Metastasis signatures: genes regulating tumor-microenvironment interactions predict metastatic behavior
Adriana Albini1, Valentina Mirisola, Ulrich Pfeffer
1IRCCS MultiMedica, Scientific and Technological Pole, Via Fantoli 16/15, 20138, Milan, Italy. adriana.albini@multimedica.it
Cancer Metastasis Reviews
|November 30, 2007
Summary
Predicting cancer patient outcomes is possible by analyzing primary tumor gene expression. This reveals that metastasis relies on widespread genetic changes in the tumor, not just rare mutations.
Area of Science:
- Oncology
- Molecular Biology
- Genetics
Background:
- The traditional multistep carcinogenesis model suggested metastasis arises from rare mutations in a small cell fraction.
- Emerging data challenge this, indicating metastasis is linked to widespread genetic events in the primary tumor mass.
Purpose of the Study:
- To review current understanding of gene expression in primary tumors and metastasis.
- To explore how primary tumor and microenvironment gene expression influence metastasis.
- To propose how this knowledge can aid in secondary cancer prevention.
Main Methods:
- Analysis of differential gene expression between primary tumors and metastases.
- Functional analysis of potential metastasis-associated genes in experimental metastasis models.
Main Results:
- Identification of numerous metastasis-associated gene expression events correlating with metastasis development.
- Recognition that metastasis-promoting genes include those from the tumor microenvironment and those involved in tumor-host interactions.
Conclusions:
- Metastasis is significantly influenced by gene expression patterns present in the majority of primary tumor cells and the surrounding microenvironment.
- Understanding these gene expression events offers potential for developing tools for secondary cancer prevention.
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