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A serum proteomic pattern for the detection of colorectal adenocarcinoma using surface enhanced laser desorption and ionization mass spectrometry
Liu, Xing-pan1; Shen, Jing1; Li, Zhen-fu1; Yan, Li1; Gu, Jin1
关键词Colorectal Cancer Biomarkers Proteomics Seldi-tof-ms Cancer Detection
刊名CANCER INVESTIGATION
2006-12-01
DOI10.1080/07357900601063873
24期:8页:747-753
收录类别SCI
文章类型Article
WOS标题词Science & Technology
类目[WOS]Oncology
研究领域[WOS]Oncology
关键词[WOS]TUMOR-MARKERS ; PROSTATE-CANCER ; BREAST-CANCER ; BIOMARKERS ; IDENTIFICATION ; GUIDELINES ; DISCOVERY ; UTILITY
英文摘要

Purpose: New serum biomarkers are needed to improve the early detection of colorectal adenocarcinoma. We performed surface enhanced laser desorption and ionization time-of-flight mass spectrometry (SELDI-TOF-MS) to screen for differentially expressed proteins in serum and build a proteomic diagnostic pattern for the detection of colorectal adenocarcinoma to improve the prognosis of patients with this disease. Experimental Design: In an attempt to improve current approaches to the serologic diagnosis of colorectal cancer, we analyzed serum samples from subjects with or without colorectal cancer using SELDI-MS. Using a case-control study design, SELDI-MS profile of serum samples from 74 colorectal adenocarcinoma patients were compared with 48 age-and sex-matched healthy subjects using a ProteinChip reader, PBSII-C. Proteomic MS spectra were generated using IMAC3 chips, and protein peaks clustering and classification analyses were performed to build a proteomic pattern that could differentiate patients with colorectal adenocarcinoma from healthy subjects utilizing Biomarker Wizard and Biomarker Patterns software packages, respectively. The constructed pattern was then used to test an independent set of masked serum samples from 60 colorectal cancer patients and 39 healthy subjects.Results: Among the differentially expressed protein peaks identified by SELDI-MS profiling that had the ability to distinguish between patients and healthy subjects, we determined a minimum set of two protein peaks for system training and for developing a decision classification pattern. Masked analysis of an independent set of serum samples showed the diagnostic pattern could differentiate patients with different stages of colorectal cancer from healthy subjects with a sensitivity of 95.00 percent and specificity of 94.87 percent. Conclusion: SELDI-TOF-MS profiling of serum proteins combined with bioinformatics tools can be applied to accurately differentiate patients with colorectal cancer from healthy subjects. The high sensitivity and specificity achieved by the constructed clustering analysis algorithm show great potential for the early detection of colorectal cancer.

语种英语
WOS记录号WOS:000242710800004
引用统计
被引频次:44[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.bjmu.edu.cn/handle/400002259/52498
专题北京大学临床肿瘤学院
作者单位1.Peking Univ, Sch Oncol, Dept Surg, Beijing Inst Canc Res,Cent Lab Biochem & Mol Biol, Beijing 100036, Peoples R China
2.Peking Univ, Beijing Canc Hosp, Sch Oncol, Dept Surg, Beijing 100871, Peoples R China
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GB/T 7714
Liu, Xing-pan,Shen, Jing,Li, Zhen-fu,et al. A serum proteomic pattern for the detection of colorectal adenocarcinoma using surface enhanced laser desorption and ionization mass spectrometry[J]. CANCER INVESTIGATION,2006,24(8):747-753.
APA Liu, Xing-pan,Shen, Jing,Li, Zhen-fu,Yan, Li,&Gu, Jin.(2006).A serum proteomic pattern for the detection of colorectal adenocarcinoma using surface enhanced laser desorption and ionization mass spectrometry.CANCER INVESTIGATION,24(8),747-753.
MLA Liu, Xing-pan,et al."A serum proteomic pattern for the detection of colorectal adenocarcinoma using surface enhanced laser desorption and ionization mass spectrometry".CANCER INVESTIGATION 24.8(2006):747-753.
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