Multi-gene classifiers for prediction of recurrence in breast cancer patients
Multi-gene classifiers for prediction of recurrence in breast cancer patients
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Publisher
Tokyo: Springer Japan
Journal title
Language
English
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Publisher
Tokyo: Springer Japan
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Scope and Contents
Contents
Accurate prediction of recurrence risk is of vital importance for tailoring adjuvant chemotherapy for individual breast cancer patients. Although recurrence risk has been assessed by means of examination of histological data and biomarkers (ER, PR, HER2, Ki67), such conventional examinations are not accurate enough to select subsets of patients who...
Alternative Titles
Full title
Multi-gene classifiers for prediction of recurrence in breast cancer patients
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Author / Creator
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Record Identifier
TN_cdi_proquest_miscellaneous_1752353236
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1752353236
Other Identifiers
ISSN
1340-6868
E-ISSN
1880-4233
DOI
10.1007/s12282-015-0596-9
