Identification of biomarkers for esophageal squamous cell carcinoma using feature selection and decision tree methods

Chun Wei Tung, Ming Tsang Wu, Yu Kuei Chen, Chun Chieh Wu, Wei Chung Chen, Hsien Pin Li, Shah Hwa Chou, Deng Chyang Wu, I. Chen Wu

研究成果: 雜誌貢獻文章同行評審

25 引文 斯高帕斯(Scopus)

摘要

Esophageal squamous cell cancer (ESCC) is one of the most common fatal human cancers. The identification of biomarkers for early detection could be a promising strategy to decrease mortality. Previous studies utilized microarray techniques to identify more than one hundred genes; however, it is desirable to identify a small set of biomarkers for clinical use. This study proposes a sequential forward feature selection algorithm to design decision tree models for discriminating ESCC from normal tissues. Two potential biomarkers of RUVBL1 and CNIH were identified and validated based on two public available microarray datasets. To test the discrimination ability of the two biomarkers, 17 pairs of expression profiles of ESCC and normal tissues from Taiwanese male patients were measured by using microarray techniques. The classification accuracies of the two biomarkers in all three datasets were higher than 90%. Interpretable decision tree models were constructed to analyze expression patterns of the two biomarkers. RUVBL1 was consistently overexpressed in all three datasets, although we found inconsistent CNIH expression possibly affected by the diverse major risk factors for ESCC across different areas.

原文英語
文章編號782031
期刊The Scientific World Journal
2013
DOIs
出版狀態已發佈 - 12月 1 2013
對外發佈

ASJC Scopus subject areas

  • 一般生物化學,遺傳學和分子生物學
  • 一般環境科學

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