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Mattias Ohlsson

Mattias Ohlsson

Professor

Mattias Ohlsson

Tumor tissue protein signatures reflect histological grade of breast cancer

Author

  • Petter Skoog
  • Mattias Ohlsson
  • Mårten Fernö
  • Lisa Rydén
  • Carl Borrebaeck
  • Christer Wingren

Summary, in English

Histological grade is one of the most commonly used prognostic factors for patients diagnosed with breast cancer. However, conventional grading has proven technically challenging, and up to 60% of the tumors are classified as histological grade 2, which represents a heterogeneous cohort less informative for clinical decision making. In an attempt to study and extend the molecular puzzle of histologically graded breast cancer, we have in this pilot project searched for additional protein biomarkers in a new space of the proteome. To this end, we have for the first time performed protein expression profiling of breast cancer tumor tissue, using recombinant antibody microarrays, targeting mainly immunoregulatory proteins. Thus, we have explored the immune system as a disease-specific sensor (clinical immunoproteomics). Uniquely, the results showed that several biologically relevant proteins reflecting histological grade could be delineated. In more detail, the tentative biomarker panels could be used to i) build a candidate model classifying grade 1 vs. grade 3 tumors, ii) demonstrate the molecular heterogeneity among grade 2 tumors, and iii) potentially re-classify several of the grade 2 tumors to more like grade 1 or grade 3 tumors. This could, in the long-term run, lead to improved prognosis, by which the patients could benefit from improved tailored care

Department/s

  • Department of Immunotechnology
  • Computational Biology and Biological Physics
  • Department of Astronomy and Theoretical Physics
  • Artificial Intelligence in CardioThoracic Sciences (AICTS)
  • Personalized Breast Cancer Treatment
  • Breastcancer-genetics
  • BioCARE: Biomarkers in Cancer Medicine improving Health Care, Education and Innovation
  • The Liquid Biopsy and Tumor Progression in Breast Cancer
  • Breast Cancer Surgery
  • Surgery (Lund)
  • Create Health

Publishing year

2017-06-26

Language

English

Publication/Series

PLoS ONE

Document type

Journal article

Publisher

Public Library of Science

Topic

  • Immunology
  • Cancer and Oncology

Keywords

  • Breast Cancer
  • Histology
  • Biomarkers
  • Enzyme-linked immunoassays
  • Microarrays
  • Breast tumors
  • Recombinant proteins
  • Antibodies

Status

Published

Research group

  • Artificial Intelligence in CardioThoracic Sciences (AICTS)
  • Personalized Breast Cancer Treatment
  • The Liquid Biopsy and Tumor Progression in Breast Cancer
  • Breast Cancer Surgery

ISBN/ISSN/Other

  • ISSN: 1932-6203