Prognostic Value of Telomere DNA Content in Invasive Breast Cancer

Abstract

Telomeres, which are specialized protein-nucleic acid complexes that protect the ends of chromosomes, are shortened each time a cell divides. Although the mechanisms that drive cancer initiation and progression are not known, genomic instability occurs in most tumors and is correlated with shortened telomeres. The loss of growth control in tumor cells results in excessive telomere shortening and, by extension, phenotypic variability. We hypothesized, therefore, that very short telomeres would facilitate progression to a metastatic phenotype and, therefore, that telomere DNA content (TC), a proxy for telomere length, would predict clinical outcome in breast cancer. Patient histories and tissues were obtained from the New Mexico Tumor Registry. TC was measured in 38 breast tumors and 38 paired specimens of tumor-associated, histologically-normal stroma. In tumor tissues, Kaplan-Meier analysis demonstrated that reduced TC was associated with disease recurrence or death and that high TC was associated with disease-free survival (p=O.00l). Unexpectedly, there was a similar association between TC and clinical outcome in the tumor-associated stroma (p.0.OOl). These findings show that TC in both breast tumors and tumor-associated, normal stroma predicts clinical outcome. This implies that telomere length is a characteristic of the cells' microenvironment, rather than a consequence of tumors' proliferation.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2002
Accession Number
ADA407547

Entities

People

  • Jeffrey K. Griffith

Organizations

  • University of New Mexico

Tags

DTIC Thesaurus Topics

  • Alkanes
  • Biochemistry
  • Breast Cancer
  • Cells
  • Chromosome Structures
  • Chromosomes
  • Data Analysis
  • Diseases And Disorders
  • Genetics
  • Genomic Instability
  • Instability
  • Neoplasms
  • New Mexico
  • Prostate Cancer
  • Statistical Analysis
  • Surgery
  • Survival

Fields of Study

  • Biology

Readers

  • Atmospheric Science/Meteorology
  • Molecular and genetic basis of cancer.
  • Oncology and Biomarker-Based Cancer Detection.

Technology Areas

  • Biotechnology