Evidence map›Paper›PMID 35406768›Full record

SynthesisCells2022

Patient-Derived Xenotransplant of CNS Neoplasms in Zebrafish: A Systematic Review.

Beatriz E Sarmiento, Santiago Callegari, Kemel A Ghotme, Veronica Akle

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Cells, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 40% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

4 authors at 2 institutions in 1 country.

Beatriz E SarmientoSchool of Medicine, Universidad de Los Andes, Bogotá 11711, Colombia.ORCID 0000-0002-0793-6472
Santiago CallegariSchool of Medicine, Universidad de Los Andes, Bogotá 11711, Colombia.ORCID 0000-0003-3317-1845
Kemel A GhotmeDepartment of Neurosurgery, Fundación Santa Fe de Bogotá, Bogotá 111071, Colombia.
Veronica AkleSchool of Medicine, Universidad de Los Andes, Bogotá 11711, Colombia.ORCID 0000-0002-2050-5511
Universidad de Los Andes · COUniversidad de La Sabana · CO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioblastoma and neuroblastoma are the most common central nervous system malignant tumors in adult and pediatric populations. Both are associated with poor survival. These tumors are highly heterogeneous, having complex interactions among different cells within the tumor and with the tumor microenvironment. One of the main challenges in the neuro-oncology field is achieving optimal conditions to evaluate a tumor's molecular genotype and phenotype. In this respect, the zebrafish biological model is becoming an excellent alternative for studying carcinogenic processes and discovering new treatments. This review aimed to describe the results of xenotransplantation of patient-derived CNS tumors in zebrafish models. The reviewed studies show that it is possible to maintain glioblastoma and neuroblastoma primary cell cultures and transplant the cells into zebrafish embryos. The zebrafish is a suitable biological model for understanding tumor progression and the effects of different treatments. This model offers new perspectives in providing personalized care and improving outcomes for patients living with central nervous system tumors.

Indexed as

Central Nervous System NeoplasmsGlioblastomaNeuroblastomaAnimalsHumansTumor MicroenvironmentZebrafishCNS neoplasmsglioblastomaneuroblastomapatient-derivedxenotransplantzebrafish

Identifiers

PMID35406768
PMCPMC8998145
OpenAlexW4223551051

What Socratic 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 Socratic graph.