Prognostic value of P53 gene mutations in a large series of node-negative breast cancer patients.

The most important subgroup of breast cancer patients for which reliable prognostic factors are needed are women without axillary lymph node involvement. Although overall, these patients have a good prognosis, it is known that 20-30% will experience a recurrence of the disease. To determine the prognostic significance of P53 tumor suppressor gene mutation, specimens from 113 primary breast cancers were evaluated for the presence of P53 alterations, as detected by cDNA sequencing of the entire coding sequence of the gene. The median follow-up for patients was 105 months. P53 gene mutation was an independent prognostic marker of early relapse and death. Our results suggest that P53 gene mutations could be an important factor to identify node-negative patients who have a poor prognosis in the absence of adjuvant therapy. Prospective studies should be designed to determine which therapy should be performed in this subgroup of patients.

Enzymatic mutation detection in the P53 gene.

BACKGROUND: The enzymatic mutation detection (EMD) assay uses the bacteriophage resolvase T4 endonuclease VII, which cleaves preformed heteroduplex molecules at mismatch sites, forming two shorter fragments that can be resolved by gel electrophoresis. The method can be used to detect single and multiple base changes, as well as insertions and deletions. METHODS: The sensitivity, specificity, and positional accuracy of mutation detection by EMD with the PASSPORT(TM) Mutation Scanning Kit were assessed in a blind fashion for three analytical platforms (radioactive detection and automated laser sequencers ALFexpress and ABI PRISM 377). PCR products of 703 bp covering codons 188-393 of the P53 gene were prepared from colorectal tumor samples and analyzed by EMD; the results were compared to data from cDNA sequencing. A 1362-bp PCR product prepared from IL4r gene was used to test detection of multiple base changes in long PCR products. RESULTS: The sensitivity for detection of mutations using EMD exceeded 90%, and the specificity exceeded 80% on all analysis platforms. The method localized 90% of mutations to within two codons and four codons for automated laser sequencers and detection by radioactivity, respectively. The method detected at least five mismatches in heteroduplexes >1 kb. CONCLUSIONS: The EMD system facilitates efficient detection of genetic variation in fragments exceeding 1 kb irrespective of location and type. The technology is particularly well suited to the detection of mutations in genes frequently mutated at unpredictable locations.