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Updated: Jun 19, 2026
Colorectal Cancer Cell Surface Protein Profiling Using an Antibody Microarray and Fluorescence Multiplexing
Published on: September 25, 2011
[Classification and diagnostic prediction of colorectal cancer using protein profiling of serum and bioinformatics]
Yi-Ding Chen1, Pan-Pan Xie, Jian-Wei Yu
1Department of Oncology, The Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310009, China. ydchen@zju.edu.cn
Objective:
To develop a bioinformatic tool and to use it to identify proteomic patterns in serum, distinguishing colorectal cancer from colorectal adenoma and healthy individuals.
Methods:
182 serum samples including 55 colorectal cancer patients, 35 colorectal adenoma and 92 healthy individuals were subjected to analysis by surface-enhanced laser desorption/ionization (SELDI) mass spectrometry.
Result:
The diagnostic pattern combined of 4 candidate biomarkers (M/Z 5911, 8922, 8 944, and 8817) could separate colorectal patients from healthy control with a specificity of 93.3%, sensitivity of 90.9%, and Youden index value of 0.84242. The diagnostic pattern combined of 7 candidate biomarkers (M/Z 17247, 18420 ,5911, 9294, 4654, 21694, and 21742) could separate colorectal cancer patients from colorectal adenoma patients with a specificity of 83.2%, sensitivity of 89.3%, and Youden index value of 0.72484.
Conclusion:
Combination of SELDI with bioinformatics tool can identify some new biomarkers from the sera of colorectal cancer patients, which has a high sensitivity and specificity to distinguish colorectal cancer patients from healthy control.
