The Role of RARalpha Coregulators in Resistance to Vitamin A and Synthetic Retinoids

Abstract

Retinoids, analogs of Vitamin A, inhibit breast cancer cell proliferation through receptors in the super-family of nuclear transcriptional factors. 9-cis retinoic acid (9-cis-RA) is a retinoid pan agonist that activates both RAR and RXR isoforms. N-(4-hydroxyphenyl) retinamide (4-HPR) has unclear receptor selectivity, but shows promising clinical activity. No established in vitro model, however, has been developed to study the problem of acquired retinoid resistance for breast cancer patients. We established an in vitro model by generating two stable retinoid resistant cell lines, MCF-7/LCC20(sup 4-HPR) and MCF-7/LCC21(sup 9-cis-RA). They were generated through selection of an estrogen independent MCF-7 variant (LCC1) against increasing concentrations of 4-HPR and 9-cis-RA. MCF-7/LCC20(sup 4-HPR) is stably resistant to the drug 4-HPR and shows cross-resistance to 9-cis-RA. However, MCF-7/LCC21(sup 9-cis-RA) maintains its resistance to 9-cis-RA but exhibits no cross-resistance to 4-HPR. RAR alpha, RXR beta, and RAR gamma RNA expression in these retinoid resistant cell lines are unaltered with respect to the parental cells, and there is a 50% reduction in the RXR alpha expression of LCC21(sup 9-cis-RA from the parental cell line. RAR beta appears not to be present in parental or resistant cell lines. Several genes have been identified with cDNA microarrays to identify molecular pathways, and the data from the arrays should help identify genes that contribute to the acquired resistance to retinoids in breast cancer cells and should develop neural network classifiers.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2001
Accession Number
ADA400081

Entities

People

  • Richard Y. Lee

Organizations

  • Georgetown University

Tags

Communities of Interest

  • Air Platforms
  • Autonomy

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Breast Cancer
  • Cancer
  • Cell Line
  • Cells
  • Chemical Reactions
  • Chemistry
  • Dna Microarrays
  • Gene Expression
  • Neoplasms
  • Neural Networks
  • Polymerase Chain Reaction
  • Predictive Modeling
  • Proteins
  • Resistance
  • Three Dimensional

Fields of Study

  • Biology

Readers

  • Breast cancer cell signaling and growth regulation.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference