SLC6A7 as a Novel Prognostic and Diagnostic Biomarker in the Ovarian Serous Cystadenocarcinoma by Bioinformatics Approaches
摘要
Ovarian serous cystadenocarcinoma (OSC), accounting for approximately 90% of ovarian cancer cases, poses a significant global health issue due to the lack of effective screening methods. SLC6A7, a member of the solute carrier family, has emerged as a potential biomarker in cancer research, though its role in OSC remains underexplored.
MethodsRNA expression profiling was performed using data from ovarian cancer patients in the TCGA database. Differentially expressed genes (DEGs) were identified using the Limma package in R. Prognostic biomarkers, and a risk model was developed using the Cox proportional hazard regression model and Kaplan–Meier survival analysis. Molecular pathways, protein–protein interaction (PPI) networks, and clinical and disease data correlations were further analyzed.
ResultsKey findings include the identification of 393 DEGs, with eight genes (AVP, C8B, NACAP1, NHLH2, PTTG2, RRH, UBE2NL, and SLC6A7) overlapping as prognostic markers. SLC6A7 exhibited prognostic relevance (hazard ratio [HR] = 1.32, 95% CI 1.10–1.58, P = 0.0027) and diagnostic potential (AUC = 0.854). Enrichment analysis linked these genes to histone modifications and fatty acid omega oxidation pathways.
ConclusionCombining DEGs and prognostic genes provides insights into potential biomarkers for OSC. These findings suggest the possibility of early diagnosis, targeted therapy, and improved patient outcomes. SLC6A7 shows promise as a prognostic and diagnostic biomarker in OSC, though further experimental validation is needed to confirm its clinical utility.