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Tumor-stroma interactions a trademark for metastasis.

This is a discussion on Tumor-stroma interactions a trademark for metastasis. within the Analytic News Feeds forums, part of the Analytics category; Tumor-stroma interactions a trademark for metastasis. Breast. 2011 Oct;20 Suppl 3:S50-5 Authors: Morales M, Planet E, Arnal-Estape A, Pavlovic M, Tarragona M, Gomis RR Abstract AIMS: We aimed to unravel ...


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Old 2nd November 2011, 09:24 PM   #1
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Default Tumor-stroma interactions a trademark for metastasis.

Tumor-stroma interactions a trademark for metastasis.

Breast. 2011 Oct;20 Suppl 3:S50-5

Authors: Morales M, Planet E, Arnal-Estape A, Pavlovic M, Tarragona M, Gomis RR

Abstract
AIMS: We aimed to unravel genes that are significantly associated with metastasis in order to identify functions that support disseminated disease.
METHODS AND RESULTS: We identify genes associated with metastasis and verify its clinical correlations using publicly available primary tumor expression profile data sets. We used facilities in R and Bioconductor (GSEA). Specific data structures and functions were imported. Our results show that genes associated with metastasis in primary tumor enriched for pathways associated with immune infiltration or cytokine-cytokine receptor interaction. As an example, we focus on the enrichment of TGFBR2 and TGF|X A set of communication tools capital for tumor-stroma interactions that define metastasis to the lung and support bone colonization.
CONCLUSIONS: We showed that tumor-stroma communication through cytokine-cytokine receptor interaction pathway is selected in primary tumors with high risk of relapse. High levels of these factors support systemic instigation of the far metastatic nest as well as local metastatic-specific functions that provide solid ground for metastatic development.


PMID: 22015293 [PubMed - in process]



PubMed comprises more than 19 million citations for biomedical articles from MEDLINE and life science journals. This RSS feed searches for mentions of Bioconductor - the open source and open development software project for the analysis and comprehension of genomic data.
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