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Development and validation of a RNAseq signature for prognostic stratification in endometrial cancer.
- Source :
-
Gynecologic Oncology . Mar2022, Vol. 164 Issue 3, p596-606. 11p. - Publication Year :
- 2022
-
Abstract
- Despite recent advances in endometrial carcinoma (EC) molecular characterization, its prognostication remains challenging. We aimed to assess whether RNAseq could stratify EC patient prognosis beyond current classification systems. A prognostic signature was identified using a LASSO-penalized Cox model trained on TCGA (N = 543 patients). A clinically applicable polyA-RNAseq-based work-flow was developed for validation of the signature in a cohort of stage I-IV patients treated in two Hospitals [2010–2017]. Model performances were evaluated using time-dependent ROC curves (prediction of disease-specific-survival (DSS)). The additional value of the RNAseq signature was evaluated by multivariable Cox model, adjusted on high-risk prognostic group (2021 ESGO-ESTRO-ESP guidelines: non-endometrioid histology or stage III-IVA or TP53 -mutated molecular subgroup). Among 209 patients included in the external validation cohort, 61 (30%), 10 (5%), 52 (25%), and 82 (40%), had mismatch repair-deficient, POLE -mutated, TP53 -mutated tumors, and tumors with no specific molecular profile, respectively. The 38-genes signature accurately predicted DSS (AUC = 0.80). Most disease-related deaths occurred in high-risk patients (5-years DSS = 78% (95% CI = [68%–89%]) versus 99% [97%–100%] in patients without high-risk). A composite classifier accounting for the TP53- mutated subgroup and the RNAseq signature identified three classes independently associated with DSS: RNAseq-good prognosis (reference, 5-years DSS = 99%), non- TP53 tumors but with RNAseq-poor prognosis (adjusted-hazard ratio (aHR) = 5.75, 95% CI[1.14–29.0]), and TP53 -mutated subgroup (aHR = 5.64 [1.12–28.3]). The model accounting for the high-risk group and the composite classifier predicted DSS with AUC = 0.84, versus AUC = 0.76 without (p = 0.01). RNA-seq profiling can provide an additional prognostic information to established classification systems, and warrants validation for potential RNAseq-based therapeutic strategies in EC. • One out of 3 endometrial cancer (EC) are at high risk of relapse (2021 guidelines). • Histological and molecular features of this group are widely heterogeneous. • RNAseq prognostication is feasible & robust from routine practice FFPE EC samples. • Integrating RNAseq to current classification improves EC prognostic stratification. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00908258
- Volume :
- 164
- Issue :
- 3
- Database :
- Academic Search Index
- Journal :
- Gynecologic Oncology
- Publication Type :
- Academic Journal
- Accession number :
- 155456446
- Full Text :
- https://doi.org/10.1016/j.ygyno.2022.01.005