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

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

Research output: Contribution to journalArticlepeer-review

36 Scopus citations

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 indicateded 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.

Original languageEnglish (US)
Pages (from-to)2947-2955
Number of pages9
JournalJournal of Proteome Research
Volume5
Issue number11
DOIs
StatePublished - Nov 2006
Externally publishedYes

Keywords

  • Breast cancer
  • Fibrinogen
  • HER2
  • Plasma
  • Proteomics

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