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Novel liquid biopsy CNV biomarkers in malignant melanoma. | LitMetric

Novel liquid biopsy CNV biomarkers in malignant melanoma.

Sci Rep

Department of Molecular Biology and Genomics, Comenius University in Bratislava, Jessenius Faculty of Medicine in Martin (JFM CU), Martin, Slovakia.

Published: July 2024

AI Article Synopsis

  • Malignant melanoma (MM) has numerous genetic changes and a quick spread, making it important to find new plasma biomarkers for easier diagnosis and monitoring.
  • The study investigated copy number variations (CNVs) in CDK genes and other specific genes through various genetic analyses, but found that CDK genes were not significant as biomarkers in plasma samples of MM patients compared to healthy individuals.
  • Despite the lack of significance for CDK genes, the analysis did identify common CNV regions in the genome, suggesting that the gene DIP2C could be promising for further research in liquid biopsy applications.

Article Abstract

Malignant melanoma (MM) is known for its abundance of genetic alterations and a tendency for rapid metastasizing. Identification of novel plasma biomarkers may enhance non-invasive diagnostics and disease monitoring. Initially, we examined copy number variations (CNV) in CDK genes (CDKN2A, CDKN2B, CDK4) using MLPA (gDNA) and ddPCR (ctDNA) analysis. Subsequently, low-coverage whole genome sequencing (lcWGS) was used to identify the most common CNV in plasma samples, followed by ddPCR verification of chosen biomarkers. CNV alterations in CDK genes were identified in 33.3% of FFPE samples (Clark IV, V only). Detection of the same genes in MM plasma showed no significance, neither compared to healthy plasmas nor between pre- versus post-surgery plasma. Sequencing data showed the most common CNV occurring in 6q27, 4p16.1, 10p15.3, 10q22.3, 13q34, 18q23, 20q11.21-q13.12 and 22q13.33. CNV in four chosen genes (KIF25, E2F1, DIP2C and TFG) were verified by ddPCR using 2 models of interpretation. Model 1 was concordant with lcWGS results in 54% of samples, for model 2 it was 46%. Although CDK genes have not been proven to be suitable CNV liquid biopsy biomarkers, lcWGS defined the most frequently affected chromosomal regions by CNV. Among chosen genes, DIP2C demonstrated a potential for further analysis.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11233564PMC
http://dx.doi.org/10.1038/s41598-024-65928-yDOI Listing

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