Fragestellung:
Noninvasive biomarkers for early breast cancer detection are urgently needed, as the
risk of recurrent morbidity and mortality is closely related to the stage of the disease
at the time of primary surgery. Currently, there are no established clinical biomarkers
for breast cancer. Evaluation of protein expression patterns in body fluids using
proteomic technologies can be used to discover new biomarkers for the detection of
breast cancer. The aim of this study was to identify a biomarker signature identifying
primary non-metastatic breast cancer and healthy controls.
Methode:
We screened 91 serum samples including 45 breast cancer patients and 46 healthy women
using a proteomic approach.
Ergebnisse:
We found 14 biomarkers whose combination detects breast cancer patients from non-cancer
controls with a sensitivity of 89% and specificity of 67%. Five biomarkers were comparable
with already identified proteins from published data using similar approaches. This
biomarker panel allows accurate discrimination between breast cancer and healthy individuals.
In addition, it could distinguish subgroups of breast cancer based on patterns of
several specific biomarkers.
Schlussfolgerung:
Further validation of biomarkers could potentially facilitate the early diagnosis
of breast cancer as an aid to imaging diagnostics.
