20 research outputs found
An assessment of the radiological impact of the Windscale reactor fire October 1957 Addendum to report NRPB R135
SIGLELD:9091.9F(NRPB-R--135) / BLDSC - British Library Document Supply CentreGBUnited Kingdo
Gene expression profiling predicts clinical outcome of breast cancer
Breast cancer patients with the same stage of disease can have
markedly different treatment responses and overall outcome. The
strongest predictors for metastases (for example, lymph node
status and histological grade) fail to classify accurately breast
tumours according to their clinical behaviour. Chemotherapy
or hormonal therapy reduces the risk of distant metastases by
approximately one-third; however, 70 â 80% of patients receiving
this treatment would have survived without it. None of the
signatures of breast cancer gene expression reported to date
allow for patient-tailored therapy strategies. Here we used DNA
microarray analysis on primary breast tumours of 117 young
patients, and applied supervised classification 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 (lymph node
negative). In addition, we established a signature that identifies
tumours of BRCAI carriers. The poor prognosis signature consists
of genes regulating cell cycle, invasion, metastasis and angiogenesis. This gene expression profile will outperform all
currently used clinical parameters in predicting disease outcome.
Our findings provide a strategy to select patients who would
benefit from adjuvant therapy