D-Loop Mutations as Prognostic Markers in Glioblastoma-A Pilot Study

Int J Mol Sci. 2024 Apr 14;25(8):4334. doi: 10.3390/ijms25084334.

Abstract

Glioblastoma, a highly aggressive brain tumor, poses significant treatment challenges. A deeper investigation into its molecular complexity is essential for the identification of novel prognostic biomarkers and therapeutic strategies, potentially improving patient outcomes in terms of survival and quality of life. While nuclear DNA mutations have been extensively studied, the role of mitochondrial DNA (mtDNA) mutations, specifically in the D-loop region, remains poorly understood. This prospective case-control study aimed to assess the prognostic significance of the mtDNA D-loop m.16126T>C variant in glioblastoma patients. Immunohistochemistry and droplet digital PCR (ddPCR) were employed for mutation analysis, complemented by statistical analyses and a literature review. The study cohort comprised 22 glioblastoma patients (mean age 59.36 ± 14.17, 12 (54.55%) females), and 25 controls (59.48 ± 13.22, 12 (80%) females). The D-loop m.16126T>C variant was observed in four (18%) of the glioblastoma samples and was associated with shorter median survival (9.5 vs. 18 months; p = 0.016, log-rank test). This study underscores the importance of investigating mtDNA, especially D-loop variants, in glioblastoma, suggesting its potential as a prognostic biomarker and, therefore, its possible therapeutic targets, warranting further exploration.

Keywords: D-loop m.16126T>C; D-loop variants; biomarkers; glioblastoma; mitochondrial DNA; prognosis.

MeSH terms

  • Adult
  • Aged
  • Biomarkers, Tumor* / genetics
  • Brain Neoplasms* / genetics
  • Brain Neoplasms* / mortality
  • Brain Neoplasms* / pathology
  • Case-Control Studies
  • DNA, Mitochondrial* / genetics
  • Female
  • Glioblastoma* / genetics
  • Glioblastoma* / mortality
  • Glioblastoma* / pathology
  • Humans
  • Male
  • Middle Aged
  • Mutation*
  • Pilot Projects
  • Prognosis
  • Prospective Studies

Substances

  • DNA, Mitochondrial
  • Biomarkers, Tumor