表观遗传学
DNA甲基化
仿形(计算机编程)
腺癌
突变体
癌症研究
生物
肺癌
基因表达谱
病理
计算生物学
癌症
肿瘤科
内科学
医学
遗传学
基因
计算机科学
基因表达
操作系统
作者
Talal El Zarif,Catherine B. Meador,Xintao Qiu,Ji-Heui Seo,Matthew P. Davidsohn,Hunter Savignano,Gitanjali Lakshminarayanan,Heather M. McClure,John Canniff,Brad Fortunato,Rong Li,Mandeep K. Banwait,Karl Semaan,Marc Eid,Henry W. Long,Yin P. Hung,Navin R. Mahadevan,David A. Barbie,Matthew G. Oser,Zofia Piotrowska
标识
DOI:10.1158/1078-0432.ccr-24-0466
摘要
Abstract Purpose: Histologic transformation to small cell lung cancer (SCLC) is a mechanism of treatment resistance in patients with advanced oncogene-driven lung adenocarcinoma (LUAD) that currently requires histologic review for diagnosis. Herein, we sought to develop an epigenomic cell-free DNA (cfDNA)-based approach to noninvasively detect small cell transformation in patients with EGFR mutant (EGFRm) LUAD. Experimental Design: To characterize the epigenomic landscape of transformed (t)SCLC relative to LUAD and de novo SCLC, we performed chromatin immunoprecipitation sequencing (ChIP-seq) to profile the histone modifications H3K27ac, H3K4me3, and H3K27me3; methylated DNA immunoprecipitation sequencing (MeDIP-seq); assay for transposase-accessible chromatin sequencing; and RNA sequencing on 26 lung cancer patient-derived xenograft (PDX) tumors. We then generated and analyzed H3K27ac ChIP-seq, MeDIP-seq, and whole genome sequencing cfDNA data from 1 mL aliquots of plasma from patients with EGFRm LUAD with or without tSCLC. Results: Analysis of 126 epigenomic libraries from the lung cancer PDXs revealed widespread epigenomic reprogramming between LUAD and tSCLC, with a large number of differential H3K27ac (n = 24,424), DNA methylation (n = 3,298), and chromatin accessibility (n = 16,352) sites between the two histologies. Tumor-informed analysis of each of these three epigenomic features in cfDNA resulted in accurate noninvasive discrimination between patients with EGFRm LUAD versus tSCLC [area under the receiver operating characteristic curve (AUROC) = 0.82–0.87]. A multianalyte cfDNA-based classifier integrating these three epigenomic features discriminated between EGFRm LUAD versus tSCLC with an AUROC of 0.94. Conclusions: These data demonstrate the feasibility of detecting small cell transformation in patients with EGFRm LUAD through epigenomic cfDNA profiling of 1 mL of patient plasma.
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