Department of Radiation Oncology, Huadong Hospital, Fudan University, Shanghai 200433, P.R. China.
Department of Medical Oncology, Shanghai Pulmonary Hospital and Thoracic Cancer Institute, Tongji University School of Medicine, Shanghai 200433, P.R. China.
Aging (Albany NY). 2023 Aug 18;15(16):8204-8219. doi: 10.18632/aging.204964.
Immune checkpoint inhibitors (ICIs) have become the standard treatment for advanced non-small cell lung cancer (NSCLC). ICIs can provide durable responses and prolong survival for some patients. With the increasing routine of next-generation sequencing (NGS) in clinical practice, it is essential to integrate prognostic factors to establish novel nomograms to improve clinical prediction ability in NSCLC with ICIs treatment.
Clinical information, response data, and genome data of advanced NSCLC treated ICIs were obtained from cBioPortal. The top 20 gene alterations in durable clinical benefit (DCB) were compared with those genes in no durable benefit (NDB). Survival analyses were performed using the Kaplan-Meier plot method and selected clinical variables to develop a novel nomogram.
The mutation of PTPRD was significantly related to progression free survival (PFS) and overall survival (OS) in advanced NSCLC with ICIs treatment (PFS: p = 0.0441, OS: p = 0.0086). The PTPRD mutation was closely related to tumor mutational burden (TMB) and tumor-infiltrating immune cells (TIICs). Two novel nomograms were built to predict the PFS and OS of advanced NSCLC patients with ICIs treatment.
Our study suggested that PTPRD mutations could serve as a predictive biomarker for the sensitivity to ICIs treatment and PFS and OS in advanced NSCLC with ICIs. Our systematic nomograms showed great potential value in clinical application to predict the PFS and OS for advanced NSCLC patients with ICIs.
免疫检查点抑制剂(ICIs)已成为晚期非小细胞肺癌(NSCLC)的标准治疗方法。ICI 可为一些患者提供持久的反应并延长生存时间。随着下一代测序(NGS)在临床实践中的常规应用,整合预后因素建立新的列线图以提高 NSCLC 患者接受 ICI 治疗的临床预测能力至关重要。
从 cBioPortal 获取接受 ICI 治疗的晚期 NSCLC 的临床信息、反应数据和基因组数据。将具有持久临床获益(DCB)的前 20 个基因改变与无持久获益(NDB)的基因进行比较。使用 Kaplan-Meier 绘图方法和选定的临床变量进行生存分析,以开发新的列线图。
PTPRD 突变与晚期 NSCLC 患者接受 ICI 治疗后的无进展生存期(PFS)和总生存期(OS)显著相关(PFS:p = 0.0441,OS:p = 0.0086)。PTPRD 突变与肿瘤突变负担(TMB)和肿瘤浸润免疫细胞(TIICs)密切相关。建立了两个新的列线图来预测晚期 NSCLC 患者接受 ICI 治疗的 PFS 和 OS。
我们的研究表明,PTPRD 突变可以作为预测对 ICI 治疗敏感性以及晚期 NSCLC 患者接受 ICI 治疗后的 PFS 和 OS 的生物标志物。我们的系统列线图在预测晚期 NSCLC 患者接受 ICI 治疗的 PFS 和 OS 方面具有很大的临床应用潜力。