Literature DB >> 19624269

Comparative serum proteome analysis of human lymph node negative/positive invasive ductal carcinoma of the breast and benign breast disease controls via label-free semiquantitative shotgun technology.

Xiaofang Hu1, Yan Zhang, Aili Zhang, Yingzi Li, Zhenmin Zhu, Zhimin Shao, Rong Zeng, Lisa X Xu.   

Abstract

Serum proteomics provides a useful tool to identify potential biomarkers associated with cancer progression. In the present study, a two-dimensional liquid chromatography-tandem mass spectrometry (2D-LC-MS/MS) on a linear ion trap was utilized to identify and compare serum proteins from breast cancer patients. Three groups of 21 human sera, 7 from patients with lymph node-negative invasive ductal carcinoma (IDCB), 7 from patients with lymph node-positive IDCB, and 7 controls from patients with benign breast diseases, were analyzed. Through proteomic analysis, a total of 2,078 proteins were identified with at least two unique peptide hits. By quantification with label-free spectral counting, a fruitful list of serum proteins with significant differences in abundance accompanying the progression of breast cancer was found. Through hierarchical cluster analysis based on the differently expressed proteins in selection, we found that different groups of sera could be distinguished. Among the selected proteins, tenascin-XB (TNXB) was further validated by the ELISA method in 131 serum samples as a promising biomarker for early metastasis of breast cancer. These experiments revealed the valuable potential of label-free quantitative 2D-LC-MS/MS for identification of novel biomarkers for disease progression.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19624269     DOI: 10.1089/omi.2009.0016

Source DB:  PubMed          Journal:  OMICS        ISSN: 1536-2310


  14 in total

1.  Utilizing spectral counting to quantitatively characterize tandem removal of abundant proteins (TRAP) in human plasma.

Authors:  Christopher M Shuford; Adam M Hawkridge; John C Burnett; David C Muddiman
Journal:  Anal Chem       Date:  2010-11-19       Impact factor: 6.986

2.  Lowered expression of galectin-2 is associated with lymph node metastasis in gastric cancer.

Authors:  Ji-Han Jung; Hye-Jung Kim; Jeonghun Yeom; Changyoung Yoo; Jihye Shin; Jinyoung Yoo; Chang Suk Kang; Cheolju Lee
Journal:  J Gastroenterol       Date:  2011-10-21       Impact factor: 7.527

Review 3.  Proteomic research progress in lymphatic metastases of cancers.

Authors:  Junwei Zong; Chunmei Guo; Shuqing Liu; Ming-Zhong Sun; Jianwu Tang
Journal:  Clin Transl Oncol       Date:  2012-01       Impact factor: 3.405

4.  Discovery of cancer common and specific driver gene sets.

Authors:  Junhua Zhang; Shihua Zhang
Journal:  Nucleic Acids Res       Date:  2017-06-02       Impact factor: 16.971

5.  Label-free proteomics reveals decreased expression of CD18 and AKNA in peripheral CD4+ T cells from patients with Vogt-Koyanagi-Harada syndrome.

Authors:  Liming Mao; Peizeng Yang; Shengping Hou; Fuzhen Li; Aize Kijlstra
Journal:  PLoS One       Date:  2011-01-28       Impact factor: 3.240

6.  Pathway-based Biomarkers for Breast Cancer in Proteomics.

Authors:  Fan Zhang; Youping Deng; Mu Wang; Li Cui; Renee Drabier
Journal:  Cancer Inform       Date:  2015-02-09

7.  A neural network approach to multi-biomarker panel discovery by high-throughput plasma proteomics profiling of breast cancer.

Authors:  Fan Zhang; Jake Chen; Mu Wang; Renee Drabier
Journal:  BMC Proc       Date:  2013-12-20

8.  Novel alternative splicing isoform biomarkers identification from high-throughput plasma proteomics profiling of breast cancer.

Authors:  Fan Zhang; Mu Wang; Tran Michael; Renee Drabier
Journal:  BMC Syst Biol       Date:  2013-12-09

9.  Breast cancer subtyping from plasma proteins.

Authors:  Fan Zhang; Jake Y Chen
Journal:  BMC Med Genomics       Date:  2013-01-23       Impact factor: 3.063

10.  Multiple biomarker panels for early detection of breast cancer in peripheral blood.

Authors:  Fan Zhang; Youping Deng; Renee Drabier
Journal:  Biomed Res Int       Date:  2013-11-26       Impact factor: 3.411

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.