| Literature DB >> 35941262 |
Francesca Chemi1, Simon P Pearce2, Alexandra Clipson1, Steven M Hill2, Alicia-Marie Conway1,3, Sophie A Richardson1, Katarzyna Kamieniecka2, Rebecca Caeser4, Daniel J White1, Sumitra Mohan1, Victoria Foy1,3, Kathryn L Simpson5, Melanie Galvin5, Kristopher K Frese5, Lynsey Priest6, Jacklynn Egger4, Alastair Kerr2, Pierre P Massion7, John T Poirier8, Gerard Brady1, Fiona Blackhall3,6, Dominic G Rothwell9, Charles M Rudin10, Caroline Dive11,12,13.
Abstract
Small cell lung cancer (SCLC) is characterized by morphologic, epigenetic and transcriptomic heterogeneity. Subtypes based upon predominant transcription factor expression have been defined that, in mouse models and cell lines, exhibit potential differential therapeutic vulnerabilities, with epigenetically distinct SCLC subtypes also described. The clinical relevance of these subtypes is unclear, due in part to challenges in obtaining tumor biopsies for reliable profiling. Here we describe a robust workflow for genome-wide DNA methylation profiling applied to both patient-derived models and to patients' circulating cell-free DNA (cfDNA). Tumor-specific methylation patterns were readily detected in cfDNA samples from patients with SCLC and were correlated with survival outcomes. cfDNA methylation also discriminated between the transcription factor SCLC subtypes, a precedent for a liquid biopsy cfDNA-methylation approach to molecularly subtype SCLC. Our data reveal the potential clinical utility of cfDNA methylation profiling as a universally applicable liquid biopsy approach for the sensitive detection, monitoring and molecular subtyping of patients with SCLC.Entities:
Year: 2022 PMID: 35941262 PMCID: PMC9586870 DOI: 10.1038/s43018-022-00415-9
Source DB: PubMed Journal: Nat Cancer ISSN: 2662-1347