Construction and validation of a novel ferroptosis-related signature for evaluating prognosis and immune microenvironment in ovarian cancer

• DOI: 10.3389/fgene.2022.1094474
• Publication Date: 2023-01-05T10:12:52Z
• Authors: Jiani Yang; Chao Wang; Shanshan Cheng; Yue Zhang; Yue Jin; Nan Zhang; Yu Wang
• Keywords: Nomogram; Gene signature

Ovarian cancer (OV) is the most lethal form of gynecological malignancy worldwide, with limited therapeutic options and high recurrence rates. However, research focusing on prognostic patterns ferroptosis-related genes (FRGs) in ovarian still lacking. From 6,406 differentially expressed (DEGs) between TCGA-OV ( n = 376) GTEx cohort 180), we identified 63 potential genes. Through LASSO-penalized Cox analysis, 3 genes, SLC7A11, ZFP36, TTBK2, were finally distinguished. The time-dependent ROC curves K-M survival analysis performed powerful ability 3-gene signature. Stepwise, constructed validated nomogram based signature clinical features, promising value both TCGA p -value < .0001) ICGC .0064). Gene Set Enrichment Analysis elucidated several pathways groups stratified by signature, while m6A gene implied higher level high-risk group. We applied CIBERSORT algorithm to distinct tumor immune microenvironment two groups, less activated dendritic cells (DCs) plasma cells, more M0 macrophages infiltration, expression key checkpoint molecules (CD274, CTLA4, HAVCR2, PDCD1LG2) In addition, low-risk group exhibited favorable immunotherapy chemotherapy responses. Collectively, our findings provided new prospects role as a prediction tool for prognosis responses, order assist personalized treatment decision-making among patients.