4.7 Article

Cell-free chromatin immunoprecipitation can determine tumor gene expression in lung cancer patients

Journal

MOLECULAR ONCOLOGY
Volume 17, Issue 5, Pages 722-736

Publisher

WILEY
DOI: 10.1002/1878-0261.13394

Keywords

cell-free ChIP; epigenetics; gene expression; liquid biopsy; non-small-cell lung cancer; small-cell lung cancer

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Cell-free chromatin immunoprecipitation (cfChIP) of H3K36me3-modified nucleosomes in blood plasma can be used to determine tumor gene expression levels. In this study, cfChIP-seq was performed on blood plasma samples from lung cancer patients and healthy controls. The results showed increased enrichment of mutated alleles in plasma from patients with somatic cancer mutations, and concordant H3K36me3 cfChIP enrichment profiles in different lung cancer types. These findings demonstrate the utility of cfDNA in liquid biopsies for characterizing cancer and predicting disease progression.
Cell-free DNA (cfDNA) in blood plasma can be bound to nucleosomes that contain post-translational modifications representing the epigenetic profile of the cell of origin. This includes histone H3 lysine 36 trimethylation (H3K36me3), a marker of active transcription. We hypothesised that cell-free chromatin immunoprecipitation (cfChIP) of H3K36me3-modified nucleosomes present in blood plasma can delineate tumour gene expression levels. H3K36me3 cfChIP followed by targeted NGS (cfChIP-seq) was performed on blood plasma samples from non-small-cell lung cancer (NSCLC) patients (NSCLC, n = 8), small-cell lung cancer (SCLC) patients (SCLC, n = 4) and healthy controls (n = 4). H3K36me3 cfChIP-seq demonstrated increased enrichment of mutated alleles compared with normal alleles in plasma from patients with known somatic cancer mutations. Additionally, genes identified to be differentially expressed in SCLC and NSCLC tumours had concordant H3K36me3 cfChIP enrichment profiles in NSCLC (sensitivity = 0.80) and SCLC blood plasma (sensitivity = 0.86). Findings here expand the utility of cfDNA in liquid biopsies to characterise treatment resistance, cancer subtyping and disease progression.

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