Tuyển tập các báo cáo nghiên cứu khoa học ngành y học tạp chí Medical Sciences dành cho các bạn sinh viên ngành y tham khảo đề tài: MALDI-TOF MS Combined With Magnetic Beads for Detecting Serum Protein Biomarkers and Establishment of Boosting Decision Tree Model for Diagnosis of Colorectal Cancer. | Int. J. Med. Sci. 2011 8 39 International Journal of Medical Sciences 2011 8 1 39-47 Ivyspring International Publisher. All rights reserved. Research Paper MALDI-TOF MS Combined With Magnetic Beads for Detecting Serum Protein Biomarkers and Establishment of Boosting Decision Tree Model for Diagnosis of Colorectal Cancer Chibo Liu1H Chunqin Pan1 Jianmin Shen2 Haibao Wang3H Liang Yong4 1. Department of Clinical Laboratory Taizhou Municipal Hospital Taizhou Zhejiang 318000 China 2. Department of Radiology Taizhou Municipal Hospital Taizhou Zhejiang 318000 China 3. Hospital Office Taizhou Municipal Hospital Taizhou Zhejiang 318000 China 4. Department of Oncology Taizhou Municipal Hospital Taizhou Zhejiang 318000 China H Corresponding author Chibo Liu Department of Clinical Laboratory Taizhou Municipal Hospital Taizhou Zhejiang 318000 China Tel. 86-576-8885-8213 Fax 86-576-8885-8024 E-mail address liuchibo@. Haibao Wang Hospital Office Taizhou Municipal Hospital Taizhou Zhejiang 318000 China Tel. 86-576-8885-8001 Fax 86-576-8885-8024 E-mail address wanghb1962@. Received Accepted Published Abstract The aim of present study is to study the serum protein fingerprint of patients with colorectal cancer CRC and to screen protein molecules that are closely related to colorectal cancer during the onset and progression of the disease with Matrix-assisted laser desorp-tion ionization time-of-flight mass spectrometry MALDI-TOF MS . Serum samples from 144 patients with CRC and 120 healthy volunteers were adopted in present study. Weak cation exchange WCX magnetic beads and PBSII-C protein chips reader Ciphergen Biosystems Ins. were used. The protein fingerprint expression of all the Serum samples and the resulted profiles between cancer and normal groups were analyzed with Biomarker Wizard system. Several proteomic peaks were detected and four potential biomarkers with different expression profiles were identified with their relative .
