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Expression of a multidrug resistance gene in human cancers

L J Goldstein1, H Galski, A Fojo

  • 1Division of Cancer Biology and Diagnosis, National Cancer Institute, Bethesda, MD 20892.

Insights

The human MDR1 gene, encoding P-glycoprotein, is often elevated in drug-resistant cancers, both intrinsic and acquired. Measuring MDR1 RNA levels can help identify resistant tumors and guide chemotherapy protocols.

Area of Science:

  • Oncology
  • Molecular Biology
  • Pharmacology

Background:

  • Chemotherapy is effective for many cancers, but intrinsic or acquired drug resistance remains a significant challenge.
  • The human MDR1 gene (PGY1) encodes P-glycoprotein, a key mediator of multidrug resistance.
  • Measuring MDR1 RNA levels offers a potential method to assess drug resistance in various cancers.

Purpose of the Study:

  • To quantify MDR1 RNA levels in over 400 human cancers.
  • To investigate the association between MDR1 expression and intrinsic or acquired drug resistance.
  • To evaluate the utility of MDR1 gene expression analysis in clinical oncology.

Main Methods:

  • Cloning of the human MDR1 gene cDNA.
  • Quantification of MDR1 RNA levels in a large cohort of human cancers.
  • Analysis of MDR1 RNA levels in relation to cancer type, intrinsic resistance, and acquired resistance post-chemotherapy.

Main Results:

  • Elevated MDR1 RNA levels were frequently observed in intrinsically drug-resistant tumors (e.g., colon, kidney, liver, pancreas, NSCLC).
  • Increased MDR1 RNA was also noted in certain untreated leukemias and lymphomas, and in cancers relapsing after chemotherapy (e.g., ALL, ANLL, breast cancer).
  • Many drug-sensitive cancers, including NSCLC and melanoma, showed low or undetectable MDR1 RNA levels.

Conclusions:

  • MDR1 gene expression is consistently associated with intrinsic multidrug resistance in human cancers.
  • Increased MDR1 expression correlates with acquired drug resistance following chemotherapy.
  • Evaluation of MDR1 gene expression may aid in identifying resistant cancers and optimizing chemotherapeutic strategies.

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