Long non-coding RNA metastasis associated in lung adenocarcinoma transcript 1 derived miniRNA as a novel plasma-based biomarker for diagnosing prostate cancer.
Abstract: Examining plasma RNA is an emerging non-invasive diagnosis technique. However, whether tumour-derived long non-coding RNAs (lncRNAs) in plasma can be used as a novel approach to detect human prostate cancer (PCa) has not yet been established. The study was divided into three parts: (1) the...
| Publicado en: | European Journal of Cancer Vol. 49; no. 13; pp. 2949 - 2960 |
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| Autores principales: | , , , , , , , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Pergamon Press - An Imprint of Elsevier Science
Sep2013
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104203159&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104203159 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09598049 1VW jtl: European Journal of Cancer issn: 09598049 maglogo: N pubinfo: dt: Sep2013 vid: 49 iid: 13 pid: 2410 pub: Pergamon Press - An Imprint of Elsevier Science artinfo: ui: 104203159 89488789 10.1016/j.ejca.2013.04.026 NLM23726266 104203159 ppf: 2949 ppct: 11 formats: tig: atl: Long non-coding RNA metastasis associated in lung adenocarcinoma transcript 1 derived miniRNA as a novel plasma-based biomarker for diagnosing prostate cancer. aug: au: Ren, Shancheng Wang, Fubo Shen, Jian Sun, Yi Xu, Weidong Lu, Ji Wei, Min Xu, Chuanliang Wu, Chengyao Zhang, Zhensheng Gao, Xu Liu, Zhiyong Hou, Jianguo Huang, Jiaoti Sun, Yinghao affil: Department of Urology, Shanghai Changhai Hospital, Second Military Medical University, Shanghai, China sug: subj: Adenocarcinoma Lung Neoplasms Complications Neoplasm Metastasis Analysis Biological Markers Analysis Prostatic Neoplasms Diagnosis RNA Analysis Human Male Descriptive Statistics ROC Curve Gene Expression P-Value Sensitivity and Specificity Male ab: Abstract: Examining plasma RNA is an emerging non-invasive diagnosis technique. However, whether tumour-derived long non-coding RNAs (lncRNAs) in plasma can be used as a novel approach to detect human prostate cancer (PCa) has not yet been established. The study was divided into three parts: (1) the characteristics of PCa-related lncRNA fragments were systematically studied in the plasma or serum of 25 patients; (2) the source of the circulating lncRNA fragments was explored in vitro and in vivo; and (3) the diagnostic performance of metastasis associated in lung adenocarcinoma transcript 1 (MALAT-1) derived (MD) miniRNA was validated in an independent cohort of 192 patients. The expression levels of lncRNAs were measured by quantitative real time polymerase chain reaction (qRT-PCR). The MD-miniRNA copies were calculated using a standard curve in an area under the ROC curve (AUC)-receiver operating characteristic (ROC) analysis. Genome-wide profiling revealed that MALAT-1 and prostate cancer gene 3 (PCA3) are overexpressed in PCa tissues. Plasma lncRNAs probably exist in the form of fragments in a stable form. MD-miniRNA enters cell culture medium at measurable levels, and MD-miniRNA derived from human PCa xenografts actually enters the circulation in vivo and can be measured to distinguish xenografted mice from controls. In addition, plasma MD-miniRNA levels are significantly elevated in PCa patients compared to non-PCa patients (p <0.001). At a cut-off of 867.8 MD-miniRNA copies per microlitre of plasma, the sensitivity is 58.6%, 58.6% and 43.5% and the specificity is 84.8%, 84.8% and 81.6% for discriminating PCa from non-PCa, positive biopsy from negative biopsy and positive biopsy from negative biopsy, respectively. We conclude that MD-miniRNA can be used as a novel plasma-based biomarker for PCa detection and can improve diagnostic accuracy by predicting prostate biopsy outcomes. Further large-scale studies are needed to confirm our findings. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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