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.
方法:进行回归分析,以确定乳酸代谢相关(L相关)基因中突变和CNV变化最频繁的那些,之后,通过机器学习方法,基于选择的基因和临床特征构建预后列线图。
结果:EGLN1、IL1、IL12RB1、ENO1和其他10个基因在总生存期(OS)中具有最常见的变化和预后差异。乳酸相关风险(LAR)评分模型可以区分患者的OS(p=0.046,HR=101.9,95CI1.1-9447.6),与临床特征一起具有较高的AUC(AUC=0.839)。此外,CD8+T,激活的CD4+记忆T细胞和静息肥大细胞与LAR评分显著负相关。
结论:乳酸代谢与宫颈癌的预后密切相关。免疫微环境可能发挥重要作用。