Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Front Immunol. 2021 Nov 18;12:745769. doi: 10.3389/fimmu.2021.745769. eCollection 2021.
Tumor necrosis factor (TNF) family members participate in the body's antitumor immunity response and influence tumor prognosis and treatment response. However, little is known about the roles of TNF family members in small cell lung cancer (SCLC). Therefore, we conducted the first comprehensive investigation of TNF family members in patients with SCLC, with the goal of using them to predict prognosis and chemotherapy benefit. Abnormal genetic alterations and expression of TNF family members were found to be widespread in SCLC patients. Using LASSO Cox regression analysis, we constructed a TNF family-based signature that separated SCLC patients in the training set (n=77) into high- and low-risk groups with distinct survival and chemotherapy benefit, and the signature was well-validated in the validation set (n=137) by RT-qPCR. Importantly, the signature exhibited superior predictive performance and was identified as a novel independent prognostic factor. Additionally, different immune phenotypes were found between the low-risk and high-risk groups, and high-risk patients had higher CMTM6 expression, suggesting that these patients could benefit from therapeutic methods targeting CMTM6. We constructed the first clinically applicable TNF family-based signature for predicting prognosis and chemotherapy benefit for patients with SCLC. The findings reported here provide a new method for predicting the prognosis of SCLC patients and optimizing clinical management.
肿瘤坏死因子(TNF)家族成员参与机体抗肿瘤免疫反应,并影响肿瘤预后和治疗反应。然而,关于 TNF 家族成员在小细胞肺癌(SCLC)中的作用知之甚少。因此,我们首次对 SCLC 患者的 TNF 家族成员进行了全面研究,旨在利用它们来预测预后和化疗获益。TNF 家族成员的异常遗传改变和表达在 SCLC 患者中广泛存在。使用 LASSO Cox 回归分析,我们构建了一个基于 TNF 家族的signature,可将训练集(n=77)中的 SCLC 患者分为具有明显生存和化疗获益的高风险和低风险组,该 signature 通过 RT-qPCR 在验证集(n=137)中得到了很好的验证。重要的是,该 signature 表现出优越的预测性能,并被确定为一种新的独立预后因素。此外,低风险和高风险组之间存在不同的免疫表型,高风险组患者的 CMTM6 表达较高,表明这些患者可能受益于针对 CMTM6 的治疗方法。我们构建了第一个用于预测 SCLC 患者预后和化疗获益的临床适用的基于 TNF 家族的 signature。本研究结果为预测 SCLC 患者的预后和优化临床管理提供了一种新方法。