利用血清蛋白质组模式鉴定结直肠癌

[Identification of colorectal cancer using proteomic patterns in serum].

作者信息

Zhao Guang, Gao Chun-Fang, Song Guo-Ying, Li Dong-Hui, Wang Xiu-Li

机构信息

Center of Anal-colorectal Surgery, 150th Center Hospital of P.L.A, Luoyang, He'nan,471031, PR China.

出版信息

Ai Zheng. 2004 Jun;23(6):614-8.

PMID:15191657

Abstract

BACKGROUND & OBJECTIVE: At present there is no serological parameter with high sensitivity and specificity to diagnose colorectal cancer. This study aimed at establishing a serum protein fingerprinting technique coupled with a pattern-matching algorithm to distinguish colorectal cancer from benign colorectal diseases and healthy people.

METHODS

Preliminary group and test group were both random selected serum samples, which each comprises 73 cases of colorectal cancer, 31 healthy people, and 16 cases of benign colorectal diseases. The sera of the test group was combined with the surface of the IMAC3 proteinchip. Then reading data of surface enhanced laser desorption/ionization- time of flight-mass spectrometry (SELDI-TOF-MS) was analyzed by Biomarker Wizard software and Biomarker pattern software to get a classification rule of tree, which is standard configuration that can distinguish the sera of colorectal cancer patients from the sera of benign colorectal disease patients and healthy people, and the standard was approved test validity by double-blindly in the test group.

RESULTS

At the key M/Z values of 4 467 Da, 8 131 Da, 8 939 Da, 9 192 Da, 9 134 Da, 8 221 Da, 5 928 Da, 8 324 Da, 11 732 Da, protein contents of the three classes in preliminary group are obviously different by the software analysis. And the classification rule of tree was discovered, and corresponding correct ratio was 98.33% (118/120), corresponding sensitivity was 97.26% (71/73) and corresponding specificity was 100% (47/47); after double-blind examining the test group with that rule, the corresponding correct ratio was 96.77% (116/120),the corresponding sensitivity was 95.89% (70/73) and the corresponding specificity was 97.87%(46/47).

CONCLUSION

Via comparative proteomics research in the sera of colorectal cancer patients and benign colorectal disease patients and healthy people, the group of protein was obviously different in pathological process in discovering colorectal cancer.

摘要

背景与目的

目前尚无对诊断结直肠癌具有高灵敏度和特异性的血清学参数。本研究旨在建立一种血清蛋白指纹图谱技术并结合模式匹配算法，以区分结直肠癌与良性结直肠疾病患者及健康人。

方法

初筛组和试验组均为随机选取的血清样本，每组包含73例结直肠癌患者、31例健康人以及16例良性结直肠疾病患者。将试验组血清与IMAC3蛋白质芯片表面相结合。然后运用Biomarker Wizard软件和Biomarker pattern软件对表面增强激光解吸电离飞行时间质谱（SELDI-TOF-MS）的读取数据进行分析，得到一个树状分类规则，该规则为区分结直肠癌患者血清与良性结直肠疾病患者及健康人血清的标准配置，并在试验组中通过双盲法验证该标准的测试有效性。

结果

通过软件分析，在4467Da、8131Da、8939Da、9192Da、9134Da、8221Da、5928Da、8324Da、11732Da这些关键质荷比（M/Z）值处，初筛组中三类样本的蛋白质含量存在明显差异。并且发现了树状分类规则，其相应的正确率为98.33%（118/120），相应的灵敏度为97.26%（71/73），相应的特异性为100%（47/47）；用该规则对试验组进行双盲检测后，相应的正确率为96.77%（116/120），相应的灵敏度为95.89%（70/73），相应的特异性为97.87%（46/47）。