Evidence map›Paper›PMID 40116042›Full record

ArticleRNA biology2025

Sorafenib-associated translation reprogramming in hepatocellular carcinoma cells.

Laura Contreras, Alfonso Rodríguez-Gil, Jordi Muntané, Jesús de la Cruz

Abstract read
In one paragraph

Article in RNA biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

3 citing papers in PubMed.

  1. Targeting C12ORF49-Mediated Ferroptosis in Hepatocellular Carcinoma.JGH open : an open access journal of gastroenterology and hepatology · 2026
    Review
  2. Article
  3. Review
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.

Laura ContrerasInstituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain.ORCID 0000-0001-8385-4084
Alfonso Rodríguez-GilInstituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain.ORCID 0000-0003-4430-077X
Jordi MuntanéInstituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain.ORCID 0000-0002-6744-1121
Jesús de la CruzInstituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain.ORCID 0000-0001-5870-659X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sorafenib (Sfb) is a multikinase inhibitor regularly used for the management of patients with advanced hepatocellular carcinoma (HCC) that has been shown to increase very modestly life expectancy. We have shown that Sfb inhibits protein synthesis at the level of initiation in cancer cells. However, the global snapshot of mRNA translation following Sorafenib-treatment has not been explored so far. In this study, we performed a genome-wide polysome profiling analysis in Sfb-treated HCC cells and demonstrated that, despite global translation repression, a set of different genes remain efficiently translated or are even translationally induced. We reveal that, in response to Sfb inhibition, translation is tuned, which strongly correlates with the presence of established mRNA

Indexed as

Antineoplastic AgentsCarcinoma, HepatocellularLiver NeoplasmsNiacinamidePhenylurea CompoundsProtein BiosynthesisProtein Kinase InhibitorsCell Line, TumorGene Expression Regulation, NeoplasticHumansPolyribosomesRNA, MessengerSorafenibAntineoplastic AgentsNiacinamidePhenylurea CompoundsProtein Kinase InhibitorsRNA, MessengerSorafenibHepatocellular carcinomam6A methylationpolysome profilingSorafenibtranslation

Identifiers

PMID40116042
PMCPMC11934173

What OpenQuestion holds

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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.