非整倍性增加的循环肿瘤细胞可预测小细胞肺癌的不良预后和耐药性

IF 15.8 1区 医学 Q1 PHARMACOLOGY & PHARMACY Drug Resistance Updates Pub Date : 2024-07-02 DOI:10.1016/j.drup.2024.101117
Zhongpeng Xie , Yanxia Wang , Tingfei Chen , Wei Fan , Lihong Wei , Bixia Liu , Xiaohua Situ , Qinru Zhan , Tongze Fu , Tian Tian , Shuhua Li , Qiong He , Jianwen Zhou , Huipin Wang , Juan Du , Hsian-Rong Tseng , Yiyan Lei , Ke-Jing Tang , Zunfu Ke
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引用次数: 0

摘要

目的小细胞肺癌(SCLC)通常会出现耐药性,因此需要开发新的有效生物标志物来动态评估疗效。本研究旨在评估非整倍体循环肿瘤细胞(CTCs)在风险分层和治疗反应监测方面的临床实用性。研究方法:从两个独立的癌症中心共招募了126名SCLC患者(两个队列)作为研究对象。收集这些患者的血样并检测非整倍体 CTC。非整倍体 CTC 计数(ACC)和非整倍体 CTC 评分(ACS)用于预测无进展生存期(PFS)和总生存期(OS)。结果与 ACC 相比,ACS 对这 126 例患者的无进展生存期(PFS)和总生存期(OS)的预测能力更强。此外,单变量和多变量分析均显示 ACS 是一个独立的预后因素。ACS 的动态变化反映了治疗反应,比 ACC 的变化更精确。ACS 可用于评估化疗耐药性,比放射学检查更敏感(中位准备时间为 2.8 个月;P < 0.001)。结论ACS可作为一种生物标志物,用于SCLC患者的风险分层、治疗反应监测和个体化治疗干预。
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Circulating tumor cells with increasing aneuploidy predict inferior prognosis and therapeutic resistance in small cell lung cancer

Aims

Treatment resistance commonly emerges in small cell lung cancer (SCLC), necessitating the development of novel and effective biomarkers to dynamically assess therapeutic efficacy. This study aims to evaluate the clinical utility of aneuploid circulating tumor cells (CTCs) for risk stratification and treatment response monitoring.

Methods

A total of 126 SCLC patients (two cohorts) from two independent cancer centers were recruited as the study subjects. Blood samples were collected from these patients and aneuploid CTCs were detected. Aneuploid CTC count (ACC) and aneuploid CTC score (ACS), were used to predict progression-free survival (PFS) and overall survival (OS). The performance of the ACC and the ACS was evaluated by calculating the area under the receiver operating characteristic (ROC) curve (AUC).

Results

Compared to ACC, ACS exhibited superior predictive power for PFS and OS in these 126 patients. Moreover, both univariate and multivariate analyses revealed that ACS was an independent prognostic factor. Dynamic ACS changes reflected treatment response, which is more precise than ACC changes. ACS can be used to assess chemotherapy resistance and is more sensitive than radiological examination (with a median lead time of 2.8 months; P < 0.001). When patients had high ACS levels (> 1.115) at baseline, the combination of immunotherapy and chemotherapy resulted in longer PFS (median PFS, 7.7 months; P = 0.007) and OS (median OS, 16.3 months; P = 0.033) than chemotherapy alone (median PFS, 4.9 months; median OS, 13.6 months).

Conclusions

ACS could be used as a biomarker for risk stratification, treatment response monitoring, and individualized therapeutic intervention in SCLC patients.

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来源期刊
Drug Resistance Updates
Drug Resistance Updates 医学-药学
CiteScore
26.20
自引率
11.90%
发文量
32
审稿时长
29 days
期刊介绍: Drug Resistance Updates serves as a platform for publishing original research, commentary, and expert reviews on significant advancements in drug resistance related to infectious diseases and cancer. It encompasses diverse disciplines such as molecular biology, biochemistry, cell biology, pharmacology, microbiology, preclinical therapeutics, oncology, and clinical medicine. The journal addresses both basic research and clinical aspects of drug resistance, providing insights into novel drugs and strategies to overcome resistance. Original research articles are welcomed, and review articles are authored by leaders in the field by invitation. Articles are written by leaders in the field, in response to an invitation from the Editors, and are peer-reviewed prior to publication. Articles are clear, readable, and up-to-date, suitable for a multidisciplinary readership and include schematic diagrams and other illustrations conveying the major points of the article. The goal is to highlight recent areas of growth and put them in perspective. *Expert reviews in clinical and basic drug resistance research in oncology and infectious disease *Describes emerging technologies and therapies, particularly those that overcome drug resistance *Emphasises common themes in microbial and cancer research
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