Literature DB >> 35316129

LncRNA SLC16A1-AS1 regulates the miR-182/PDCD4 axis and inhibits the triple-negative breast cancer cell cycle.

Bing Jiang1,2, Qian Liu1, Junda Gai2, Jingqian Guan2, Qingchang Li2.   

Abstract

PURPOSE: Although SLC16A1-AS1 is involved in lung cancer, its function in breast cancer is still elusive. We observed downregulation of SLC16A1-AS1 expression in triple-negative breast cancer (TNBC) by analyzing TCGA dataset. Therefore, we analyzed the function of SLC16A1-AS1 in TNBC.
METHODS: We observed downregulation of SLC16A1-AS1 expression in TNBC by analyzing TCGA dataset. Therefore, we analyzed the function of SLC16A1-AS1 in TNBC.
RESULTS: SLC16A1-AS1 expression was downregulated in TNBC tissues. SLC16A1-AS1 interacted with miR-182, whereas SLC16A1-AS1 and miR-182 overexpression failed to affect their expression. SLC16A1-AS1 overexpression upregulated the expression of PDCD4, a downstream target of miR-182. SLC16A1-AS1 and PDCD4 overexpression suppressed cell cycle progression from the G1 phase to the G2 phase. MiR-182 and silencing of PDCD4 played the opposite role. Additionally, miR-182 overexpression inhibited the role of SLC16A1-AS1 overexpression on cell cycle progression in both BT-549 and BT20 cells. The cell proliferation assay showed that SLC16A1-AS1 and PDCD4 overexpression decreased the cell proliferation rate.
CONCLUSION: SLC16A1-AS1 may inhibit cell cycle progression and restrain TNBC cell proliferation by regulating the miR-182/PDCD4 axis.

Entities:  

Keywords:  PDCD4; SLC16A1-AS1; miR-182; proliferation; triple-negative breast cancer

Mesh:

Substances:

Year:  2022        PMID: 35316129     DOI: 10.1080/08923973.2022.2056482

Source DB:  PubMed          Journal:  Immunopharmacol Immunotoxicol        ISSN: 0892-3973            Impact factor:   3.712


  2 in total

Review 1.  Dissecting the Roles of PDCD4 in Breast Cancer.

Authors:  Qian Cai; Hsin-Sheng Yang; Yi-Chen Li; Jiang Zhu
Journal:  Front Oncol       Date:  2022-06-20       Impact factor: 5.738

2.  A novel LUAD prognosis prediction model based on immune checkpoint-related lncRNAs.

Authors:  Yang Liu; Mingyang Yu; Xuechao Cheng; Xingshu Zhang; Qian Luo; Sijin Liao; Zhongzheng Chen; Jianhao Zheng; Kaijun Long; Xingwei Wu; Wendong Qu; Ming Gong; Yongxiang Song
Journal:  Front Genet       Date:  2022-09-21       Impact factor: 4.772

  2 in total

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