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Gene expression sensitivity at detecting cancer in prostate core biopsies [Expression Profiles]

ABSTRACT: The aim of this study was to analyze critically the potential usefulness of selected RNA biomarkers in supporting conventional histological diagnostic tests for PCa. The selection of potential biomarkers was conducted by microarray profiling of gene expression on prostate tissues extracted from the gland after total radical prostatectomy.

ORGANISM(S): Homo sapiens

PROVIDER: GSE55597 | GEO | 2014/07/01

SECONDARY ACCESSION(S): PRJNA240204

REPOSITORIES: GEO

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DNA methylation sensitivity at detecting cancer in prostate core biopsies [DNA Methylation Profiles]

2014-07-01 | GSE55598 | GEO

Gene expression sensitivity at detecting cancer in prostate core biopsies [Expression Profiles]

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2014-07-01 | E-GEOD-55597 | biostudies-arrayexpress

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Project description:Prostate cancer (PCa) is the most common malignant carcinoma that develops in men in Western countries. Up to 30% of patients continue to suffer from disease progression following radical prostatectomy. Therefore, better prognostic markers and molecular targets for cancer treatment are needed. MicroRNA (miRNA) has the potential to be used as biomarkers and as a therapeutic target for the treatment of various cancers, including PCa. Here, to determine how miRNA is involved in PCa progression, we investigated the miRNA expression profiles of 3 PCa cell lines, namely PC3, DU145, and LNCaP, and 2 normal prostate cell lines, namely RWPE-1 and PrSc, using miRNA microarrays. We investigated miRNA genes that were significantly upregulated in PCa cell lines (PC3, DU145, LNCaP) compared with normal cell lines (RWPE-1, PrSc).

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Project description:We profiled genome-wide gene expression of human prostate benign and malignant tissue to identify potential biomarkers and immunotherapy targets. We stratified malignant specimens according to their TMPRSS2:ERG gene fusion status. Radical prostatectomy tissue samples were obtained from the Hershey Foundation Prostate Cancer Serum and Tumor Bank at our institution. Morphologic diagnosis was done by a pathologist. OCT blocks containing >30% of PCa tissue (with Gleason score of 6 or 7) were selected for RNA purification. A biopsy punch was used to select the PCa tissues from the OCT sample blocks. Benign or PCa tissues were homogenized using a TissueLyser (Qiagen) at 28 Hz for 5 min. Total RNA was isolated using Trizol reagent. RNA was quantified by NanoDrop ND-1000 spectrophotometer, and quality was evaluated with Agilent RNA 6000 NanoChip and the 2100 Bioanalyzer, with 28S/18S ratios and RIN determined by 2100 Expert software.

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