Personalized Breast Cancer Treatment
Organisational unit: Research group
Research areas and keywords
UKÄ subject classification
- Cancer and Oncology
- Breast cancer, prognosis, prediction, biomarkers, treatment
Breast cancer is a heterogeneous disease with differences in clinical outcome and sensitivity to treatment. The choice of treatment after surgery (radiotherapy, antibodies, endocrine or chemo) is based on prognostic (risk of recurrence) and treatment predictive (choice of treatment) factors. About two thirds are cured after surgery, and still about 90% receive additional treatment. This means that some patients are over treated, but at the same time the treatment is lifesaving for others. It is extremely important to identify patients in need of additional treatment and, when needed, to choose the correct treatment. We are working towards new ways of looking at the information already collected and evaluated in the clinical routine but we’re also trying to identify new factors with both conventional techniques (e.g. immunohistochemistry) and new techniques (e.g. sequencing) that will help clinicians deciding what treatment or treatment combination will be best for the individual patient.
Recent research outputs
Martin Sjöström 2018 Lund: Lund University, Faculty of Medicine. 124 p.
Research output: Thesis › Doctoral Thesis (compilation)
Per Malmström, Carina Forsare, Mårten Fernö, Schmid, T., Brüne, B. & Jung, M. 2017 Dec 22 In : OncoImmunology.
Research output: Contribution to journal › Article
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