Chromosomal Copy Number Variation Predicts EGFR-TKI Response and Prognosis for Patients with Non-Small Cell Lung Cancer.

IF 1.8 4区 医学 Q3 PHARMACOLOGY & PHARMACY Pharmacogenomics & Personalized Medicine Pub Date : 2023-09-13 eCollection Date: 2023-01-01 DOI:10.2147/PGPM.S418320
Haiyan He, Hang Ma, Zhuo Chen, Jingliang Chen, Dandan Wu, Xuedong Lv, Jie Zhu
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Abstract

Purpose: Chromosomal abnormalities represent genomic signatures linked to cancer prognosis and responses to chemotherapy, immunotherapy, and drug resistance. This study aimed to investigate the impact of chromosome copy number variants (CNVs) on the efficacy of tyrosine kinase inhibitors (TKIs) in EGFR-mutated non-small cell lung cancer (NSCLC) patients, as well as its prognostic implications for progression-free survival (PFS) and overall survival (OS) in EGFR wild-type patients.

Methods: A total of 110 patients with advanced NSCLC were enrolled in this study and categorized into EGFR-mutated and wild-type groups. Utilizing next-generation sequencing (NGS) technology, we assessed 24 genes and chromosome CNVs associated with lung cancer pathways in patients' tissue samples.

Results: Within the EGFR-mutated group, patients with a gain in Chr 1p13.3-p13.1 exhibited poor TKI responses, a high relapse rate, and shortened PFS (P = 0.002). Conversely, EGFR-mutated patients with a gain in 14q31.1-q31.3 demonstrated favorable TKI responses and relatively extended PFS (P = 0.005). Among EGFR wild-type patients, the presence of 7q31.1-q31.31 CNV emerged as an independent factor influencing both PFS and OS (P = 0.013, P = 0.004). Notably, patients with a gain in 7q31.1-q31.31 exhibited prolonged PFS and OS. Additionally, independent prognostic significance for OS in EGFR wild-type patients was observed for CNVs in 9q21.31-q22.2 and 11p11.11-q12.1 regions (P = 0.001). Patients with gains in these regions experienced extended OS, while losses were predictive of poorer outcomes.

Conclusion: Our results suggested that chromosomal copy number variation is a practical indicator for predicting the response of EGFR-targeted therapy and prognosis for NSCLC patients.

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染色体拷贝数变异预测非小细胞肺癌癌症患者的EGFR-TKI反应和预后。
目的:染色体异常代表与癌症预后和对化疗、免疫疗法和耐药性的反应相关的基因组特征。本研究旨在研究染色体拷贝数变异(CNVs)对EGFR突变的非小细胞肺癌癌症(NSCLC)患者酪氨酸激酶抑制剂(TKI)疗效的影响,以及其对EGFR野生型患者无进展生存期(PFS)和总生存期(OS)的预后影响。方法:本研究共纳入110例晚期NSCLC患者,分为EGFR突变组和野生型组。利用下一代测序(NGS)技术,我们评估了患者组织样本中与肺癌癌症途径相关的24个基因和染色体CNVs。结果:在EGFR突变组中,Chr 1p13-3-13.1增加的患者表现出较差的TKI反应、高复发率和缩短的PFS(P=0.002)。相反,EGFR突变患者14q31.1-q31.3增加的患者显示出良好的TKI响应和相对延长的PFS(P=0.005)。在EGFR野生型患者中,7q31.1-q31.31 CNV的存在是影响PFS和OS的独立因素(P=0.013,P=0.004)。值得注意的是,7q31.1-q31.31增加的患者表现出PFS和OS延长。此外,在9q21.31-q22.2和11p11.11-q12.1区域的CNVs中,观察到EGFR野生型患者OS的独立预后意义(P=0.001)。在这些区域增加的患者OS延长,而减少的患者预后较差。结论:染色体拷贝数变异是预测EGFR靶向治疗效果和NSCLC患者预后的实用指标。
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来源期刊
Pharmacogenomics & Personalized Medicine
Pharmacogenomics & Personalized Medicine Biochemistry, Genetics and Molecular Biology-Molecular Medicine
CiteScore
3.30
自引率
5.30%
发文量
110
审稿时长
16 weeks
期刊介绍: Pharmacogenomics and Personalized Medicine is an international, peer-reviewed, open-access journal characterizing the influence of genotype on pharmacology leading to the development of personalized treatment programs and individualized drug selection for improved safety, efficacy and sustainability. In particular, emphasis will be given to: Genomic and proteomic profiling Genetics and drug metabolism Targeted drug identification and discovery Optimizing drug selection & dosage based on patient''s genetic profile Drug related morbidity & mortality intervention Advanced disease screening and targeted therapeutic intervention Genetic based vaccine development Patient satisfaction and preference Health economic evaluations Practical and organizational issues in the development and implementation of personalized medicine programs.
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