Literature DB >> 25738263

Identification and validation of reference genes for the detection of serum microRNAs by reverse transcription-quantitative polymerase chain reaction in patients with bladder cancer.

Lishui Wang1, Yimin Liu1, Lutao Du1, Juan Li1, Xiumei Jiang1, Guixi Zheng1, Ailin Qu1, Haiyan Wang1, Lili Wang1, Xin Zhang1, Hui Liu1, Hongwei Pan1, Yongmei Yang1, Chuanxin Wang1.   

Abstract

Serum microRNAs (miRNAs) have been proposed as novel non-invasive biomarkers for the early detection of cancer. Reverse transcription-quantitative polymerase chain reaction (RT-qPCR) is the most commonly used method for investigating miRNA expression levels, however, the interpretation of RT-qPCR results depends largely on normalization to an appropriate endogenous control. The present study involved 129 patients with non-muscle-invasive bladder cancer (NMIBC), 121 patients with muscle-invasive bladder cancer (MIBC) and 158 healthy controls. The aim of the present study was to determine the most stable reference genes for the investigations of serum miRNA in bladder cancer (BC). MiSeq sequencing was performed and the expression levels of 10 miRNAs and U6 were then measured using RT-qPCR. Following RT‑qPCR, five genes (hsa-miR-193a-5p, hsa-miR-16-5p, U6, hsa-miR-191-5p and hsa-let-7d-3p) were selected for stability analysis using geNorm and NormFinder software. These algorithms identified hsa-miR-193a-5p and hsa-miR-16-5p as the most stably expressed reference genes. The availability of hsa-miR-193a-5p and hsa-miR-16-5p was confirmed in an additional cohort. One-way analysis of variance indicated that no significant differences were present in the expression levels among the three groups. Furthermore, miR-148b-3p was selected as a target miRNA to determine the effect of hsa-miR-193a-5p and hsa-miR-16-5p on miRNA quantification. The combined use of hsa-miR-193a-5p and hsa-miR-16-5p enabled the detection of a significant upregulation of miR-148b-3p in the BC serum. The results of the present study demonstrated that normalization of miRNA data, using a combination of hsa-miR-193a-5p and hsa-miR-16-5p as reference genes, may produce reliable and accurate results for the detection of serum miRNAs in BC.

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Year:  2015        PMID: 25738263     DOI: 10.3892/mmr.2015.3428

Source DB:  PubMed          Journal:  Mol Med Rep        ISSN: 1791-2997            Impact factor:   2.952


  20 in total

Review 1.  Data Normalization Strategies for MicroRNA Quantification.

Authors:  Heidi Schwarzenbach; Andreia Machado da Silva; George Calin; Klaus Pantel
Journal:  Clin Chem       Date:  2015-09-25       Impact factor: 8.327

2.  A Physically Active Status Affects the Circulating Profile of Cancer-Associated miRNAs.

Authors:  Martina Faraldi; Laura Gerosa; Marta Gomarasca; Veronica Sansoni; Silvia Perego; Ewa Ziemann; Giuseppe Banfi; Giovanni Lombardi
Journal:  Diagnostics (Basel)       Date:  2021-04-30

3.  Serum microRNA expression signatures as novel noninvasive biomarkers for prediction and prognosis of muscle-invasive bladder cancer.

Authors:  Xiumei Jiang; Lutao Du; Weili Duan; Rui Wang; Keqiang Yan; Lili Wang; Juan Li; Guixi Zheng; Xin Zhang; Yongmei Yang; Chuanxin Wang
Journal:  Oncotarget       Date:  2016-06-14

4.  Cell-free microRNA expression signatures in urine serve as novel noninvasive biomarkers for diagnosis and recurrence prediction of bladder cancer.

Authors:  Lutao Du; Xiumei Jiang; Weili Duan; Rui Wang; Lishui Wang; Guixi Zheng; Keqiang Yan; Lili Wang; Juan Li; Xin Zhang; Hongwei Pan; Yongmei Yang; Chuanxin Wang
Journal:  Oncotarget       Date:  2017-06-20

5.  Serum miR-210 Contributes to Tumor Detection, Stage Prediction and Dynamic Surveillance in Patients with Bladder Cancer.

Authors:  Yongmei Yang; Ailin Qu; Jingkang Liu; Rui Wang; Yingjie Liu; Gang Li; Weili Duan; Qian Fang; Xiumei Jiang; Lili Wang; Guixi Zheng; Lutao Du; Xin Zhang; Chuanxin Wang
Journal:  PLoS One       Date:  2015-08-07       Impact factor: 3.240

6.  Serum miR-122-5p and miR-206 expression: non-invasive prognostic biomarkers for renal cell carcinoma.

Authors:  Frauke G Heinemann; Yuri Tolkach; Mario Deng; Doris Schmidt; Sven Perner; Glen Kristiansen; Stefan C Müller; Jörg Ellinger
Journal:  Clin Epigenetics       Date:  2018-01-23       Impact factor: 6.551

7.  Identification of valid reference genes for mRNA and microRNA normalisation in prostate cancer cell lines.

Authors:  Hui Zhao; Teng-Fei Ma; Jie Lin; Lin-Lin Liu; Wei-Jie Sun; Li-Xia Guo; Si-Qi Wang; Newton O Otecko; Ya-Ping Zhang
Journal:  Sci Rep       Date:  2018-01-31       Impact factor: 4.379

Review 8.  Human salivary microRNAs in Cancer.

Authors:  Óscar Rapado-González; Blanca Majem; Laura Muinelo-Romay; Ana Álvarez-Castro; Anna Santamaría; Antonio Gil-Moreno; Rafael López-López; María Mercedes Suárez-Cunqueiro
Journal:  J Cancer       Date:  2018-01-06       Impact factor: 4.207

9.  A polymorphism rs3746444 within the pre-miR-499 alters the maturation of miR-499-5p and its antiapoptotic function.

Authors:  Wei Ding; Mengyang Li; Teng Sun; Di Han; Xiaoci Guo; Xiao Chen; Qinggong Wan; Xuejuan Zhang; Jianxun Wang
Journal:  J Cell Mol Med       Date:  2018-08-13       Impact factor: 5.310

Review 10.  Human Circulating miRNAs Real-time qRT-PCR-based Analysis: An Overview of Endogenous Reference Genes Used for Data Normalization.

Authors:  Simone Donati; Simone Ciuffi; Maria L Brandi
Journal:  Int J Mol Sci       Date:  2019-09-05       Impact factor: 5.923

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