Research areas and keywords
- 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 were 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
, Pär-Ola Bendahl
, Lisa Rydén
, Mårten Fernö
& Alkner, S., 2018 Aug 29
, In : APMIS : acta pathologica, microbiologica, et immunologica Scandinavica. 126
, p. 746-754 9 p.
Research output: Contribution to journal › Article
View All (42)
Salmén, F., Vickovic, S., Larsson, L., Stenbeck, L., Johan Vallon-Christersson
, Anna Ehinger
, Jari Häkkinen
, Åke Borg
, Frisén, J., Stahl, P. & Lundeberg, J., 2018 Jun 29
Research output: Other contribution › Miscellaneous