Dataset Information

Overexpression of the Long Non-coding RNA SChLAP1 Independently Predicts Lethal Prostate Cancer.

ABSTRACT: The long noncoding RNA SChLAP1 is overexpressed in a subset of prostate cancers (PCa), and high SChLAP1 expression by in situ hybridization (ISH) independently predicts biochemical recurrence after radical prostatectomy. Importantly, although biochemical recurrence is a significant clinical outcome, it is not a validated surrogate for PCa-related mortality. Thus, we evaluated the association between SChLAP1 expression and development of lethal PCa in a large cohort of American men with PCa and long-term follow-up. SChLAP1 ISH was performed on tissue microarrays containing representative formalin-fixed, paraffin-embedded PCa tissue from all patients and scored using a semiquantitative method (ISH score range 0-400). Hazard ratios (HRs) for the association between SChLAP1 expression and time to development of lethal PCa were estimated using multivariable Cox regression analysis. Of the 937 patients evaluated, 89 (9.5%) had high SChLAP1 expression (ISH score ?100), which in patients treated with radical prostatectomy was strongly associated with development of lethal PCa independent of age, Gleason score, pathologic stage, and PTEN status (HR 2.2, 95% confidence interval 1.1-4.1). These results suggest that SChLAP1 may be a useful tissue-based biomarker for identifying PCa patients at higher risk of lethal progression.We examined expression of the RNA molecule SChLAP1 in a large group of prostate cancer patients with long-term follow-up and found that patients with high SChLAP1 expression had a significantly higher chance of developing lethal disease.

SUBMITTER: Mehra R

PROVIDER: S-EPMC4919276 | biostudies-literature | 2016 Oct

REPOSITORIES: biostudies-literature

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Overexpression of the Long Non-coding RNA SChLAP1 Independently Predicts Lethal Prostate Cancer.

Mehra Rohit R Udager Aaron M AM Ahearn Thomas U TU Cao Xuhong X Feng Felix Y FY Loda Massimo M Petimar Joshua S JS Kantoff Philip P Mucci Lorelei A LA Chinnaiyan Arul M AM

European urology 20151224 4

The long noncoding RNA SChLAP1 is overexpressed in a subset of prostate cancers (PCa), and high SChLAP1 expression by in situ hybridization (ISH) independently predicts biochemical recurrence after radical prostatectomy. Importantly, although biochemical recurrence is a significant clinical outcome, it is not a validated surrogate for PCa-related mortality. Thus, we evaluated the association between SChLAP1 expression and development of lethal PCa in a large cohort of American men with PCa and l ...[more]

PMID: 26724257

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Project description:PurposeColon adenocarcinoma (COAD) is the most common type of colorectal cancer (CRC) and is associated with poor prognosis. Emerging evidence has demonstrated that glycosylation by long noncoding RNAs (lncRNAs) was associated with COAD progression. To date, however, the prognostic values of glycosyltransferase (GT)-related lncRNAs in COAD are still largely unknown.MethodsWe obtained the expression matrix of mRNAs and lncRNAs in COAD from The Cancer Genome Atlas (TCGA) database. Then, the univariate Cox regression analysis was conducted to identify 33 prognostic GT-related lncRNAs. Subsequently, LASSO and multivariate Cox regression analysis were performed, and 7 of 33 GT-related lncRNAs were selected to conduct a risk model. Gene set enrichment analysis (GSEA) was used to analyze gene signaling pathway enrichment of the risk model. ImmuCellAI, an online tool for estimating the abundance of immune cells, and correlation analysis were used to explore the tumor-infiltrating immune cells in COAD. Finally, the expression levels of seven lncRNAs were detected in colorectal cancer cell lines by reverse transcription-quantitative polymerase chain reaction (RT-qPCR).ResultsA total of 1,140 GT-related lncRNAs were identified, and 7 COAD-specific GT-related lncRNAs (LINC02381, MIR210HG, AC009237.14, AC105219.1, ZEB1-AS1, AC002310.1, and AC020558.2) were selected to conduct a risk model. Patients were divided into high- and low-risk groups based on the median of risk score. The prognosis of the high-risk group was worse than that of the low-risk group, indicating the good reliability and specificity of our risk model. Additionally, a nomogram based on the risk score and clinical traits was built to help clinical decisions. GSEA showed that the risk model was significantly enriched in metabolism-related pathways. Immune infiltration analysis revealed that five types of immune cells were significantly different between groups, and two types of immune cells were negatively correlated with the risk score. Besides, we found that the expression levels of these seven lncRNAs in tumor cells were significantly higher than those in normal cells, which verified the feasibility of the risk model.ConclusionThe efficient risk model based on seven GT-related lncRNAs has prognostic potential for COAD, which may be novel biomarkers and therapeutic targets for COAD patients.

Project description:Long non-coding RNAs (lncRNAs) are important biological factors that contribute to the initiation and progression of different types of cancer, including gastric, bladder and colorectal cancer. Small nucleolar RNA host gene 3 (SNHG3) has been implicated in prostate cancer (PCa) progression. However, the expression pattern and function of SNHG3 in PCa remain unclear, impeding the development of novel treatment strategies for this cancer. The present study aimed to investigate a combination of molecular and biochemical approaches to determine the role of SNHG3 in patients at different stages of disease, and elucidate the pathway by which SNHG3 affects PCa progression. A Cell Counting Kit-8 assay was used to assess cell proliferation. Transwell assays were used to analyze cell migration and invasion. Reverse transcription-quantitative PCR and western blotting were used to evaluate the expression levels of RNAs and proteins, respectively. The results demonstrated that SNHG3 expression was upregulated in PCa tissues downloaded from The Cancer Genome Atlas database, which was associated with poor prognosis. Furthermore, cell proliferation, migration and invasion were significantly inhibited following SNHG3 knockdown in vitro, the effects of which were reversed following overexpression of SNHG3 in PCa cells. Bioinformatic analysis revealed that microRNA (miRNA/miR)-1827 was a downstream target of SNHG3. The direct interaction between SNHG3 and miR-1827 was validated via the dual-luciferase reporter and RNA immunoprecipitation assays. Pearson's correlation analysis demonstrated that SNHG3 expression was negatively correlated with miR-1827 expression at different stages of PCa. Furthermore, rescue assays indicated that cotransfection with small interfering-SNHG3 and miR-1827 inhibitor reversed the effects of SNHG3 knockdown on cell proliferation, migration and invasion. In addition, SNHG3 knockdown in vivo suppressed tumor growth. Notably, lncRNA SNHG3 promoted PCa progression through miR-1827 via the Wnt/AKT/mTOR pathway. Taken together, the results of the present study suggest that SNHG3 promotes PCa progression by sponging miR-1827, indicating that SNHG3 may be a promising diagnostic and therapeutic target of PCa.

Dataset Information

Overexpression of the Long Non-coding RNA SChLAP1 Independently Predicts Lethal Prostate Cancer.

Publications

Overexpression of the Long Non-coding RNA SChLAP1 Independently Predicts Lethal Prostate Cancer.

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