Nu Er Lan Sai Te Er, Yu Bo, Yang Yan, Shen Yanli, Xu Bing, Zhan Yiyi, Liu Chunling
Department of Pulmonary Medicine, Affiliated Tumor Hospital of Xinjiang Medical University, Urumqi, Xinjiang, 830001, People's Republic of China.
Beijing USCI Medical Laboratory, Beijing, 100195, People's Republic of China.
Cancer Manag Res. 2024 Dec 10;16:1759-1773. doi: 10.2147/CMAR.S491661. eCollection 2024.
Lung cancer is a severe malignant tumor. This study aims to more comprehensively characterize lung cancer patients and identify combination markers for immunotherapy.
We gathered data from 166 lung cancer patients at the Cancer Hospital Affiliated with Xinjiang Medical University. The collected samples underwent NGS sequencing using a panel of 616 genes associated with cancer. Subsequently, data analysis was conducted to identify markers that are more suitable for lung cancer immunotherapy.
In this study, the most common variant genes in LUAD were TP53, EGFR, MST1, KMT2C, RBM10, LRP1B. Meanwhile, the highest mutation frequency genes in LUSC samples were TP53, KMT2D, LRP1B, FAT1, MST1, KMT2C. Mutation frequencies, tumor mutation burden (TMB), PD-L1 expression, and mutant-allele tumor heterogeneity (MATH) values differed between LUAD and LUSC, with LUSC exhibiting higher values than LUAD. Irrespective of LUAD or LUSC, patients with TMB≥10 demonstrated better immunotherapy efficacy compared to patients with TMB<10. Similarly, when PD-L1≥50%, whether in LUAD or LUSC, the immunotherapy effect was superior to that of patients with PD-L1<50%. Combining TMB≥10 and PD-L1≥50% as immunotherapy markers, in both LUAD and LUSC, resulted in a very favorable immunotherapy effect, with the overall response rate (ORR) reaching 100%.
We observed distinct mutation patterns and clinical factors between LUAD and LUSC, and noted that patients with TMB≥10 and PD-L1≥50% exhibited enhanced immunotherapy effects. Combining TMB≥10 and PD-L1≥50% proved to be a more effective predictor of immunotherapy efficacy.
肺癌是一种严重的恶性肿瘤。本研究旨在更全面地表征肺癌患者,并确定免疫治疗的联合标志物。
我们收集了新疆医科大学附属肿瘤医院166例肺癌患者的数据。对收集的样本使用一组与癌症相关的616个基因进行NGS测序。随后,进行数据分析以确定更适合肺癌免疫治疗的标志物。
在本研究中,肺腺癌中最常见的变异基因是TP53、EGFR、MST1、KMT2C、RBM10、LRP1B。同时,肺鳞癌样本中突变频率最高的基因是TP53、KMT2D、LRP1B、FAT1、MST1、KMT2C。肺腺癌和肺鳞癌之间的突变频率、肿瘤突变负荷(TMB)、PD-L1表达和突变等位基因肿瘤异质性(MATH)值有所不同,肺鳞癌的值高于肺腺癌。无论肺腺癌还是肺鳞癌,TMB≥10的患者与TMB<10的患者相比,免疫治疗效果更好。同样,当PD-L1≥50%时,无论在肺腺癌还是肺鳞癌中,免疫治疗效果均优于PD-L1<50%的患者。将TMB≥10和PD-L1≥50%作为免疫治疗标志物,在肺腺癌和肺鳞癌中均产生了非常良好的免疫治疗效果,总缓解率(ORR)达到100%。
我们观察到肺腺癌和肺鳞癌之间存在不同的突变模式和临床因素,并注意到TMB≥10和PD-L1≥50%的患者免疫治疗效果增强。事实证明,将TMB≥10和PD-L1≥50%结合起来是免疫治疗疗效更有效的预测指标。