Literature DB >> 30478837

MicroRNA: A new player in response to therapy for colorectal cancer.

Mostafa Sarvizadeh1, Ziba V Malekshahi2, Ebrahim Razi1, Hossein Sharifi1, Nousin Moussavi3, Mohsen Taghizadeh4.   

Abstract

Colorectal cancer (CRC) is one of the important malignancies that result in cancer-related deaths worldwide. Multiple lines of evidence have indicated that different responses to therapy in CRC cells led to the failure of the current therapies. Hence, identification of the underlying cellular and molecular pathways involved in the emergence of different responses from CRC cells could contribute to finding and designing new therapeutic platforms to overcome the present limitations. Among the various targets involved in CRC pathogenesis, microRNAs (miRNAs) have key roles in many signaling pathways that are associated with the initiation and progression of CRC. Increasing evidence has confirmed that miRNAs as epigenetic regulators could play critical roles in the response (resistance or sensitivity) to therapy. Cancer stem cells are well-known players in resistance to therapy in CRC. They have been shown to play significant roles via inhibition and activation of many miRNA networks. Hence, miRNAs could be involved in the resistance and sensitivity of therapy in CRC cells via affecting different mechanisms, such as activation of cancer stem cells. Here, we summarized the role of various miRNAs in response to therapy of CRC cells. Moreover, we highlighted the roles of these molecules in the function of cancer stem cells, which are known as important players in the resistance to therapy in CRC.
© 2018 Wiley Periodicals, Inc.

Entities:  

Keywords:  MicroRNA (miRNAs); response to therapy; stem cell

Mesh:

Substances:

Year:  2018        PMID: 30478837     DOI: 10.1002/jcp.27806

Source DB:  PubMed          Journal:  J Cell Physiol        ISSN: 0021-9541            Impact factor:   6.384


  8 in total

1.  MiR-137-3p Inhibits Colorectal Cancer Cell Migration by Regulating a KDM1A-Dependent Epithelial-Mesenchymal Transition.

Authors:  Xiaoling Ding; Jie Zhang; Ziqin Feng; Qianru Tang; Xiaorong Zhou
Journal:  Dig Dis Sci       Date:  2020-08-04       Impact factor: 3.199

2.  Identification of microRNA-181 as a promising biomarker for predicting the poor survival in colorectal cancer.

Authors:  Qiliang Peng; Wenyan Yao; Chenxiao Yu; Li Zou; Yuntian Shen; Yaqun Zhu; Ming Cheng; Zhengyang Feng; Bo Xu
Journal:  Cancer Med       Date:  2019-08-25       Impact factor: 4.452

3.  MicroRNA‑124 negatively regulates chloride intracellular channel 1 to suppress the migration and invasion of liver cancer cells.

Authors:  Xupeng Yue; Yuanyuan Cui; Qi You; Yanxin Lu; Jufeng Zhang
Journal:  Oncol Rep       Date:  2019-07-25       Impact factor: 3.906

Review 4.  Epithelial-Mesenchymal Transition and MicroRNAs in Colorectal Cancer Chemoresistance to FOLFOX.

Authors:  Paula I Escalante; Luis A Quiñones; Héctor R Contreras
Journal:  Pharmaceutics       Date:  2021-01-08       Impact factor: 6.321

5.  LINC01224 promotes colorectal cancer progression through targeting miR-485-5p/MYO6 axis.

Authors:  Jingfeng Gu; Liang Dong; Yun Wang; Wenjia Nie; Wencong Liu; Ji-An Zhao
Journal:  World J Surg Oncol       Date:  2021-09-17       Impact factor: 2.754

Review 6.  Identifying Novel Actionable Targets in Colon Cancer.

Authors:  Maria Grazia Cerrito; Emanuela Grassilli
Journal:  Biomedicines       Date:  2021-05-20

7.  Mucoadhesive-to-penetrating controllable peptosomes-in-microspheres co-loaded with anti-miR-31 oligonucleotide and Curcumin for targeted colorectal cancer therapy.

Authors:  Ran Zhao; Sujuan Du; Ying Liu; Cong Lv; Yongli Song; Xinchun Chen; Bing Zhang; Dan Li; Shan Gao; Wei Cui; Maksim V Plikus; Xiaohua Hou; Kaichun Wu; Zhanju Liu; Zhihua Liu; Yingzi Cong; Yuan Li; Zhengquan Yu
Journal:  Theranostics       Date:  2020-02-18       Impact factor: 11.556

8.  An improved random forest-based computational model for predicting novel miRNA-disease associations.

Authors:  Dengju Yao; Xiaojuan Zhan; Chee-Keong Kwoh
Journal:  BMC Bioinformatics       Date:  2019-12-03       Impact factor: 3.169

  8 in total

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