Evidence map›Paper›PMID 34409736›Full record

ArticleJournal of cellular and molecular medicine2021

CCAT2 enhances autophagy-related invasion and metastasis via regulating miR-4496 and ELAVL1 in hepatocellular carcinoma.

Jing Shi, Cao Guo, Junli Ma

Open access · goldAbstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.2field-weighted citation impact, top 11% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

23 citing papers in PubMed, 35 citations in OpenAlex.

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  12. The role of LncRNA-mediated autophagy in cancer progression.Frontiers in cell and developmental biology · 2024
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  18. Role of m6A writers, erasers and readers in cancer.Experimental hematology & oncology · 2022
    Review
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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

3 authors at 2 institutions in 1 country.

Jing ShiAffiliated Hospital of Jining Medical University, Jining, China.
Cao GuoInstitute of Medical Sciences, Xiangya Hospital, Central South University, Changsha, China.
Junli MaAffiliated Hospital of Jining Medical University, Jining, China.ORCID 0000-0001-7233-5940
Affiliated Hospital of Jining Medical University · CNCentral South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autophagy is thought to contribute to the pathogenesis of many diseases, including cancer. Long non-coding RNA (lncRNA) CCAT2 functions as an oncogene in a variety of tumours. However, it is still unknown whether CCAT2 is involved in autophagy and metastasis of hepatocellular carcinoma (HCC). In our study, we found that lncRNA CCAT2 expression was significantly increased in HCC tissue and was correlated with advanced stage and venous invasion. Further experiments revealed that CCAT2 induced autophagy and promoted migration and invasion in vitro and in vivo. Mechanistic investigations found that CCAT2 involved in HCC by regulating miR-4496/Atg5 in cytoplasm. In nucleus, CCAT2 bound with ELAVL1/HuR to facilitate HCC progression. Our findings suggest that CCAT2 is an oncogenic factor in the progression of HCC with different regulatory mechanisms and may serve as a target for HCC therapy.

Indexed as

CarcinogenesisCarcinoma, HepatocellularCase-Control StudiesCell MovementELAV-Like Protein 1Gene Expression Regulation, NeoplasticHep G2 CellsHumansLiver NeoplasmsMicroRNAsRNA, Long NoncodingELAVL1 protein, humanELAV-Like Protein 1long non-coding RNA CCAT2, humanMicroRNAsMIRN4496 microRNA, humanRNA, Long NoncodingautophagyCCAT2hepatocellular carcinomametastasis

Identifiers

PMID34409736
PMCPMC8435435
OpenAlexW3195766959

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.