Evidence map›Paper›PMID 35990696›Full record

ArticleFrontiers in immunology2022

Optimization of cancer immunotherapy through pyroptosis: A pyroptosis-related signature predicts survival benefit and potential synergy for immunotherapy in glioma.

Yu Zeng, Yonghua Cai, Peng Chai, Yangqi Mao, Yanwen Chen, Li Wang, Kunlin Zeng, Ziling Zhan, Yuxin Xie, Cuiying Li and 8 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.0field-weighted citation impact, top 27% of its field
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

15 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. How to recognize if a cell dies from pyroptosis?Molecular biology reports · 2026
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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

18 authors at 4 institutions in 1 country.

Yu ZengDepartment of Cell Biology, School of Basic Medical Science, Southern Medical University, Guangzhou, China.
Yonghua CaiDepartment of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Peng ChaiDepartment of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Yangqi MaoDepartment of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Yanwen ChenDepartment of Cell Biology, School of Basic Medical Science, Southern Medical University, Guangzhou, China.
Li WangDepartment of Cell Biology, School of Basic Medical Science, Southern Medical University, Guangzhou, China.
Kunlin ZengDepartment of Cell Biology, School of Basic Medical Science, Southern Medical University, Guangzhou, China.
Ziling ZhanDepartment of Cell Biology, School of Basic Medical Science, Southern Medical University, Guangzhou, China.
Yuxin XieDepartment of Cell Biology, School of Basic Medical Science, Southern Medical University, Guangzhou, China.
Cuiying LiDepartment of Cell Biology, School of Basic Medical Science, Southern Medical University, Guangzhou, China.
Hongchao ZhanDepartment of Cell Biology, School of Basic Medical Science, Southern Medical University, Guangzhou, China.
Liqian ZhaoDepartment of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Xiaoxia ChenDepartment of Cell Biology, School of Basic Medical Science, Southern Medical University, Guangzhou, China.
Xiaoxia ZhuDepartment of Radiation Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Yu LiuDepartment of Neurosurgery, Shanghai Children's Hospital, Shanghai Jiao Tong University, Shanghai, China.
Ming ChenDepartment of Neurosurgery, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Ye SongDepartment of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Aidong ZhouDepartment of Cell Biology, School of Basic Medical Science, Southern Medical University, Guangzhou, China.
Southern Medical University · CNNanfang Hospital · CNShanghai Jiao Tong University · CNXinHua Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pyroptosis is a critical type of programmed cell death that is strongly associated with the regulation of tumor and immune cell functions. However, the role of pyroptosis in tumor progression and remodeling of the tumor microenvironment in gliomas has not been extensively studied. Thus, in this study, we aimed to establish a comprehensive pyroptosis-related signature and uncover its potential clinical application in gliomas. Methods: The TCGA glioma cohort was obtained and divided into training and internal validation cohorts, while the CGGA glioma cohort was used as an external validation cohort. Unsupervised consensus clustering was performed to identify pyroptosis-related expression patterns. A Cox regression analysis was performed to establish a pyroptosis-related risk signature. Real-time quantitative PCR was performed to analyze the expression of signature genes in glioma tissues. Immune infiltration was analyzed and validated by immunohistochemical staining. The expression patterns of signature genes in different cell types were analyzed using single-cell RNA sequencing data. Finally, therapeutic responses to chemotherapy, immunotherapy, and potential small-molecule inhibitors were investigated. Results: Patients with glioma were stratified into clusters 1 and 2 based on the expression patterns of pyroptosis-related genes. Cluster 2 showed a longer overall (P<0.001) and progression-free survival time (P<0.001) than Cluster 1. CD8+ T cell enrichment was observed in Cluster 1. A pyroptosis-related risk signature (PRRS) was then established. The high PRRS group showed a significantly poorer prognosis than the low PRRS group in the training cohort (P<0.001), with validation in the internal and external validation cohorts. Immunohistochemical staining demonstrated that CD8+ T cells were enriched in high PRRS glioma tissues. PRRS genes also showed cell-specific expression in tumor and immune cells. Moreover, the high PRRS risk group showed higher temozolomide sensitivity and increased response to anti-PD1 treatment in a glioblastoma immunotherapy cohort. Finally, Bcl-2 inhibitors were screened as candidates for adjunct immunotherapy of gliomas. Conclusion: The pyroptosis-related signature established in this study can be used to reliably predict clinical outcomes and immunotherapy responses in glioma patients. The correlation between the pyroptosis signature and the tumor immune microenvironment may be used to further guide the sensitization of glioma patients to immunotherapy.

Indexed as

Brain NeoplasmsGliomaPorcine Reproductive and Respiratory SyndromeAnimalsHumansImmunotherapyPrognosisPyroptosisSwineTumor Microenvironmentgliomaimmunotherapyprognosispyroptosissmall molecular inhibitortumor-associated microenvironment

Identifiers

PMID35990696
PMCPMC9382657
OpenAlexW4289544535

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.