Detecting Small Cell Transformation in Patients with Advanced <i>EGFR</i> Mutant Lung Adenocarcinoma through Epigenomic cfDNA Profiling

Talal El Zarif(Yale University), Catherine B. Meador(Harvard University), Xintao Qiu(Yale University), Ji-Heui Seo(Dana-Farber Cancer Institute), Matthew P. Davidsohn(Dana-Farber Cancer Institute), Hunter Savignano(Dana-Farber Cancer Institute), Gitanjali Lakshminarayanan(Dana-Farber Cancer Institute), Heather M. McClure(Dana-Farber Cancer Institute), John Canniff(Dana-Farber Cancer Institute), Brad Fortunato(Dana-Farber Cancer Institute), Rong Li(Dana-Farber Cancer Institute), Mandeep K. Banwait(Harvard University), Karl Semaan(Broad Institute), Marc Eid(Dana-Farber Cancer Institute), Henry W. Long(Dana-Farber Cancer Institute), Yin P. Hung(Harvard University), Navin R. Mahadevan(Brigham and Women's Hospital), David A. Barbie(Dana-Farber Cancer Institute), Matthew G. Oser(Dana-Farber Cancer Institute), Zofia Piotrowska(Harvard University), Toni K. Choueiri(Dana-Farber Cancer Institute), Sylvan C. Baca(Broad Institute), Aaron N. Hata(Harvard University), Matthew L. Freedman(Broad Institute), Jacob E. Berchuck(Dana-Farber Cancer Institute)
Clinical Cancer Research
June 24, 2024
Cited by 30Open Access
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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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