Prognosis of treatment response (pathological complete response) in breast cancer.
Ontology highlight
ABSTRACT: Pertaining to the female population in the USA, breast cancer is the leading cancer in terms of annual incidence rate and, in terms of mortality, the second most lethal cancer. There are currently no biomarkers available that can predict which breast cancer patients will respond to chemotherapy with both sensitivity and specificity > 80%, as mandated by the latest FDA requirements. In this study, we have developed a prognostic biomarker model (complex mathematical function) that-based on global gene expression analysis of tumor tissue collected during biopsy and prior to the commencement of chemotherapy-can identify with a high accuracy those patients with breast cancer (clinical stages I-III) who will respond to the paclitaxel-fluorouracil-doxorubicin-cyclophosphamide chemotherapy and wil
SUBMITTER: Nikas JB
PROVIDER: S-EPMC3355866 | biostudies-literature | 2012
REPOSITORIES: biostudies-literature
ACCESS DATA