%0 Journal Article
%A Talhouk, Aline
%A George, Joshy
%A Wang, Chen
%A Budden, Timothy
%A Tan, Tuan Zea
%A Chiu, Derek S
%A Kommoss, Stefan
%A Leong, Huei San
%A Chen, Stephanie
%A Intermaggio, Maria P
%A Gilks, Blake
%A Nazeran, Tayyebeh Mehrane
%A Volchek, Mila
%A Elatre, Wafaa
%A Bentley, Rex C
%A Senz, Janine
%A Lum, Amy
%A Chow, Veronica
%A Sudderuddin, Hanwei
%A Mackenzie, Robertson
%A Leung, Samuel
%A Liu, Geyi
%A Johnson, Dustin
%A Chen, Billy
%A Ovarian Cancer Study, Australian
%A Alsop, Jennifer
%A Banerjee, Susana
%A Behrens, Sabine
%A Bodelon, Clara
%A Brand, Alison H
%A Brinton, Louise A
%A Carney, Michael E
%A Chiew, Yoke-Eng
%A Cushing-Haugen, Kara L
%A Cybulski, Cezary
%A Ennis, Darren
%A Fereday, Sian
%A Turzanski-Fortner, Renée
%A García-Donás, Jesus
%A Gentry-Maharaj, Aleksandra
%A Glasspool, Rosalind
%A Goranova, Teodora
%A Greene, Casey S
%A Haluska, Paul
%A Harris, Holly R
%A Hendley, Joy
%A Hernandez, Brenda Y
%A Herpel, Esther
%A Jimenez-Linan, Mercedes
%A Karpinskyj, Chloe
%A Kaufmann, Scott Harold
%A Keeney, Gary
%A Kennedy, Catherine J
%A Köbel, Martin
%A Koziak, Jennifer
%A Larson, Melissa C
%A Lester, Jenny
%A Lewsley, Liz-Anne
%A Lissowska, Jolanta
%A Lubiński, Jan
%A Luk, Hugh
%A Macintyre, Geoff
%A Mahner, Sven
%A McNeish, Iain A
%A Menkiszak, Janusz
%A Nevins, Nikilyn
%A Osorio, Ana
%A Oszurek, Oleg
%A Palacios, Jose
%A Hinsley, Samantha
%A Pearce, Celeste L
%A Pike, Malcolm C
%A Piskorz, Anna
%A Ray-Coquard, Isabelle
%A Rhenius, Valerie
%A Rodríguez-Antona, Cristina
%A Sharma, Raghwa
%A Sherman, Mark E
%A Silva, Dilrini
%A Singh, Naveena
%A Sinn, Hans-Peter
%A Slamon, Dennis J
%A Song, Honglin
%A Steed, Helen
%A Stronach, Euan A
%A Thompson, Pamela J
%A Tołoczko-Grabarek, Aleksandra
%A Trabert, Britton
%A Traficante, Nadia
%A Tseng, Chiu-Chen
%A Widschwendter, Martin
%A Wilkens, Lynne R
%A Winham, Stacey J
%A Winterhoff, Boris J
%A Beeghly-Fadiel, Alicia
%A Benitez, Javier
%A Berchuck, Andrew
%A Brenton, James D
%A Brown, Robert
%A Chang-Claude, Jenny
%A Chenevix-Trench, Georgia
%A DeFazio, Anna
%A Fasching, Peter A
%A Garcia, Maria J
%A Gayther, Simon A
%A Goodman, Marc T
%A Gronwald, Jacek
%A Henderson, Michelle J
%A Karlan, Beth Y
%A Kelemen, Linda E
%A Menon, Usha
%A Orsulic, Sandra
%A Pharoah, Paul D P
%A Wentzensen, Nicolas
%A Wu, Anna H
%A Shildkraut, Joellen
%A Rossing, Mary Anne
%A Konecny, Gottfried E
%A Huntsman, David G
%A Huang, Ruby Yun-Ju
%A Goode, Ellen L
%A Ramus, Susan J
%A Doherty, Jennifer A
%A Bowtell, David D L
%A Anglesio, Michael S
%T Development and validation of the gene-expression Predictor of high-grade-serous Ovarian carcinoma molecular subTYPE (PrOTYPE).
%J Clinical cancer research
%V 26
%N 20
%@ 1557-3265
%C Philadelphia, Pa. [u.a.]
%I AACR
%M DKFZ-2020-01159
%P 5411-5423
%D 2020
%Z 2020 Oct 15;26(20):5411-5423
%X Gene-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 non-standardized 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.Adopting two independent approaches, we derived and internally validated algorithms for subtype prediction using published gene-expression data from 1650 tumors. We applied resulting models to NanoString data on 3829 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.Gene-expression data was 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
%F PUB:(DE-HGF)16
%9 Journal Article
%$ pmid:32554541
%R 10.1158/1078-0432.CCR-20-0103
%U https://inrepo02.dkfz.de/record/156842