Literature DB >> 24237355

miR-429 identified by dynamic transcriptome analysis is a new candidate biomarker for colorectal cancer prognosis.

Yingnan Sun1, Shourong Shen, Hailin Tang, Juanjuan Xiang, Ya Peng, Anliu Tang, Nan Li, Weiwei Zhou, Zeyou Wang, Decai Zhang, Bo Xiang, Jie Ge, Guiyuan Li, Minghua Wu, Xiayu Li.   

Abstract

Colorectal cancer (CRC) is a common malignant gastrointestinal cancer. Efforts for preventive and personalized medicine have intensified in the last decade with attention to novel forms of biomarkers. In the present study, microRNA and genetic analyses were performed in tandem for differential transcriptome profiling between primary tumors with or without nodes or distant metastases. Serial Test Cluster (STC) analysis demonstrated that 20 genes and two microRNAs showed distinctive expression patterns associated with the tumor, node, and metastasis (TNM) stage. The selected target genes were characterized by GO and Pathway analysis. A microRNA-target gene network analysis showed that miR-429 resided in the center of the network, indicating that miR-429 might serve important roles in the development of CRC. Real-time PCR and tissue microarrays showed that miR-429 had a dynamic expression pattern during the CRC progression stage, and was significantly downregulated in stage II and stage III clinical progression. The low expression of miR-429 was correlated with poor prognosis for CRC. Taken together, miR-429 warrant further clinical translation research as a candidate biomarker for CRC prognosis. Additional downstream targets and attendant gene function also need to be discerned to design a sound critical path to personalized medicine for persons susceptible to, or diagnosed with CRC.

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Year:  2013        PMID: 24237355      PMCID: PMC3903170          DOI: 10.1089/omi.2012.0132

Source DB:  PubMed          Journal:  OMICS        ISSN: 1536-2310


  43 in total

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Journal:  Nat Rev Genet       Date:  2011-11-18       Impact factor: 53.242

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Authors:  Chen Huang; Hailin Tang; Wenling Zhang; Xiaoling She; Qianjin Liao; Xiaoling Li; Minghua Wu; Guiyuan Li
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2011-11-08       Impact factor: 4.254

3.  Dynamic activation of the key pathways: linking colitis to colorectal cancer in a mouse model.

Authors:  Anliu Tang; Nan Li; Xiayu Li; Hongyuan Yang; Wei Wang; Liyang Zhang; Guiyuan Li; Wei Xiong; Jian Ma; Shourong Shen
Journal:  Carcinogenesis       Date:  2012-05-19       Impact factor: 4.944

4.  Novel classification of acute liver failure through clustering using a self-organizing map: usefulness for prediction of the outcome.

Authors:  Nobuaki Nakayama; Makoto Oketani; Yoshihiro Kawamura; Mie Inao; Sumiko Nagoshi; Kenji Fujiwara; Hirohito Tsubouchi; Satoshi Mochida
Journal:  J Gastroenterol       Date:  2011-05-21       Impact factor: 7.527

5.  miR-429 modulates the expression of c-myc in human gastric carcinoma cells.

Authors:  Tiewei Sun; Chunmei Wang; Jun Xing; Dequan Wu
Journal:  Eur J Cancer       Date:  2011-06-16       Impact factor: 9.162

6.  MicroRNA profiles of healthy basal and luminal mammary epithelial cells are distinct and reflected in different breast cancer subtypes.

Authors:  Clemens L Bockmeyer; Matthias Christgen; Mirco Müller; Sebastian Fischer; Philipp Ahrens; Florian Länger; Hans Kreipe; Ulrich Lehmann
Journal:  Breast Cancer Res Treat       Date:  2011-03-17       Impact factor: 4.872

7.  Young patients with colorectal cancer have poor survival in the first twenty months after operation and predictable survival in the medium and long-term: analysis of survival and prognostic markers.

Authors:  K K Chan; B Dassanayake; R Deen; R E Wickramarachchi; S K Kumarage; S Samita; K I Deen
Journal:  World J Surg Oncol       Date:  2010-09-15       Impact factor: 2.754

8.  Regulation of transcriptome, translation, and proteome in response to environmental stress in fission yeast.

Authors:  Daniel H Lackner; Michael W Schmidt; Shuangding Wu; Dieter A Wolf; Jürg Bähler
Journal:  Genome Biol       Date:  2012-04-18       Impact factor: 13.583

9.  Tumor suppressive microRNA-1285 regulates novel molecular targets: aberrant expression and functional significance in renal cell carcinoma.

Authors:  Hiedo Hidaka; Naohiko Seki; Hirofumi Yoshino; Takeshi Yamasaki; Yasutoshi Yamada; Nijiro Nohata; Miki Fuse; Masayuki Nakagawa; Hideki Enokida
Journal:  Oncotarget       Date:  2012-01

10.  An in silico analysis of dynamic changes in microRNA expression profiles in stepwise development of nasopharyngeal carcinoma.

Authors:  Zhaohui Luo; Liyang Zhang; Zheng Li; Xiayu Li; Gang Li; Haibo Yu; Chen Jiang; Yafei Dai; Xiaofang Guo; Juanjuan Xiang; Guiyuan Li
Journal:  BMC Med Genomics       Date:  2012-01-19       Impact factor: 3.063

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  19 in total

1.  miR-429 inhibits glioma invasion through BMK1 suppression.

Authors:  Weiyi Chen; Baogang Zhang; Wenjun Guo; Linlin Gao; Lihong Shi; Hongli Li; Shijun Lu; Yuqing Liu; Xiaolong Li
Journal:  J Neurooncol       Date:  2015-08-14       Impact factor: 4.130

2.  MiR-429 regulates gastric cancer cell invasiveness through ZEB proteins.

Authors:  Wei Liu; Jie An; Kang Li; Huichi Hou
Journal:  Tumour Biol       Date:  2015-10-15

3.  Tumor-suppressing effects of microRNA-429 in human renal cell carcinoma via the downregulation of Sp1.

Authors:  Deyao Wu; Xiaobing Niu; Huixing Pan; Yunfeng Zhou; Zichun Zhang; Ping Qu; Jian Zhou
Journal:  Oncol Lett       Date:  2016-08-05       Impact factor: 2.967

4.  miR-429 promotes the proliferation of non-small cell lung cancer cells via targeting DLC-1.

Authors:  Peng Xiao; Wenliang Liu; Hui Zhou
Journal:  Oncol Lett       Date:  2016-07-22       Impact factor: 2.967

5.  Expression Profiling of Cellular MicroRNA in Asymptomatic HBsAg Carriers and Chronic Hepatitis B Patients.

Authors:  Xianliang Hou; Yan Liang; Jianing Chen; Yingfeng Wei; Ping Zeng; Lin Wang; Chong Lu; Hongyan Diao
Journal:  Biomed Res Int       Date:  2017-08-23       Impact factor: 3.411

6.  MiR-429 reverses epithelial-mesenchymal transition by restoring E-cadherin expression in bladder cancer.

Authors:  Chia-Lun Wu; Jar-Yi Ho; Sheng-Chieh Chou; Dah-Shyong Yu
Journal:  Oncotarget       Date:  2016-05-03

7.  Gene expression analyses identify a relationship between stanniocalcin 2 and the malignant behavior of colorectal cancer.

Authors:  Jian Wang; Sana Sahengbieke; Xiaoping Xu; Lei Zhang; Xiaoming Xu; Lifeng Sun; Qun Deng; Da Wang; Dong Chen; Yuan Pan; Zhaohui Liu; Shaojun Yu
Journal:  Onco Targets Ther       Date:  2018-10-18       Impact factor: 4.147

8.  miR-124 and miR-506 inhibit colorectal cancer progression by targeting DNMT3B and DNMT1.

Authors:  Zhiheng Chen; Shaojun Liu; Li Tian; Minghao Wu; Feiyan Ai; Wuliang Tang; Lian Zhao; Juan Ding; Liyang Zhang; Anliu Tang
Journal:  Oncotarget       Date:  2015-11-10

9.  miR-429 functions as a tumor suppressor by targeting FSCN1 in gastric cancer cells.

Authors:  Min Zhang; Bing-Bin Dong; Min Lu; Mei-Juan Zheng; He Chen; Jing-Zhen Ding; A-Man Xu; Yuan-Hong Xu
Journal:  Onco Targets Ther       Date:  2016-03-03       Impact factor: 4.147

10.  Prognostic value of microRNAs in colorectal cancer: a meta-analysis.

Authors:  Song Gao; Zhi-Ying Zhao; Rong Wu; Yue Zhang; Zhen-Yong Zhang
Journal:  Cancer Manag Res       Date:  2018-04-30       Impact factor: 3.989

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