Abstract
BackgroundExisting clinical methods for prognosis evaluating for Epithelial Ovarian Cancer (EOC) patients had defects of invasive, unsystematic and subjective and little data are available for individualizing treatment, therefore, to identify potential prognostic markers and new therapeutic targets for EOC is urgently required.ResultsExpression of 232 autophagy-related genes (ARGs) in 354 EOC and 56 human ovarian surface epithelial specimens from 7 independent laboratories were analyzed, 31 mRNAs were identified as DEARGs. We did functional and pathway enrichment analysis and constructed protein–protein interaction network for all DEARGs. To screen out candidate DEARGs related to EOC patients’ survival and construct an autophagy-related prognostic risk signature, univariate and multivariate Cox proportional hazards models were established separately. Finally, 5 optimal independent prognostic DEARGs (PEX3, DNAJB9, RB1, HSP90AB1 and CXCR4) were confirmed and the autophagy-related risk model was established by the 5 prognostic DEARGs. The accuracy and robustness of the prognostic risk model for survival prediction were evaluated and verified by analyzing the correlation between EOC patients’ survival status, clinicopathological features and risk scores.ConclusionsThe autophagy-related prognostic risk model can be independently used to predict overall survival in EOC patients, it can also potentially assist in individualizing treatment and biomarker development.
Highlights
Ovarian cancer (OC) has the highest morbidity and mortality in the female genital tract [1]
The expression of 31 differentially expressed autophagy-related genes (DEARGs) between Epithelial Ovarian Cancer (EOC) tissues and human ovarian surface epithelial (HOSE) tissues was visualized by scatter plots (Fig. 1c)
The results suggest that most autophagyrelated independent potential prognostic markers were identified and verified in other cancers except EOC, identifying potential prognostic markers and new therapeutic targets for EOC patients is essential
Summary
Ovarian cancer (OC) has the highest morbidity and mortality in the female genital tract [1]. Epithelial ovarian cancer (EOC) is the most common type of OC which accounts for almost 90% of all ovarian cancers [4, 5] It generally presents at an advanced stage in over 70% of patients contributing to a high death rate, where the long term survival rate (10 years) is estimated at 15–30% [6, 7]. Existing clinical methods for prognosis evaluating for Epithelial Ovarian Cancer (EOC) patients had defects of invasive, unsystematic and subjective and little data are available for individualizing treatment, to identify potential prognostic markers and new therapeutic targets for EOC is urgently required
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