Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0

Modeling lethal prostate cancer variant with small cell carcinoma features [genomic profile]


ABSTRACT: Purpose: Small-cell prostate carcinoma (SCPC) morphology predicts for a distinct clinical behavior, resistance to androgen ablation, and frequent but short responses to chemotherapy. The model systems we report reflect the biology of the human disease and can be used to improve our understanding of SCPC and to develop new therapeutic strategies for it. Experimental Design: We developed a set of CRPC xenografts and examined their fidelity to their human tumors of origin. We compared the expression and genomic profiles of SCPC and large cell neuroendocrine carcinoma (LCNEC) xenografts to those of typical prostate adenocarcinoma xenografts and used a panel of 60 human tumors to validate our findings using immunohistochemistry. Results: We show that SCPC and LCNEC xenograft models retain high fidelity to their human tumors of origin and are characterized by a marked upregulation of UBE2C and other M-phase cell cycle genes in the absence of AR, retinoblastoma (RB1) and cyclin D1 (CCND1) expression and confirm these findings in a panel of CRPC patients’ samples. In addition, array comparative genomic hybridization of the xenografts showed that the SCPC/LCNEC tumors display more copy number variations than the adenocarcinoma counterparts and that there is amplification of the UBE2C locus and microdeletions of RB1 in a subset of these, but no AR nor CCND1 deletions. Moreover, the AR, RB1, and CCND1 promoters showed no CpG methylation in the SCPC xenografts. Conclusion: Modeling human prostate cancer with xenografts allows in-depth and detailed studies of its underlying biology. The detailed clinical annotation of the donor tumors enables associations of anticipated relevance to be made. Futures studies in the xenografts will address the functional significance of the findings. Total of 6 samples

ORGANISM(S): Homo sapiens

SUBMITTER: Jiexin Zhang 

PROVIDER: E-GEOD-33053 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

Similar Datasets

2012-01-01 | E-GEOD-32967 | biostudies-arrayexpress
2012-01-01 | GSE33053 | GEO
2012-01-01 | GSE32967 | GEO
2012-03-17 | E-GEOD-36549 | biostudies-arrayexpress
2012-03-17 | GSE36549 | GEO
2011-12-06 | E-GEOD-34174 | biostudies-arrayexpress
2011-12-06 | GSE34174 | GEO
2015-01-01 | GSE55345 | GEO
2015-06-24 | E-GEOD-66187 | biostudies-arrayexpress
2023-10-11 | MTBLS8034 | MetaboLights