Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Long noncoding RNA as putative biomarkers for protstate cancer detection [Set 1]

ABSTRACT: To identify which lncRNAs are differentially expressed in prostate cancer, total RNA from prostate cancer cell line, PC3, and normal epithelial prostatic cells were screened using NCode (Life Technologies) . The NCode microarray is designed to interrogate 12,784 lncRNAs and 25,409 mRNA target protein-coding genes. Gene expression in prostate epithelial cells and PC3 was measured. Three independent experiments (biological replicates) were performed.

ORGANISM(S): Homo sapiens

SUBMITTER: Jian-Liang Li

PROVIDER: E-GEOD-55908 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Long noncoding RNAs as putative biomarkers for prostate cancer detection.

Lee Bongyong B Mazar Joseph J Aftab Muhammad N MN Qi Feng F Shelley John J Li Jian-Liang JL Govindarajan Subramaniam S Valerio Felipe F Rivera Inoel I Thurn Tadzia T Tran Tien Anh TA Kameh Darian D Patel Vipul V Perera Ranjan J RJ

The Journal of molecular diagnostics : JMD 20141101 6

Prostate cancer is one of the leading causes of mortality among US males. There is an urgent unmet need to develop sensitive and specific biomarkers for the early detection of prostate cancer to reduce overtreatment and accompanying morbidity. We identified a group of differentially expressed long noncoding RNAs in prostate cancer cell lines and patient samples and further characterized six long noncoding RNAs (AK024556, XLOC_007697, LOC100287482, XLOC_005327, XLOC_008559, and XLOC_009911) in pr ...[more]

PMID: 25307116

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Project description:Malignant Pleural Mesothelioma (MPM) is an aggressive cancer that is often diagnosed at an advanced stage and is characterized by a long latency period (20-40 years between initial exposure and diagnosis) and prior exposure to asbestos. Currently accurate diagnosis of MPM is difficult due to the lack of sensitive biomarkers, and despite minor improvements in treatment, median survival rates do not exceed 12 months. Accumulating evidence suggests that aberrant expression of long non-coding RNAs (lncRNAs) play an important functional role in cancer biology. LncRNAs are a class of recently discovered non-protein coding RNAs >200 nucleotides in length with a role in regulating transcription. Here we used NCode long noncoding microarrays to identify differentially expressed lncRNAs potentially involved in MPM pathogenesis. High priority candidate lncRNAs were selected on the basis of statistical (P<0.05) and biological significance (>3-fold difference). Expression levels of 9 candidate lncRNAs were technically validated using RT-qPCR, and biologically validated in three independent test sets: (1) 57 archived MPM tissues obtained from extrapleural pneumonectomy patients, (2) 15 cryopreserved MPM and 3 benign pleura, and (3) an extended panel of 10 MPM cell lines. RT-qPCR analysis demonstrated consistent up-regulation of these lncRNAs in independent datasets. ROC curve analysis showed that two candidates were able to separate benign pleura and MPM with high sensitivity and specificity, and were associated with nodal metastases and survival following induction chemotherapy. These results suggest that lncRNAs have potential to serve as biomarkers in MPM. To identify mRNA and lncRNA biomarkers associated with malignant pleural mesothelioma (MPM), we performed gene expression array analysis on 4 MPM cell lines (H28, MM05, MSTO-211H, H226) compared to the immortalised mesothelial line (MeT-5A). All cell lines were profiled in duplicate. Synthesis of the labelled first strand cDNA was conducted using the Superscript Plus Direct cDNA labeling system with starting material of 10ug total RNA. The labeled dNTP mix was added to the reaction to generate labeled second strand cDNA. Following the hydrolysis reaction, single-stranded cDNA was purified using low elution volume spin cartridges included in the purification module. Samples were labelled using Alexa Fluor 555 dyes. Samples were then hybridised to NCode Long Noncoding RNA Microarrays. Slides were scanned using an Agilent Scanner. Genes differentially expressed between Met-5A and the MPM cell lines were identified on the basis of P-value and fold change.

Dataset Information

Long noncoding RNA as putative biomarkers for protstate cancer detection [Set 1]

Publications

Long noncoding RNAs as putative biomarkers for prostate cancer detection.

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