Transcriptomics

Dataset Information

39

Identification of novel long non-coding RNAs in prostate cancers


ABSTRACT: Long non-coding RNAs show highly tissue and disease specific expression profiles. We analyzed prostate cancer and normal adjacent prostate samples to identify cancer-specific transcripts and found 334 candidates, of which 15 were validated by RT-PCR. 8 Prostate cancer samples from radical prostatectomies, 12 samples from normal adjacent prostate, 12 samples from lymph node metastasis and 10 samples from transurethral resection of the prostrate were included in this study. These samples contained more than 70% cancer and less than 30% stromal tissue.

ORGANISM(S): Homo sapiens  

SUBMITTER: Guido Jenster  René Böttcher    

PROVIDER: E-GEOD-59745 | ArrayExpress | 2015-03-07

SECONDARY ACCESSION(S): GSE59745PRJNA256097

REPOSITORIES: GEO, ArrayExpress

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Publications

Novel long non-coding RNAs are specific diagnostic and prognostic markers for prostate cancer.

Böttcher René R   Hoogland A Marije AM   Dits Natasja N   Verhoef Esther I EI   Kweldam Charlotte C   Waranecki Piotr P   Bangma Chris H CH   van Leenders Geert J L H GJ   Jenster Guido G  

Oncotarget 20150201 6


Current prostate cancer (PCa) biomarkers such as PSA are not optimal in distinguishing cancer from benign prostate diseases and predicting disease outcome. To discover additional biomarkers, we investigated PCa-specific expression of novel unannotated transcripts. Using the unique probe design of Affymetrix Human Exon Arrays, we identified 334 candidates (EPCATs), of which 15 were validated by RT-PCR. Combined into a diagnostic panel, 11 EPCATs classified 80% of PCa samples correctly, while main  ...[more]

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