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（Copy Number Variations）可能是宫颈癌发生发展过程中关键的基因组层面影响因素。LAR评分模型在预测宫颈癌患者总生存期（Overall Survival）方面表现优异。该LAR评分模型或可辅助预测免疫检查点抑制剂（Immune Checkpoint Inhibitor, ICI）治疗的临床疗效。乳酸代谢与宫颈癌患者的预后密切相关，研究表明免疫微环境在此过程中发挥了重要作用。