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The genomic landscape of young and old lung cancer patients highlights age‐dependent mutation frequencies and clinical actionability in young patients

CDKN2A 克拉斯 ROS1型 腺癌 肺癌 医学 肿瘤科 内科学 年轻人 外显子 肺腺癌 癌症 癌症研究 遗传学 生物 基因 结直肠癌
作者
Lei Cai,Yong Chen,Xiaoling Tong,Xue Wu,Hua Bao,Yang Shao,Zhuang Luo,Xuming Wang,Yang Cao
出处
期刊:International Journal of Cancer [Wiley]
卷期号:149 (4): 883-892 被引量:33
标识
DOI:10.1002/ijc.33583
摘要

The aim of the study was to investigate age-dependent tendency of genomic alterations in lung cancer, and also to examine mutational profiles and its association with clinical treatment outcomes in young adenocarcinoma patients. By studying 7858 lung cancer samples using targeted-gene sequencing, we investigated genomic differences and clinical on-treatment time (OTT) to different therapies between young (≤ 45 years) and old (> 45 years) patients. The age-dependent trend test for genomic alterations in all patients revealed steady increases in tumor mutation burden and alterations in a number of genes with age, including KRAS, MET, CDKN2A, PIK3CA and MDM2, while the frequencies of ALK, ROS1 and RET fusions and ERBB2 mutations were decreasing. The highest rate of EGFR alterations was observed in the 45 ~ 50 years age group. Comparisons of young and old adenocarcinoma patients found that young patients were characterized by a higher prevalence of ALK, ROS1 and RET fusions, and ERBB2 exon-20 insertions and EGFR exon-19 deletions. Actionable mutations were highly prevalent in young adenocarcinoma patients, with 88% of patients harboring at least one actionable genetic alteration. First-line therapies in EGFR-positive patients (n = 979) by EGFR tyrosine kinase inhibitors or chemotherapy resulted in similar OTT between young and old patients. Somatic interaction analyses implied that young EGFR-positive patients were more likely to also have PIK3CA, MET, TP53 and RB1 mutations than old patients. Lung cancer in young patients, and especially those with adenocarcinoma, exhibited different clinical features and genomic attributes compared to old patients, which should be considered for therapeutic decision-making purposes.
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