Evidence map›Paper›PMID 40244148›Full record

ArticleInternational journal of molecular sciences2025

Exploring Multi-Target Therapeutic Strategies for Glioblastoma via Endogenous Network Modeling.

Mengchao Yao, Xiaomei Zhu, Yong-Cong Chen, Guo-Hong Yang, Ping Ao

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Mengchao YaoShanghai Center for Quantitative Life Sciences and Physics Department, Shanghai University, Shanghai 200444, China.ORCID 0000-0001-8179-2414
Xiaomei ZhuShanghai Key Laboratory of Modern Optical System, School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200444, China.
Yong-Cong ChenShanghai Center for Quantitative Life Sciences and Physics Department, Shanghai University, Shanghai 200444, China.ORCID 0000-0003-2476-1878
Guo-Hong YangDepartment of Physics, Shanghai University, Shanghai 200444, China.
Ping AoCollege of Biomedical Engineering, Sichuan University, Chengdu 610065, China.

Funding

National Natural Science Foundation of China 12375034
6 · The paper itself

Abstract

Medical treatment of glioblastoma presents a significant challenge. A conventional medication has limited effectiveness, and a single-target therapy is usually effective only in the early stage of the treatment. Recently, there has been increasing focus on multi-target therapies, but the vast range of possible combinations makes clinical experimentation and implementation difficult. From the perspective of systems biology, this study conducted simulations for multi-target glioblastoma therapy based on dynamic analysis of previously established endogenous networks, validated with glioblastoma single-cell RNA sequencing data. Several potentially effective target combinations were identified. The findings also highlight the necessity of multi-target rather than single-target intervention strategies in cancer treatment, as well as the promise in clinical applications and personalized therapies.

Indexed as

Brain NeoplasmsGene Regulatory NetworksGlioblastomaGene Expression Regulation, NeoplasticHumansMolecular Targeted TherapyPrecision MedicineSingle-Cell AnalysisSystems Biologyendogenous network theorygliomalandscapemulti-target therapysystem biology

Identifiers

PMID40244148
PMCPMC11989339

What OpenQuestion holds

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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.