Evidence map›Paper›PMID 41861657›Full record

ArticleTranslational oncology2026

Single-cell inflammatory signaling defines a novel CEP135

Ziteng Ji, Ulf Dietrich Kahlert, Sijie Wu, Claudia A Dumitru, Erol Sandalcioglu, Jidong Zhang, Dacheng Wang, Jingfeng Qu, Wenjie Shi, Bingchao Yan

Abstract read
In one paragraph

Article in Translational oncology, 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

10 authors.

Ziteng JiDepartment of Neurosurgery, The Affiliated Xuzhou Municipal Hospital of Xuzhou Medical University, Xuzhou, China.
Ulf Dietrich KahlertMolecular and Experimental Surgery, Clinic for General-, Visceral -, Vascular- and Transplantation Surgery, Medical Faculty and University Hospital Magdeburg, Otto-von-Guericke University, Magdeburg, Germany.
Sijie WuDepartment of Breast Surgery, Guilin Municipal Hospital of Traditional Chinese Medicine, China, Guilin, 541002, GuangXi, China.
Claudia A DumitruDepartment of Neurosurgery, Otto-von-Guericke-University Magdeburg, 39120 Magdeburg, Germany.
Erol SandalciogluDepartment of Neurosurgery, Otto-von-Guericke-University Magdeburg, 39120 Magdeburg, Germany.
Jidong ZhangDepartment of Neurosurgery, The Affiliated Xuzhou Municipal Hospital of Xuzhou Medical University, Xuzhou, China.
Dacheng WangDepartment of Neurosurgery, The Affiliated Xuzhou Municipal Hospital of Xuzhou Medical University, Xuzhou, China.
Jingfeng QuDepartment of Neurosurgery, The Affiliated Xuzhou Municipal Hospital of Xuzhou Medical University, Xuzhou, China.
Wenjie ShiMolecular and Experimental Surgery, Clinic for General-, Visceral -, Vascular- and Transplantation Surgery, Medical Faculty and University Hospital Magdeburg, Otto-von-Guericke University, Magdeburg, Germany; Department of Breast Surgery, Guilin Municipal Hospital of Traditional Chinese Medicine, China, Guilin, 541002, GuangXi, China. Electronic address: wenjie.shi@uol.de.
Bingchao YanDepartment of Neurosurgery, The Affiliated Xuzhou Municipal Hospital of Xuzhou Medical University, Xuzhou, China. Electronic address: ybc1984115@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic inflammation is a key driver of glioma progression, but its cellular organization within the tumor microenvironment remains poorly understood.

methodsThis study employed an integrated multi-omics analysis strategy, combining bulk transcriptomics, proteomics, and glioma cell line expression data with single-cell RNA sequencing data from paired gliomas and adjacent normal brain tissues. Inflammatory signaling activity was quantitatively assessed using pathway-level scoring methods, endothelial cell heterogeneity was analyzed at single-cell resolution, and pseudo-temporal trajectory analysis and cell-cell communication analysis were further conducted. Immunohistochemical analysis was performed using human glioma brain tissue samples from our center to independently validate key findings at the protein level.

resultsBulk transcriptomics analysis revealed significantly activated inflammatory signals in glioblastomas. Single-cell analysis identified a highly inflammatory endothelial cell subtype that was significantly enriched in tumor tissues. Cell communication analysis further revealed enhanced signal output capabilities and participation in neurally-related ligand-receptor interactions. CEP135 was specifically enriched in this endothelial cell subtype and showed consistent upregulation of both transcriptional and protein levels across multiple independent datasets. Immunohistochemical analysis of glioma brain tissue from our center confirmed that CEP135 is primarily localized in tumor-associated endothelial regions, and its expression level was significantly correlated with increasing tumor grade.High CEP135 expression was associated with poor treatment response, shorter survival outcomes.

conclusionThis study identified a innovative CEP135+inflammation-associated endothelial cell subtype and established CEP135 as a key biomarker linking endothelial inflammation reprogramming, tumor progression, and adverse clinical outcomes.

Indexed as

CEP135EndothelialGliomaInflammatoryProgression

Identifiers

PMID41861657
PMCPMC13019494

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.