Evidence map›Paper›PMID 40718795›Full record

ArticleFrontiers in molecular biosciences2025

ER stress-driven unfolded protein response fuels aging-related tumor aggressiveness in gliomas.

Xiaodong Shao, Shaolei Guo, Jia Yang, Junjie Dai, Kaihua Cao, Xia Cai, Tianshi Song, Shun Yao, Umar Raza, Kun Chen

Abstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2025. 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
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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

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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.

Xiaodong Shao *Department of Neurosurgery, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China.
Shaolei Guo *Department of Neurosurgery, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China.
Jia Yang *Department of Neurosurgery, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China.
Junjie DaiDepartment of Neurosurgery, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China.
Kaihua CaoDepartment of Neurosurgery, Ninth People Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xia CaiRongchang Biopharmaceutical (Yantai) Co., Ltd., Yantai, Shandong, China.
Tianshi SongDepartment of Neurology, The First Affiliated Hospital, Harbin Medical University, Harbin, Heilongjiang, China.
Shun YaoDepartment of Neurosurgery, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China.
Umar RazaDepartment of Thoracic Surgery, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, China.
Kun ChenDepartment of Neurosurgery, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Gliomas are the most prevalent and aggressive primary brain tumors. Aging significantly influences glioma incidence and progression, yet the molecular mechanisms linking aging-related pathways to tumor aggressiveness remain poorly understood. Here, we aimed to decipher aging-related molecular mechanisms regulating tumor aggressiveness in gliomas. Methods: We performed comprehensive aging-targeted transcriptomic analyses using TCGA-glioma patient dataset. Differential gene and protein expression, functional annotation and pathway enrichment, gene set enrichment, network construction, CRSISPR-based functional dependency, transcription factor prediction, correlation, clinical association and survival analyses were conducted to identify, develop and validate endoplasmic reticulum (ER) stress-driven unfolded protein response (UPR) as key aging-related molecular mechanism driving tumor aggressiveness in gliomas. Notably, we validated our findings in multiple independent GEO datasets. Results: We identified ER stress and UPR as key aging-related mechanism behind tumor aggressiveness in gliomas, and developed a six gene "ER Stress and UPR-driven Aging-related Tumor Aggressiveness in Glioma" (ESURATAG) gene signature, comprising DERL2, RPN2, SEC13, SEC61A1, SEC61B, and STT3A. Notably, glioma cell proliferation critically depends on ESURATAG-GS, which is preferentially regulated by MYC and is associated with disease and cell cycle progression, inflammation, and poor clinical outcomes in glioma patients, simultaneously aligning with aging and tumor aggressiveness signatures. Validated in multiple GEO datasets, high ESURATAG expression is linked to disease onset, advanced disease state, and reduced overall and progression-free survival in glioma patients as well as in patients with major subtypes of gliomas, including oligodendrogliomas, astrocytomas and gliobalstomas. Discussion: ESURATAG-GS serves as a critical MYC-regulated adaptive mechanism that fuels aging-related tumor aggressiveness via ER stress-driven UPR in gliomas, presenting novel prognostic markers and therapeutic targets for elderly glioma patients.

Indexed as

agingER stressgliomatumor aggressivenessUPR

Identifiers

PMID40718795
PMCPMC12289514

What Socratic holds

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Registered trials

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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 Socratic graph.