期刊
PIGMENT CELL & MELANOMA RESEARCH
卷 25, 期 3, 页码 343-353出版社
WILEY-BLACKWELL
DOI: 10.1111/j.1755-148X.2012.00986.x
关键词
classification; expression; Heuristic Online Phenotype Prediction; melanoma; phenotype; prediction
资金
- Swiss National Science Foundation [320030-119989]
- Gottfried und Julia Bangerter Rhyner Stiftung
- Georg und Bertha Schwyzer-Winiker Stiftung
- Institut National du Cancer (INCa) [PLBIO-2008]
- INSERM
- CNRS
- Ligue Nationale Contre le Cancer [EL2011-LNCC/ AM]
- Swiss National Science Foundation (SNF) [320030-119989] Funding Source: Swiss National Science Foundation (SNF)
There is growing evidence that the metastatic spread of melanoma is driven not by a linear increase in tumorigenic aggressiveness, but rather by switching back and forth between two different phenotypes of metastatic potential. In vitro these phenotypes are respectively defined by the characteristics of strong proliferation/weak invasiveness and weak proliferation/strong invasiveness. Melanoma cell phenotype is tightly linked to gene expression. Taking advantage of this, we have developed a gene expressionbased tool for predicting phenotype called Heuristic Online Phenotype Prediction. We demonstrate the predictive utility of this tool by comparing phenotype-specific signatures with measurements of characteristics of melanoma phenotype-specific biology in different melanoma cell lines and short-term cultures. We further show that 86% of 536 tested melanoma lines and short-term cultures are significantly associated with the phenotypes we describe. These findings reinforce the concept that a two-state system, as described by the phenotype switching model, underlies melanoma progression.
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