Genomic signatures define three subtypes of EGFR-mutant stage II–III non-small-cell lung cancer with distinct adjuvant therapy outcomes

Author:

Liu Si-YangORCID,Bao HuaORCID,Wang Qun,Mao Wei-Min,Chen YedanORCID,Tong XiaolingORCID,Xu Song-TaoORCID,Wu Lin,Wei Yu-Cheng,Liu Yong-Yu,Chen Chun,Cheng YingORCID,Yin RongORCID,Yang FanORCID,Ren Sheng-Xiang,Li Xiao-Fei,Li Jian,Huang Cheng,Liu Zhi-Dong,Xu Shun,Chen Ke-Neng,Xu Shi-Dong,Liu Lun-XuORCID,Yu Ping,Wang Bu-HaiORCID,Ma Hai-Tao,Yan Hong-HongORCID,Dong Song,Zhang Xu-ChaoORCID,Su Jian,Yang Jin-Ji,Yang Xue-Ning,Zhou Qing,Wu XueORCID,Shao YangORCID,Zhong Wen-ZhaoORCID,Wu Yi-LongORCID

Abstract

AbstractThe ADJUVANT study reported the comparative superiority of adjuvant gefitinib over chemotherapy in disease-free survival of resected EGFR-mutant stage II–IIIA non-small cell lung cancer (NSCLC). However, not all patients experienced favorable clinical outcomes with tyrosine kinase inhibitors (TKI), raising the necessity for further biomarker assessment. In this work, by comprehensive genomic profiling of 171 tumor tissues from the ADJUVANT trial, five predictive biomarkers are identified (TP53 exon4/5 mutations, RB1 alterations, and copy number gains of NKX2-1, CDK4, and MYC). Then we integrate them into the Multiple-gene INdex to Evaluate the Relative benefit of Various Adjuvant therapies (MINERVA) score, which categorizes patients into three subgroups with relative disease-free survival and overall survival benefits from either adjuvant gefitinib or chemotherapy (Highly TKI-Preferable, TKI-Preferable, and Chemotherapy-Preferable groups). This study demonstrates that predictive genomic signatures could potentially stratify resected EGFR-mutant NSCLC patients and provide precise guidance towards future personalized adjuvant therapy.

Publisher

Springer Science and Business Media LLC

Subject

General Physics and Astronomy,General Biochemistry, Genetics and Molecular Biology,General Chemistry

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