Evidence map›Paper›PMID 31249353›Full record

ArticleScientific reports2019

Interplay of Darwinian Selection, Lamarckian Induction and Microvesicle Transfer on Drug Resistance in Cancer.

Arturo Álvarez-Arenas, Ana Podolski-Renic, Juan Belmonte-Beitia, Milica Pesic, Gabriel F Calvo

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
5.2field-weighted citation impact, top 4% 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

24 citing papers in PubMed, 57 citations in OpenAlex.

  1. Article
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  5. Review
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  8. Article
  9. Article
  10. Article
  11. Impact of genetic variants in the solute carrier (Cancer drug resistance (Alhambra, Calif.) · 2024
    Review
  12. Article
  13. Review
  14. An EpigeneticInternational journal of molecular sciences · 2022
    Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Single-cell RNA sequencing in cancer research.Journal of experimental & clinical cancer research : CR · 2021
    Review
  20. Evolutionary dynamics at the tumor edge reveal metabolic imaging biomarkers.Proceedings of the National Academy of Sciences of the United States of America · 2021
    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

5 authors at 2 institutions in 2 countries.

Arturo Álvarez-ArenasDepartment of Mathematics & MOLAB-Mathematical Oncology Laboratory, University of Castilla-La Mancha, 13071, Ciudad Real, Spain.ORCID http://orcid.org/0000-0002-8002-0903
Ana Podolski-RenicInstitute for Biological Research "Siniša Stanković", University of Belgrade, Despota Stefana 142, 11060, Belgrade, Serbia.
Juan Belmonte-BeitiaDepartment of Mathematics & MOLAB-Mathematical Oncology Laboratory, University of Castilla-La Mancha, 13071, Ciudad Real, Spain.
Milica PesicInstitute for Biological Research "Siniša Stanković", University of Belgrade, Despota Stefana 142, 11060, Belgrade, Serbia.ORCID http://orcid.org/0000-0002-9045-8239
Gabriel F CalvoDepartment of Mathematics & MOLAB-Mathematical Oncology Laboratory, University of Castilla-La Mancha, 13071, Ciudad Real, Spain. gabriel.fernandez@uclm.es.
University of Castilla-La Mancha · ESUniversity of Belgrade · RS

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Development of drug resistance in cancer has major implications for patients' outcome. It is related to processes involved in the decrease of drug efficacy, which are strongly influenced by intratumor heterogeneity and changes in the microenvironment. Heterogeneity arises, to a large extent, from genetic mutations analogously to Darwinian evolution, when selection of tumor cells results from the adaptation to the microenvironment, but could also emerge as a consequence of epigenetic mutations driven by stochastic events. An important exogenous source of alterations is the action of chemotherapeutic agents, which not only affects the signalling pathways but also the interactions among cells. In this work we provide experimental evidence from in vitro assays and put forward a mathematical kinetic transport model to describe the dynamics displayed by a system of non-small-cell lung carcinoma cells (NCI-H460) which, depending on the effect of a chemotherapeutic agent (doxorubicin), exhibits a complex interplay between Darwinian selection, Lamarckian induction and the nonlocal transfer of extracellular microvesicles. The role played by all of these processes to multidrug resistance in cancer is elucidated and quantified.

Indexed as

Selection, GeneticAlgorithmsAntibiotics, AntineoplasticBiological EvolutionBiological TransportCell-Derived MicroparticlesCell ProliferationDoxorubicinDrug Resistance, NeoplasmHumansModels, BiologicalNeoplasmsAntibiotics, AntineoplasticDoxorubicin

Identifiers

PMID31249353
PMCPMC6597577
OpenAlexW2953572098

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.