Evidence map›Paper›PMID 32751694›Full record

ArticleInternational journal of molecular sciences2020

The Ubiquitin Gene Expression Pattern and Sensitivity to

Emanuele Salvatore Scarpa, Filippo Tasini, Rita Crinelli, Chiara Ceccarini, Mauro Magnani, Marzia Bianchi

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

15 citing papers in PubMed, 23 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

6 authors at 1 institution in 1 country.

Emanuele Salvatore ScarpaDepartment of Biomolecular Sciences, University of Urbino Carlo Bo, 61029 Urbino (PU), Italy.
Filippo TasiniDepartment of Biomolecular Sciences, University of Urbino Carlo Bo, 61029 Urbino (PU), Italy.
Rita CrinelliDepartment of Biomolecular Sciences, University of Urbino Carlo Bo, 61029 Urbino (PU), Italy.
Chiara CeccariniDepartment of Biomolecular Sciences, University of Urbino Carlo Bo, 61029 Urbino (PU), Italy.
Mauro MagnaniDepartment of Biomolecular Sciences, University of Urbino Carlo Bo, 61029 Urbino (PU), Italy.ORCID 0000-0001-6456-6626
Marzia BianchiDepartment of Biomolecular Sciences, University of Urbino Carlo Bo, 61029 Urbino (PU), Italy.
University of Urbino · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastric cancer (GC) is one of the most common and lethal cancers. Alterations in the ubiquitin (Ub) system play key roles in the carcinogenetic process and in metastasis development. Overexpression of transcription factors YY1, HSF1 and SP1, known to regulate Ub gene expression, is a predictor of poor prognosis and shorter survival in several cancers. In this study, we compared a primary (23132/87) and a metastatic (MKN45) GC cell line. We found a statistically significant higher expression of three out of four Ub coding genes,

Indexed as

Antigens, NeoplasmCell DifferentiationCell Line, TumorCell SurvivalGene Expression Regulation, NeoplasticGene Knockdown TechniquesHeat Shock Transcription FactorsHumansNeoplasm MetastasisRibosomal ProteinsRNA, MessengerRNA, Small InterferingSp1 Transcription FactorStomach NeoplasmsUbiquitinUbiquitinsAntigens, NeoplasmHeat Shock Transcription FactorsHSF1 protein, humanRibosomal ProteinsRNA, MessengerRNA, Small InterferingRPS27a protein, humanSP1 protein, humanSp1 Transcription FactorUBB protein, humanUBC antigenUbiquitinUbiquitinscell viabilitygastric cancerUBBUBCubiquitin

Identifiers

PMID32751694
PMCPMC7432825
OpenAlexW3045852659

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.