Integration of copy number and transcriptomics provides risk stratification in prostate cancer: A discovery and validation cohort study.
Ross-Adams H, Lamb AD, Dunning MJ, Halim S, Lindberg J, Massie CM, Egevad LA, Russell R, Ramos-Montoya A, Vowler SL, Sharma NL, Kay J, Whitaker H, Clark J, Hurst R, Gnanapragasam VJ, Shah NC, Warren AY, Cooper CS, Lynch AG, Stark R, Mills IG, Grönberg H, Neal DE; CamCaP Study Group.
Ross-Adams H, et al.
EBioMedicine. 2015 Jul 29;2(9):1133-44. doi: 10.1016/j.ebiom.2015.07.017. eCollection 2015 Sep.
EBioMedicine. 2015.
PMID: 26501111
Free PMC article.
We confirm alterations in six genes previously associated with prostate cancer (MAP3K7, MELK, RCBTB2, ELAC2, TPD52, ZBTB4), and also identify 94 genes not previously linked to prostate cancer progression that would not have been detected using either transcript or copy num …
We confirm alterations in six genes previously associated with prostate cancer (MAP3K7, MELK, RCBTB2, ELAC2, TPD52, ZBTB4), and also …