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Detecting small cell transformation in patients with advanced EGFR mutant lung adenocarcinoma through epigenomic cfDNA profiling.
El Zarif, Talal; Meador, Catherine B; Qiu, Xintao; Seo, Ji-Heui; Davidsohn, Matthew P; Savignano, Hunter; Lakshminarayanan, Gitanjali; McClure, Heather M; Canniff, John; Fortunato, Brad; Li, Rong; Banwait, Mandeep K; Semaan, Karl; Eid, Marc; Long, Henry; Hung, Yin P; Mahadevan, Navin R; Barbie, David A; Oser, Matthew G; Piotrowska, Zofia; Choueiri, Toni K; Baca, Sylvan C; Hata, Aaron N; Freedman, Matthew L; Berchuck, Jacob E.
Affiliation
  • El Zarif T; Dana-Farber Cancer Institute, Boston, MA, United States.
  • Meador CB; Massachusetts General Hospital/Harvard Medical School, Boston, United States.
  • Qiu X; Dana-Farber Cancer Institute, Boston, MA, United States.
  • Seo JH; Dana-Farber Cancer Institute, BOSTON, Massachusetts, United States.
  • Davidsohn MP; Dana-Farber Cancer Institute, Boston, MA, United States.
  • Savignano H; Dana-Farber Cancer Institute, Boston, MA, United States.
  • Lakshminarayanan G; Dana-Farber Cancer Institute, Boston, Massachussetts, United States.
  • McClure HM; Dana-Farber Cancer Institute, Boston, MA, United States.
  • Canniff J; Dana-Farber Cancer Institute, Boston, MA, United States.
  • Fortunato B; Dana-Farber Cancer Institute, Boston, MA, United States.
  • Li R; Dana-Farber Cancer Institute, Boston, MA, United States.
  • Banwait MK; Massachusetts General Hospital, Boston, Massachusetts, United States.
  • Semaan K; Dana-Farber Cancer Institute, Boston, MA, United States.
  • Eid M; Dana-Farber Cancer Institute, Boston, MA, United States.
  • Long H; Dana-Farber Cancer Institute, Boston, MA, United States.
  • Hung YP; Massachusetts General Hospital, Boston, United States.
  • Mahadevan NR; Dana-Farber Cancer Institute, Boston, MA, United States.
  • Barbie DA; Dana-Farber Cancer Institute, Boston, MA, United States.
  • Oser MG; Dana-Farber Cancer Institute, Boston, MA, United States.
  • Piotrowska Z; Massachusetts General Hospital, Boston, Massachusetts, United States.
  • Choueiri TK; The Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA, United States.
  • Baca SC; Hungarian Academy of Sciences, Boston, United States.
  • Hata AN; Massachusetts General Hospital, Charlestown, MA, United States.
  • Freedman ML; Dana-Farber Cancer Institute, Boston, MA, United States.
  • Berchuck JE; Dana-Farber Cancer Institute, Boston, MA, United States.
Clin Cancer Res ; 2024 Jun 24.
Article in En | MEDLINE | ID: mdl-38912901
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 (cf)DNA-based approach to non-invasively 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 (ATAC-seq), 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 non-invasive discrimination between patients with EGFRm LUAD versus tSCLC (AUROC=0.82-0.87). A multi-analyte 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.

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Clin Cancer Res Year: 2024 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Clin Cancer Res Year: 2024 Document type: Article