%0 Journal Article
%A Millstein, J.
%A Budden, T.
%A Goode, E. L.
%A Anglesio, M. S.
%A Talhouk, A.
%A Intermaggio, M. P.
%A Leong, H. S.
%A Chen, S.
%A Elatre, W.
%A Gilks, B.
%A Nazeran, T.
%A Volchek, M.
%A Bentley, R. C.
%A Wang, C.
%A Chiu, D. S.
%A Kommoss, S.
%A Leung, S. C. Y.
%A Senz, J.
%A Lum, A.
%A Chow, V.
%A Sudderuddin, H.
%A Mackenzie, R.
%A George, J.
%A Fereday, S.
%A Hendley, J.
%A Traficante, N.
%A Steed, H.
%A Koziak, J. M.
%A Köbel, M.
%A McNeish, I. A.
%A Goranova, T.
%A Ennis, D.
%A Macintyre, G.
%A Silva De Silva, D.
%A Ramón Y Cajal, T.
%A García-Donas, J.
%A Hernando Polo, S.
%A Rodriguez, G. C.
%A Cushing-Haugen, K. L.
%A Harris, H. R.
%A Greene, C. S.
%A Zelaya, R. A.
%A Behrens, S.
%A Fortner, R. T.
%A Sinn, P.
%A Herpel, E.
%A Lester, J.
%A Lubiński, J.
%A Oszurek, O.
%A Tołoczko, A.
%A Cybulski, C.
%A Menkiszak, J.
%A Pearce, C. L.
%A Pike, M. C.
%A Tseng, C.
%A Alsop, J.
%A Rhenius, V.
%A Song, H.
%A Jimenez-Linan, M.
%A Piskorz, A. M.
%A Gentry-Maharaj, A.
%A Karpinskyj, C.
%A Widschwendter, M.
%A Singh, N.
%A Kennedy, C. J.
%A Sharma, R.
%A Harnett, P. R.
%A Gao, B.
%A Johnatty, S. E.
%A Sayer, R.
%A Boros, J.
%A Winham, S. J.
%A Keeney, G. L.
%A Kaufmann, S. H.
%A Larson, M. C.
%A Luk, H.
%A Hernandez, B. Y.
%A Thompson, P. J.
%A Wilkens, L. R.
%A Carney, M. E.
%A Trabert, B.
%A Lissowska, J.
%A Brinton, L.
%A Sherman, M. E.
%A Bodelon, C.
%A Hinsley, S.
%A Lewsley, L. A.
%A Glasspool, R.
%A Banerjee, S. N.
%A Stronach, E. A.
%A Haluska, P.
%A Ray-Coquard, I.
%A Mahner, S.
%A Winterhoff, B.
%A Slamon, D.
%A Levine, D. A.
%A Kelemen, L. E.
%A Benitez, J.
%A Chang-Claude, J.
%A Gronwald, J.
%A Wu, A. H.
%A Menon, U.
%A Goodman, M. T.
%A Schildkraut, J. M.
%A Wentzensen, N.
%A Brown, R.
%A Berchuck, A.
%A Chenevix-Trench, G.
%A deFazio, A.
%A Gayther, S. A.
%A García, M. J.
%A Henderson, M. J.
%A Rossing, M. A.
%A Beeghly-Fadiel, A.
%A Fasching, P. A.
%A Orsulic, S.
%A Karlan, B. Y.
%A Konecny, G. E.
%A Huntsman, D. G.
%A Bowtell, D. D.
%A Brenton, J. D.
%A Doherty, J. A.
%A Pharoah, P. D. P.
%A Ramus, S. J.
%T Prognostic gene expression signature for high-grade serous ovarian cancer.
%J Annals of oncology
%V 31
%N 9
%@ 0923-7534
%C Oxford
%I Oxford Univ. Press
%M DKFZ-2020-01260
%P 1240-1250
%D 2020
%Z 2020 Sep;31(9):1240-1250
%X Median overall survival (OS) for women with high-grade serous ovarian cancer (HGSOC) is ∼4 years, yet survival varies widely between patients. There are no well-established, gene expression signatures associated with prognosis. The aim of this study was to develop a robust prognostic signature for OS in patients with HGSOC.Expression of 513 genes, selected from a meta-analysis of 1455 tumours and other candidates, was measured using NanoString technology from formalin-fixed paraffin-embedded tumour tissue collected from 3769 women with HGSOC from multiple studies. Elastic net regularization for survival analysis was applied to develop a prognostic model for 5-year OS, trained on 2702 tumours from 15 studies and evaluated on an independent set of 1067 tumours from six studies.Expression levels of 276 genes were associated with OS (false discovery rate < 0.05) in covariate-adjusted single-gene analyses. The top five genes were TAP1, ZFHX4, CXCL9, FBN1 and PTGER3 (P < 0.001). The best performing prognostic signature included 101 genes enriched in pathways with treatment implications. Each gain of one standard deviation in the gene expression score conferred a greater than twofold increase in risk of death [hazard ratio (HR) 2.35, 95
%F PUB:(DE-HGF)16
%9 Journal Article
%$ pmid:32473302
%R 10.1016/j.annonc.2020.05.019
%U https://inrepo02.dkfz.de/record/156955