Abstract：
OBJECTIVE: Lactic acid metabolism, a hallmark of carcinogenesis, may play potential roles in cervical carcinoma, assisting the prognosis prediction.
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.
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.
摘要：
目的：乳酸代谢，致癌作用的标志,可能在宫颈癌中发挥潜在作用，辅助预后预测。
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。
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。
