Early Detection Research Network

Prostate

No additional prostate data available.
http://edrn.jpl.nasa.gov/bmdb/biomarkers/organs/640/564
Under Review
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19 common probe sets (15 unique genes) were used to develop a PAM-based classifier, which had an average accuracy of 87% when it was tested on 47 independent tumor-adjacent stroma samples. The 15 genes represented in the classifier are: GADD45B, CDKN1A, NLRP1, ERBB3, FMO5, KIAA0746///SERINC2, AMFR, DPP4, PGC, YWHAE, EHF, TF, TNFSF10, EIF5A, TGM4. This is the first general tumor microenvironment-based prognostic classifier. Tumor-adjacent prostate cancer stroma contains numerous changes in gene expression at the time of diagnosis that correlate with the chance of relapse following prostatectomy. These results indicate that the prostate cancer microenvironment exhibits reproducible changes useful for predicting outcomes for patients.
106c60921c0444fba1870a32b058a62d
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