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Combining proteomics, serum biomarkers and bioinformatics to discriminate between esophageal squamous cell carcinoma and pre-cancerous lesion

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Abstract

Objective

Biomarker assay is a noninvasive method for the early detection of esophageal squamous cell carcinoma (ESCC). Searching for new biomarkers with high specificity and sensitivity is very important for the early detection of ESCC. Serum surface-enhanced laser desorption/ionization-time of flight mass spectrometry (SELDI-TOF-MS) is a high throughput technology for identifying cancer biomarkers using drops of sera.

Methods

In this study, 185 serum samples were taken from ESCC patients in a high incidence area and screened by SELDI. A support vector machine (SVM) algorithm was adopted to analyze the samples.

Results

The SVM patterns successfully distinguished ESCC from pre-cancerous lesions (PCLs). Also, types of PCL, including dysplasia (DYS) and basal cell hyperplasia (BCH), and healthy controls (HC) were distinguished with an accuracy of 95.2% (DYS), 96.6% (BCH), and 93.8% (HC), respectively. A marker of 25.1 kDa was identified in the ESCC patterns whose peak intensity was observed to increase significantly during the development of esophageal carcinogenesis, and to decrease obviously after surgery.

Conclusions

We selected five ESCC biomarkers to form a diagnostic pattern which can discriminate among the different stages of esophageal carcinogenesis. This pattern can significantly improve the detection of ESCC.

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Authors and Affiliations

  1. Cancer Institute, Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education, the Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310009, China

    Xiao-hui Zhai, Jie-kai Yu, Chen Lin & Shu Zheng

  2. Laboratory for Cancer Research, College of Medicine, Zhengzhou University, Zhengzhou, 450001, China

    Li-dong Wang

Authors
  1. Xiao-hui Zhai
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  2. Jie-kai Yu
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  3. Chen Lin
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  4. Li-dong Wang
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  5. Shu Zheng
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Corresponding author

Correspondence to Shu Zheng.

Additional information

Project supported by the National Natural Science Foundation of China (No. 30901731) and the Fundamental Research Funds for the Central Universities (No. 2012FZA7004), China

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Zhai, Xh., Yu, Jk., Lin, C. et al. Combining proteomics, serum biomarkers and bioinformatics to discriminate between esophageal squamous cell carcinoma and pre-cancerous lesion. J. Zhejiang Univ. Sci. B 13, 964–971 (2012). https://doi.org/10.1631/jzus.B1200066

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  • DOI: https://doi.org/10.1631/jzus.B1200066

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