cfDNA methylome profiling for detection and subtyping of small cell lung cancers.
Francesca ChemiSimon P PearceAlexandra ClipsonSteven M HillAlicia-Marie ConwaySophie Alice RichardsonKatarzyna KamienieckaRebecca CaeserDaniel J WhiteSumitra MohanVictoria FoyKathryn L SimpsonMelanie GalvinKristopher K FreseLynsey PriestJacklynn EggerAlastair R W KerrPierre P MassionJohn T PoirierGerard BradyFiona BlackhallDominic G RothwellCharles M RudinCaroline DivePublished in: Nature cancer (2022)
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.
Keyphrases
- genome wide
- dna methylation
- single cell
- transcription factor
- rna seq
- sensitive detection
- small cell lung cancer
- gene expression
- copy number
- end stage renal disease
- ultrasound guided
- newly diagnosed
- electronic health record
- prognostic factors
- chronic kidney disease
- mouse model
- poor prognosis
- loop mediated isothermal amplification
- ionic liquid
- dna binding
- ejection fraction
- quantum dots
- long non coding rna
- label free
- deep learning
- young adults
- mesenchymal stem cells
- real time pcr