Evidence map›Paper›PMID 33042449›Full record

ArticleAmerican journal of translational research2020

Long non-coding RNA ADAMTS9-AS1 exacerbates cell proliferation, migration, and invasion via triggering of the PI3K/AKT/mTOR pathway in hepatocellular carcinoma cells.

Zhan Zhang, Hanjun Li, Yilin Hu, Fuzhe Wang

Abstract read
In one paragraph

Article in American journal of translational research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Zhan ZhangDepartment of Rehabilitation Medicine, Changhai Hospital, Second Military Medical University Shanghai 200433, China.
Hanjun LiThe First School of Clinical Medicine, Southern Medical University Guangzhou 510515, Guangdong, China.
Yilin HuDepartment of General Surgery, General Hospital of Central Theater Command of The Chinese People's Liberation Army Wuhan 430070, Hubei, China.
Fuzhe WangDepartment of Rehabilitation Medicine, Changhai Hospital, Second Military Medical University Shanghai 200433, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although many long non-coding RNAs (lncRNAs) are modulators of biological events in hepatocellular carcinoma (HCC), the potential significance of most lncRNAs in HCC remains to be fully understood. The role of lncRNA ADAMTS9-AS1 in HCC was therefore determined. ADAMTS9-AS1 expression was higher in HCC cell lines compared to normal cells as determined by qPCR analyses. Furthermore, CCK-8, scratch wound healing, transwell migration, and invasion assays suggested that ADAMTS9-AS1 overexpression promoted the proliferation, migration, and invasion in MHCC97-H and HepG2 cells; ADAMTS9-AS1 knockdown showed the opposite results. Based on the results from GEO, the correlation between ADAMTS9-AS1 and PI3K/AKT/mTOR was identified. Thus, an association between ADAMTS9-AS1 and the PI3K/AKT/mTOR signaling pathway was further observed. To confirm the pathway protein levels, p-AKT, PIK3CB, and p-mTOR were selected. Western blot assays suggested that ADAMTS9-AS1 enhanced the expression levels of the three proteins. Because of their close relationship with PI3K/AKT/mTOR, apoptosis- or autophagy-related proteins were further investigated. ADAMTS9-AS1 expression was negatively related with LC3-II, BECN1, and pro-apoptotic Bax, whereas it was positively correlated SQSTM1 and anti-apoptotic Bcl-2 expression. Western blot results suggested that ADAMTS9-AS1 decreased ADAMTS9 expression. Our data revealed that ADAMTS9-AS1 contributed to proliferation, migration, and invasion in HCC cells, likely due to the activation of the PI3K/AKT/mTOR signaling pathway, to influence autophagy and apoptosis. These findings suggest that ADAMTS9-AS1 could serve as a molecular target in HCC treatment.

Indexed as

ADAMTS9-AS1hepatocellular carcinoma (HCC)Long non-coding RNAPI3K/AKT/mTOR

Identifiers

PMID33042449
PMCPMC7540114

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.