Evidence map›Paper›PMID 32258040›Full record

ReviewFrontiers in cell and developmental biology2020

Modeling Cell Communication in Cancer With Organoids: Making the Complex Simple.

Elena Fiorini, Lisa Veghini, Vincenzo Corbo

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in cell and developmental biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 1 pooled it
6.1field-weighted citation impact, top 3% 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

66 citing papers in PubMed, 1 synthesis or guideline pooled it, 102 citations in OpenAlex.

  1. Critical Systematic Review of 3D Bioprinting in Biomedicine.International journal of molecular sciences · 2025
    Pooled it
  2. Review
  3. Review
  4. Review
  5. Review
  6. Tumor organoid-immune cell co-culture systems for precision oncology.Frontiers in cell and developmental biology · 2026
    Review
  7. Review
  8. Review
  9. Review
  10. Review
  11. Cancer Organoids as reliable disease models to drive clinical development of novel therapies.Journal of experimental & clinical cancer research : CR · 2024
    Article
  12. Review
  13. Article
  14. Review
  15. Article
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  20. Review

6 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

3 authors at 1 institution in 1 country.

Elena FioriniDepartment of Diagnostics and Public Health, University of Verona, Verona, Italy.
Lisa VeghiniDepartment of Diagnostics and Public Health, University of Verona, Verona, Italy.
Vincenzo CorboDepartment of Diagnostics and Public Health, University of Verona, Verona, Italy.
University of Verona · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Homotypic and heterotypic interactions between cells are of crucial importance in multicellular organisms for the maintenance of physiological functions. Accordingly, changes in cell-to-cell communication contribute significantly to tumor development. Cancer cells engage the different components of the tumor microenvironment (TME) to support malignant proliferation, escape immune control, and favor metastatic spreading. The interaction between cancerous and non-cancerous cell types within tumors occurs in many ways, including physical contact and paracrine signaling. Furthermore, local and long-range transfer of biologically active molecules (e.g., DNA, RNA, and proteins) can be mediated by small extracellular vesicles (EVs) and this has been shown to influence many aspects of tumor progression. As it stands, there is a critical need for suitable experimental systems that enable modeling the cell-to-cell communications occurring in cancer. Given their intrinsic complexity, animal models represent the ideal system to study cell-to-cell interaction between different cell types; however, they might make difficult to assess individual contribution to a given phenotype. On the other hand, simplest experimental models (i.e.,

Indexed as

co-culture systemsextracellular matrixextracellular vesiclesorganoidstumor microenvironment

Identifiers

PMID32258040
PMCPMC7094029
OpenAlexW3011158433

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.