Proteomic analysis identifies candidate proteins associated with distant recurrences in breast cancer after adjuvant chemotherapy.

Research output: Contribution to journalArticle

Abstract

Breast cancer is a heterogenous disease and it is of importance to select patients with regard to different prognosis and treatment sensitivity to individualize treatment regimes. In this study we successfully adapted a protein extraction protocol from mRNA extracted tumor samples enabling two-dimensional gel electrophoresis (2-DE) analysis of samples previously analyzed by cDNA microarray. The aim was to find candidate proteins that distinguish breast cancer patients with or without recurrences after adjuvant CMF (cyclophosphamide, methotrexate and 5-FU) treatment within four years to follow-up. We identified several proteins distinguishing the recurrence group from the non-recurrence group, especially in the ER and PgR positive subgroup (n = 7). The induced proteins were involved in translation/folding, iron ion binding, and protease inhibition, whereas proteins involved in signaling, ubiquitination, and splicing were decreased in expression. These results show that it is possible to use 2-DE to separate high abundant proteins in breast cancer tissue and to find discriminating proteins to identify patients with different prognosis after adjuvant CMF treatment.

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Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Cell and Molecular Biology
  • Clinical Medicine
  • Cancer and Oncology
  • Basic Medicine

Keywords

  • drug resistance, breast cancer, prognostic markers, two-dimensional gel electrophoresis
Original languageEnglish
Pages (from-to)1086-1093
JournalJournal of Pharmaceutical and Biomedical Analysis
Volume43
Issue number3
Publication statusPublished - 2007
Publication categoryResearch
Peer-reviewedYes

Bibliographic note

The information about affiliations in this record was updated in December 2015. The record was previously connected to the following departments: Analytical Chemistry (S/LTH) (011001004), Division V (013230900), Department of Experimental Medical Science (013210000), Oncology, MV (013035000), Lung Biology (013212002)

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