Literature DB >> 33736615

Silencing of FTX suppresses pancreatic cancer cell proliferation and invasion by upregulating miR-513b-5p.

Shan Li1, Qian Zhang1, Wen Liu1, Chunbo Zhao2.   

Abstract

BACKGROUND: Abnormal expression of long non-coding RNA (lncRNA) FTX (five prime to Xist), which is involved in X chromosome inactivation, has been reported in various tumors. However, the effect of FTX on the development of pancreatic cancer (PC) has not been elucidated. The purpose of this study was to explore the possible molecular mechanism of FTX in PC.
METHODS: Quantitative real-time PCR (qRT-PCR) was used to measure the expression levels of FTX and miR-513b-5p in PC cell lines. Proliferation and apoptosis of PC cells were determined by CCK-8, Edu assay, and flow cytometry. Invasion and migration ability of PC cells were detected by Transwell assay and scratch test. Bioinformatics analysis, luciferase reporter gene assay, and RNA immunoprecipitation (RIP) assay were used to verify the direct binding between FTX and miR-513b-5p. The xenotransplantation mouse model was established to explore the effect of FTX and miR-513b-5p on the PC tumor growth in vivo.
RESULTS: The expression levels of FTX were increased in PC cell lines, and silencing of FTX remarkably suppressed the invasion ability and cell viability. Besides, FTX could bind to miR-513b-5p as a competitive endogenous RNA, thus promoting the invasion and proliferation ability of PC cells. Moreover, knockdown of FTX inhibited the tumor growth and increased the expression levels of miR-513b-5p and apoptosis-related proteins in vivo.
CONCLUSIONS: FTX could directly combine with miR-513b-5p as a competitive endogenous RNA, thus promoting the occurrence and development of PC in vitro and in vivo.

Entities:  

Keywords:  Long non-coding RNA FTX; Pancreatic cancer; Xenotransplantation mouse model; miR-513b-5p

Mesh:

Substances:

Year:  2021        PMID: 33736615      PMCID: PMC7977589          DOI: 10.1186/s12885-021-07975-6

Source DB:  PubMed          Journal:  BMC Cancer        ISSN: 1471-2407            Impact factor:   4.430


  53 in total

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