Department of Thoracic Surgery, The Affiliated Hospital of Qingdao University, Qingdao, 266000, Shandong, China.
Qingdao Maternal & Child Health and Family Planning Service Center, Qingdao, 266000, Shandong, China.
Mol Med. 2021 Oct 7;27(1):126. doi: 10.1186/s10020-021-00387-z.
Immune checkpoint inhibitors (ICIs) have witnessed the achievements of convincing clinical benefits that feature the significantly prolonged overall survival (OS) of patients suffering from advanced non-small cell lung cancer (NSCLC), according to reports recently. Sensitivity to immunotherapy is related to several biomarkers, such as PD-L1 expression, TMB level, MSI-H and MMR. However, a further investigation into the novel biomarkers of the prognosis on ICIs treatment is required. In addition, there is an urgent demand for the establishment of a systematic hazard model to assess the efficacy of ICIs therapy for advanced NSCLC patients.
In this study, the gene mutation and clinical data of NSCLC patients was obtained from the TCGA database, followed by the analysis of the detailed clinical information and mutational data relating to two advanced NSCLC cohorts receiving the ICIs treatment from the cBioPortal of Cancer Genomics. The Kaplan-Meier plot method was used to perform survival analyses, while selected variables were adopted to develop a systematic nomogram. The prognostic significance of ERBB4 in pan-cancer was analyzed by another cohort from the cBioPortal of Cancer Genomics.
The mutation frequencies of TP53 and ERBB4 were 54% and 8% in NSCLC, respectively. The mutual exclusive analysis in cBioPortal has indicated that ERBB4 does show co-occurencing mutations with TP53. Patients with ERBB4 mutations were confirmed to have better prognosis for ICIs treatment, compared to those seeing ERBB4 wild type (PFS: exact p = 0.017; OS: exact p < 0.01) and only TP53 mutations (OS: p = 0.021). The mutation status of ERBB4 and TP53 was tightly linked to DCB of ICIs treatment, PD-L1 expression, TMB value, and TIICs. Finally, a novel nomogram was built to evaluate the efficacy of ICIs therapy.
ERBB4 mutations could serve as a predictive biomarker for the prognosis of ICIs treatment. The systematic nomogram was proven to have the great potential for evaluating the efficacy of ICIs therapy for advanced NSCLC patients.
最近的报道称,免疫检查点抑制剂(ICIs)在治疗晚期非小细胞肺癌(NSCLC)患者方面取得了令人信服的临床获益,显著延长了患者的总生存期(OS)。免疫治疗的敏感性与多种生物标志物相关,如 PD-L1 表达、TMB 水平、MSI-H 和 MMR。然而,需要进一步研究ICI 治疗的新型预后生物标志物。此外,迫切需要建立一个系统的危险模型来评估 ICIs 治疗晚期 NSCLC 患者的疗效。
本研究从 TCGA 数据库中获取 NSCLC 患者的基因突变和临床数据,然后从癌症基因组学的 cBioPortal 分析接受 ICI 治疗的两个晚期 NSCLC 队列的详细临床信息和突变数据。采用 Kaplan-Meier 绘图法进行生存分析,选择变量建立系统列线图。另一个来自癌症基因组学的 cBioPortal 队列分析了 ERBB4 在泛癌中的预后意义。
在 NSCLC 中,TP53 和 ERBB4 的突变频率分别为 54%和 8%。cBioPortal 中的互斥分析表明,ERBB4 确实与 TP53 存在共突变。与 ERBB4 野生型(PFS:确切 p=0.017;OS:确切 p<0.01)和仅 TP53 突变(OS:p=0.021)相比,ERBB4 突变患者接受 ICI 治疗的预后更好。ERBB4 和 TP53 的突变状态与 ICIs 治疗的 DCB、PD-L1 表达、TMB 值和 TIICs 紧密相关。最后,建立了一个新的列线图来评估 ICIs 治疗的疗效。
ERBB4 突变可作为 ICIs 治疗预后的预测生物标志物。系统列线图被证明具有评估 ICIs 治疗晚期 NSCLC 患者疗效的巨大潜力。