Circulating microRNAs as potential new biomarkers for prostate cancer

Sita‐Lumsden, Ailsa; Dart, Dafydd Alwyn; Waxman, Jonathan; Bevan, Charlotte L.

doi:10.1038/bjc.2013.192

Cited by 135 publications

(140 citation statements)

References 32 publications

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“…Following the initial demonstration that elevated serum levels of miRNA-21 were associated with relapse-free survival of diffuse large B-cell lymphoma patients (13), several circulating miRNAs were identified as potential diagnostic and prognostic biomarkers for various types of cancer, including nasopharyngeal carcinoma (14) and glioma (15), as well as breast (6,16,17), gastric (18,19), prostate (20,21), pancreatic (22) and colorectal cancer (23). As a tumor screening marker, circulating miRNAs have several advantages, including the availability of serum samples and their stability during storage relative to that of tissue samples.…”

Section: Introductionmentioning

confidence: 99%

MicroRNA screening identifies circulating microRNAs as potential biomarkers for osteosarcoma

Li¹,

Zhang²,

Liu³

et al. 2015

Oncology Letters

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Abstract. MicroRNAs (miRNAs) are a family of small non-protein coding RNAs, which regulate the expression of a wide variety of genes at the post-transcriptional level to control numerous biological and pathological processes. Various circulating miRNAs have been identified as potential diagnostic and prognostic biomarkers in multiple types of cancer and disease. The aim of the present study was to identify potential miRNA biomarkers for the early diagnosis and relapse prediction of osteosarcoma (OS). miRNA profiling was performed on serum from patients with osteosarcoma and healthy controls. All putative miRNAs were verified by reverse transcription-quantitative polymerase chain reaction analysis of 20 pre-therapeutic OS patients and 20 healthy individuals. The expression of miR-106a-5p, miR16-5p, miR-20a-5p, miR-425-5p, miR451a, miR-25-3p and miR139-5p was demonstrated to be downregulated in the serum of OS patients when compared with that of the healthy controls. Receiver-operating characteristic curve analyses indicated that these 7 miRNAs may be used as diagnostic biomarkers with the ability to discriminate between the healthy cohort and patients with OS. These results provide novel insights into the use of miRNAs in early blood screening for OS.

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Section: Introductionmentioning

confidence: 99%

MicroRNA screening identifies circulating microRNAs as potential biomarkers for osteosarcoma

Li¹,

Zhang²,

Liu³

et al. 2015

Oncology Letters

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“…[39][40][41][42][43] miRNAs hold considerable promise to be exploited as highly accurate and functional prognostic serum markers of CaP stages and drug responses. 27,[44][45][46][47][48][49][50][51][52][53][54] They can encapsulate events within the tumor microenvironment, thereby overcoming the limitations of sampling error at biopsy. In parallel, it has become apparent that changes in miRNA regulation in tumors is translated to altered serum expression patterns and, therefore, offers an important diagnostic and prognostic therapeutic window.…”

Section: Introductionmentioning

confidence: 99%

VDR regulation of microRNA differs across prostate cell models suggesting extremely flexible control of transcription

et al. 2015

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The Vitamin D Receptor (VDR) is a member of the nuclear receptor superfamily and is of therapeutic interest in cancer and other settings. Regulation of microRNA (miRNA) by the VDR appears to be important to mediate its actions, for example, to control cell growth. To identify if and to what extent VDR-regulated miRNA patterns change in prostate cancer progression, we undertook miRNA microarray analyses in 7 cell models representing non-malignant and malignant prostate cells (RWPE-1, RWPE-2, HPr1, HPr1AR, LNCaP, LNCaP-C4-2, and PC-3). To focus on primary VDR regulatory events, we undertook expression analyses after 30 minutes treatment with 1a,25(OH) 2 D 3 . Across all models, 111 miRNAs were significantly modulated by 1a,25(OH) 2 D 3 treatment. Of these, only 5 miRNAs were modulated in more than one cell model, and of these, only 3 miRNAs were modulated in the same direction. The patterns of miRNA regulation, and the networks they targeted, significantly distinguished the different cell types. Integration of 1a,25 (OH) 2 D 3 -regulated miRNAs with published VDR ChIP-seq data showed significant enrichment of VDR peaks in flanking regions of miRNAs. Furthermore, mRNA and miRNA expression analyses in non-malignant RWPE-1 cells revealed patterns of miRNA and mRNA co-regulation; specifically, 13 significant reciprocal patterns were identified and these patterns were also observed in TCGA prostate cancer data. Lastly, motif search analysis revealed differential motif enrichment within VDR peaks flanking mRNA compared to miRNA genes. Together, this study revealed that miRNAs are rapidly regulated in a highly cell-type specific manner, and are significantly co-integrated with mRNA regulation.

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“…Increasing studies have shown that miRNAs play a vital role in various biological processes which are essential for human life, including cell proliferation, differentiation, ageing and apoptosis 2, 3, 4, 5. In the meanwhile, evidence have demonstrated that miRNAs are related with a number of common neoplasms, such as breast neoplasms,6 lung neoplasms7 and prostate neoplasms 8. Therefore, the research on prediction of potential associations between miRNAs and diseases provides new opportunities to study the molecular mechanisms of diseases.…”

Section: Introductionmentioning

confidence: 99%

SNMDA: A novel method for predicting microRNA‐disease associations based on sparse neighbourhood

Zhang

Liang

et al. 2018

J Cellular Molecular Medi

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AbstractmiRNAs are a class of small noncoding RNAs that are associated with a variety of complex biological processes. Increasing studies have shown that miRNAs have close relationships with many human diseases. The prediction of the associations between miRNAs and diseases has thus become a hot topic. Although traditional experimental methods are reliable, they could only identify a limited number of associations as they are time‐consuming and expensive. Consequently, great efforts have been made to effectively predict reliable disease‐related miRNAs based on computational methods. In this study, we present a novel approach to predict the potential microRNA‐disease associations based on sparse neighbourhood. Specifically, our method takes advantage of the sparsity of the miRNA‐disease association network and integrates the sparse information into the current similarity matrices for both miRNAs and diseases. To demonstrate the utility of our method, we applied global LOOCV, local LOOCV and five‐fold cross‐validation to evaluate our method, respectively. The corresponding AUCs are 0.936, 0.882 and 0.934. Three types of case studies on five common diseases further confirm the performance of our method in predicting unknown miRNA‐disease associations. Overall, results show that SNMDA can predict the potential associations between miRNAs and diseases effectively.

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Circulating microRNAs as potential new biomarkers for prostate cancer

Cited by 135 publications

References 32 publications

MicroRNA screening identifies circulating microRNAs as potential biomarkers for osteosarcoma

MicroRNA screening identifies circulating microRNAs as potential biomarkers for osteosarcoma

VDR regulation of microRNA differs across prostate cell models suggesting extremely flexible control of transcription

SNMDA: A novel method for predicting microRNA‐disease associations based on sparse neighbourhood

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