Evidence map›Paper›PMID 35044653›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

Zebrafish Xenograft Model to Study Human Cancer.

Ranganatha R Somasagara, TinChung Leung

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

2 authors.

Ranganatha R SomasagaraThe Julius L. Chambers Biomedical/Biotechnology Research Institute, North Carolina Central University, North Carolina Research Campus, Kannapolis, NC, USA.
TinChung LeungThe Julius L. Chambers Biomedical/Biotechnology Research Institute, North Carolina Central University, North Carolina Research Campus, Kannapolis, NC, USA. tleung@nccu.edu.

Funding

Understanding Perceptions of HIV Risk, PrEP, and PrEP use among African American Women Attending an HBCUU54MD012392 · NIMHD · NORTH CAROLINA CENTRAL UNIVERSITY · PI Cherise Baldwin Harrington · 2017 to 2026
$38.1M
Targeting the MEKK2-ERK5 Signaling Node in Triple Negative Breast CancerU54CA156735 · NCI · NORTH CAROLINA CENTRAL UNIVERSITY · PI RICHARDSON, MICHELER RICARDO · 2010 to 2021
$13.0M
NCI NIH HHS U54 CA156735NIMHD NIH HHS U54 MD012392
6 · The paper itself

Abstract

The zebrafish, Danio rerio, has been an important animal model for cancer research over the last decade. The capability of a high-throughput screen in zebrafish and a wide range of pharmacologically active compounds elicit physiological responses in zebrafish embryos comparable to those in mammalian systems, making zebrafish ideal for identifying clinically relevant drug targets and compounds that regulate tumor progression. The zebrafish model is suitable for patient-derived xenograft (pdx) and large-scale screening of lead compounds against specific malignancies. This established vertebrate model has many advantages, including fast response time, cost efficiency for drug testing, efficient manipulation of the host microenvironment by genetic tools, suitable for small molecule drug screening in high-throughput setting, easy maintenance, transparency for easy observation, high fecundity, and rapid generation time. The zebrafish model is a good alternative in vivo model to mammals for robust testing of drug candidates for cancer therapy.

Indexed as

NeoplasmsZebrafishAnimalsDisease Models, AnimalHeterograftsHumansMammalsTumor MicroenvironmentCancerDrug screeningTransplantationXenograftZebrafish

Identifiers

PMID35044653

What OpenQuestion holds

Textmetadata
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.