Evidence map›Paper›PMID 36538362›Full record

RevieweLife2022

Shifting the focus of zebrafish toward a model of the tumor microenvironment.

Joshua M Weiss, Dianne Lumaquin-Yin, Emily Montal, Shruthy Suresh, Carl S Leonhardt, Richard M White

Abstract readReview
In one paragraph

Review in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
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

17 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Small Fish, Big Answers: Zebrafish and the Molecular Drivers of Metastasis.International journal of molecular sciences · 2025
    Review
  7. Review
  8. Review
  9. Review
  10. Article
  11. Article
  12. Progress in characterizing ABC multidrug transporters in zebrafish.Drug resistance updates : reviews and commentaries in antimicrobial and anticancer chemotherapy · 2024
    Article
  13. Review
  14. Review
  15. Review
  16. Review
  17. Review
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

6 authors.

Joshua M Weiss *Weill-Cornel Medical College, Tri-Institutional M.D./Ph.D. Program, New York, United States.ORCID 0000-0001-7340-4004
Dianne Lumaquin-Yin *Weill-Cornel Medical College, Tri-Institutional M.D./Ph.D. Program, New York, United States.ORCID 0000-0002-5285-0467
Emily Montal *Memorial Sloan Kettering Cancer Center, Department of Cancer Biology & Genetics, New York, United States.
Shruthy Suresh *Memorial Sloan Kettering Cancer Center, Department of Cancer Biology & Genetics, New York, United States.
Carl S Leonhardt *Memorial Sloan Kettering Cancer Center, Department of Cancer Biology & Genetics, New York, United States.
Richard M WhiteMemorial Sloan Kettering Cancer Center, Department of Cancer Biology & Genetics, New York, United States.ORCID 0000-0001-9099-9169

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
Dissecting the complexity of metastasis with mathematical models and quantitative experiments with in zebrafishR01CA229215 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI WHITE, RICHARD MARK, XAVIER, JOAO · 2018 to 2022
$3.1M
Evolutionary dynamics of melanoma metastasisDP2CA186572 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI WHITE, RICHARD MARK · 2013 to 2013
$2.7M
Lipid programs in melanocyte transformationR01CA238317 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI OVERHOLTZER, MICHAEL H., WHITE, RICHARD MARK · 2020 to 2025
$2.0M
NCI NIH HHS DP2 CA186572NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA229215NCI NIH HHS R01 CA238317
6 · The paper itself

Abstract

Cancer cells exist in a complex ecosystem with numerous other cell types in the tumor microenvironment (TME). The composition of this tumor/TME ecosystem will vary at each anatomic site and affects phenotypes such as initiation, metastasis, and drug resistance. A mechanistic understanding of the large number of cell-cell interactions between tumor and TME requires models that allow us to both characterize as well as genetically perturb this complexity. Zebrafish are a model system optimized for this problem, because of the large number of existing cell-type-specific drivers that can label nearly any cell in the TME. These include stromal cells, immune cells, and tissue resident normal cells. These cell-type-specific promoters/enhancers can be used to drive fluorophores to facilitate imaging and also CRISPR cassettes to facilitate perturbations. A major advantage of the zebrafish is the ease by which large numbers of TME cell types can be studied at once, within the same animal. While these features make the zebrafish well suited to investigate the TME, the model has important limitations, which we also discuss. In this review, we describe the existing toolset for studying the TME using zebrafish models of cancer and highlight unique biological insights that can be gained by leveraging this powerful resource.

Indexed as

NeoplasmsZebrafishAnimalsEcosystemModels, BiologicalTumor Microenvironmentcancercancer biologymicroenvironmentzebrafish

Identifiers

PMID36538362
PMCPMC9767465

What OpenQuestion holds

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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.