Evidence map›Paper›PMID 42220534›Full record

ArticleFrontiers in immunology2026

Comprehensive exploration of the role of multimodal programmed cell death- associated lncRNAs in the prognosis and immunity of glioma.

Shuaishuai Wu, Xiangji Meng, Yanran Hu, Qi Wang, Yanfen Yao, Haiyan Jia, Zhen Ma, Yang Liu, Zhongxu Sun, Yahu Bai and 3 more

Abstract read
In one paragraph

Article in Frontiers in immunology, 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

13 authors.

Shuaishuai Wu *Department of Intensive Care Medicine, Shandong Provincial Third Hospital, Shandong University, Jinan, China.
Xiangji Meng *Department of Neurosurgery, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.
Yanran Hu *Department of Pathology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.
Qi WangDepartment of Paediatrics, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Yanfen YaoDepartment of Intensive Care Medicine, Shandong Provincial Third Hospital, Shandong University, Jinan, China.
Haiyan JiaDepartment of Intensive Care Medicine, Shandong Provincial Third Hospital, Shandong University, Jinan, China.
Zhen MaDepartment of Intensive Care Medicine, Shandong Provincial Third Hospital, Shandong University, Jinan, China.
Yang LiuDepartment of Intensive Care Medicine, Shandong Provincial Third Hospital, Shandong University, Jinan, China.
Zhongxu SunDepartment of Intensive Care Medicine, Shandong Provincial Third Hospital, Shandong University, Jinan, China.
Yahu BaiDepartment of Intensive Care Medicine, Shandong Provincial Third Hospital, Shandong University, Jinan, China.
Haixia JinDepartment of Intensive Care Medicine, Shandong Provincial Third Hospital, Shandong University, Jinan, China.
Lingzhi LiDepartment of Intensive Care Medicine, Shandong Provincial Third Hospital, Shandong University, Jinan, China.
Changli WangDepartment of Pathology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Gliomas have an inferior prognosis and urgently require new biomarkers and treatment strategies. Although some studies have explored the association between specific categories of programmed cell death (PCD) and glioma, research on the combined mechanism of PCD and its contribution to glioma development remains insufficient. This study aims to systematically investigate the role of lncRNAs in PCD in relation to the prognosis of glioma. Methods: A prognostic risk model based on key lncRNAs was screened and constructed from multiple PCD pathways through bioinformatics analysis. And conduct a comprehensive analysis of its immune function and its effects. To validate the model, we selected the key molecule AC092718.4 for functional experiments. Results: Our research indicates that AC092718.4 significantly alters the proliferative and invasive capabilities of glioma cells. Animal experiments further confirmed that it can promote tumor growth. Conclusion: This study successfully constructed a robust PCD-related lncRNA prognostic model, providing a new tool for risk stratification in glioma patients and laying the groundwork for developing precision treatment strategies based on programmed cell death.

Indexed as

ApoptosisBiomarkers, TumorBrain NeoplasmsGliomaRNA, Long NoncodingAnimalsCell Line, TumorCell ProliferationComputational BiologyGene Expression Regulation, NeoplasticHumansMicePrognosisBiomarkers, TumorRNA, Long Noncodinggliomaimmune functionlncRNAprognosisprogrammed cell death

Identifiers

PMID42220534
PMCPMC13215893

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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.