Integrative molecular concept modeling of prostate cancer progression
Top Cited Papers
- 17 December 2006
- journal article
- research article
- Published by Springer Nature in Nature Genetics
- Vol. 39 (1), 41-51
- https://doi.org/10.1038/ng1935
Abstract
Despite efforts to profile prostate cancer, the genetic alterations and biological processes that correlate with the observed histological progression are unclear. Using laser-capture microdissection to isolate 101 cell populations, we have profiled prostate cancer progression from benign epithelium to metastatic disease. By analyzing expression signatures in the context of over 14,000 'molecular concepts', or sets of biologically connected genes, we generated an integrative model of progression. Molecular concepts that demarcate critical transitions in progression include protein biosynthesis, E26 transformation-specific (ETS) family transcriptional targets, androgen signaling and cell proliferation. Of note, relative to low-grade prostate cancer (Gleason pattern 3), high-grade cancer (Gleason pattern 4) shows an attenuated androgen signaling signature, similar to metastatic prostate cancer, which may reflect dedifferentiation and explain the clinical association of grade with prognosis. Taken together, these data show that analyzing gene expression signatures in the context of a compendium of molecular concepts is useful in understanding cancer biology.Keywords
This publication has 47 references indexed in Scilit:
- A molecular correlate to the Gleason grading system for prostate adenocarcinomaProceedings of the National Academy of Sciences, 2006
- Identification of a tumour suppressor network opposing nuclear Akt functionNature, 2006
- Recurrent Fusion of TMPRSS2 and ETS Transcription Factor Genes in Prostate CancerScience, 2005
- Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profilesProceedings of the National Academy of Sciences, 2005
- Integrative analysis of the cancer transcriptomeNature Genetics, 2005
- Mining for regulatory programs in the cancer transcriptomeNature Genetics, 2005
- Molecular determinants of resistance to antiandrogen therapyNature Medicine, 2003
- Statistical significance for genomewide studiesProceedings of the National Academy of Sciences, 2003
- PGC-1α-responsive genes involved in oxidative phosphorylation are coordinately downregulated in human diabetesNature Genetics, 2003
- Delineation of prognostic biomarkers in prostate cancerNature, 2001