Le He | PubMed Health

PubMed2006

Defining aggressive prostate cancer using a 12-gene model.

The critical clinical question in prostate cancer research is: How do we develop means of distinguishing aggressive disease from indolent disease? Using a combination of proteomic and expression array data, we identified a set of 36 genes with concordant dysregulation of protein products that could be evaluated in situ by quantitative immunohistochemistry. Another five prostate cancer biomarkers were included using linear discriminant analysis, we determined that the optimal model used to predict prostate cancer progression consisted of 12 proteins. Using a separate patient population, transcriptional levels of the 12 genes encoding for these proteins predicted prostate-specific antigen failure in 79 men following surgery for clinically localized prostate cancer (P = .0015). This study demonstrates that cross-platform models can lead to predictive models with the possible advantage of being more robust through this selection process.

Biomarkers, Tumor↗

PubMed2005

Identification of two molecular groups of seminomas by using expression and tissue microarrays.

Highly effective tailored clinical management of testicular germ cell tumors is based on the identification of two major histologic subtypes: seminomatous and nonseminomatous germ cell tumors. Expression array analysis of these two histologic subtypes using hierarchical clustering reveals two tumor groups, one composed solely of seminomas and the other containing embryonal carcinomas and seminomas. Supervised analysis between these groups identified 55 significantly dysregulated genes (false discovery rate = 2.3). The genes with the highest overexpression in the first group compared with the second included SLC43A1 (POV1), NET-7, IGF2, and JUP; down-regulated genes included GRB7, PFKP, and CDC6. In situ hybridization of SLC43A1 mRNA showed significantly increased signal intensity in the seminomas. At the protein level, expression of the immunohistochemical markers cytokeratins (pan-cytokeratin staining), placental-like alkaline phosphatase, anti-cytokeratin clone 5.2, CD30, anion exchanger 1/3, junction plakoglobulin (JUP), and POU domain, class 5, transcription factor 1 (octomer-binding transcription factor 3/4) was significantly different between seminomas and embryonal tumors. Hierarchical clustering based on a refined protein expression profile identified two groups, the first consisting solely of seminomas the other of seminomas and embryonal carcinomas. No histomorphologic differences were observed between the two seminoma groups such as the presence or absence of lymphocytes or extent of stromal elements. In summary, using independent methodologies and samples, we have identified two groups of seminomas. One group of seminomas has a molecular profile similar to embryonal carcinoma. The findings in the current study may help explain aberrant immunoprofiles seen with some seminomas.

Amino Acid Transport System y+L↗