Evidence map›Paper›PMID 33917315›Full record

ArticleCancers2021

The Consumption of Cholesterol-Enriched Diets Conditions the Development of a Subtype of HCC with High Aggressiveness and Poor Prognosis.

Arturo Simoni-Nieves, Soraya Salas-Silva, Lisette Chávez-Rodríguez, Alejandro Escobedo-Calvario, Matthis Desoteux, Leticia Bucio, Verónica Souza, Roxana U Miranda-Labra, Linda E Muñoz-Espinosa, Cédric Coulouarn and 3 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

14 citing papers in PubMed, 28 citations in OpenAlex.

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  10. Wax apple (Journal of traditional and complementary medicine · 2022
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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

13 authors at 4 institutions in 3 countries.

Arturo Simoni-NievesPosgrado en Biología Experimental, DCBS, Universidad Autónoma Metropolitana Iztapalapa, Mexico City 09340, Mexico.ORCID 0000-0002-1353-260X
Soraya Salas-SilvaPosgrado en Biología Experimental, DCBS, Universidad Autónoma Metropolitana Iztapalapa, Mexico City 09340, Mexico.
Lisette Chávez-RodríguezPosgrado en Biología Experimental, DCBS, Universidad Autónoma Metropolitana Iztapalapa, Mexico City 09340, Mexico.
Alejandro Escobedo-CalvarioPosgrado en Biología Experimental, DCBS, Universidad Autónoma Metropolitana Iztapalapa, Mexico City 09340, Mexico.
Matthis DesoteuxCentre de Lutte contre le Cancer Eugène Marquis, Inserm, Univ Rennes, COSS (Chemistry, Oncogenesis Stress Signaling), UMR_S 1242, 35042 Rennes, France.ORCID 0000-0002-3412-2730
Leticia BucioÁrea de Medicina Experimental y Traslacional, Departamento de Ciencias de la Salud, Universidad Autónoma Metropolitana-Iztapalapa, Mexico City 09340, Mexico.
Verónica SouzaÁrea de Medicina Experimental y Traslacional, Departamento de Ciencias de la Salud, Universidad Autónoma Metropolitana-Iztapalapa, Mexico City 09340, Mexico.
Roxana U Miranda-LabraÁrea de Medicina Experimental y Traslacional, Departamento de Ciencias de la Salud, Universidad Autónoma Metropolitana-Iztapalapa, Mexico City 09340, Mexico.
Linda E Muñoz-EspinosaLiver Unit, Department of Internal Medicine, "Dr. José E. González" University Hospital, Universidad Autónoma de Nuevo León, Monterrey 64460, NL, Mexico.
Cédric CoulouarnCentre de Lutte contre le Cancer Eugène Marquis, Inserm, Univ Rennes, COSS (Chemistry, Oncogenesis Stress Signaling), UMR_S 1242, 35042 Rennes, France.ORCID 0000-0002-5692-9586
María Concepción Gutiérrez-RuizÁrea de Medicina Experimental y Traslacional, Departamento de Ciencias de la Salud, Universidad Autónoma Metropolitana-Iztapalapa, Mexico City 09340, Mexico.
Jens U MarquardtDepartment of Medicine I, University Hospital Schleswig-Holstein, 23562 Lübeck, Germany.
Luis E Gomez-QuirozÁrea de Medicina Experimental y Traslacional, Departamento de Ciencias de la Salud, Universidad Autónoma Metropolitana-Iztapalapa, Mexico City 09340, Mexico.ORCID 0000-0002-5704-5985
Universidad Autónoma Metropolitana · MXInserm · FRUniversidad Autónoma de Nuevo León · MXUniversity Hospital Schleswig-Holstein · DE

Funding

Consejo Nacional de Ciencia y Tecnología Fronteras de la Ciencia 1320Consejo Nacional de Ciencia y Tecnología, Paraguay CB-252942The German Research Foundation MA 4443/2-2; SFB1292the Volkswagen Foundation Lichtenberg programthe Wilhelm-Sander Foundation 2017.007.1
6 · The paper itself

Abstract

Non-alcoholic fatty liver disease (NAFLD) and progression to non-alcoholic steatohepatitis (NASH) result as a consequence of diverse conditions, mainly unbalanced diets. Particularly, high-fat and cholesterol content, as well as carbohydrates, such as those commonly ingested in Western countries, frequently drive adverse metabolic alterations in the liver and promote NAFLD development. Lipid liver overload is also one of the main risk factors for initiation and progression of hepatocellular carcinoma (HCC), but detailed knowledge on the relevance of high nutritional cholesterol remains elusive. We were aimed to characterize HCC development in mice fed with a Western diet (high in lipids and cholesterol) and to identify molecular alterations that define a subtype of liver cancer induced by lipid overload. Mice under western or high cholesterol diets more frequently developed tumors with a more aggressive phenotype than animals fed with a chow diet. Associated changes involved macrophage infiltration, angiogenesis, and stemness features. RNA-seq revealed a specific gene expression signature (

Indexed as

cholesterolHCCNAFLDNASHWestern diet

Identifiers

PMID33917315
PMCPMC8038696
OpenAlexW3145146597

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.