Evidence map›Paper›PMID 33780951›Full record

ReviewCells, tissues, organs2022

Applications of the Chick Chorioallantoic Membrane as an Alternative Model for Cancer Studies.

Pei-Yu Chu, Angele Pei-Fern Koh, Jane Antony, Ruby Yun-Ju Huang

Abstract readReview
In one paragraph

Review in Cells, tissues, organs, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed, 1 pooled it
–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

68 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  17. Beyond Rodents: Alternative Animal Models in Colorectal Cancer Research.International journal of molecular sciences · 2025
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8 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

4 authors.

Pei-Yu ChuGraduate Institute of Pharmacology, College of Medicine, National Taiwan University, Taipei, Taiwan.
Angele Pei-Fern KohCancer Science Institute of Singapore, Center for Translational Medicine, National University of Singapore, Singapore, Singapore.
Jane AntonyInstitute for Stem Cell Biology and Regenerative Medicine, Stanford, California, USA.
Ruby Yun-Ju HuangSchool of Medicine and Graduate Institute of Oncology, College of Medicine, National Taiwan University, Taipei, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A variety of in vivo experimental models have been established for the studies of human cancer using both cancer cell lines and patient-derived xenografts (PDXs). In order to meet the aspiration of precision medicine, the in vivomurine models have been widely adopted. However, common constraints such as high cost, long duration of experiments, and low engraftment efficiency remained to be resolved. The chick embryo chorioallantoic membrane (CAM) is an alternative model to overcome some of these limitations. Here, we provide an overview of the applications of the chick CAM model in the study of oncology. The CAM model has shown significant retention of tumor heterogeneity alongside increased xenograft take rates in several PDX studies. Various imaging techniques and data analysis have been applied to study tumor metastasis, angiogenesis, and therapeutic response to novel agents. Lastly, to practically illustrate the feasibility of utilizing the CAM model, we summarize the general protocol used in a case study utilizing an ovarian cancer PDX.

Indexed as

Chorioallantoic MembraneNeoplasmsAnimalsChick EmbryoDisease Models, AnimalHeterograftsHumansNeovascularization, PathologicCancerChorioallantoic membranePatient-derived xenograftTumor

Identifiers

PMID33780951
PMCPMC9153341

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.