Analysis of prognostic value of lactate metabolism-related genes in ovarian cancer based on bioinformatics

• DOI: 10.1186/s13048-024-01426-z
• Publication Date: 2024-05-22T11:03:10Z
• Authors: Jinrui Sun; Qinmei Feng; Yingying Xu; Ping Liu; Yumei Wu
• Keywords: Ovarian Neoplasms; 0301 basic medicine; Research; Computational Biology; qRT-PCR; Gynecology and obstetrics; Kaplan-Meier Estimate; Middle Aged; Prognosis; Gene Expression Regulation, Neoplastic; Lactate metabolism-related genes; Nomograms; 03 medical and health sciences; Ovarian cancer; RG1-991; Humans; Female; Lactic Acid; Prognostic model

Abstract Background Recent studies have provided evidence supporting the functional role and mechanism of lactate in suppressing anticancer immunity. However, there is no systematic analysis metabolism-related genes (LMRGs) ovarian cancer (OV) prognosis. Results Six (CCL18, CCND1, MXRA5, NRBP2, OLFML2B THY1) were selected as prognostic a model was utilized. Kaplan-Meier (K-M) Receiver Operating Characteristic (ROC) analyses further performed indicated that effective. Subsequently, neoplasm_cancer_status RiskScore determined independent factors, nomogram established with relatively accurate forecasting ability. Additionally, 2 types immune cells (Central memory CD8 T cell Immature B cell), 4 functions (APC co inhibition, DCs, Tfh Th1 cells), 9 checkpoints (BTLA, CTLA4, IDO1, LAG3, VTCN1, CXCL10, CXCL9, IFNG, CD27) tumor dysfunction exclusion (TIDE) scores significantly different between risk groups. The expression 6 verified by quantitative Real-Time Polymerase Chain Reaction (qRT-PCR) higher high-grade serous carcinoma (HGSC) samples. Conclusion A related to metabolism for OV based on six could provide new insights into therapy.