Molecular features that predict the response to antimetabolite chemotherapies

Mahya Mehrmohamadi1,2,3,4, Seong Ho Jeong4, Jason W Locasale1,2,3

  • 1Duke Cancer Institute, Duke University School of Medicine, Durham, NC 27710 USA.

Cancer & Metabolism
|October 14, 2017
PubMed
Abstract

Insights

This study reveals that metabolic pathways targeted by chemotherapy drugs like 5-FU and Gemcitabine are specifically linked to patient treatment response, challenging the idea of non-specific cytotoxic effects.

Area of Science:

  • Oncology
  • Molecular Biology
  • Computational Biology

Background:

  • Antimetabolite chemotherapies targeting cellular metabolism are standard cancer treatments.
  • Patient responses to these therapies vary significantly, with underlying reasons largely unknown.

Purpose of the Study:

  • To develop a computational method for identifying gene expression signatures related to chemotherapy response.
  • To investigate the determinants of sensitivity to 17 antimetabolite agents.

Main Methods:

  • A novel computational approach was used to identify gene expression signatures.
  • Analysis was performed on human tumors and cancer cell lines.
  • Seventeen antimetabolite agents were characterized across various contexts.

Main Results:

  • Distinct gene expression signatures associated with favorable and unfavorable responses to 5-fluorouracil (5-FU) and Gemcitabine were identified.
  • Metabolic pathways directly targeted by these antimetabolites showed specific enrichment in their respective expression signatures.
  • Evidence suggests that antimetabolite drugs do not solely rely on non-specific cytotoxic mechanisms.

Conclusions:

  • Unbiased analyses indicate that the activity of specific metabolic pathways plays a significant role in therapeutic response to antimetabolite chemotherapy.
  • This finding supports a more targeted understanding of chemotherapy efficacy and patient heterogeneity.

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