Abstract
BackgroundEndometrial cancer (EC) is one of the most common gynecological malignancies worldwide. However, the molecular mechanisms and the prognostic prediction for EC patients remain unclear.MethodsIn the current study, we performed an in-depth analysis of over 500 patients which were obtained from the Cancer Genome Atlas (TCGA) database. The bioinformatics analysis included gene set enrichment analysis (GSEA) and Cox and lasso regression analyses to ensure overall survival (OS)-related genes, moreover, to construct a prognostic model and a nomogram for EC patients.ResultsGSEA identified 4 gene sets significantly associated with EC, which are DNA repair, unfolded protein response, reactive oxygen species pathway and UV response up. Twenty-five OS-related DNA repair genes were screened out, after that, a 9-mRNA signature was constructed to measure the risk scores of patients with different outcomes. In addition, a nomogram contained the 9-mRNA model and clinical parameters was also presented to assess the prognosis. Patients with low risk were more likely to have sensitivity to paclitaxel, vinblastine, rapamycin, metformin, imatinib, Akt inhibitor and lapatinib.ConclusionsThe identified highly enriched gene sets may offer a novel insight into the tumorigenesis and treatment of EC. Additionally, the constructed 9-mRNA model and the nomogram have prominent clinical implications for prognosis evaluation and specific therapy guidance for EC patients.
Highlights
Endometrial cancer (EC) is one of the most common gynecological malignancies worldwide
Identification of nine DNA repair-related genes and their characteristics Through conducting univariate Cox regression analysis in the training cohort, a total of twenty-five genes were demonstrated to be associated with the overall survival (OS) of EC patients (P < 0.05)
Based on the GEPIA web-based tool and the results from our recruited cohort, we found that tumor protein p53 (TP53), replication factor C 2 (RFC2), TAF10 RNA polymerase II (TAF10), uridine monophosphate synthetase (UMPS) and SEC61A1 were overexpressed in EC patients, while damage-specific DNA binding protein 2 (DDB2) was downregulated in cancer tissues (Fig. S3, Fig. 3)
Summary
Endometrial cancer (EC) is one of the most common gynecological malignancies worldwide. Endometrial cancer (EC) is a common malignancy for female which caused over 89,000 deaths in the last year all over the word [1]. This disease is generally implied a favorable prognosis at an early stage with a high survival rate (over 95%) due to fairly frequent early vaginal bleeding. 30% of EC patients are diagnosed at a late stage with regional or distant metastasis, resulting in less than 20% 5-year survival rate. Given the limitations of the Federation Internationale of Gynecologie and Obstetrigue (FIGO) staging system and histological classification for the evaluation of prognosis, identifying predictive biomarkers and incorporating genetic features into the evaluation systems to help clinicians provide rational therapy and predict prognosis are truly imperative [2, 3]
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
