Classification and diagnostic prediction of colorectal cancer using protein profiling of serum and bioinformatics.
- Author:
Yi-Ding CHEN
1
;
Pan-Pan XIE
;
Jian-Wei YU
;
Jun ZHOU
;
Shu ZHENG
Author Information
- Publication Type:Journal Article
- MeSH: Adenoma; blood; classification; diagnosis; Adult; Aged; Biomarkers, Tumor; analysis; Blood Proteins; analysis; chemistry; Carcinoma; blood; classification; diagnosis; Case-Control Studies; Colorectal Neoplasms; classification; diagnosis; Computational Biology; Female; Humans; Male; Middle Aged; Proteome; analysis; Proteomics; methods; Sensitivity and Specificity; Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization; instrumentation; methods
- From: Journal of Zhejiang University. Medical sciences 2009;38(5):470-477
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVETo develop a bioinformatic tool and to use it to identify proteomic patterns in serum, distinguishing colorectal cancer from colorectal adenoma and healthy individuals.
METHODS182 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.
RESULTThe 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.
CONCLUSIONCombination 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.
