Screening of serum tumor biomarkers in breast cancer by proteomics
10.3969/j.issn.1006-5725.2017.20.006
- VernacularTitle:利用蛋白质组学技术筛查乳腺癌患者血清肿瘤标志物
- Author:
Chenxi ZHANG
1
;
Xiaoyan LIU
;
Chunyan ZHANG
;
Qing ZHANG
;
Lin GAN
Author Information
1. 西南医科大学基础医学院生物化学与分子生物学教研室
- Keywords:
breast cancer;
proteomics;
serum;
tumor biomarkers
- From:
The Journal of Practical Medicine
2017;33(20):3354-3358
- CountryChina
- Language:Chinese
-
Abstract:
Objective To screen tumor biomarker of breast cancer from expressed differently in breast cancer patients and health by proteomics techniques. Methods Collecting 10 serum cases of breast cancer and healthy respectively,protein spot was separated by two-dimensional electrophoresis,protein expressed differently from breast cancer and healthy was screened by PDQuest software ,and identified by mass spectrometry. Results The 2-DE maps of breast cancer and healthy were established ,22 differentially expressed proteins were analyzed by PDQuest software,took the healthy group as the reference,there were 18 spots with up-regulated serum protein, and 4 spots with down-regulated serum proteins in breast cancer group.12 protein spots were sampled and detected by mass spectrometry. Finally ,4 differentially expressed proteins were identified successfully ,the proteins were confirmed by the database,named as ankyrin-3 isoform X7,keratin,type I cytoskeletal 9,nesprin-2 isoform X11, Dynein heavy chain 10,axonemal isoform X9. Conclusion The 4 differentially expressed proteins in healthy group and breast cancer group can be potential candidate biomarkers for diagnosis of breast cancer.
