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肿瘤突变负担对肺癌免疫治疗反应的预测能力受患者性别影响。

The predictive power of tumor mutational burden in lung cancer immunotherapy response is influenced by patients' sex.

机构信息

School of Life Science and Technology, ShanghaiTech University, Shanghai, China.

Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai, China.

出版信息

Int J Cancer. 2019 Nov 15;145(10):2840-2849. doi: 10.1002/ijc.32327. Epub 2019 Apr 29.

Abstract

Immunotherapy, represented by immune checkpoint inhibitors (ICI), is transforming the treatment of cancer. However, only a fraction of patients show response to ICI, and there is an unmet need for biomarkers that will identify patients more likely to respond to ICI. Here we report that the ICI response prediction biomarker tumor mutational burden (TMB) shows significant sex differences. TMB's predictive power is significantly better for female than for male lung cancer patients. Receiver operating characteristic curve analysis was performed and the area under the curve (AUC) was reported to evaluate the predictive power of TMB in lung cancer ICI response. Hazard ratios (HR) of TMB-high vs. TMB-low patients were compared between male and female patients. Both AUC and HR differences between female and male are significant in all available independent lung cancer datasets. However, the AUC of programmed death ligand 1 (PD-L1) expression does not show a difference between female and male, suggesting TMB, but not PD-L1 expression has a better predictive power for female than for male lung cancer patients. Our study suggests significant sex differences in the performance of TMB in ICI response prediction. Future development of ICI biomarker should consider sex differences and special efforts should be paid to improve the performance of ICI predictive biomarkers for male lung cancer patients.

摘要

免疫疗法,以免疫检查点抑制剂(ICI)为代表,正在改变癌症的治疗方式。然而,只有一小部分患者对 ICI 有反应,因此需要生物标志物来识别更有可能对 ICI 有反应的患者。在这里,我们报告称,ICI 反应预测生物标志物肿瘤突变负担(TMB)显示出显著的性别差异。TMB 对女性肺癌患者的预测能力明显优于男性。进行了接收者操作特征曲线分析,并报告了曲线下面积(AUC)以评估 TMB 在肺癌 ICI 反应中的预测能力。比较了 TMB 高与 TMB 低患者在男性和女性患者之间的风险比(HR)。在所有可用的独立肺癌数据集,AUC 和 HR 差异在女性和男性之间均具有统计学意义。然而,程序性死亡配体 1(PD-L1)表达的 AUC 没有显示出女性和男性之间的差异,这表明 TMB 而不是 PD-L1 表达对女性比男性肺癌患者具有更好的预测能力。我们的研究表明,TMB 在 ICI 反应预测中的表现存在显著的性别差异。未来的 ICI 生物标志物的开发应考虑到性别差异,并应特别努力提高 ICI 预测生物标志物对男性肺癌患者的性能。

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