Signaling pathways in breast cancer metastasis - novel insights from functional genomics.

Mario Andres Blanco, Yibin Kang

Research output: Contribution to journalReview article

29 Scopus citations

Abstract

The advent of genomic profiling technology has brought about revolutionary changes in our understanding of breast cancer metastasis. Gene expression analyses of primary tumors have been used to predict metastatic propensity with high accuracy. Animal models of metastasis additionally offer a platform to experimentally dissect components of the metastasis genetic program. Recent integrated studies have synergized clinical bioinformatic analyses with advanced experimental methodology and begun to uncover the identities and dynamics of signaling programs driving breast cancer metastasis. Such functional genomics studies hold great promise for understanding the genetic basis of metastasis and improving therapeutics for advanced diseases.

Original languageEnglish (US)
Pages (from-to)206
Number of pages1
JournalBreast cancer research : BCR
Volume13
Issue number2
DOIs
StatePublished - 2011

All Science Journal Classification (ASJC) codes

  • Oncology
  • Cancer Research

Fingerprint Dive into the research topics of 'Signaling pathways in breast cancer metastasis - novel insights from functional genomics.'. Together they form a unique fingerprint.

  • Cite this