Prognostic value of an autophagy-related gene expression signature for endometrial cancer patients

Abstract

Background: Autophagy is associated with cancer development. Autophagy-related genes play significant roles in endometrial cancer (EC), a major gynecological malignancy worldwide, but little was known about their value as prognostic markers. Here we evaluated the value of a prognostic signature based on autophagy-related genes for EC. Methods: First, various autophagy-related genes were obtained via the Human Autophagy Database and their expression profiles were downloaded from The Cancer Genome Atlas. Second, key prognostic autophagy-related genes were identified via univariat, LASSO and multivariate Cox regression analyses. Finally, a risk score to predict the prognosis of EC was calculated and validated by using the test and the entire data sets. Besides, the key genes mRNA expression were validated using quantitative real-time PCR in clinical tissue samples. Results: A total of 40 differentially expressed autophagy-related genes in EC were screened and five of them were prognosis-related (CDKN1B, DLC1, EIF4EBP1, ERBB2 and GRID1). A prognostic signature was constructed based on these five genes using the train set, which stratified EC patients into high-risk and low-risk groups (P<0.05). In terms of overall survival, the analyses of the test set and the entire set yielded consistent results (test set: p < 0.05; entire set: p < 0.05). Time-dependent ROC analysis suggested that the risk score predicted EC prognosis accurately and independently (0.674 at 1 year, 0.712 at 3 years and 0.659 at 5 years). A nomogram with clinical utility was built. Patients in the high-risk group displayed distinct mutation signatures compared with those in the low-risk group. For clinical sample validation, we found that EIF4EBP1and ERBB2 had higher level in EC than that in normal tissues while CDKN1B, DLC1 and GRID1 had lower level, which was consistent with the results predicted. Conclusions: Based on five autophagy-related genes (CDKN1B, DLC1, EIF4EBP1, ERBB2 and GRID1), our model can independently predict the OS of EC patients by combining molecular signature and clinical characteristics.

Tcf12 is required to sustain myogenic genes synergism with MyoD by remodelling the chromatin landscape

“…Unlike the equal MyoG mRNA expression in WT and TCF12KO myotubes, the protein was impaired upon TCF12 deletion in limb muscle. We found that Eif4ebp1, a translation repressor protein, was specifically upregulated after TCF12 ablation in myoblasts and myotubes 46 (Supplementary Fig. 3g).…”

The Critical Role of PTEN Mutation in Cellular Process and Drug Selection of Endometrial Cancer

“…Endometrial cancer (EC) is one of the most common malignancies of the female reproductive system [1][2][3]. The incidence of endometria cancer is still increasing as a consequence of the populations increasing life expectancy and the overall prevalence of obesity and metabolic syndromes [4]. The number of new cases and deaths is expected to increase by 17.4 and 20.3 percent by 2025, respectively [5].…”