Evidence map›Paper›PMID 32585893›Full record

ReviewCancers2020

Molecular Bases of Drug Resistance in Hepatocellular Carcinoma.

Jose J G Marin, Rocio I R Macias, Maria J Monte, Marta R Romero, Maitane Asensio, Anabel Sanchez-Martin, Candela Cives-Losada, Alvaro G Temprano, Ricardo Espinosa-Escudero, Maria Reviejo and 2 more

Open access · goldAbstract readReview
In one paragraph

Review in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
80citing papers in PubMed, 1 pooled it
17.5field-weighted citation impact, top 1% 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

80 citing papers in PubMed, 1 synthesis or guideline pooled it, 194 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Review
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Article
  20. Article

20 more citing papers are in PubMed but not listed here.

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

12 authors at 1 institution in 1 country.

Jose J G MarinExperimental Hepatology and Drug Targeting (HEVEFARM) Group, University of Salamanca, IBSAL, 37007 Salamanca, Spain.ORCID 0000-0003-1186-6849
Rocio I R MaciasExperimental Hepatology and Drug Targeting (HEVEFARM) Group, University of Salamanca, IBSAL, 37007 Salamanca, Spain.ORCID 0000-0002-4748-0326
Maria J MonteExperimental Hepatology and Drug Targeting (HEVEFARM) Group, University of Salamanca, IBSAL, 37007 Salamanca, Spain.ORCID 0000-0003-1844-7428
Marta R RomeroExperimental Hepatology and Drug Targeting (HEVEFARM) Group, University of Salamanca, IBSAL, 37007 Salamanca, Spain.
Maitane AsensioExperimental Hepatology and Drug Targeting (HEVEFARM) Group, University of Salamanca, IBSAL, 37007 Salamanca, Spain.
Anabel Sanchez-MartinExperimental Hepatology and Drug Targeting (HEVEFARM) Group, University of Salamanca, IBSAL, 37007 Salamanca, Spain.
Candela Cives-LosadaExperimental Hepatology and Drug Targeting (HEVEFARM) Group, University of Salamanca, IBSAL, 37007 Salamanca, Spain.
Alvaro G TempranoExperimental Hepatology and Drug Targeting (HEVEFARM) Group, University of Salamanca, IBSAL, 37007 Salamanca, Spain.
Ricardo Espinosa-EscuderoExperimental Hepatology and Drug Targeting (HEVEFARM) Group, University of Salamanca, IBSAL, 37007 Salamanca, Spain.
Maria ReviejoExperimental Hepatology and Drug Targeting (HEVEFARM) Group, University of Salamanca, IBSAL, 37007 Salamanca, Spain.
Laura H BohorquezExperimental Hepatology and Drug Targeting (HEVEFARM) Group, University of Salamanca, IBSAL, 37007 Salamanca, Spain.
Oscar BrizExperimental Hepatology and Drug Targeting (HEVEFARM) Group, University of Salamanca, IBSAL, 37007 Salamanca, Spain.ORCID 0000-0001-6891-1554
Universidad de Salamanca · ES

Funding

PLANT MODELS FOR UV-INDUCED DEFENSE SYSTEMSF06TW002020 · FIC · OREGON STATE UNIVERSITY · PI HAYS, JOHN B · 1994 to 1995
–
Centro Internacional sobre el Envejecimiento OLD-HEPAMARKER, 0348_CIE_6_ECIBERehd EHD15PI05/2016Consejería de Educación, Junta de Castilla y León SA063P17Fundación Científica Asociación Española Contra el Cáncer 2017/2020Fundación Universidad de Salamanca PC-TCUE18-20_051Instituto de Salud Carlos III PI16/00598Instituto de Salud Carlos III PI19/00819Spanish Ministry of Economy, Industry and Competitiveness SAF2016-75197-R
6 · The paper itself

Abstract

The poor outcome of patients with non-surgically removable advanced hepatocellular carcinoma (HCC), the most frequent type of primary liver cancer, is mainly due to the high refractoriness of this aggressive tumor to classical chemotherapy. Novel pharmacological approaches based on the use of inhibitors of tyrosine kinases (TKIs), mainly sorafenib and regorafenib, have provided only a modest prolongation of the overall survival in these HCC patients. The present review is an update of the available information regarding our understanding of the molecular bases of mechanisms of chemoresistance (MOC) with a significant impact on the response of HCC to existing pharmacological tools, which include classical chemotherapeutic agents, TKIs and novel immune-sensitizing strategies. Many of the more than one hundred genes involved in seven MOC have been identified as potential biomarkers to predict the failure of treatment, as well as druggable targets to develop novel strategies aimed at increasing the sensitivity of HCC to pharmacological treatments.

Indexed as

apoptosiscancer stem cellDNA repairepithelial-mesenchymal transitionliver cancermetabolismmultidrug resistancerefractorinesstransporttumor environment

Identifiers

PMID32585893
PMCPMC7352164
OpenAlexW3036726575

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.