Evidence map›Paper›PMID 32251397›Full record

ReviewNature reviews. Cancer2020

Zebrafish patient avatars in cancer biology and precision cancer therapy.

Maurizio Fazio, Julien Ablain, Yan Chuan, David M Langenau, Leonard I Zon

Open access · greenAbstract readReview
In one paragraph

Review in Nature reviews. Cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 126 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
126citing papers in PubMed, 2 pooled it
18.7field-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

126 citing papers in PubMed, 2 syntheses or guidelines pooled it, 258 citations in OpenAlex.

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66 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

5 authors at 2 institutions in 1 country.

Maurizio FazioStem Cell Program and Division of Hematology/Oncology, Boston Children's Hospital and Dana-Farber Cancer Institute, Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0003-0083-6601
Julien AblainStem Cell Program and Division of Hematology/Oncology, Boston Children's Hospital and Dana-Farber Cancer Institute, Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA.
Yan ChuanMolecular Pathology Unit, Cancer Center, Massachusetts General Hospital Research Institute, Charlestown, MA, USA.ORCID http://orcid.org/0000-0002-0449-7072
David M LangenauMolecular Pathology Unit, Cancer Center, Massachusetts General Hospital Research Institute, Charlestown, MA, USA.ORCID http://orcid.org/0000-0001-6664-8318
Leonard I ZonStem Cell Program and Division of Hematology/Oncology, Boston Children's Hospital and Dana-Farber Cancer Institute, Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA. zon@enders.harvard.edu.ORCID http://orcid.org/0000-0003-0860-926X
Boston Children's Hospital · USMassachusetts General Hospital · US

Funding

Transcriptional mechanisms and melanomaP01CA163222 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI DAVID E FISHER · 2013 to 2026
$25.3M
Cancer Biology in the ZebrafishR01CA103846 · NCI · CHILDREN'S HOSPITAL BOSTON · PI ZON, LEONARD IRA · 2003 to 2022
$7.5M
Immune Compromises Zebrafish for Cell TransplantationR24OD016761 · OD · MASSACHUSETTS GENERAL HOSPITAL · PI LANGENAU, DAVID MICHAEL · 2013 to 2021
$5.2M
Genetics of RhabdomyosarcomaR01CA154923 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI LANGENAU, DAVID MICHAEL · 2011 to 2021
$3.8M
Oncogenic pathways and therapeutic targets in T cell acute lymphoblastic leukemiaR01CA211734 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI LANGENAU, DAVID MICHAEL · 2017 to 2021
$1.9M
New models and therapeutic approaches in alveolar rhabdomyosarcomaR01CA226926 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI LANGENAU, DAVID MICHAEL · 2018 to 2022
$1.9M
Stem cell self-renewal programs in rhabdomyosarcomaR01CA215118 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI LANGENAU, DAVID MICHAEL · 2018 to 2022
$1.9M
Howard Hughes Medical InstituteNCI NIH HHS P01 CA163222NCI NIH HHS R01 CA103846NCI NIH HHS R01 CA154923NCI NIH HHS R01 CA211734NCI NIH HHS R01 CA215118NCI NIH HHS R01 CA226926NIH HHS R24 OD016761
6 · The paper itself

Abstract

In precision oncology, two major strategies are being pursued for predicting clinically relevant tumour behaviours, such as treatment response and emergence of drug resistance: inference based on genomic, transcriptomic, epigenomic and/or proteomic analysis of patient samples, and phenotypic assays in personalized cancer avatars. The latter approach has historically relied on in vivo mouse xenografts and in vitro organoids or 2D cell cultures. Recent progress in rapid combinatorial genetic modelling, the development of a genetically immunocompromised strain for xenotransplantation of human patient samples in adult zebrafish and the first clinical trial using xenotransplantation in zebrafish larvae for phenotypic testing of drug response bring this tiny vertebrate to the forefront of the precision medicine arena. In this Review, we discuss advances in transgenic and transplantation-based zebrafish cancer avatars, and how these models compare with and complement mouse xenografts and human organoids. We also outline the unique opportunities that these different models present for prediction studies and current challenges they face for future clinical deployment.

Indexed as

ZebrafishAnimalsAntineoplastic AgentsDisease Models, AnimalHumansNeoplasmsPrecision MedicineXenograft Model Antitumor AssaysAntineoplastic Agents

Identifiers

PMID32251397
PMCPMC8011456
OpenAlexW3014569644

What OpenQuestion holds

Textmetadata
LicenceTDM
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.