Evidence map›Paper›PMID 32751679›Full record

ReviewCancers2020

Molecular Bases of Mechanisms Accounting for Drug Resistance in Gastric Adenocarcinoma.

Jose J G Marin, Laura Perez-Silva, Rocio I R Macias, Maitane Asensio, Ana Peleteiro-Vigil, Anabel Sanchez-Martin, Candela Cives-Losada, Paula Sanchon-Sanchez, Beatriz Sanchez De Blas, Elisa Herraez 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 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
3.3field-weighted citation impact, top 6% 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

31 citing papers in PubMed, 60 citations in OpenAlex.

  1. Mechanisms of chemoresistance in gastric cancer: interplay between microRNAs and the tumor microenvironment.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Identification of 8-gene risk prediction signature associated withJournal of gastrointestinal oncology · 2022
    Article
  18. Review
  19. Article
  20. Article
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), University of Salamanca, IBSAL, 37007 Salamanca, Spain.ORCID 0000-0003-1186-6849
Laura Perez-SilvaExperimental Hepatology and Drug Targeting (HEVEFARM), University of Salamanca, IBSAL, 37007 Salamanca, Spain.
Rocio I R MaciasExperimental Hepatology and Drug Targeting (HEVEFARM), University of Salamanca, IBSAL, 37007 Salamanca, Spain.ORCID 0000-0002-4748-0326
Maitane AsensioExperimental Hepatology and Drug Targeting (HEVEFARM), University of Salamanca, IBSAL, 37007 Salamanca, Spain.
Ana Peleteiro-VigilExperimental Hepatology and Drug Targeting (HEVEFARM), University of Salamanca, IBSAL, 37007 Salamanca, Spain.
Anabel Sanchez-MartinExperimental Hepatology and Drug Targeting (HEVEFARM), University of Salamanca, IBSAL, 37007 Salamanca, Spain.
Candela Cives-LosadaExperimental Hepatology and Drug Targeting (HEVEFARM), University of Salamanca, IBSAL, 37007 Salamanca, Spain.
Paula Sanchon-SanchezExperimental Hepatology and Drug Targeting (HEVEFARM), University of Salamanca, IBSAL, 37007 Salamanca, Spain.ORCID 0000-0003-2649-8778
Beatriz Sanchez De BlasExperimental Hepatology and Drug Targeting (HEVEFARM), University of Salamanca, IBSAL, 37007 Salamanca, Spain.
Elisa HerraezExperimental Hepatology and Drug Targeting (HEVEFARM), University of Salamanca, IBSAL, 37007 Salamanca, Spain.ORCID 0000-0001-9271-3320
Oscar BrizExperimental Hepatology and Drug Targeting (HEVEFARM), University of Salamanca, IBSAL, 37007 Salamanca, Spain.ORCID 0000-0001-6891-1554
Elisa LozanoExperimental Hepatology and Drug Targeting (HEVEFARM), University of Salamanca, IBSAL, 37007 Salamanca, Spain.
Universidad de Salamanca · ES

Funding

PLANT MODELS FOR UV-INDUCED DEFENSE SYSTEMSF06TW002020 · FIC · OREGON STATE UNIVERSITY · PI HAYS, JOHN B · 1994 to 1995
–
AECC Scientific Foundation 2017/2020Centro Internacional sobre el Envejecimiento OLD-HEPAMARKER, 0348_CIE_6_ECIBERehd EHD15PI05/2016Fondo de Investigaciones Sanitarias, Instituto de Salud Carlos III and European Regional Development Fund/European Social Fund PI19/00819Fundación University of Salamanca PC-TCUE18-20_051Instituto de Salud Carlos III PI16/00598Junta de Castilla y Leon SA063P17Spanish Ministry of Economy, Industry and Competitiveness SAF2016-75197-R
6 · The paper itself

Abstract

Gastric adenocarcinoma (GAC) is the most common histological type of gastric cancer, the fifth according to the frequency and the third among the deadliest cancers. GAC high mortality is due to a combination of factors, such as silent evolution, late clinical presentation, underlying genetic heterogeneity, and effective mechanisms of chemoresistance (MOCs) that make the available antitumor drugs scarcely useful. MOCs include reduced drug uptake (MOC-1a), enhanced drug efflux (MOC-1b), low proportion of active agents in tumor cells due to impaired pro-drug activation or active drug inactivation (MOC-2), changes in molecular targets sensitive to anticancer drugs (MOC-3), enhanced ability of cancer cells to repair drug-induced DNA damage (MOC-4), decreased function of pro-apoptotic factors versus up-regulation of anti-apoptotic genes (MOC-5), changes in tumor cell microenvironment altering the response to anticancer agents (MOC-6), and phenotypic transformations, including epithelial-mesenchymal transition (EMT) and the appearance of stemness characteristics (MOC-7). This review summarizes updated information regarding the molecular bases accounting for these mechanisms and their impact on the lack of clinical response to the pharmacological treatment currently used in GAC. This knowledge is required to identify novel biomarkers to predict treatment failure and druggable targets, and to develop sensitizing strategies to overcome drug refractoriness in GAC.

Indexed as

apoptosischemoresistanceDNA repairepithelial-mesenchymal transitiongastric cancermetabolismrefractorinessstomachtransporttumor environment

Identifiers

PMID32751679
PMCPMC7463778
OpenAlexW3046148821

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.