Leveraging metabolomics to assess the next generation of temozolomide-based therapeutic approaches for glioblastomas

Genomics Proteomics Bioinformatics. 2013 Aug;11(4):199-206. doi: 10.1016/j.gpb.2013.04.003. Epub 2013 Jun 1.

Abstract

Glioblastoma multiforme (GBM) is the most common adult primary tumor of the central nervous system. The current standard of care for glioblastoma patients involves a combination of surgery, radiotherapy and chemotherapy with the alkylating agent temozolomide. Several mechanisms underlying the inherent and acquired temozolomide resistance have been identified and contribute to treatment failure. Early identification of temozolomide-resistant GBM patients and improvement of the therapeutic strategies available to treat this malignancy are of uttermost importance. This review initially looks at the molecular pathways underlying GBM formation and development with a particular emphasis placed on recent therapeutic advances made in the field. Our focus will next be directed toward the molecular mechanisms modulating temozolomide resistance in GBM patients and the strategies envisioned to circumvent this resistance. Finally, we highlight the diagnostic and prognostic value of metabolomics in cancers and assess its potential usefulness in improving the current standard of care for GBM patients.

Keywords: Cancer diagnosis; Cancer therapeutics; Glioblastoma multiforme; Signaling cascades; Temozolomide.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Animals
  • Antineoplastic Agents, Alkylating / therapeutic use*
  • Dacarbazine / analogs & derivatives*
  • Dacarbazine / therapeutic use
  • Drug Resistance, Neoplasm
  • Glioblastoma / drug therapy*
  • Humans
  • Metabolomics / methods*
  • Prognosis
  • Temozolomide

Substances

  • Antineoplastic Agents, Alkylating
  • Dacarbazine
  • Temozolomide