Dataset Information

DNA methylation of microRNA-coding genes in non-small-cell lung cancer patients.

ABSTRACT: Deregulated DNA methylation leading to transcriptional inactivation of certain genes occurs frequently in non-small-cell lung cancers (NSCLCs). As well as protein-coding genes, microRNA (miRNA)-coding genes may be targets for methylation in NSCLCs; however, the number of known methylated miRNA genes is still small. Thus, we investigated methylation of miRNA genes in primary tumour (TU) samples and corresponding non-malignant lung tissue (NL) samples of 50 NSCLC patients by using methylated DNA immunoprecipitation followed by custom-designed tiling microarray analyses (MeDIP-chip), and 252 differentially methylated probes between TU samples and NL samples were identified. These probes were annotated, which resulted in the identification of 34 miRNA genes with increased methylation in TU samples. Some of these miRNA genes were already known to be methylated in NSCLCs (e.g. those encoding miR-9-3 and miR-124), but methylation of the vast majority of them was previously unknown. We selected six miRNA genes (those encoding miR-10b, miR-1179, miR-137, miR-572, miR-3150b, and miR-129-2) for gene-specific methylation analyses in TU samples and corresponding NL samples of 104 NSCLC patients, and observed a statistically significant increase in methylation of these genes in TU samples (p?

SUBMITTER: Heller G

PROVIDER: S-EPMC6055722 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature

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DNA methylation of microRNA-coding genes in non-small-cell lung cancer patients.

Heller Gerwin G Altenberger Corinna C Steiner Irene I Topakian Thais T Ziegler Barbara B Tomasich Erwin E Lang György G End-Pfützenreuter Adelheid A Zehetmayer Sonja S Döme Balazs B Arns Britt-Madeleine BM Klepetko Walter W Zielinski Christoph C CC Zöchbauer-Müller Sabine S

The Journal of pathology 20180620 4

Deregulated DNA methylation leading to transcriptional inactivation of certain genes occurs frequently in non-small-cell lung cancers (NSCLCs). As well as protein-coding genes, microRNA (miRNA)-coding genes may be targets for methylation in NSCLCs; however, the number of known methylated miRNA genes is still small. Thus, we investigated methylation of miRNA genes in primary tumour (TU) samples and corresponding non-malignant lung tissue (NL) samples of 50 NSCLC patients by using methylated DNA i ...[more]

PMID: 29570800

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Project description:BackgroundDNA methylation (5-mC) signals in cell-free DNA (cfDNA) of cancer patients represent promising biomarkers for minimally invasive tumor detection. The high abundance of cancer-associated 5-mC alterations permits parallel and highly sensitive assessment of multiple 5-mC biomarkers. Here, we performed genome-wide 5-mC profiling in the plasma of metastatic ALK-rearranged non-small cell lung cancer (NSCLC) patients receiving tyrosine kinase inhibitor therapy. We established a strategy to identify ALK-specific 5-mC changes from cfDNA and demonstrated the suitability of the identified markers for cancer detection, prognosis, and therapy monitoring.MethodsLongitudinal plasma samples (n = 79) of 21 ALK-positive NSCLC patients and 13 healthy donors were collected alongside 15 ALK-positive tumor tissue and 10 healthy lung tissue specimens. All plasma and tissue samples were analyzed by cell-free DNA methylation immunoprecipitation sequencing to generate genome-wide 5-mC profiles. Information on genomic alterations (i.e., somatic mutations/fusions and copy number alterations) determined in matched plasma samples was available from previous studies.ResultsWe devised a strategy that identified tumor-specific 5-mC biomarkers by reducing 5-mC background signals derived from hematopoietic cells. This was followed by differential methylation analysis (cases vs. controls) and biomarker validation using 5-mC profiles of ALK-positive tumor tissues. The resulting 245 differentially methylated regions were enriched for lung adenocarcinoma-specific 5-mC patterns in TCGA data and indicated transcriptional repression of several genes described to be silenced in NSCLC (e.g., PCDH10, TBX2, CDO1, and HOXA9). Additionally, 5-mC-based tumor DNA (5-mC score) was highly correlated with other genomic alterations in cell-free DNA (Spearman, ρ > 0.6), while samples with high 5-mC scores showed significantly shorter overall survival (log-rank p = 0.025). Longitudinal 5-mC scores reflected radiologic disease assessments and were significantly elevated at disease progression compared to the therapy start (p = 0.0023). In 7 out of 8 instances, rising 5-mC scores preceded imaging-based evaluation of disease progression.ConclusionWe demonstrated a strategy to identify 5-mC biomarkers from the plasma of cancer patients and integrated them into a quantitative measure of cancer-associated 5-mC alterations. Using longitudinal plasma samples of ALK-positive NSCLC patients, we highlighted the suitability of cfDNA methylation for prognosis and therapy monitoring.

Dataset Information

DNA methylation of microRNA-coding genes in non-small-cell lung cancer patients.

Publications

DNA methylation of microRNA-coding genes in non-small-cell lung cancer patients.

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