Breast cancer Proteogenomics

Organisational unit: Research group

Research areas and keywords

UKÄ subject classification

  • Cancer and Oncology

Keywords

  • Breast cancer, local recurrence, blood, mass spectrometry, proteogenomic

Research

Breast cancer is affecting every tenth woman. Local recurrences (LR) indicate an increased risk of distant recurrences (DR) and mortality and might be the first sign towards a spread disease. Prediction of LR could therefore be crucial, an issue we attempt to address. The overall aim within the group is to predict recurrences by monitoring breast cancer specific proteins in tumors and patient blood, primarily using a combination of the DNA sequence and mass spectrometric analysis and to translate these findings into clinical routine work. The proteogenomic strategy will enable us to identify biomarker profiles that predict LR which will be validated by immunohistochemistry (TMA) in additional tumor material and by mass spectrometry of blood samples. We hope that these approaches will uncover breast cancer specific changes that will define new biomarkers distinguishing patients with an increased risk of developing LR.

Recent research outputs

Stenemo, M., Teleman, J., Martin Sjöström, Grubb, G., Erik Malmström, Johan Malmström & Emma Niméus 2016 In : Proteomics. 16, 13, p. 1928-1937 10 p.

Research output: Contribution to journalArticle

Ákos Végvári, Shavkunov, A. S., Fehniger, T., Grabau, D., Emma Niméus & György Marko-Varga 2016 In : Clinical and Translational Medicine. 5, 1, 10

Research output: Contribution to journalArticle

Martin Sjöström, Ossola, R., Breslin, T., Rinner, O., Malmstroem, L., Schmidt, A., Aebersold, R., Johan Malmström & Emma Niméus 2015 In : Journal of Proteome Research. 14, 7, p. 2807-2818

Research output: Contribution to journalArticle

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