Obesity and survival in advanced non-small cell lung cancer patients treated with chemotherapy, immunotherapy, or chemoimmunotherapy: a multicenter cohort study.

IF 7 1区 医学 Q1 MEDICINE, GENERAL & INTERNAL BMC Medicine Pub Date : 2024-10-14 DOI:10.1186/s12916-024-03688-2
Wei Nie, Jun Lu, Jie Qian, Shu-Yuan Wang, Lei Cheng, Liang Zheng, Guang-Yu Tao, Xue-Yan Zhang, Tian-Qing Chu, Bao-Hui Han, Hua Zhong
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Abstract

Background: The association of body mass index (BMI) with survival outcomes in patients with advanced non-small cell lung cancer (NSCLC) treated with first-line chemotherapy, immunotherapy, or chemoimmunotherapy is controversial. We aimed to investigate these associations, including associations in male and female patients specifically, in a multicenter cohort study.

Methods: We retrospectively analyzed data from seven cohorts comprising 7021 advanced non-small cell lung cancer patients who received chemotherapy (three cohorts), immunotherapy (two cohorts), and chemoimmunotherapy (two cohorts) from five data sources, including a de-identified nationwide (US-based) NSCLC clinico-genomic database and two randomized, double-blind, phase 3 clinical trials. BMI was categorized as underweight, normal weight, overweight, or obese. Underweight patients were excluded because of their small proportion. The primary endpoints were the associations between BMI and progression-free survival (PFS) and overall survival (OS) stratified by treatment type and sex, which were assessed using Kaplan-Meier methods and adjusted Cox modeling. Meta-analyses were performed to combine the adjusted hazard ratios.

Results: In the pooled analysis, obesity was significantly associated with improved OS in patients receiving chemotherapy (hazard ratios [HR] = 0.84, 95% confidence interval (CI) 0.76-0.93), but there was no association with PFS (HR = 0.91, 95% CI 0.82-1.02). The association of BMI with OS for patients receiving chemotherapy differed by sex, with an inverse association in men (HR = 0.74, 95% CI 0.64-0.84), but no association observed in women (HR = 0.96, 95% CI 0.81-1.13, Pinteraction = 0.018). No impact of BMI on OS or PFS was detected in patients receiving immunotherapy or chemoimmunotherapy. Obese patients had the lowest level of tumor mutational burden, similar level of programmed death-ligand 1 expression and ESTIMATE scores.

Conclusions: Obesity may be associated with an increased overall survival among male patients treated with chemotherapy, whereas not associated with the outcomes in patients treated with immunotherapy or chemoimmunotherapy.

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接受化疗、免疫疗法或化学免疫疗法治疗的晚期非小细胞肺癌患者的肥胖与生存率:一项多中心队列研究。
背景:在接受一线化疗、免疫治疗或化疗免疫治疗的晚期非小细胞肺癌(NSCLC)患者中,体重指数(BMI)与生存结果的关系存在争议。我们旨在通过一项多中心队列研究调查这些关联,包括男性和女性患者的具体关联:我们回顾性分析了由 7021 名晚期非小细胞肺癌患者组成的七个队列的数据,这些患者接受了化疗(三个队列)、免疫治疗(两个队列)和化疗免疫治疗(两个队列),这些数据来自五个数据源,包括一个去标识化的全国(美国)NSCLC 临床基因组数据库和两个随机、双盲、3 期临床试验。体重指数分为体重不足、正常体重、超重或肥胖。由于体重不足的患者比例较小,因此将其排除在外。主要终点是BMI与无进展生存期(PFS)和总生存期(OS)之间的关系,按治疗类型和性别进行分层,采用Kaplan-Meier方法和调整后的Cox模型进行评估。对调整后的危险比进行了元分析:在汇总分析中,肥胖与化疗患者OS的改善显著相关(危险比[HR] = 0.84,95%置信区间(CI)0.76-0.93),但与PFS没有关系(HR = 0.91,95% CI 0.82-1.02)。在接受化疗的患者中,BMI与OS的关系因性别而异,男性呈反向关系(HR = 0.74,95% CI 0.64-0.84),女性则没有关系(HR = 0.96,95% CI 0.81-1.13,Pinteraction = 0.018)。在接受免疫疗法或化学免疫疗法的患者中,未发现体重指数对OS或PFS有影响。肥胖患者的肿瘤突变负荷水平最低,程序性死亡配体1表达水平和ESTIMATE评分相似:结论:肥胖可能与男性化疗患者总生存期的延长有关,但与免疫疗法或化学免疫疗法患者的疗效无关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
BMC Medicine
BMC Medicine 医学-医学:内科
CiteScore
13.10
自引率
1.10%
发文量
435
审稿时长
4-8 weeks
期刊介绍: BMC Medicine is an open access, transparent peer-reviewed general medical journal. It is the flagship journal of the BMC series and publishes outstanding and influential research in various areas including clinical practice, translational medicine, medical and health advances, public health, global health, policy, and general topics of interest to the biomedical and sociomedical professional communities. In addition to research articles, the journal also publishes stimulating debates, reviews, unique forum articles, and concise tutorials. All articles published in BMC Medicine are included in various databases such as Biological Abstracts, BIOSIS, CAS, Citebase, Current contents, DOAJ, Embase, MEDLINE, PubMed, Science Citation Index Expanded, OAIster, SCImago, Scopus, SOCOLAR, and Zetoc.
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