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LncRNAs regulate the cytoskeleton and related Rho/ROCK signaling in cancer metastasis

Overview of attention for article published in Molecular Cancer, April 2018
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Title
LncRNAs regulate the cytoskeleton and related Rho/ROCK signaling in cancer metastasis
Published in
Molecular Cancer, April 2018
DOI 10.1186/s12943-018-0825-x
Pubmed ID
Authors

Yanyan Tang, Yi He, Ping Zhang, Jinpeng Wang, Chunmei Fan, Liting Yang, Fang Xiong, Shanshan Zhang, Zhaojian Gong, Shaolin Nie, Qianjin Liao, Xiayu Li, Xiaoling Li, Yong Li, Guiyuan Li, Zhaoyang Zeng, Wei Xiong, Can Guo

Abstract

Some of the key steps in cancer metastasis are the migration and invasion of tumor cells; these processes require rearrangement of the cytoskeleton. Actin filaments, microtubules, and intermediate filaments involved in the formation of cytoskeletal structures, such as stress fibers and pseudopodia, promote the invasion and metastasis of tumor cells. Therefore, it is important to explore the mechanisms underlying cytoskeletal regulation. The ras homolog family (Rho) and Rho-associated coiled-coil containing protein serine/threonine kinase (ROCK) signaling pathway is involved in the regulation of the cytoskeleton. Moreover, long noncoding RNAs (lncRNAs) have essential roles in tumor migration and guide gene regulation during cancer progression. LncRNAs can regulate the cytoskeleton directly or may influence the cytoskeleton via Rho/ROCK signaling during tumor migration. In this review, we focus on the regulatory association between lncRNAs and the cytoskeleton and discuss the pathways and mechanisms involved in the regulation of cancer metastasis.

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Mendeley readers

The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 67 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 16%
Student > Master 9 13%
Student > Doctoral Student 8 12%
Researcher 7 10%
Professor 3 4%
Other 8 12%
Unknown 21 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 24 36%
Medicine and Dentistry 8 12%
Agricultural and Biological Sciences 5 7%
Neuroscience 2 3%
Immunology and Microbiology 2 3%
Other 2 3%
Unknown 24 36%