Anke T. Witteveen

TL;DR: DNA microarray analysis on primary breast tumours of 117 young patients is used and supervised classification is applied to identify a gene expression signature strongly predictive of a short interval to distant metastases (‘poor prognosis’ signature) in patients without tumour cells in local lymph nodes at diagnosis, providing a strategy to select patients who would benefit from adjuvant therapy.

TL;DR: The gene-expression profile studied is a more powerful predictor of the outcome of disease in young patients with breast cancer than standard systems based on clinical and histologic criteria.

TL;DR: This report demonstrates for the first time that microarray technology can be used as a reliable diagnostic tool and is therefore an excellent tool to predict outcome of disease in breast cancer patients.

TL;DR: By gene expression profiling, it is shown that human primary breast tumors are strikingly similar to the distant metastases of the same patient, suggesting that metastatic capability in breast cancer is an inherent feature and is not based on clonal selection.

TL;DR: The FL stratification profile is a more reliable marker of clinical behavior than the currently used histologic grading and clinical criteria and may provide an important alternative to guide the choice of therapy in patients with FL both at presentation and at relapse.