Temozolomide in the Era of Precision Medicine

Anish Thomas1, Mamoru Tanaka2, Jane Trepel2

  • 1Developmental Therapeutics Branch and Laboratory of Molecular Pharmacology, Center for Cancer Research, NCI, Bethesda, Maryland. anish.thomas@nih.gov pommier@nih.gov.

Cancer Research
|February 5, 2017
PubMed

Insights

DNA repair capacity assays predict cancer response to temozolomide. Genomic signatures, including MGMT and mismatch repair (MMR) status, can approximate functional readouts for treatment sensitivity.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genetics

Background:

  • Temozolomide is a chemotherapy agent primarily used for glioblastoma.
  • Predicting patient response to temozolomide remains a challenge.
  • Assays determining cancer DNA repair capacity can inform treatment efficacy.

Purpose of the Study:

  • To evaluate the utility of DNA repair capacity assays in predicting temozolomide response.
  • To explore the applicability of drug response models from cell lines to patient-derived xenografts.
  • To discuss the potential for broader application of temozolomide based on molecular mechanisms.

Main Methods:

  • Utilized a fluorescence-based multiplex flow cytometric host cell reactivation assay.
  • Assessed simultaneous DNA repair capacity across multiple pathways.
  • Developed multivariate drug response models using cell line and patient-derived xenograft data.

Main Results:

  • Multivariate drug response models derived from cell lines were applicable to glioblastoma xenografts.
  • MGMT activity and mismatch repair (MMR) status are key determinants of temozolomide sensitivity.
  • Current DNA methylation assays for MGMT do not accurately reflect MGMT expression.

Conclusions:

  • Functional DNA repair assays are valuable for predicting temozolomide response.
  • Genomic signatures, such as MGMT and MMR status, can serve as proxies for functional readouts.
  • Revisiting temozolomide use in a wider range of cancers is warranted based on its molecular activity and expression patterns.

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