Evidence map›Paper›PMID 39239650›Full record

ReviewFrontiers in pharmacology2024

Therapeutic potential of arginine deprivation therapy for gliomas: a systematic review of the existing literature.

Chen Yuxiao, Wang Jiachen, Lan Yanjie, Li Shenglan, Wang Yuji, Li Wenbin

Abstract readReview
In one paragraph

Review in Frontiers in pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
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  4. Review
  5. Article
  6. Article
  7. 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

6 authors.

Chen Yuxiao *Department of Neuro-Oncology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Wang Jiachen *Department of Neuro-Oncology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Lan YanjieDepartment of Neuro-Oncology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Li ShenglanDepartment of Neuro-Oncology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Wang YujiDepartment of Medicinal Chemistry, College of Pharmaceutical Sciences, Capital Medical University, Beijing, China.
Li WenbinDepartment of Neuro-Oncology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Arginine deprivation therapy (ADT) hinders glioma cells' access to nutrients by reducing peripheral blood arginine, showing great efficacy in various studies, which suggests it as a potentially promising treatment for glioma. The aim of this systematic review was to explore the mechanism of ADT for gliomas, the therapeutic effect based on existing research, and possible combination therapies. Methods: We performed a systematic literature review of PubMed, ScienceDirect and Web of Science databases according to PRISMA guidelines, searching for articles on the efficacy of ADT in glioma. Results: We identified 17 studies among 786 search results, among which ADT therapy mainly based on Arginine free condition, Arginine Deiminase and Arginase, including three completed clinical trials. ADT therapy has shown promising results Conclusion: Despite the paucity of studies in the literature, the available data demonstrate the therapeutic potential of arginine deprivation therapy for glioma and encourage further research, especially the exploration of its combination therapies and the extrapolation of what we know about the effects and mechanisms of ADT from other tumors to glioma.

Indexed as

ADI-PEG20arginine deprivation therapyBET-100combination therapygliomatumor metabolism

Identifiers

PMID39239650
PMCPMC11375294

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Registered trials

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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.