A predictive study of genes related to lactic acid metabolism in cervical carcinoma

Abstract Objectives Lactic acid metabolism, a hallmark of carcinogenesis, may play potential roles in cervical carcinoma, assisting the prognosis prediction. Materials and Methods A regression analysis was conducted to identify the ones with the most frequent variation in mutations and CNV changes in lactate metabolism‐related (L‐related) genes, after which a prognostic nomogram was built based on selected genes and clinical features by machine learning methods. Results EGLN1 , IL1 , IL12RB1 , ENO1 , and 10 other genes had the most frequent changes and prognostic differences in overall survival (OS). The lactated associated risk (LAR) score model can distinguish the patients in OS ( p = 0.046, HR = 101.9, 95%CI 1.1–9447.6), and together with clinical features has a higher AUC (AUC = 0.839). Furthermore, CD8 + T, activated CD4 + memory T and resting mast cells were significantly negatively associated with the LAR score. Conclusions Lactic acid metabolism is closely related to the prognosis of cervical carcinoma, where the immune microenvironment may play an important role.