Evidence map›Paper›PMID 40524155›Full record

ArticleJournal of translational medicine2025

Single-cell and spatial transcriptome analyses reveal MAZ(+) NPC-like clusters as key role contributing to glioma recurrence and drug resistance.

Qiang Gu, Kan Wang, Tingming Lu, Yifei Xiao, Yaqing Wu, Hang Zhou, Kaijia Zhou

Abstract read
In one paragraph

Article in Journal of translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Review
  6. Review
  7. Review
  8. Review
  9. Review
  10. 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

7 authors.

Qiang GuClinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China.
Kan WangHarbin Medical University, Harbin, China.
Tingming LuClinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China.
Yifei XiaoHarbin Medical University, Harbin, China.
Yaqing WuClinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China.
Hang ZhouClinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China.
Kaijia ZhouClinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China. 2724315560@qq.com.

Funding

Fujian Provincial Health Technology Project 2021GGA044Natural Science Foundation of Fujian Province 2023J011255
6 · The paper itself

Abstract

backgroundTemozolomide (TMZ) is an important chemotherapeutic agent for glioma treatment. However, the emergence of drug resistance impedes its application. Traditional population-level studies are limited in elucidating resistance mechanisms. Advances in single-cell and spatial transcriptomics technologies provide feasible resolution for studying the cellular composition and dynamics of tumors. In this study, we investigated the heterogeneity of gliomas associated with TMZ resistance at the single-cell and spatial transcriptome levels to identify the resistance mechanisms and potential therapeutic strategies.

methodsSingle cell sequencing technology was utilized to identify the cellular clusters of gliomas. Drug perturbation analysis and cellular propensity analysis revealed key cluster responding to TMZ. Enrichment analysis was preformed to explore the function of clusters. Transcription factor activity analysis revealed key transcription factors contributing to tumor resistance. Spatial transcriptome data and bulk RNA-seq data validates the role of key transcription factors. Downstream targets of key transcription factors were predicted and validated using gene regulation assays. Drug sensitivity analyses were used to seek viable strategies to overcome drug resistance.

resultsGlioma cells from before and after temozolomide treatment samples were classified into six clusters: NPC-like cluster, OPC-like cluster, MES-like cluster, AC-like cluster, OC, and Neuron. NPC-like clusters exhibited strong stemness and DNA repair capacity. The activity of MAZ in NPC-like cluster was significantly enhanced after TMZ treatment. The proportion of MAZ( +)_NPC-like cluster was higher in TMZ treated samples. Patients with high proportion of MAZ( +)_NPC-like cluster had poorer survival. Upregulation of MAZ is able to enhance drug resistance in glioma cells, but this phenomenon disappeared when FoxM1 expression was further silenced. The combination of paclitaxel and Trametinib is a promising strategy to overcome resistance.

conclusionsNPC-like cluster is prevalent in recurrent and drug-resistant gliomas. MAZ transcription factors are critical regulators that promote the development of drug resistance in NPC-like clusters by enhancing the capacity of DNA repair and stemness. Patients with high proportions of MAZ( +)_NPC-like clusters have poor TMZ sensitivity and prognosis. MAZ enhances stemness and drug resistance in glioma cells by upregulating FOXM1 expression. The combination of paclitaxel and paclitaxel is a promising therapeutic strategy for treating gliomas and overcoming drug resistance.

Indexed as

Brain NeoplasmsDNA-Binding ProteinsDrug Resistance, NeoplasmGene Expression ProfilingGliomaNeoplasm Recurrence, LocalSingle-Cell AnalysisTranscription FactorsTranscriptomeCell Line, TumorCluster AnalysisGene Expression Regulation, NeoplasticHumansTemozolomideDNA-Binding ProteinsTemozolomideTranscription Factors

Identifiers

PMID40524155
PMCPMC12168355

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.