Literature DB >> 17081046

Declining plasma fibrinogen alpha fragment identifies HER2-positive breast cancer patients and reverts to normal levels after surgery.

Qian Shi1, Lyndsay N Harris, Xin Lu, Xiaochun Li, Justin Hwang, Robert Gentleman, J Dirk Iglehart, Alexander Miron.   

Abstract

Breast cancer is the most common nonskin malignancy affecting women. Currently, no simple, blood-based diagnostic test exists to complement radiological screening and increase sensitivity of detection. To screen plasma specimens and identify biomarkers that detect HER2-positive breast cancer, automated robotic sample processing followed by surface-enhanced laser desorption ionization time-of-flight (SELDI-TOF) mass spectroscopy was used. Multiple statistical algorithms were used to select biomarkers that segregate cancer patients versus controls and produced average CV rates ranging from 20% to 29%. A set of seven biomarkers were validated on an independent test data set and achieved the best error rate of 19.1%. A permutation test indicated a p-value for CV error less than 0.002. Moreover, a ROC curve using these biomarkers achieved an area-under-the-curve value of 0.95 on an independent test data set. The marker responsible for most of the resolving power was identified as a fragment of Fibrinogen Alpha (FGA) encompassing residues 605-629. This marker was present at lower levels in cancer patients as compared to controls. The importance of this biomarker was validated in a longitudinal study comparing pre- and post-operative levels and was shown to revert to normal levels after surgery. This fragment may serve as a useful diagnostic and treatment-monitoring marker.

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Year:  2006        PMID: 17081046     DOI: 10.1021/pr060099u

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  9 in total

1.  Hyperfibrinogenemia predicts poor prognosis in patients with advanced biliary tract cancer.

Authors:  Heming Li; Tong Zhao; Xuening Ji; Shanshan Liang; Zhe Wang; Yulong Yang; Jiajun Yin; Ruoyu Wang
Journal:  Tumour Biol       Date:  2015-10-09

2.  Identification of Salivary Biomarkers for Oral Cancer Detection with Untargeted and Targeted Quantitative Proteomics Approaches.

Authors:  Hao-Wei Chu; Kai-Ping Chang; Chia-Wei Hsu; Ian Yi-Feng Chang; Hao-Ping Liu; Yi-Ting Chen; Chih-Ching Wu
Journal:  Mol Cell Proteomics       Date:  2019-06-28       Impact factor: 5.911

3.  Specific Investigation of Sample Handling Effects on Protease Activities and Absolute Serum Concentrations of Various Putative Peptidome Cancer Biomarkers.

Authors:  Irene van den Broek; Rolf W Sparidans; Jan H M Schellens; Jos H Beijnen
Journal:  Clin Proteomics       Date:  2010-09-30       Impact factor: 3.988

4.  Clinical proteomics of breast cancer.

Authors:  Y Baskın; T Yiğitbaşı
Journal:  Curr Genomics       Date:  2010-11       Impact factor: 2.236

5.  Recursive SVM feature selection and sample classification for mass-spectrometry and microarray data.

Authors:  Xuegong Zhang; Xin Lu; Qian Shi; Xiu-Qin Xu; Hon-Chiu E Leung; Lyndsay N Harris; James D Iglehart; Alexander Miron; Jun S Liu; Wing H Wong
Journal:  BMC Bioinformatics       Date:  2006-04-10       Impact factor: 3.169

6.  High plasma fibrinogen is correlated with poor response to trastuzumab treatment in HER2 positive breast cancer.

Authors:  Yu-Lin Liu; Qing Lu; Ji-Wei Liang; Yu Xia; Wei Zhang; Bao-Quan Hu; Fang-Fang Shang; You-Ran Ji; Jun Wang; Qiang Wang; Bing Liang
Journal:  Medicine (Baltimore)       Date:  2015-02       Impact factor: 1.889

7.  Proteomic profiling of urine for the detection of colon cancer.

Authors:  Douglas G Ward; Stephen Nyangoma; Howard Joy; Emma Hamilton; Wenbin Wei; Chris Tselepis; Neil Steven; Michael J O Wakelam; Philip J Johnson; Tariq Ismail; Ashley Martin
Journal:  Proteome Sci       Date:  2008-06-16       Impact factor: 2.480

Review 8.  Applications of SELDI-MS technology in oncology.

Authors:  L C Whelan; K A R Power; D T McDowell; J Kennedy; W M Gallagher
Journal:  J Cell Mol Med       Date:  2008-02-04       Impact factor: 5.310

9.  Novel circulating peptide biomarkers for esophageal squamous cell carcinoma revealed by a magnetic bead-based MALDI-TOFMS assay.

Authors:  Kun Jia; Wei Li; Feng Wang; Haixia Qu; Yuanyuan Qiao; Lanping Zhou; Yulin Sun; Qingwei Ma; Xiaohang Zhao
Journal:  Oncotarget       Date:  2016-04-26
  9 in total

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