Evidence map›Paper›PMID 32905502›Full record

ReviewAmerican journal of cancer research2020

Organoid models of glioblastoma: advances, applications and challenges.

Chaocai Zhang, Mingzhu Jin, Jiannong Zhao, Juxiang Chen, Weilin Jin

Abstract readReview
In one paragraph

Review in American journal of cancer research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

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  12. Glioblastoma: An Update in Pathology, Molecular Mechanisms and Biomarkers.International journal of molecular sciences · 2024
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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.

Chaocai ZhangDepartment of Neurosurgery, Hainan General Hospital/Hainan Affiliated Hospital of Hainan Medical University Haikou, PR China.
Mingzhu JinShanghai Jiao Tong University School of Medicine Shanghai, PR China.
Jiannong ZhaoDepartment of Neurosurgery, Hainan General Hospital/Hainan Affiliated Hospital of Hainan Medical University Haikou, PR China.
Juxiang ChenDepartment of Neurosurgery, Shanghai Institute of Neurosurgery, Changzheng Hospital, Second Military Medical University Shanghai, PR China.
Weilin JinKey Laboratory for Thin Film and Microfabrication Technology of Ministry of Education, Department of Instrument Science and Engineering, Institute of Nano Biomedicine and Engineering, School of Electronic Information and Electronic Engineering, Shanghai Jiao Tong University Shanghai, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The high mortality and poor clinical prognosis of glioblastoma multiforme (GBM) are concerns for many GBM patients as well as clinicians and researchers. The lack of a preclinical model that can easily be established and accurately recapitulate tumour biology and the tumour microenvironment further complicates GBM research and its clinical translation. GBM organoids (GBOs) are promising high-fidelity models that can be applied to model the disease, develop drugs, establish a living biobank, mimic therapeutic responses and explore personalized therapy. However, GBO models face some challenges, including deficient immune responses, absent vascular system and controversial reliability. In recent years, considerable progress has been achieved in the improvement of brain tumour organoid models and research based on such models. In addition to the traditional cultivation method, these models can be cultivated via genetic engineering and co-culture of cerebral organoids and GBM. In this review, we summarize the applications of GBM organoids and related advances and provide our opinions on associated limitations and challenges.

Indexed as

Glioblastomaimmunotherapyinvasionorganoidsprecision oncology

Identifiers

PMID32905502
PMCPMC7471358

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.