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High frequency of K‐ras mutations in normal appearing lung tissues and sputum of patients with lung cancer

  • Marina S. Yakubovskaya
  • , Vladimir Spiegelman
  • , Feng C. Luo
  • , Serge Malaev
  • , Alexander Salnev
  • , Irina Zborovskaya
  • , Alexander Gasparyan
  • , Boris Polotsky
  • , Zurab Machaladze
  • , Alexander C. Trachtenberg
  • , Gennady A. Belitsky
  • , Zeev Ronai

Research output: Contribution to journalArticlepeer-review

Abstract

To evaluate the possible use of mutant ras as a biomarker for lung cancer, we have analyzed “normal appearing” lung tissue, lung tumor, lung metastases and sputum samples from patients with non‐small cell lung cancer (NSCLC). As a control, we used lung tissue and sputum samples from patients without oncological diseases or lung disorders. Our analyses were performed with the aid of enriched PCR (EPCR), a method which enables detection of ras mutation even if present at low incidence. EPCR identified K‐ras codon 12 mutations in 10% of lung tissues obtained from patients with no lung diseases, whereas the same mutation was detected in 60% of samples of normal appearing lung tissues obtained from patients with NSCLC, 62% of NSCLC tumors and 80% of metastases. Analysis of sputum samples of patients with NSCLC identified 47% to harbor mutant ras allele, whereas 12.5% of controls diagnosed with non‐oncological lung diseases carried this mutation. Most of these mutations were detected with the aid of EPCR only, indicating that a minority of cells in a given sample harbor this mutation. The ability to detect K‐ras codon 12 mutation in 60% of lung tissue samples and in 47% of sputum samples taken from patients with lung cancer (as compared with 10% and 12.5% of respective controls) points to the potential use of ras mutation as a biomarker for exposure and possible identification of patients who may be at a higher risk of developing lung cancer. © 1995 Wiley‐Liss, Inc.

Original languageEnglish (US)
Pages (from-to)810-814
Number of pages5
JournalInternational Journal of Cancer
Volume63
Issue number6
DOIs
StatePublished - Dec 11 1995

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

  • Oncology
  • Cancer Research

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