Literature DB >> 25450277

Identification of potential biomarkers for clear cell renal cell carcinoma based on microRNA-mRNA pathway relationships.

Jun-Feng Hao, Kai-Ming Ren, Jiu-Xu Bai, Shou-Nan Wang, Bing Shao, Ning Cao1, Xu Li1.   

Abstract

BACKGROUND: MicroRNAs (miRNAs) play important roles in tumor genesis. miRNA dysregulation has been widely studied and demonstrated in clear cell renal cell carcinoma (ccRCC).
MATERIALS AND METHODS: We applied a newly proposed method for selecting miRNAs that discriminate between healthy controls and cancers. We initially extracted different miRNAs and mRNAs and then selected miRNA-mRNA dysregulation pairs. The pathways that involved mRNAs were acquired according to the functional enrichment. We integrated the miRNAs, mRNAs, and pathways and constructed the miRNA-mRNA pathway relationships based on the derived significant miRNAs.
RESULTS: We acquired 566 antiregulated miRNA-mRNA pairs including 56 miRNAs and 485 mRNAs. Three significant pathways related to ccRCC, namely, arginine and proline metabolism, aldosterone-regulated sodium reabsorption, and oxidative phosphorylation, were observed. Based on the miRNA-mRNA pathway relationships, five significant miRNAs were identified as potential biomarkers: hsa-miR-425, hsa-miR-136, hsa-miR-335, hsa-miR-340, and hsa-miR-320d.
CONCLUSION: This integrative network approach revealed important miRNAs in the ccRCC that can identify specific disease biomarkers, which can be used as targets for cancer treatment.

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Year:  2014        PMID: 25450277     DOI: 10.4103/0973-1482.145856

Source DB:  PubMed          Journal:  J Cancer Res Ther        ISSN: 1998-4138            Impact factor:   1.805


  10 in total

1.  miR-335 inhibits the proliferation and invasion of clear cell renal cell carcinoma cells through direct suppression of BCL-W.

Authors:  Kefeng Wang; Xiaonan Chen; Yunhong Zhan; Weiguo Jiang; Xuefeng Liu; Xia Wang; Bin Wu
Journal:  Tumour Biol       Date:  2015-04-08

2.  Computational identification and analysis of early diagnostic biomarkers for kidney cancer.

Authors:  Tang Tang; Xiaoyan Du; Xiaoyi Zhang; Wenling Niu; Chunhua Li; Jianjun Tan
Journal:  J Hum Genet       Date:  2019-07-26       Impact factor: 3.172

3.  Deep sequencing reveals microRNAs predictive of antiangiogenic drug response.

Authors:  Jesús García-Donas; Benoit Beuselinck; Lucía Inglada-Pérez; Osvaldo Graña; Patrick Schöffski; Agnieszka Wozniak; Oliver Bechter; Maria Apellániz-Ruiz; Luis Javier Leandro-García; Emilio Esteban; Daniel E Castellano; Aranzazu González Del Alba; Miguel Angel Climent; Susana Hernando; José Angel Arranz; Manuel Morente; David G Pisano; Mercedes Robledo; Cristina Rodriguez-Antona
Journal:  JCI Insight       Date:  2016-07-07

4.  Tumor suppressor microRNA-136-5p regulates the cellular function of renal cell carcinoma.

Authors:  Peijie Chen; Liwen Zhao; Xiang Pan; Lu Jin; Canbin Lin; Weijie Xu; Jinling Xu; Xin Guan; Xueling Wu; Yong Wang; Shangqi Yang; Tao Wang; Yongqing Lai
Journal:  Oncol Lett       Date:  2018-02-16       Impact factor: 2.967

5.  Downregulation of miR-335 exhibited an oncogenic effect via promoting KDM3A/YAP1 networks in clear cell renal cell carcinoma.

Authors:  Wenqiang Zhang; Ruiyu Liu; Lin Zhang; Chao Wang; Ziyan Dong; Jiasheng Feng; Mayao Luo; Yifan Zhang; Zhuofan Xu; Shidong Lv; Qiang Wei
Journal:  Cancer Gene Ther       Date:  2021-04-23       Impact factor: 5.854

6.  MicroRNA-340 inhibits the proliferation and promotes the apoptosis of colon cancer cells by modulating REV3L.

Authors:  Roshini Arivazhagan; Jaesuk Lee; Delger Bayarsaikhan; Peter Kwak; Myeongjoo Son; Kyunghee Byun; Ghasem Hosseini Salekdeh; Bonghee Lee
Journal:  Oncotarget       Date:  2017-12-26

7.  MicroRNA-320d regulates tumor growth and invasion by promoting FoxM1 and predicts poor outcome in gastric cardiac adenocarcinoma.

Authors:  Xiaojie Chen; Shegan Gao; Zhiwei Zhao; Gaofeng Liang; Jinyu Kong; Xiaoshan Feng
Journal:  Cell Biosci       Date:  2020-06-16       Impact factor: 7.133

8.  A five-gene methylation signature predicts overall survival of patients with clear cell renal cell carcinoma.

Authors:  Xiao Jing; Gang Xu; Yu Gong; Junlong Li; Wei Zhu; Yi He; Zhongyi Li; Shouhua Pan
Journal:  J Clin Lab Anal       Date:  2021-10-30       Impact factor: 2.352

9.  Temporal Identification of Dysregulated Genes and Pathways in Clear Cell Renal Cell Carcinoma Based on Systematic Tracking of Disrupted Modules.

Authors:  Shao-Mei Wang; Ze-Qiang Sun; Hong-Yun Li; Jin Wang; Qing-Yong Liu
Journal:  Comput Math Methods Med       Date:  2015-10-12       Impact factor: 2.238

10.  Oncogenic miR-425-5p is associated with cellular migration, proliferation and apoptosis in renal cell carcinoma.

Authors:  Jing Quan; Yawen Li; Xiang Pan; Yulin Lai; Tao He; Canbin Lin; Liang Zhou; Liwen Zhao; Shuolei Sun; Yu Ding; Lingzhi Tao; Yimin Hu; Xionghui Wu; Zebo Chen; Fangting Zhang; Jing Ye; Liangchao Ni; Yongqing Lai
Journal:  Oncol Lett       Date:  2018-06-11       Impact factor: 2.967

  10 in total

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