肺癌
抗体-药物偶联物
生物标志物
转录组
多路复用
蛋白质基因组学
蛋白质组学
癌症研究
计算生物学
一致性
靶向治疗
癌症
生物
肿瘤科
抗体
医学
单克隆抗体
生物信息学
免疫学
内科学
基因表达
基因
遗传学
作者
Edwin Lin,Ying‐Chun Lo,Vivek Subbiah,Rajat Thawani,Aakash Desai
标识
DOI:10.1186/s40164-025-00685-w
摘要
Abstract Antibody-drug conjugates (ADCs) represent a promising therapeutic strategy for non-small cell lung cancer (NSCLC), targeting tumor-specific antigens with precision. However, the molecular heterogeneity of NSCLC necessitates multiplex biomarker approaches to optimize ADC efficacy. This study utilized transcriptomics and proteomics to characterize NSCLC subtypes with distinct ADC target expression profiles. RNA-seq data from two independent cohorts (537 tumors, 59 controls; 338 tumors, 311 controls) identified clusters defined by overexpression of CEACAM5, MET, and TACSTD2, while normal lung tissue exhibited moderate TACSTD2 and FOLR1 expression. Chi-squared residual analysis revealed no significant associations with disease stage or driver mutations. Proteomic and transcriptomic data from 110 tumors and 101 controls demonstrated strong concordance. These findings highlight the potential of ADCs to target NSCLC subsets with distinct proteogenomic profiles, independent of disease stage or mutational status, underscoring their broad applicability in precision oncology.
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