Evidence map›Paper›PMID 26282170›Full record

ArticleCancer research2015

A Quantitative System for Studying Metastasis Using Transparent Zebrafish.

Silja Heilmann, Kajan Ratnakumar, Erin Langdon, Emily Kansler, Isabella Kim, Nathaniel R Campbell, Elizabeth Perry, Amy McMahon, Charles Kaufman, Ellen van Rooijen and 6 more

Abstract read
In one paragraph

Article in Cancer research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers.

0numbers the graph read from it
0cells of the map it votes in
81citing 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

81 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Emerging Frontiers in Zebrafish Embryonic and Adult-Derived Cell Lines.International journal of molecular sciences · 2025
    Review
  6. Article
  7. Small Fish, Big Answers: Zebrafish and the Molecular Drivers of Metastasis.International journal of molecular sciences · 2025
    Review
  8. Article
  9. Article
  10. A dual ribosomal system in the zebrafish soma and germline.bioRxiv : the preprint server for biology · 2024
    Article
  11. Article
  12. Article
  13. Cancer Modeling by Transgene Electroporation in Adult Zebrafish (TEAZ).Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Review
  19. Article
  20. Article

21 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

16 authors.

Silja Heilmann *Memorial Sloan Kettering Cancer Center, Computational Biology.
Kajan Ratnakumar *Memorial Sloan Kettering Cancer Center, Cancer Biology & Genetics.
Erin LangdonMemorial Sloan Kettering Cancer Center, Cancer Biology & Genetics.
Emily KanslerMemorial Sloan Kettering Cancer Center, Cancer Biology & Genetics.
Isabella KimMemorial Sloan Kettering Cancer Center, Cancer Biology & Genetics.
Nathaniel R CampbellWeill Cornell/Rockefeller/Sloan-Kettering Tri-Institutional MD-PhD Program.
Elizabeth PerryMemorial Sloan Kettering Cancer Center, Cancer Biology & Genetics.
Amy McMahonMassachusetts Institute of Technology, David Koch Institute for Integrated Cancer Biology.
Charles KaufmanChildren's Hospital Boston.
Ellen van RooijenChildren's Hospital Boston.
William LeeMemorial Sloan Kettering Cancer Center, Computational Biology.
Christine Iacobuzio-DonahueMemorial Sloan Kettering Cancer Center, Pathology.
Richard HynesMassachusetts Institute of Technology, David Koch Institute for Integrated Cancer Biology.
Leonard ZonChildren's Hospital Boston.
Joao XavierMemorial Sloan Kettering Cancer Center, Computational Biology.
Richard WhiteMemorial Sloan Kettering Cancer Center, Cancer Biology & Genetics.

Funding

Cancer Biology in the ZebrafishR01CA103846 · NCI · CHILDREN'S HOSPITAL BOSTON · PI ZON, LEONARD IRA · 2003 to 2022
$7.5M
EMBRYONIC HEMATOPOIESISR01HL048801 · NHLBI · CHILDREN'S HOSPITAL BOSTON · PI ZON, LEONARD IRA · 1992 to 2016
$5.7M
Evolutionary dynamics of melanoma metastasisDP2CA186572 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI WHITE, RICHARD MARK · 2013 to 2013
$2.7M
Translational Research in Oncology Training ProgramT32CA160001 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI SAWYERS, CHARLES L. · 2011 to 2020
$2.0M
The role of melanocyte precursors in zebrafish pigmentation disordersK08AR055368 · NIAMS · SLOAN-KETTERING INST CAN RESEARCH · PI WHITE, RICHARD MARK · 2009 to 2013
$635k
NCI NIH HHS 5T32CA160001NCI NIH HHS DP2 CA186572NCI NIH HHS DP2CA186572NCI NIH HHS R01 CA103846NCI NIH HHS T32 CA160001NHLBI NIH HHS R01 HL048801NIAMS NIH HHS K08 AR055368NIAMS NIH HHS K08AR055368
6 · The paper itself

Abstract

Metastasis is the defining feature of advanced malignancy, yet remains challenging to study in laboratory environments. Here, we describe a high-throughput zebrafish system for comprehensive, in vivo assessment of metastatic biology. First, we generated several stable cell lines from melanomas of transgenic mitfa-BRAF(V600E);p53(-/-) fish. We then transplanted the melanoma cells into the transparent casper strain to enable highly quantitative measurement of the metastatic process at single-cell resolution. Using computational image analysis of the resulting metastases, we generated a metastasis score, μ, that can be applied to quantitative comparison of metastatic capacity between experimental conditions. Furthermore, image analysis also provided estimates of the frequency of metastasis-initiating cells (∼1/120,000 cells). Finally, we determined that the degree of pigmentation is a key feature defining cells with metastatic capability. The small size and rapid generation of progeny combined with superior imaging tools make zebrafish ideal for unbiased high-throughput investigations of cell-intrinsic or microenvironmental modifiers of metastasis. The approaches described here are readily applicable to other tumor types and thus serve to complement studies also employing murine and human cell culture systems.

Indexed as

Models, BiologicalZebrafishAlgorithmsAnimalsAnimals, Genetically ModifiedCell Line, TumorDisease Models, AnimalGene Expression ProfilingMelanomaMutationNeoplasm MetastasisNeoplasmsTranscriptome

Identifiers

PMID26282170
PMCPMC4609292

What OpenQuestion holds

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Registered trials

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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.