Literature DB >> 33789312

LINC00649 Facilitates the Cellular Process of Bladder Cancer Cells via Signaling Axis miR-16-5p/JARID2.

Yongsong Liu1, Xiande Huang2, Lijun Guo2, Nengqin Luo2.   

Abstract

Bladder cancer (BC), as one of the most common cancers around the world, begins in the inner side of the bladder and is inclined to spread to the remaining parts of the body. Extensive documents have shown that long noncoding RNAs function as stimuli in various cancer types. With regard to LINC00649, there is limited investigation on its role previously. In our research, we discovered that LINC00649 was considerably highly expressed in BC cells and the lack of LINC00649 would cause inactivity in cellular proliferation, migration, and invasion. miR-16-5p turned out to be competitively incorporated by LINC00649 in the upstream or JARID2 downstream. In BC cells, LINC00649 was found to bind with miR-16-5p to increase the expression of JARID2. Overly expressed JARID2 was found to reverse the LINC00649 shortage-mediated suppressive impacts on the cellular process of BC cells. Concisely, it was the first study on the molecular mechanism of LINC00649 in BC. This work detected that LINC00649 enhanced cell proliferation, migration, and invasion of BC cells by acting as a sponge of miR-16-5p and upregulating JARID2, providing novel insight into understating BC.
© 2020 S. Karger AG, Basel.

Entities:  

Keywords:  Bladder cancer; JARID2; LINC00649; miR-16-5p

Mesh:

Substances:

Year:  2021        PMID: 33789312     DOI: 10.1159/000506239

Source DB:  PubMed          Journal:  Urol Int        ISSN: 0042-1138            Impact factor:   2.089


  2 in total

1.  MiR-16-5p suppresses breast cancer proliferation by targeting ANLN.

Authors:  Ziming Wang; Siyuan Hu; Xinyang Li; Zhiwei Liu; Danyang Han; Yukun Wang; Limin Wei; Guangping Zhang; Xinshuai Wang
Journal:  BMC Cancer       Date:  2021-11-07       Impact factor: 4.430

2.  mRNA-miRNA bipartite networks reconstruction in different tissues of bladder cancer based on gene co-expression network analysis.

Authors:  Zahra Abedi; Habib MotieGhader; Sahar Sadat Hosseini; Mohammad Ali Sheikh Beig Goharrizi; Ali Masoudi-Nejad
Journal:  Sci Rep       Date:  2022-04-07       Impact factor: 4.379

  2 in total

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