Your browser doesn't support javascript.
loading
CpG island methylation profile in non-invasive oral rinse samples is predictive of oral and pharyngeal carcinoma.
Langevin, Scott M; Eliot, Melissa; Butler, Rondi A; Cheong, Agnes; Zhang, Xiang; McClean, Michael D; Koestler, Devin C; Kelsey, Karl T.
Afiliação
  • Langevin SM; Department of Environmental Health, University of Cincinnati College of Medicine, 160 Panzeca Way, ML0056, Cincinnati, OH 45267 USA.
  • Eliot M; Department of Epidemiology, Brown University, Providence, RI USA.
  • Butler RA; Department of Epidemiology, Brown University, Providence, RI USA.
  • Cheong A; Department of Veterinary and Animal Sciences, University of Massachusetts Amherst, Amherst, MA USA.
  • Zhang X; Department of Environmental Health, University of Cincinnati College of Medicine, 160 Panzeca Way, ML0056, Cincinnati, OH 45267 USA.
  • McClean MD; Department of Environmental Health, Boston University School of Public Health, Boston, MA USA.
  • Koestler DC; Department of Biostatistics, University of Kansas Medical Center, Kansas City, KA USA.
  • Kelsey KT; Department of Epidemiology, Brown University, Providence, RI USA ; Department of Pathology and Laboratory Medicine, Brown University, 70 Ship Street, Box G-E3, Providence, RI 02912 USA.
Clin Epigenetics ; 7: 125, 2015.
Article em En | MEDLINE | ID: mdl-26635906
ABSTRACT

BACKGROUND:

There are currently no screening tests in routine use for oral and pharyngeal cancer beyond visual inspection and palpation, which are provided on an opportunistic basis, indicating a need for development of novel methods for early detection, particularly in high-risk populations. We sought to address this need through comprehensive interrogation of CpG island methylation in oral rinse samples.

METHODS:

We used the Infinium HumanMethylation450 BeadArray to interrogate DNA methylation in oral rinse samples collected from 154 patients with incident oral or pharyngeal carcinoma prior to treatment and 72 cancer-free control subjects. Subjects were randomly allocated to either a training or a testing set. For each subject, average methylation was calculated for each CpG island represented on the array. We applied a semi-supervised recursively partitioned mixture model to the CpG island methylation data to identify a classifier for prediction of case status in the training set. We then applied the resultant classifier to the testing set for validation and to assess the predictive accuracy.

RESULTS:

We identified a methylation classifier comprised of 22 CpG islands, which predicted oral and pharyngeal carcinoma with a high degree of accuracy (AUC = 0.92, 95 % CI 0.86, 0.98).

CONCLUSIONS:

This novel methylation panel is a strong predictor of oral and pharyngeal carcinoma case status in oral rinse samples and may have utility in early detection and post-treatment follow-up.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies / Screening_studies Idioma: En Revista: Clin Epigenetics Ano de publicação: 2015 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies / Screening_studies Idioma: En Revista: Clin Epigenetics Ano de publicação: 2015 Tipo de documento: Article