NDLI: Gene arrays for diagnosis, prognosis and treatment of breast cancer metastasis

Content Provider	Springer Nature Link
Author	Driouch, Keltouma Landemaine, Thomas Sin, Soraya Wang, ShaoXiao Lidereau, Rosette
Copyright Year	2007
Abstract	The advent of microarray tools has generated a massive amount of gene expression data. These data have greatly enhanced our understanding of the biology of breast cancer metastasis and provide a way to improve the prediction of the metastatic potential of breast tumours. Gene-expression profiling has highlighted the molecular heterogeneity of mammary tumours and contributed to the identification of a new molecular classification of breast cancers. In addition, several molecular signatures predicting the likelihood of distant metastases for breast cancer patients have been characterized. Further reports have described gene expression profiles associated with specific metastatic phenotypes, including the organ preference of breast cancer metastasis. Here we review the major studies that had important impacts on the understanding of breast cancer metastasis. We also discuss the future challenges in this research field and the special issues that still need to be examined.
Starting Page	575
Ending Page	585
Page Count	11
File Format	PDF
ISSN	02620898
Journal	Clinical & Experimental Metastasis
Volume Number	24
Issue Number	8
e-ISSN	15737276
Language	English
Publisher	Springer Netherlands
Publisher Date	2007-11-01
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Gene expression profiles Breast cancer Metastasis Surgical Oncology Hematology Oncology Biomedicine general Cancer Research
Content Type	Text
Resource Type	Article
Subject	Cancer Research Oncology

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