Evidence map›Paper›PMID 31557977›Full record

ReviewJournal of clinical medicine2019

Dynamics of Phenotypic Heterogeneity Associated with EMT and Stemness during Cancer Progression

Mohit Kumar Jolly, Toni Celià-Terrassa

Open access · goldAbstract readReview
In one paragraph

Review in Journal of clinical medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed
9.7field-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

69 citing papers in PubMed, 128 citations in OpenAlex.

  1. Review
  2. Review
  3. Oncology letters · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Factors Determining Epithelial-Mesenchymal Transition in Cancer Progression.International journal of molecular sciences · 2024
    Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. An In Vitro Approach to Model EMT in Breast Cancer.International journal of molecular sciences · 2023
    Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Review
  20. Article

9 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

2 authors at 2 institutions in 2 countries.

Mohit Kumar JollyCentre for BioSystems Science and Engineering, Indian Institute of Science, Bangalore 560012, India. mkjolly@iisc.ac.in.
Toni Celià-TerrassaCancer Research Program, IMIM (Hospital del Mar Medical Research Institute), 08003 Barcelona, Spain. acelia@imim.es.
Hospital Del Mar · ESIndian Institute of Science Bangalore · IN

Funding

Instituto de Salud Carlos III-FSE MS17/00037; PI18/00014Science and Engineering Research Board SB/S2/RJN-049/2018
6 · The paper itself

Abstract

Genetic and phenotypic heterogeneity contribute to the generation of diverse tumor cell populations, thus enhancing cancer aggressiveness and therapy resistance. Compared to genetic heterogeneity, a consequence of mutational events, phenotypic heterogeneity arises from dynamic, reversible cell state transitions in response to varying intracellular/extracellular signals. Such phenotypic plasticity enables rapid adaptive responses to various stressful conditions and can have a strong impact on cancer progression. Herein, we have reviewed relevant literature on mechanisms associated with dynamic phenotypic changes and cellular plasticity, such as epithelial-mesenchymal transition (EMT) and cancer stemness, which have been reported to facilitate cancer metastasis. We also discuss how non-cell-autonomous mechanisms such as cell-cell communication can lead to an emergent population-level response in tumors. The molecular mechanisms underlying the complexity of tumor systems are crucial for comprehending cancer progression, and may provide new avenues for designing therapeutic strategies.

Indexed as

cancer stem cellscell plasticitycellular dynamicsepithelial-to-mesenchymal transitionmathematical modelingpopulation homeostasis

Identifiers

PMID31557977
PMCPMC6832750
OpenAlexW2976641950

What Socratic 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 Socratic graph.