Evidence map›Paper›PMID 42319605›Full record

ArticleDiscover oncology2026

Identification and validation of exosome-related biomarkers in pediatric glioblastoma.

Wenjue Tang, Lingyun Fan, Huihong Dou, Yinlin Tang, Weichun Ma, Huan Peng, Qiongyou Liang, Lifang Nong, Peng Zhang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Discover 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

9 authors.

Wenjue Tang *Department of Hematology and Oncology, Children's Hospital, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, 530000, China.
Lingyun Fan *Department of Cardiology, Children's Hospital, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, 530000, China.
Huihong DouDepartment of Hematology and Oncology, Children's Hospital, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, 530000, China.
Yinlin TangDepartment of Clinical Laboratory, Children's Hospital, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, China.
Weichun MaDepartment of Hematology and Oncology, Children's Hospital, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, 530000, China.
Huan PengGuangxi Clinical Research Center for Birth Defects, Guangxi Key Laboratory of Birth Defects Research and Prevention, Guangxi Key Laboratory of Reproductive Health and Birth Defects Prevention, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, 530000, China.
Qiongyou LiangDepartment of Hematology and Oncology, Children's Hospital, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, 530000, China.
Lifang NongDepartment of Hematology and Oncology, Children's Hospital, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, 530000, China.
Peng ZhangMedical Genetics and Prenatal Diagnosis Center, Guangxi Academy of Medical Sciences and the People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, 530000, China. zhp303170003@163.com.

Funding

Guangxi Key Laboratory of Birth Defects Research and Prevention ZJC2020011, GXWCH-ZDKF-2022-25Self-Funded Program of Guangxi Health Commission Z-A20240319Young Elite Scientists Sponsorship Program by GXAST GXYESS2025193
6 · The paper itself

Abstract

Pediatric glioblastoma (pGBM) is an aggressive central nervous system (CNS) tumor whose pathological progression is significantly influenced by exosomal signaling. This study integrated and analyzed transcriptomic datasets (GSE50161, GSE35493) from the Gene Expression Omnibus (GEO), focusing on the intersection between exosome-related genes (ERGs) and disease-associated differentially expressed genes (DEGs). Key biomarkers, FGF9, TGFBR1, and PLCB4, were identified using a machine learning model. The results demonstrated that TGFBR1 expression was up-regulated in the tumor microenvironment, whereas FGF9 and PLCB4 were down-regulated. These genes were closely associated with the γ/α (IFN-γ/α) signaling pathway and E2F target activation. Immune profiling revealed that low expression of FGF9 and PLCB4 correlated with a reduction in central memory CD4

Indexed as

BiomarkersExosomesFGF9Pediatric glioblastomaPLCB4TGFBR1

Identifiers

PMID42319605
PMCPMC13530111

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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.