Miao Chuanwang, Chen Yuanji, Zhang Hao, Zhao Wei, Wang Cunliang, Ma Zeliang, Zhu Shan, Hu Xudong
Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.
Department of Radiotherapy, Linyi Cancer Hospital, Linyi, China.
Transl Lung Cancer Res. 2024 Jun 30;13(6):1264-1276. doi: 10.21037/tlcr-24-109. Epub 2024 Jun 14.
Immune checkpoint inhibitor (ICI) has become pivotal in the treatment of advanced lung cancer, yet the absence of reliable biomarkers for assessing treatment response poses a significant challenge. This study aims to explore the predictive value of various lymphocyte subsets in different lung cancer subtypes, thus potentially identifying novel biomarkers to improve ICI treatment stratification and outcomes.
We conducted a retrospective analysis of 146 stage III or IV lung cancer patients undergoing ICI treatment. The study focused on exploring the relationship between various lymphocyte subsets and the efficacy of ICIs, aiming to determine their predictive value for post-treatment outcomes.
Subgroup analysis revealed a positive correlation (P=0.01) between lower CD3CD8 T lymphocyte levels and treatment response in squamous cell carcinoma patients. However, no significance was observed in lung adenocarcinoma patients. Additionally, the predictive ability of lymphocyte subsets for different immunotherapy drugs varies. In individuals receiving anti-programmed cell death ligand 1 (PD-L1) treatment, a lower CD3CD8 T lymphocyte levels is significantly associated with a positive treatment outcome (P=0.002), while there is no difference for programmed death 1 (PD-1) drugs. Among patients under 60, higher expression of CD3CD4 T lymphocytes (P=0.03) combined with lower CD3CD8 T lymphocyte levels (P=0.006) showed a statistically significant association with improved treatment response. However, in patients aged over 60, no discernible correlation was ascertained between lymphocyte subsets and therapeutic response. Through prognostic analysis, two distinct lymphocyte subsets were identified, both exerting considerable impact on progression-free survival subsequent to ICIs treatment: CD3CD4 T lymphocytes [hazard ratio (HR) =0.50, P=0.006] and CD3CD8 T lymphocytes (HR =1.78, P=0.02).
Our findings underscore the significant heterogeneity in the predictive value of distinct lymphocyte subsets for lung cancer patients undergoing ICI treatment. These findings are particularly salient when considering various pathological types, immunotherapeutic agents, and patient age groups.
免疫检查点抑制剂(ICI)已成为晚期肺癌治疗的关键,但缺乏可靠的生物标志物来评估治疗反应构成了重大挑战。本研究旨在探讨不同肺癌亚型中各种淋巴细胞亚群的预测价值,从而有可能识别新的生物标志物,以改善ICI治疗的分层和结果。
我们对146例接受ICI治疗的III期或IV期肺癌患者进行了回顾性分析。该研究重点探讨各种淋巴细胞亚群与ICI疗效之间的关系,旨在确定它们对治疗后结果的预测价值。
亚组分析显示,在鳞状细胞癌患者中,较低的CD3CD8 T淋巴细胞水平与治疗反应呈正相关(P = 0.01)。然而,在肺腺癌患者中未观察到显著相关性。此外,淋巴细胞亚群对不同免疫治疗药物的预测能力各不相同。在接受抗程序性细胞死亡配体1(PD-L1)治疗的个体中,较低的CD3CD8 T淋巴细胞水平与阳性治疗结果显著相关(P = 0.002),而对于程序性死亡1(PD-1)药物则无差异。在60岁以下的患者中,较高的CD3CD4 T淋巴细胞表达(P = 0.03)与较低的CD3CD8 T淋巴细胞水平(P = 0.006)相结合,显示出与改善的治疗反应具有统计学显著相关性。然而,在60岁以上的患者中,未确定淋巴细胞亚群与治疗反应之间有明显的相关性。通过预后分析,确定了两个不同的淋巴细胞亚群,它们对ICI治疗后的无进展生存期均有相当大的影响:CD3CD4 T淋巴细胞[风险比(HR)= 0.50,P = 0.006]和CD3CD8 T淋巴细胞(HR = 1.78,P = 0.02)。
我们的研究结果强调了不同淋巴细胞亚群对接受ICI治疗的肺癌患者预测价值的显著异质性。当考虑各种病理类型、免疫治疗药物和患者年龄组时,这些发现尤为突出。