Bo , Gaudet, Mia M. , Gawełko, Jan , Goodman, Marc T. , Harter, Philipp , Hein, Alexander , Hildebrandt, Michelle A.T., Hillemanns, Peter , Høgdall, Claus , Holliday, Elizabeth , Huntsman, David G. , Huzarski, Tomasz , Jones, Michael E. , Kelley, Joseph L., Killeen, Jeffrey , Klapdor, Rüdiger , Köbel, Martin , Konopka, Bożena , Konstantopoulou, Irene , Kopperud, Reidun Kristin, Koti, Madhuri , Lambrechts, Diether , Lele, Shashikant , Lester, Jenny, Li, Andrew J., Liang, Dong , Liebrich, Clemens, Lipworth, Loren , Lissowska, Jolanta , Lu, Karen H., May, Taymaa, McGuire, Valerie , McNeish, Iain A. , Menon, Usha , Moysich, Kirsten B. , Odunsi, Kunle , Olsson, Håkan , Oršulić, Sandra , Osório, Ana , Park‐Simon, Tjoung‐Won , Pearce, Celeste Leigh, Podgórska, Agnieszka , Ramus, Susan J. , Riggan, Marjorie J. , Rothstein, Joseph H. , Runnebaum, Ingo B. , Scott, Rodney J. , Sellers, Thomas A. , Sieh, Weiva , Śpiewankiewicz, Beata, Sutphen, Rebecca , Teo, Soo‐Hwang , Thompson, Pamela J., Titus, Linda , Tone, Alicia , Edwards, Digna Velez, Vergote, Ignace , Wang, Zhaoming , Wang‐Gohrke, Shan , Group, for the OPAL Study, Group, for the AOCS, Whittemore, Alice S. , Wu, Xifeng , Wu, Anna H. , O’Mara, Tracy A. , Lu, Karen H. , Lambrechts, Diether , Barricarte, Aurelio , Bischof, Katharina , Bodelon, Clara , Brenton, James D , Brinton, Louise A , Buchanan, Daniel D , Cunningham, Julie M , De Vivo, Immaculata , Fazio, Anna de , Doherty, Jennifer A , Dörk, Thilo , Dunning, Alison M , Edwards, Todd , Ewing, Ailith , Fasching, Peter A , Flanagan, James M , Friedenreich, Christine M , Gaudet, Mia M , Gawełko, Jan , Gentry‐Maharaj, Aleksandra , Giles, Graham G , Glasspool, Rosalind , Harris, Holly R , Hein, Alexander , Heitz, Florian , Hillemanns, Peter , Jakubowska, Anna , Jones, Michael E , Karlan, Beth Y , Karnezis, Anthony , Kjaer, Susanne K , Klapdor, Rüdiger , Köbel, Martin , Konstantopoulou, Irene , Kupryjanczyk, Jolanta , Lambrechts, Diether , Lissowska, Jolanta , Lu, Lingeng , McAlpine, Jessica N , McNeish, Iain A , Menon, Usha , Nevanlinna, H , Orsulic, Sandra , Palli, Domenico , Park-Simon, Tjoung-Won , Permuth, Jennifer B , Ramus, Susan J , Runnebaum, Ingo B , Sieh, Weiva , Swerdlow, Anthony J , Szafron, Lukasz M , Teo, Soo H , Thompson, Pamela J , Thomsen, Liv Cecilie Vestrheim , Titus, Linda , Tumino, Rosario , Vanderstichele, Adriaan , Vergote, Ignace , Vierkant, Robert A , Webb, Penelope M , Winham, Stacey J , Spurdle, Amanda B , Lambrechts, Diether , Moysich, Kirsten , Wang, Zhaoming , O'Mara, Tracy A , Ekici, Arif B , Amant, Frederic , Høgdall, Claus K , Huzarski, Tomasz , Brand, Alison H , Goodman, Marc T , Attia, John , Berchuck, Andrew , Bjørge, Line , Brenton, James D. , Buchanan, Daniel D. , Bützow, Ralf C. , Chanock, Stephen Jacob , Chen, Xiao Qing, Cook, Linda S. , DeFazio, Anna , Doherty, Jennifer A. , Bois, Andreas du , Dunning, Alison M. , Dürst, Matthias , Fountzilas, George , Giles, Graham G. , Glasspool, Rosalind , Gronwald, Jacek , Harris, Holly R. , Heitz, Florian , Hildebrandt, Michelle A.T. , Høgdall, Estrid , Jakubowska, Anna , Jensen, Allan , Karlan, Beth Y. , Karnezis, Anthony N. , Хуснутдинова, Э. К. , Kjær, Susanne K. , Kraft, Peter , Kupryjańczyk, Jolanta , Larson, Melissa C. , Marchand, Loı̈c Le , Macciotta, Alessandra , Mattiello, Amalia , McAlpine, Jessica N. , Modugno, Francesmary , Nevanlinna, Heli , Palli, Domenico , Pejovic, Tanja B. , Permuth, Jennifer B. , Rebbeck, Timothy R. , Risch, Harvey A. , Senz, Janine , Setiawan, Veronica Wendy , Siddiqui, Nadeem , Swerdlow, Anthony J. , Szafron, Lukasz M. , Thomsen, Liv Cecilie Vestrheim , Tumino, Rosario , Turman, Constance , Vanderstichele, Adriaan , Edwards, Digna R. Velez , Vierkant, Robert A. , Webb, Penelope M. , Group, for the OPAL Study, Group, for the AOCS, White, Emily , Winham, Stacey J. , Yannoukakos, Drakoulis , Spurdle, Amanda B.
Cancer Epidemiology, Biomarkers & Prevention | November 3, 2020 | Volume: 30 | Issue: 1 | Pages: 217-228
Abstract Background: Accumulating evidence suggests a relationship between endometrial cancer and ovarian cancer. Independent genome-wide association studies (GWAS) for endometrial cancer and ovarian cancer have identified 16 and 27 risk regions, respectively, four of which overlap between the two cancers. We aimed to identify joint endometrial and ovarian cancer risk loci by performing a meta-analysis of GWAS summary statistics from these two cancers. Methods: Using LDScore regression, we explored the genetic correlation between endometrial cancer and ovarian cancer. To identify loci associated with the risk of both cancers, we implemented a pipeline of statistical genetic analyses (i.e., inverse-variance meta-analysis, colocalization, and M-values) and performed analyses stratified by subtype. Candidate target genes were then prioritized using functional genomic data. Results: Genetic correlation analysis revealed significant genetic correlation between the two cancers (rG = 0.43, P = 2.66 × 10−5). We found seven loci associated with risk for both cancers (PBonferroni < 2.4 × 10−9). In addition, four novel subgenome-wide regions at 7p22.2, 7q22.1, 9p12, and 11q13.3 were identified (P < 5 × 10−7). Promoter-associated HiChIP chromatin loops from immortalized endometrium and ovarian cell lines and expression quantitative trait loci data highlighted candidate target genes for further investigation. Conclusions: Using cross-cancer GWAS meta-analysis, we have identified several joint endometrial and ovarian cancer risk loci and candidate target genes for future functional analysis. Impact: Our research highlights the shared genetic relationship between endometrial cancer and ovarian cancer. Further studies in larger sample sets are required to confirm our findings.
Multi-Institutional Reciprocal Validation Study of Computed Tomography Predictors of Suboptimal Primary Cytoreduction in Patients With Advanced Ovarian Cancer
Axtell, Allison E., Lee, Margaret H., Bristow, Robert E. , Dowdy, Sean C. , Cliby, William A. , Raman, Steven, Weaver, John P. , Gabbay, Mojan, Ngo, Michael , Lentz, Scott E. , Cass, Ilana , Li, Andrew J., Holschneider, Christine H., Karlan, Beth Y.
Journal of Clinical Oncology | February 2, 2007 | Volume: 25 | Issue: 4 | Pages: 384-389
Purpose Identify features on preoperative computed tomography (CT) scans to predict suboptimal primary cytoreduction in patients treated for advanced ovarian cancer in institution A. Reciprocally cross validate the predictors identified with those from two previously published cohorts from institutions B and C. Patients and Methods Preoperative CT scans from patients with stage III/IV epithelial ovarian cancer who underwent primary cytoreduction in institution A between 1999 and 2005 were retrospectively reviewed by radiologists blinded to surgical outcome. Fourteen criteria were assessed. Crossvalidation was performed by applying predictive model A to the patients from cohorts B and C, and reciprocally applying predictive models B and C to cohort A. Results Sixty-five patients from institution A were included. The rate of optimal cytoreduction (≤ 1 cm residual disease) was 78%. Diaphragm disease and large bowel mesentery implants were the only CT predictors of suboptimal cytoreduction on univariate (P < .02) and multivariate analysis (P < .02). In combination (model A), these predictors had a sensitivity of 79%, a specificity of 75%, and an accuracy of 77% for suboptimal cytoreduction. When model A was applied to cohorts B and C, accuracy rates dropped to 34% and 64%, respectively. Reciprocally, models B and C had accuracy rates of 93% and 79% in their original cohorts, which fell to 74% and 48% in cohort A. Conclusion The high accuracy rates of CT predictors of suboptimal cytoreduction in the original cohorts could not be confirmed in the cross validation. Preoperative CT predictors should be used with caution when deciding between surgical cytoreduction and neoadjuvant chemotherapy.