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Proteomic Profiling of Invasive Ductal Carcinoma (IDC) using Magnetic Beads-based Serum Fractionation and MALDI-TOF MS

  • Juan Yang
  • , Jiang Zhu
  • , Kang He
  • , Ling Yu Zhao
  • , Li Ying Liu
  • , Tu Sheng Song
  • , Chen Huang
  • Shaanxi Provincial Tumor Hospital
  • Xi'an Jiaotong University

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

Aim: To reveal the serum proteomic profiling of intraductal carcinoma (IDC) patients in China, establish a serum proteome fractionation technique for choosing magnetic beads for proteomic analysis in breast cancer research; and identify differentially expressed peptides (m/z; P < 0.0001) as potential biomarkers of early IDCs. Methods: We used two different kinds of magnetic beads (magnetic bead-based weak cation exchange chromatography (MB-WCX) and immobilized metal ion affinity chromatography (MB-IMAC-Cu)) to analyze 32 patients with early stage (stages I-II) IDC and 32 healthy control serum samples for proteomic profiling by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) analysis. The mass spectra, analyzed using ClinProTools software, distinguished between IDC patients and healthy individuals based on k-nearest neighbor genetic algorithm. Results: The serum samples purified in the MB-WCX group provided better proteomic patterns than the MB-IMAC-Cu group. The samples purified by MB-WCX had better average peak numbers, higher peak intensities, and better capturing ability of low abundance proteins or peptides in serum samples. In addition, the MB-WCX and MB-IMAC-Cu purification methods, followed MALDI-TOF MS identification and use of ClinProTools software accurately distinguished patients with early stage IDC from healthy individuals. Conclusion: Serum proteomic profiling by MALDI-TOF MS is a novel potential tool for the clinical diagnosis of patients with IDC in China.

Original languageEnglish
Pages (from-to)321-327
Number of pages7
JournalJournal of Clinical Laboratory Analysis
Volume29
Issue number4
DOIs
StatePublished - 1 Jul 2015

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Biomarker
  • Intraductal carcinoma
  • MALDI-TOF MS
  • MB-IMAC-Cu
  • MB-WCX

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