Evidence map›Paper›PMID 37917013›Full record

ArticleAging2023

USP14 predicts poorer survival outcomes and promotes tumor progression in endometrial carcinoma by activating NF-κB signaling.

Xiaojin Gong, Li Jia, Lili Zhou, Tongxiu Hu

Open access · hybridAbstract read
In one paragraph

Article in Aging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

8 citing papers in PubMed, 8 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Xiaojin GongDepartment of Obstetrics and Gynecology, Tianjin Hospital, Tianjin 300211, China.
Li JiaDepartment of Gynecology, Chongqing Traditional Chinese Medicine Hospital, Chongqing 400021, China.
Lili ZhouDepartment of Nursing, Hejiang People’s Hospital, Luzhou, Sichuan 646200, China.
Tongxiu HuDepartment of Obstetrics and Gynecology, Tianjin Hospital, Tianjin 300211, China.
Tianjin Hospital · CNFirst People's Hospital of Chongqing · CNQujiang People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ubiquitin-specific protease 14 (USP14), a member of the USP family, which catalyzes ubiquitin cleavage from a range of protein substrates, has been found dysregulated in several cancers. Our aim is to explore the functions and mechanism of USP14 in endometrial carcinoma (EC). Quantitative real-time PCR (qRT-PCR) and western blot (WB) were used to assess USP14 levels in EC tissues and adjacent nontumor tissues. USP14 overexpression or knockdown models were adopted to determine USP14-mediated effects on EC cell proliferation, migration, invasion, apoptosis, and epithelial-mesenchymal transition (EMT). The xenograft tumor experiment checked the effect of USP14 overexpression on tumor cell growth. Furthermore, the upstream signaling pathway of USP14 was predicted by bioinformatics. Consequently, EC tissues exhibited USP14 overexpression compared to normal paracancerous nontumor tissues. USP14 presence was linked to an adverse prognosis in EC cases. Functionally, USP14 overexpression reduced apoptosis and increased cell migration, invasion, and EMT

Indexed as

Endometrial NeoplasmsMicroRNAsCell Line, TumorCell MovementCell ProliferationEpithelial-Mesenchymal TransitionFemaleGene Expression Regulation, NeoplasticHumansNF-kappa BSignal TransductionUbiquitin ThiolesteraseMicroRNAsNF-kappa BUbiquitin ThiolesteraseUSP14 protein, humanendometrial carcinomaepithelial-mesenchymal transitionmetastasisNF-κBUSP14

Identifiers

PMID37917013
PMCPMC10683613
OpenAlexW4388129603

What OpenQuestion holds

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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.