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The Novel lncRNA RP9P Promotes Colorectal Cancer Progression by Modulating miR-133a-3p/FOXQ1 Axis.


ABSTRACT:

Background

The long non-coding RNA (lncRNA) RP9 pseudogene (RP9P) is a pseudogene-derived lncRNA that has never been reported in cancer, and its function underlying tumorigenesis in colorectal cancer (CRC) remains unknown.

Methods

RP9P and miR-133a-3p were filtered through bioinformatics analysis. The level of RP9P, miR-133a-3p, and FOXQ1 in CRC cell lines was detected by real-time PCR. Cell Counting Kit-8 and flow cytometric analyses were used to detect cell proliferation and apoptosis, respectively. Interactions between RP9P, miR-133a-3p, and FOXQ1 were confirmed by a dual-luciferase reporter assay.

Results

RP9P was overexpressed in CRC compared to normal control tissues and cells. Knockdown of RP9P inhibited CRC cell viability. RP9P directly interacted with miR-133a-3p, and miR-133a-3p downregulation abrogated the tumor-suppressing effect of RP9P knockdown. miR-133a-3p directly targeted FOXQ, which was positively regulated by RP9P. RP9P knockdown decreased FOXQ1 expression levels in CRC cells by directly targeting miR-133a-3p via a sponge mechanism. In addition, in vivo experiments in a xenograft model revealed that downregulated RP9P expression inhibited CRC cell tumorigenesis.

Conclusion

RP9P promotes colorectal cancer progression by regulating the miR-133a-3p/FOXQ1 axis.

SUBMITTER: Jin Z 

PROVIDER: S-EPMC9117648 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature

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Publications

The Novel lncRNA RP9P Promotes Colorectal Cancer Progression by Modulating miR-133a-3p/FOXQ1 Axis.

Jin Zhichao Z   Liu Baoxinzi B   Lin Bofan B   Yang Ran R   Wu Cunen C   Xue Weiwei W   Zou Xi X   Qian Jun J  

Frontiers in oncology 20220505


<h4>Background</h4>The long non-coding RNA (lncRNA) RP9 pseudogene (RP9P) is a pseudogene-derived lncRNA that has never been reported in cancer, and its function underlying tumorigenesis in colorectal cancer (CRC) remains unknown.<h4>Methods</h4>RP9P and miR-133a-3p were filtered through bioinformatics analysis. The level of RP9P, miR-133a-3p, and FOXQ1 in CRC cell lines was detected by real-time PCR. Cell Counting Kit-8 and flow cytometric analyses were used to detect cell proliferation and apo  ...[more]

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