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Updated: Aug 2, 2026
Colorectal Cancer Cell Surface Protein Profiling Using an Antibody Microarray and Fluorescence Multiplexing
Published on: September 25, 2011
An integrated approach to the detection of colorectal cancer utilizing proteomics and bioinformatics
Jie-Kai Yu1, Yi-Ding Chen, Shu Zheng
1Cancer Institute, Zhejiang University, Hangzhou 310009, Zhejiang Province, China.
Aim:
To find new potential biomarkers and to establish patterns for early detection of colorectal cancer.
Methods:
One hundred and eighty-two serum samples including 55 from colorectal cancer (CRC) patients, 35 from colorectal adenoma (CRA) patients and 92 from healthy persons (HP) were detected by surface-enhanced laser desorption/ionization mass spectrometry (SELDI-MS). The data of spectra were analyzed by bioinformatics tools like artificial neural network (ANN) and support vector machine (SVM).
Results:
The diagnostic pattern combined with 7 potential biomarkers could differentiate CRC patients from CRA patients with a specificity of 83%, sensitivity of 89% and positive predictive value of 89%. The diagnostic pattern combined with 4 potential biomarkers could differentiate CRC patients from HP with a specificity of 92%, sensitivity of 89% and positive predictive value of 86%.
Conclusion:
The combination of SELDI with bioinformatics tools could help find new biomarkers and establish patterns with high sensitivity and specificity for the detection of CRC.
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