Evidence map›Paper›PMID 42865985›Full record

ArticleMolecular therapy. Nucleic acids2026

Single-cell and intercellular communication analyses reveal DLL3 as a key regulator in the glioma tumor microenvironment.

Lei Xie, Han Wang, Xianrun Pan, Zhaoxi Yang, Jing Hu, Yuncong Zhang, Hao Qian

Abstract read
In one paragraph

Article in Molecular therapy. Nucleic acids, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Lei XieSchool of Medicine, University of Electronic Science and Technology of China, Chengdu 611731, China.
Han WangSchool of Medicine, University of Electronic Science and Technology of China, Chengdu 611731, China.
Xianrun PanSchool of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China.
Zhaoxi YangSchool of Medicine, University of Electronic Science and Technology of China, Chengdu 611731, China.
Jing HuSchool of Medicine, University of Electronic Science and Technology of China, Chengdu 611731, China.
Yuncong ZhangGuangdong Provincial Key Laboratory of Tumor Interventional Diagnosis and Treatment, Zhuhai Institute of Translational Medicine, Zhuhai People's Hospital (The Affiliated Hospital of Beijing Institute of Technology, Zhuhai Clinical Medical College of Jinan University), Zhuhai 519000, China.
Hao QianSchool of Medicine, University of Electronic Science and Technology of China, Chengdu 611731, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioma progression is increasingly recognized as a process driven not only by intrinsic genetic alterations in tumor cells but also by dynamic interactions within the tumor microenvironment (TME). However, systematic insight into the remodeling of intercellular communication networks during glioma evolution and their role in tumor progression remains limited. We integrated large-scale single-cell RNA sequencing with computational inference of ligand-receptor interactions to characterize the cellular landscape and communication architecture across disease stages. Single-cell analysis of normal brain and glioma tissues revealed pronounced cellular heterogeneity and stage-dependent remodeling of the TME, involving malignant cells, immune populations, glial cells, and vascular components. Intercellular communication analysis showed extensive reconstructing and strengthening of signaling networks during glioma progression, particularly among glioma cells, myeloid cells, astrocytes, and endothelial cells. Integrative analysis identified six communication-associated genes (

Indexed as

cell cyclecell proliferationDLL3gliomaintercellular communicationMT: bioinformaticstumor microenvironment

Identifiers

PMID42865985
PMCPMC13656312

What OpenQuestion holds

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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.