3p14 and 9p21 loss is a simple tool for predicting second oral malignancy at previously treated oral cancer sites

Cancer Res. 2002 Nov 15;62(22):6447-50.

Abstract

Treatment induces reactive changes that often resemble low-grade dysplasia at former oral cancer sites, complicating histopathological assessment. We tested a set of microsatellite markers shown previously to be predictive of progression for oral premalignant lesions for the ability to predict development of second oral malignancy (SOM). Sixty-eight oral leukoplakia at former cancer sites (with known outcome, 36 progressed to SOM) were evaluated for loss of heterozygosity at 19 loci on seven chromosome arms. 3p and/or 9p loss in these posttreatment leukoplakia was associated with a 26.3-fold increase in risk of developing SOM compared with those that retained both of these arms (P < 0.001), with 60% of cases with loss of heterozygosity developing SOM in 2 years. In contrast, histological diagnosis (moderate or severe dysplasia versus hyperplasia or mild dysplasia) had only a 1.7-fold increase in risk (P = 0.11). The identification of 3p and 9p loss in posttreatment lesions could serve as a simple and direct test for stratifying risk of SOM development.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Aged, 80 and over
  • Carcinoma in Situ / genetics
  • Carcinoma in Situ / pathology
  • Carcinoma in Situ / therapy
  • Carcinoma, Squamous Cell / genetics
  • Carcinoma, Squamous Cell / pathology
  • Carcinoma, Squamous Cell / therapy
  • Chromosomes, Human, Pair 3 / genetics*
  • Chromosomes, Human, Pair 9 / genetics*
  • Female
  • Genetic Predisposition to Disease
  • Humans
  • Leukoplakia, Oral / genetics
  • Leukoplakia, Oral / pathology
  • Loss of Heterozygosity*
  • Male
  • Middle Aged
  • Mouth Neoplasms / genetics*
  • Mouth Neoplasms / pathology
  • Mouth Neoplasms / therapy
  • Neoplasms, Second Primary / genetics*
  • Neoplasms, Second Primary / pathology
  • Predictive Value of Tests