Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2008 Feb 12;98(3):619-26.
doi: 10.1038/sj.bjc.6604198. Epub 2008 Jan 22.

Microsatellite mutations in buccal cells are associated with aging and head and neck carcinoma

Affiliations

Microsatellite mutations in buccal cells are associated with aging and head and neck carcinoma

R J C Slebos et al. Br J Cancer. .

Abstract

Carcinogen exposure from tobacco smoking is the major cause of upper aerodigestive tract cancer, yet heavy smokers only have about a 10% life-time risk of developing one of these cancers. Current technologies allow only limited prediction of cancer risk and there are no approved screening methods applicable to the general population. We developed a method to assess somatic mutational load using small-pool PCR (SP-PCR) and analysed mutations in DNA isolated from cells obtained by mouth rinse. Mutation levels in the hypermutable tetranucleotide marker D7S1482 were analysed in specimens from 25 head and neck squamous carcinoma (HNSCC) cases and 31 controls and tested for associations with age, smoking history and cancer status. We found a significant association between mutation frequency and age (P=0.021, Generalized Linear Model (GLM), N=56), but no influence of smoking history. Cases had higher mutation frequencies than controls when corrected for the effects of age, a difference that was statistically significant in the subgroup of 10 HNSCC patients who were treated with surgery only (P=0.017, GLM, N=41). We also present evidence that cancer status is linked to levels of nonunique, and presumably clonally derived, mutations in D7S1482. Insertion mutations were observed in 833 (79%) of 1058 alleles, of which 457 (43%) could be explained by insertion of a single repeat unit; deletion mutations were found in 225 (21%) of tested alleles. In conclusion, we demonstrate that the sensitive detection of single molecule mutations in clinical specimens is feasible by SP-PCR. Our study confirms an earlier report that microsatellite mutations increase with age and is the first to provide evidence that these mutations may be associated with cancer status in individual subjects.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Example of microsatellite analysis. DNA from cells obtained by mouth rinse from three subjects were analysed by SP-PCR using the marker D7S1482 (AC). Each subpanel represents the results from one PCR tube with 5 subpanels shown for each subject. The normal (nonmutated) fragment length is indicated by the dotted line, mutant DNA fragments are indicated by arrows.
Figure 2
Figure 2
Observed and expected mutation frequency and age. Indicated are the observed D7S1482 mutation frequencies with 95% CI for all 31 control subjects. Mutation frequency increases with increasing age (P=0.004, GLM) as indicated by the predicted estimate from the univariate statistical model (solid line).
Figure 3
Figure 3
Distribution of insertion and deletion of repeat-unit mutations among all 1058 observed mutations. Approximately 40% of all mutations could be explained by a simple insertion of a single repeat-unit in one of the germline alleles. Insertion mutations were more frequently observed than deletion mutations (79 vs 21%). No obvious differences were seen between cases and controls.

Similar articles

Cited by

References

    1. ACS (2003) Cancer Facts and Figures. Atlanta, GA: American Cancer Society
    1. Ahrendt SA, Decker PA, Doffek K, Wang B, Xu L, Demeure MJ, Jen J, Sidransky D (2000) Microsatellite instability at selected tetranucleotide repeats is associated with p53 mutations in non-small cell lung cancer. Cancer Res 60: 2488–2491 - PubMed
    1. Behrens C, Travis LB, Wistuba II, Davis S, Maitra A, Clarke EA, Lynch CF, Glimelius B, Wiklund T, Tarone R, Gazdar AF (2000) Molecular changes in second primary lung and breast cancers after therapy for Hodgkin's disease. Cancer Epidemiol Biomarkers Prev 9: 1027–1035 - PubMed
    1. Berwick M, Vineis P (2000) Markers of DNA repair and susceptibility to cancer in humans: an epidemiologic review. J Natl Cancer Inst 92: 874–897 - PubMed
    1. Coolbaugh-Murphy M, Maleki A, Ramagli L, Frazier M, Lichtiger B, Monckton DG, Siciliano MJ, Brown BW (2004) Estimating mutant microsatellite allele frequencies in somatic cells by small-pool PCR. Genomics 84: 419–430 - PubMed

Publication types

Substances