高级检索
当前位置: 首页 > 详情页

Early on-treatment tumor growth rate (EOT-TGR) determines treatment outcomes of advanced non-small-cell lung cancer patients treated with programmed cell death protein 1 axis inhibitor

文献详情

资源类型:
WOS体系:
Pubmed体系:

收录情况: ◇ SCIE

机构: [1]State Key Laboratory of Oncology in South China, Guangzhou [2]Collaborative Innovation Center for Cancer Medicine, Guangzhou [3]Department of Medical Oncology,Sun Yat-sen University Cancer Center, Guangzhou [4]Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation of Sun Yat-SenUniversity Department of Cellular & Molecular Diagnostics Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou [5]Department of Oncology, theSecond Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou [6]Guangdong Provincial KeyLaboratory of Clinical Research on Traditional Chinese Medicine Syndrome, Guangzhou [7]Department of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China [8]Department of Nuclear Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China [9]Department of Endoscopy, Sun Yat-sen University Cancer Center, Guangzhou, China [10]Department of VIPRegion, Sun Yat-sen University Cancer Center, Guangzhou, China [11]Department of Clinical Research, Sun Yat-sen University Cancer Center, Guangzhou, China
出处:
ISSN:

关键词: tumor growth rate non-small-cell lung cancer immunotherapy biomarker prognosis

摘要:
Tumor growth rate (TGR), denoted as percentage change in tumor size per month, is a well-established indicator of tumor growth kinetics. The predictive value of early on-treatment TGR (EOT-TGR) for immunotherapy remains unclear. We sought to establish and validate the association of EOT-TGR with treatment outcomes in patients with advanced non-small-cell lung cancer (aNSCLC) undergoing anti-PD-1/PD-L1 (programmed cell death protein 1/programmed death-ligand 1) therapy.This bicenter retrospective cohort study included a training cohort, a contemporaneously treated internal validation cohort, and an external validation cohort. Computed tomography images were retrieved to calculate EOT-TGR, denoted as tumor burden change per month during a period between baseline and the first imaging evaluation after immunotherapy. Kaplan-Meier methodology and Cox regression analysis were conducted for survival analyses.In the pooled cohort (n = 172), 125 patients (72.7%) were males; median age at diagnosis was 58 (range 28-79) years. Based on the training cohort, we determined the optimal cut-off value for EOT-TGR as 10.4%/month. Higher EOT-TGR was significantly associated with inferior overall survival [OS; hazard ratio (HR) 2.93, 95% confidence interval (CI) 1.47-5.83; P = 0.002], worse progression-free survival (PFS; HR 2.44, 95% CI 1.46-4.08; P = 0.001), and lower objective response rate (3.3% versus 20.9%; P = 0.040) and durable clinical benefit rate (6.7% versus 41.9%; P = 0.001). Results were reproducible in the two validation cohorts for OS and PFS. Among 43 patients who had a best response of progressive disease in the training cohort, those with high EOT-TGR had worse OS (HR 2.64; P = 0.041) and were more likely to progress due to target lesions at the first tumor evaluation (85.2% versus 0.0%; P <0.001).Higher EOT-TGR was associated with inferior OS and immunotherapeutic response in patients with aNSCLC undergoing anti-PD-1/PD-L1 therapy. This easy-to-calculate radiologic biomarker may help evaluate the abilities of immunotherapy to prolong survival and assist in tailoring patients' management.ClinicalTrials.govNCT04722406; https://clinicaltrials.gov/ct2/show/NCT04722406.Copyright © 2022 The Authors. Published by Elsevier Ltd.. All rights reserved.

基金:
语种:
WOS:
PubmedID:
中科院(CAS)分区:
出版当年[2021]版:
大类 | 3 区 医学
小类 | 3 区 肿瘤学
最新[2025]版:
大类 | 1 区 医学
小类 | 2 区 肿瘤学
JCR分区:
出版当年[2020]版:
Q1 ONCOLOGY
最新[2023]版:
Q1 ONCOLOGY

影响因子: 最新[2023版] 最新五年平均 出版当年[2020版] 出版当年五年平均 出版前一年[2019版] 出版后一年[2021版]

第一作者:
第一作者机构: [1]State Key Laboratory of Oncology in South China, Guangzhou [2]Collaborative Innovation Center for Cancer Medicine, Guangzhou [3]Department of Medical Oncology,Sun Yat-sen University Cancer Center, Guangzhou
共同第一作者:
通讯作者:
通讯机构: [1]State Key Laboratory of Oncology in South China, Guangzhou [2]Collaborative Innovation Center for Cancer Medicine, Guangzhou [3]Department of Medical Oncology,Sun Yat-sen University Cancer Center, Guangzhou [5]Department of Oncology, theSecond Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou [6]Guangdong Provincial KeyLaboratory of Clinical Research on Traditional Chinese Medicine Syndrome, Guangzhou [*1]Department of Medical Oncology, Sun Yat-sen University Cancer Center, 651 Dongfeng East Road, Guangzhou, Guangdong 510060, People’s Republic of China. [*2]Department of Oncology, the Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Provincial Hospital of Chinese Medicine, 111 Dade Road, Guangzhou, Guangdong 510120, People’s Republic of China
推荐引用方式(GB/T 7714):
APA:
MLA:

资源点击量:2022 今日访问量:0 总访问量:648 更新日期:2024-07-01 建议使用谷歌、火狐浏览器 常见问题

版权所有©2020 广东省中医院 技术支持:重庆聚合科技有限公司 地址:广州市越秀区大德路111号