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Novel liquid biopsy CNV biomarkers in malignant melanoma.
Lukacova, E; Hanzlikova, Z; Podlesnyi, P; Sedlackova, T; Szemes, T; Grendar, M; Samec, M; Hurtova, T; Malicherova, B; Leskova, K; Budis, J; Burjanivova, T.
Afiliación
  • Lukacova E; Department of Molecular Biology and Genomics, Comenius University in Bratislava, Jessenius Faculty of Medicine in Martin (JFM CU), Martin, Slovakia.
  • Hanzlikova Z; Geneton Ltd., Bratislava, Slovakia.
  • Podlesnyi P; Instituto de Investigaciones Biomedicas de Barcelona (IIBB), CSIC /Centro Investigacion Biomedica en Red Enfermedades Neurodegenerativas (CiberNed), Barcelona, Spain.
  • Sedlackova T; Geneton Ltd., Bratislava, Slovakia.
  • Szemes T; Science Park, Comenius University in Bratislava, Bratislava, Slovakia.
  • Grendar M; Geneton Ltd., Bratislava, Slovakia.
  • Samec M; Science Park, Comenius University in Bratislava, Bratislava, Slovakia.
  • Hurtova T; Laboratory of Bioinformatics and Biostatistics, Biomedical Center Martin, Comenius University in Bratislava, Jessenius Faculty of Medicine in Martin (JFM CU), Martin, Slovakia.
  • Malicherova B; Department of Medical Biology, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Martin, Slovakia.
  • Leskova K; Department of Dermatovenereology, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Martin, Slovakia.
  • Budis J; Department of Clinical Biochemistry, University Hospital in Martin and Jessenius Faculty of Medicine, Comenius University, Martin, Slovakia.
  • Burjanivova T; Department of Pathological Anatomy, Jessenius Faculty of Medicine and University Hospital in Martin, Comenius University, Martin, Slovakia.
Sci Rep ; 14(1): 15786, 2024 07 09.
Article en En | MEDLINE | ID: mdl-38982214
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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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Biomarcadores de Tumor / Variaciones en el Número de Copia de ADN / Melanoma Límite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Sci Rep Año: 2024 Tipo del documento: Article País de afiliación: Eslovaquia

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Biomarcadores de Tumor / Variaciones en el Número de Copia de ADN / Melanoma Límite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Sci Rep Año: 2024 Tipo del documento: Article País de afiliación: Eslovaquia