Evidence map›Paper›PMID 36155740›Full record

ArticleThe Journal of cell biology2022

In vivo 3D profiling of site-specific human cancer cell morphotypes in zebrafish.

Dagan Segal, Hanieh Mazloom-Farsibaf, Bo-Jui Chang, Philippe Roudot, Divya Rajendran, Stephan Daetwyler, Reto Fiolka, Mikako Warren, James F Amatruda, Gaudenz Danuser

Abstract read
In one paragraph

Article in The Journal of cell biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Quantitative cell imaging approaches to metastatic state profiling.Frontiers in cell and developmental biology · 2022
    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

10 authors.

Dagan SegalLyda Hill Department of Bioinformatics, UT Southwestern Medical Center, Dallas, TX.ORCID 0000-0003-0852-6501
Hanieh Mazloom-FarsibafLyda Hill Department of Bioinformatics, UT Southwestern Medical Center, Dallas, TX.
Bo-Jui ChangLyda Hill Department of Bioinformatics, UT Southwestern Medical Center, Dallas, TX.ORCID 0000-0002-5513-7106
Philippe RoudotLyda Hill Department of Bioinformatics, UT Southwestern Medical Center, Dallas, TX.ORCID 0000-0001-6632-8728
Divya RajendranLyda Hill Department of Bioinformatics, UT Southwestern Medical Center, Dallas, TX.
Stephan DaetwylerLyda Hill Department of Bioinformatics, UT Southwestern Medical Center, Dallas, TX.
Reto FiolkaLyda Hill Department of Bioinformatics, UT Southwestern Medical Center, Dallas, TX.
Mikako WarrenDepartment of Pathology and Laboratory Medicine, Children's Hospital Los Angeles, Keck School of Medicine, University of Southern California, Los Angeles, CA.
James F AmatrudaCancer and Blood Disease Institute, Children's Hospital Los Angeles, Keck School of Medicine, University of Southern California, Los Angeles, CA.ORCID 0000-0002-9901-2137
Gaudenz DanuserLyda Hill Department of Bioinformatics, UT Southwestern Medical Center, Dallas, TX.ORCID 0000-0001-8583-2014

Funding

Technical Development Unit 2: Intelligent Hyperspectral Imaging of Subcellular Molecular States at the Whole Organ LevelU54CA268072 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI SEAN J MORRISON · 2021 to 2026
$9.1M
Functional causality in regulating cell morphogenesisR35GM136428 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI DANUSER, GAUDENZ · 2020 to 2024
$4.1M
Multiscale microscope for 3D cancer imaging in model organisms and organoidsR33CA235254 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI FIOLKA, RETO PAUL · 2019 to 2021
$930k
European Molecular Biology Organization ALTF 626-2018NCI NIH HHS R33 CA235254NCI NIH HHS U54 CA268072NIGMS NIH HHS R35 GM136428
6 · The paper itself

Abstract

Tissue microenvironments affect the functional states of cancer cells, but determining these influences in vivo has remained a challenge. We present a quantitative high-resolution imaging assay of single cancer cells in zebrafish xenografts to probe functional adaptation to variable cell-extrinsic cues and molecular interventions. Using cell morphology as a surrogate readout of cell functional states, we examine environmental influences on the morphotype distribution of Ewing Sarcoma, a pediatric cancer associated with the oncogene EWSR1-FLI1 and whose plasticity is thought to determine disease outcome through non-genomic mechanisms. Computer vision analysis reveals systematic shifts in the distribution of 3D morphotypes as a function of cell type and seeding site, as well as tissue-specific cellular organizations that recapitulate those observed in human tumors. Reduced expression of the EWSR1-FLI1 protein product causes a shift to more protrusive cells and decreased tissue specificity of the morphotype distribution. Overall, this work establishes a framework for a statistically robust study of cancer cell plasticity in diverse tissue microenvironments.

Indexed as

Sarcoma, EwingZebrafishAnimalsCell Line, TumorDisease Models, AnimalHumansImaging, Three-DimensionalOncogene Proteins, FusionTumor MicroenvironmentEWSR1-FLI1 fusion protein, humanOncogene Proteins, Fusion

Identifiers

PMID36155740
PMCPMC9516844

What Socratic holds

Textmetadata
LicenceCC BY-NC-SA
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.