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Circulating tumor cells with increasing aneuploidy predict inferior prognosis and therapeutic resistance in small cell lung cancer

肺癌 非整倍体 医学 肿瘤科 内科学 癌症研究 生物 遗传学 基因 染色体
作者
Zhongpeng Xie,Yanxia Wang,Ting-Fei 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,Kejing Tang,Zunfu Ke
出处
期刊:Drug Resistance Updates [Elsevier]
卷期号:76: 101117-101117 被引量:1
标识
DOI:10.1016/j.drup.2024.101117
摘要

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