Detection of Ki-ras gene point mutations in bile specimens for the differential diagnosis of malignant and benign biliary strictures

Gut. 2000 Sep;47(3):357-61. doi: 10.1136/gut.47.3.357.

Abstract

Background and aim: The present study was undertaken to determine if detection of Ki-ras gene point mutations in bile specimens could differentiate between benign and malignant biliary strictures.

Patients: Bile specimens were obtained from 117 patients exhibiting a stricture of the main bile duct, the nature of which was assessed by cholangiography, histology, and follow up.

Methods: DNA from frozen bile specimens was extracted, amplified, and tested for codon 12 point mutations of Ki-ras gene using sequence specific oligonucleotide hybridisation and mutant allele specific amplification.

Results: DNA amplification was successful in 110/117 bile specimens (94%). Detection of Ki-ras gene mutations in bile specimens was positive in 24.4% (22/90) of patients with malignant strictures, in 31.4% (22/70) when only primary malignant tumours were considered, and in 4% (1/25) of patients with benign strictures. Of the 49 patients with histological specimens obtained before surgery, the sensitivity of histology, Ki-ras mutation analysis, and combined methods was 59.2%, 28.6%, and 73.5% respectively.

Conclusions: Our study showed that Ki-ras mutations may be detected in about one third of bile specimens from patients with primary tumours invading the main bile duct. Detection of such mutations appears to be specific and may help to differentiate between benign and malignant biliary strictures.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Bile
  • Bile Duct Neoplasms / diagnosis
  • Bile Duct Neoplasms / genetics*
  • Cholestasis, Extrahepatic / diagnosis
  • Cholestasis, Extrahepatic / genetics*
  • DNA / analysis
  • Diagnosis, Differential
  • Genes, ras / genetics*
  • Humans
  • Oligonucleotide Array Sequence Analysis
  • Point Mutation / genetics*
  • Polymerase Chain Reaction / methods
  • Predictive Value of Tests
  • Sensitivity and Specificity

Substances

  • DNA