Literature DB >> 25480414

The expression and clinical significance of microRNAs in colorectal cancer detecting.

Xiaoyu Yang1, Jiateng Zhong, Yinghua Ji, Jinsong Li, Yu Jian, Jinghang Zhang, Wancai Yang.   

Abstract

MicroRNAs (miRNAs) are small non-coding RNAs which regulate gene expressions post-transcriptionally. Nowadays, various miRNAs have been found to be sensitive and specific biomarkers for the early diagnosis of colorectal cancer (CRC); however, there are different, even conflicting results in different publications concerning the diagnostic accuracy of miRNA. Therefore, we aim to conduct a meta-analysis of the relevant publications to comprehensively evaluate the diagnostic value of miRNAs in CRC detection. Several public databases such as PubMed, Embase, and Google Scholar were retrieved up to July 13, 2014. Sensitivity was applied to plot the summary receiver operator characteristic (SROC) curve against specificity. The area under the SROC curve (AUC) was calculated to assess the classified effects. STATA 12.0 software was used to perform all statistic analyses. A total of 29 articles, including 80 studies, were involved in our meta-analysis, 55 of which focus on single-miRNA assays and the other 25 on multiple-miRNA assays. Our results suggested that multiple-miRNA assays show a better diagnostic accuracy compared with single-miRNA assays. In addition, blood-based miRNA assays were more accurate than feces-based miRNA assays in CRC diagnosis. Our results also showed that miRNA diagnosis appear to be more accurate in Asians than in Caucasians. However, further researches are needed to validate our results and the feasibility of miRNAs as biomarkers in routine clinical diagnosis of CRC.

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Year:  2014        PMID: 25480414     DOI: 10.1007/s13277-014-2890-0

Source DB:  PubMed          Journal:  Tumour Biol        ISSN: 1010-4283


  38 in total

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Journal:  Nat Rev Genet       Date:  2004-07       Impact factor: 53.242

2.  A plasma microRNA panel for detection of colorectal adenomas: a step toward more precise screening for colorectal cancer.

Authors:  Ziad Kanaan; Henry Roberts; M Robert Eichenberger; Adrian Billeter; Gairy Ocheretner; Jianmin Pan; Shesh N Rai; Jeffery Jorden; Anna Williford; Susan Galandiuk
Journal:  Ann Surg       Date:  2013-09       Impact factor: 12.969

3.  Fecal miR-106a is a useful marker for colorectal cancer patients with false-negative results in immunochemical fecal occult blood test.

Authors:  Yoshikatsu Koga; Nobuyoshi Yamazaki; Yoshiyuki Yamamoto; Seiichiro Yamamoto; Norio Saito; Yasuo Kakugawa; Yosuke Otake; Minori Matsumoto; Yasuhiro Matsumura
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2013-08-15       Impact factor: 4.254

4.  Identification of ten serum microRNAs from a genome-wide serum microRNA expression profile as novel noninvasive biomarkers for nonsmall cell lung cancer diagnosis.

Authors:  Xi Chen; Zhibin Hu; Wenjing Wang; Yi Ba; Lijia Ma; Chunni Zhang; Cheng Wang; Zhiji Ren; Yang Zhao; Sijia Wu; Rui Zhuang; Yixin Zhang; Heng Hu; Chazhen Liu; Lin Xu; Jun Wang; Hongbing Shen; Junfeng Zhang; Ke Zen; Chen-Yu Zhang
Journal:  Int J Cancer       Date:  2011-08-03       Impact factor: 7.396

5.  Circulating miR-221 directly amplified from plasma is a potential diagnostic and prognostic marker of colorectal cancer and is correlated with p53 expression.

Authors:  Xing-xiang Pu; Guo-liang Huang; Hong-qiang Guo; Cheng-cheng Guo; Haoran Li; Shen Ye; Suxia Ling; Li Jiang; Ying Tian; Tong-yu Lin
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6.  Plasma microRNAs are promising novel biomarkers for early detection of colorectal cancer.

Authors:  Zhaohui Huang; Dan Huang; Shujuan Ni; Zhilei Peng; Weiqi Sheng; Xiang Du
Journal:  Int J Cancer       Date:  2010-07-01       Impact factor: 7.396

7.  Identification of microRNA-135b in stool as a potential noninvasive biomarker for colorectal cancer and adenoma.

Authors:  Chung Wah Wu; Siew Chien Ng; Yujuan Dong; Linwei Tian; Simon Siu Man Ng; Wing Wa Leung; Wai Tak Law; Tung On Yau; Francis Ka Leung Chan; Joseph Jao Yiu Sung; Jun Yu
Journal:  Clin Cancer Res       Date:  2014-04-01       Impact factor: 12.531

8.  QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies.

Authors:  Penny F Whiting; Anne W S Rutjes; Marie E Westwood; Susan Mallett; Jonathan J Deeks; Johannes B Reitsma; Mariska M G Leeflang; Jonathan A C Sterne; Patrick M M Bossuyt
Journal:  Ann Intern Med       Date:  2011-10-18       Impact factor: 25.391

9.  Analysis of organ-enriched microRNAs in plasma as an approach to development of Universal Screening Test: feasibility study.

Authors:  Kira S Sheinerman; Vladimir G Tsivinsky; Samuil R Umansky
Journal:  J Transl Med       Date:  2013-12-11       Impact factor: 5.531

10.  Potentiality of a triple microRNA classifier: miR-193a-3p, miR-23a and miR-338-5p for early detection of colorectal cancer.

Authors:  Fung Lin Yong; Chee Wei Law; Chee Woon Wang
Journal:  BMC Cancer       Date:  2013-06-08       Impact factor: 4.430

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  9 in total

1.  Genistein inhibits A549 human lung cancer cell proliferation via miR-27a and MET signaling.

Authors:  Yang Yang; Aimin Zang; Youchao Jia; Yanhong Shang; Zhuoqi Zhang; Kun Ge; Jinchao Zhang; Wufang Fan; Bei Wang
Journal:  Oncol Lett       Date:  2016-07-06       Impact factor: 2.967

Review 2.  The clinical role of microRNA-21 as a promising biomarker in the diagnosis and prognosis of colorectal cancer: a systematic review and meta-analysis.

Authors:  Qiliang Peng; Xueli Zhang; Ming Min; Li Zou; Peipei Shen; Yaqun Zhu
Journal:  Oncotarget       Date:  2017-07-04

Review 3.  Colorectal Carcinoma: A General Overview and Future Perspectives in Colorectal Cancer.

Authors:  Inés Mármol; Cristina Sánchez-de-Diego; Alberto Pradilla Dieste; Elena Cerrada; María Jesús Rodriguez Yoldi
Journal:  Int J Mol Sci       Date:  2017-01-19       Impact factor: 5.923

4.  MicroRNA-17 and the prognosis of human carcinomas: a systematic review and meta-analysis.

Authors:  Chengzhi Huang; Mengya Yu; Xueqing Yao
Journal:  BMJ Open       Date:  2018-05-31       Impact factor: 2.692

5.  Serum microRNA signatures and metabolomics have high diagnostic value in colorectal cancer using two novel methods.

Authors:  Hai-Ning Liu; Tao-Tao Liu; Hao Wu; Yan-Jie Chen; Yu-Jen Tseng; Can Yao; Shu-Qiang Weng; Ling Dong; Xi-Zhong Shen
Journal:  Cancer Sci       Date:  2018-02-26       Impact factor: 6.716

6.  Diagnostic Value of Combinatorial Markers in Colorectal Carcinoma.

Authors:  Veronika Voronova; Peter Glybochko; Andrey Svistunov; Viktor Fomin; Philipp Kopylov; Peter Tzarkov; Alexey Egorov; Evgenij Gitel; Aligeydar Ragimov; Alexander Boroda; Elena Poddubskaya; Marina Sekacheva
Journal:  Front Oncol       Date:  2020-05-22       Impact factor: 6.244

7.  Host-derived fecal microRNAs can indicate gut microbiota healthiness and ability to induce inflammation.

Authors:  Emilie Viennois; Benoit Chassaing; Anika Tahsin; Adani Pujada; Lixin Wang; Andrew T Gewirtz; Didier Merlin
Journal:  Theranostics       Date:  2019-06-09       Impact factor: 11.556

Review 8.  Regulatory Roles of Non-Coding RNAs in Colorectal Cancer.

Authors:  Jun Wang; Yong-Xi Song; Bin Ma; Jia-Jun Wang; Jing-Xu Sun; Xiao-Wan Chen; Jun-Hua Zhao; Yu-Chong Yang; Zhen-Ning Wang
Journal:  Int J Mol Sci       Date:  2015-08-21       Impact factor: 5.923

9.  Signature miRNAs in colorectal cancers were revealed using a bias reduction small RNA deep sequencing protocol.

Authors:  Guihua Sun; Ya-Wen Cheng; Lily Lai; Tsui-Chin Huang; Jinhui Wang; Xiwei Wu; Yafan Wang; Yasheng Huang; Jinghan Wang; Keqiang Zhang; Shuya Hu; Ji-Rui Yang; Yun Yen
Journal:  Oncotarget       Date:  2016-01-26
  9 in total

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