Li Yi, Gong Bingxin, Lou Jie, Guo Yusheng, Liang Bo, Liu Weiwei, You Ziang, Chen Chao, Chai Bin, Jiang Shanshan, Zhang Hongyong, Pan Feng, Yang Lian, Zhou Guofeng
Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Hubei Key Laboratory of Molecular Imaging, Wuhan, China.
Transl Lung Cancer Res. 2024 Jul 30;13(7):1544-1558. doi: 10.21037/tlcr-24-203. Epub 2024 Jul 22.
Although the thymus undergoes degeneration with the advancement of age, recent studies have continuously revealed that the thymus possesses the potential for regeneration and may reverse this aging trend. Furthermore, an increasing number of studies indicate an association between thymus function and immunotherapy. Considering that lung cancer patients typically undergo chest computed tomography (CT) scans during treatment, this provides convenient conditions for us to observe thymic remodeling through imaging data. Therefore, exploring the changes in the thymus on CT images is of great significance for understanding its relationship with the efficacy of immunotherapy in non-small cell lung cancer (NSCLC) patients. This study investigated the CT imaging characteristics of thymic density changes in patients with advanced NSCLC after immunotherapy. The primary objective was to determine whether changes in thymic density are predictors of response to immunotherapy in patients with NSCLC.
A total of 412 patients with advanced NSCLC who underwent immunotherapy were included. Thymic density measurements were taken initially and after immunotherapy, with the annualized change calculated. Comprehensive analysis, including disease progression, survival, and subgroup assessments, was conducted. The primary outcome was overall survival (OS), and the secondary outcomes were progression-free survival (PFS), objective response rate (ORR) and disease control rate (DCR).
The annual change in density of the thymic region ranged from -108 to 108 HU after the initiation of ICIs. Patients were categorized into "loss" or "non-loss" groups (210 202) based on thymic density changes. Analysis of short-term progression of solid tumors revealed no statistically significant differences in ORR (P=0.55) and DCR (P=0.67) between the two groups. Throughout the entire follow-up period, 41 patients (19.5%) in the "loss" group and 64 patients (31.7%) in the "non-loss" group died. Thymic density reduction was not associated with PFS (P=0.08), but it was positively associated with increased OS (P=0.003). The results were consistent across subgroups.
Thymic density changes were observed in nearly all NSCLC patients undergoing immunotherapy, with decreased density associated with longer OS. These findings suggest a potential association between thymic density changes and immune efficacy in NSCLC immunotherapy.
尽管胸腺会随着年龄增长而退化,但最近的研究不断表明,胸腺具有再生潜力,且可能逆转这种衰老趋势。此外,越来越多的研究表明胸腺功能与免疫治疗之间存在关联。鉴于肺癌患者在治疗期间通常会进行胸部计算机断层扫描(CT),这为我们通过影像数据观察胸腺重塑提供了便利条件。因此,探索CT图像上胸腺的变化对于理解其与非小细胞肺癌(NSCLC)患者免疫治疗疗效的关系具有重要意义。本研究调查了晚期NSCLC患者免疫治疗后胸腺密度变化的CT影像特征。主要目的是确定胸腺密度变化是否为NSCLC患者免疫治疗反应的预测指标。
共纳入412例接受免疫治疗的晚期NSCLC患者。在免疫治疗开始时及之后测量胸腺密度,并计算年化变化。进行了包括疾病进展、生存情况及亚组评估在内的综合分析。主要结局为总生存期(OS),次要结局为无进展生存期(PFS)、客观缓解率(ORR)和疾病控制率(DCR)。
免疫检查点抑制剂(ICIs)治疗开始后,胸腺区域密度的年化变化范围为-108至108 Hounsfield单位(HU)。根据胸腺密度变化,患者被分为“密度降低”组(210例)和“密度未降低”组(202例)。实体瘤短期进展分析显示,两组之间的ORR(P = 0.55)和DCR(P = 0.67)无统计学显著差异。在整个随访期间,“密度降低”组有41例患者(19.5%)死亡,“密度未降低”组有64例患者(31.7%)死亡。胸腺密度降低与PFS无关(P = 0.08),但与OS增加呈正相关(P = 0.003)。各亚组结果一致。
几乎所有接受免疫治疗的NSCLC患者均观察到胸腺密度变化,密度降低与更长的OS相关。这些发现提示胸腺密度变化与NSCLC免疫治疗中的免疫疗效之间可能存在关联。