Evidence map›Paper›PMID 35719998›Full record

ArticleFrontiers in oncology2022

Clinical and Biological Significance of a Necroptosis-Related Gene Signature in Glioma.

Zunjie Zhou, Jing Xu, Ning Huang, Jun Tang, Ping Ma, Yuan Cheng

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

11 citing papers in PubMed, 12 citations in OpenAlex.

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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

6 authors at 3 institutions in 1 country.

Zunjie ZhouDepartment of Neurosurgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Jing XuDepartment of Neurosurgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Ning HuangDepartment of Neurosurgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Jun TangDepartment of Neurosurgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Ping MaDepartment of Neurosurgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Yuan ChengDepartment of Neurosurgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Chongqing Medical University · CNSecond Affiliated Hospital of Chongqing Medical University · CNDalian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: As a novel form of programmed cell death, necroptosis is related to multiple tumor types and their immune microenvironments. However, its association with glioma has not been clarified. Methods: Necroptosis genes were obtained from the Gene Set Enrichment Analysis (GSEA) database. RNA-seq and clinical data were downloaded from TCGA and CGGA databases. A necroptosis gene signature was constructed based on univariate and multivariate Cox regression analyses. Next, survival analysis, independent prognostic analysis, and nomogram were performed to assess and verify the model. Subsequently, we analyzed the tumor microenvironment (TME) and immune cell infiltration Results: Of the seven prognostic necroptosis genes, RIPK1, RIPK3, FAS, and FADD were used to construct the risk signature that accurately predicts the prognosis of glioma patients. Functional enrichment results suggest that necroptosis is correlated with immune response and angiogenesis. Immune analysis revealed that necroptosis can boost inflammatory activity and attract immunosuppressive cell infiltration to form a chronic inflammatory microenvironment, promoting glioma growth. Additionally, glioma patients in the TCGA cohort with high necroptosis gene expression exhibited a better response to ICI therapy predicted by the TIDE algorithm. Conclusion: We constructed a necroptosis gene signature, which has the potential for use as a biomarker for predicting glioma patients' prognosis, revealing the association between necroptosis and the immune microenvironment, and serving as a reference for immune therapy.

Indexed as

gliomasimmune infiltrationnecroptosisprognosissignaturetumor microenvironment

Identifiers

PMID35719998
PMCPMC9201102
OpenAlexW4282025472

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.