Literature DB >> 11812558

Counting alleles to predict recurrence of early-stage colorectal cancers.

Wei Zhou1, Steven N Goodman, Gennaro Galizia, Eva Lieto, Francesca Ferraraccio, Carlo Pignatelli, Colin A Purdie, Juan Piris, Robert Morris, David J Harrison, Philip B Paty, Al Culliford, Katharine E Romans, Elizabeth A Montgomery, Michael A Choti, Kenneth W Kinzler, Bert Vogelstein.   

Abstract

BACKGROUND: Chromosome imbalances occur in many cancers and represent important biological properties of tumours. However, measurements of such imbalances are difficult. We used a new, quantitative approach to investigate the prognostic value of chromosome imbalances in early-stage colorectal cancers.
METHODS: We studied 180 patients with no evidence of lymph-node or distant metastases at the time of surgery. DNA from paraffin-embedded tumours was tested for imbalances of chromosome 8p and 18q by digital SNP (single-nucleotide polymorphism)-a technique in which each allele in a sample is directly counted. Surviving patients had median follow-up of 68 months, and disease recurrence was used as the clinical endpoint.
FINDINGS: Tumours were divided into three groups: "L" tumours (n=93) had allelic imbalances of chromosomes 8p and 18q, "L/R" tumours (n=60) had allelic imbalances of either chromosome 8p or 18q but not both, and "R" tumours (n=27) retained allelic balance for both chromosomes. 5-year disease-free survival was 100% (95% CI 80-100) for patients with R tumours, 74% (61-87) for patients with L/R tumours, and 58% (47-69) for those with L tumours. These differences were significant (p<0.0001) and were independent of other variables--eg, Duke's stage A tumours of class L were much more likely to recur than Duke's stage B tumours of class R (p=0.002).
INTERPRETATION: In patients without metastasis, allelic imbalance is a better predictor of prognosis than histopathological stage.

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Year:  2002        PMID: 11812558     DOI: 10.1016/S0140-6736(02)07448-2

Source DB:  PubMed          Journal:  Lancet        ISSN: 0140-6736            Impact factor:   79.321


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