1. Clinical impact of EZH2 and its antagonist SMARCA4 in ovarian cancer.
- Author
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Leitner K, Tsibulak I, Wieser V, Knoll K, Reimer D, Marth C, Fiegl H, and Zeimet AG
- Subjects
- Adult, Aged, Aged, 80 and over, Carcinoma, Ovarian Epithelial mortality, Carcinoma, Ovarian Epithelial pathology, Carcinoma, Ovarian Epithelial surgery, Case-Control Studies, DNA Helicases metabolism, Enhancer of Zeste Homolog 2 Protein metabolism, Fallopian Tubes pathology, Fallopian Tubes surgery, Female, Humans, Mad2 Proteins genetics, Mad2 Proteins metabolism, Middle Aged, Neoplasm Grading, Neoplasm Staging, Nuclear Proteins metabolism, Ovarian Neoplasms mortality, Ovarian Neoplasms pathology, Ovarian Neoplasms surgery, Ovary pathology, Ovary surgery, Poly(ADP-ribose) Polymerases genetics, Poly(ADP-ribose) Polymerases metabolism, RNA, Messenger genetics, RNA, Messenger metabolism, ROC Curve, Signal Transduction, Survival Analysis, Transcription Factors metabolism, Carcinoma, Ovarian Epithelial genetics, DNA Helicases genetics, Enhancer of Zeste Homolog 2 Protein genetics, Gene Expression Regulation, Neoplastic, Nuclear Proteins genetics, Ovarian Neoplasms genetics, Transcription Factors genetics
- Abstract
SMARCA4 and EZH2 are two functional key players of their respective antagonizing chromatin remodeling complexes SWI/SNF and PRC2. EZH2 inhibitory drugs may abrogate pro-oncogenic features of PRC2 and turn the balance to cell differentiation via SWI/SNF activity in cancers. SMARCA4 and EZH2 expression was assessed by RT-PCR in 238 epithelial ovarian cancers (OCs) and put in relation to clinico-pathological parameters and patients' outcome. Optimal thresholds for high and low expression of both variables were calculated by the Youden's index based on receiver operating characteristic (ROC) curves. High SMARCA4 mRNA expression was independently associated with favorable progression-free survival (PFS) (P = 0.03) and overall survival (OS) (P = 0.018). As Youden's threshold determination for EZH2 yielded a S-shaped ROC-curve, two cut-off points (29th and 94th percentile) predicting opposite features were defined. Whereas EZH2 mRNA levels beyond the 29th percentile independently predicted poor PFS (P = 0.034), Cox-regression in EZH2 transcripts above the 94th percentile revealed a conversion from unfavorable to favorable PFS and OS (P = 0.009 and P = 0.032, respectively). High SMARCA4 expression associates with improved survival, whereas moderate/high EZH2 expression predicts poor outcome, which converts to favorable survival in ultra-high expressing OCs. This small OC subgroup could be characterized by REV7-abrogated platinum hypersensitivity but concomitant PARP-inhibitor resistance.
- Published
- 2020
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