dataset of ou jie

Extensive mutations and copy number variations may be an important genome-level factor in the occurrence and development of cervical carcinoma.The LAR score model exhibited a good performance in predicting the OS of cervical carcinoma patients.The LAR score model might help predict the efficacy of ICI therapy.Latic acid metabolism is closely related to the prognosis of cervical carcinoma, where The immune microenvironment was indicated to play an important role.广泛的基因突变与拷贝数变异或是宫颈癌发生发展进程中关键的基因组水平影响因子。LAR评分模型（LAR score model）在预测宫颈癌患者总生存期（Overall Survival, OS）方面表现良好。该LAR评分模型或可辅助预测免疫检查点抑制剂（Immune Checkpoint Inhibitor, ICI）治疗的疗效。乳酸代谢与宫颈癌预后密切相关，其中免疫微环境被证实发挥了重要作用。