Evidence map›Paper›PMID 36110575›Full record

ArticleComputational and mathematical methods in medicine2022

Identification of Prognostic Signature of Necroptosis-Related lncRNAs and Molecular Subtypes in Glioma.

Guanghao Zhang, Rundong Chen, Luojiang Zhu, Hongyu Ma, Haishuang Tang, Chenghao Shang, Jing Wang, Deyu Zhang, Qiang Li, Jianmin Liu

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PubMed Full text at PMC Publisher
In one paragraph

Article in Computational and mathematical methods in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Guanghao ZhangNeurovascular Center, Changhai Hospital, Naval Medical University, Shanghai 200003, China.ORCID https://orcid.org/0000-0003-0929-8782
Rundong ChenNeurovascular Center, Changhai Hospital, Naval Medical University, Shanghai 200003, China.
Luojiang ZhuNeurovascular Center, Changhai Hospital, Naval Medical University, Shanghai 200003, China.
Hongyu MaNeurovascular Center, Changhai Hospital, Naval Medical University, Shanghai 200003, China.ORCID https://orcid.org/0000-0002-8689-5970
Haishuang TangNeurovascular Center, Changhai Hospital, Naval Medical University, Shanghai 200003, China.
Chenghao ShangNeurovascular Center, Changhai Hospital, Naval Medical University, Shanghai 200003, China.
Jing WangNeurovascular Center, Changhai Hospital, Naval Medical University, Shanghai 200003, China.ORCID https://orcid.org/0000-0002-7567-5382
Deyu ZhangNeurovascular Center, Changhai Hospital, Naval Medical University, Shanghai 200003, China.
Qiang LiNeurovascular Center, Changhai Hospital, Naval Medical University, Shanghai 200003, China.ORCID https://orcid.org/0000-0002-8204-8862
Jianmin LiuNeurovascular Center, Changhai Hospital, Naval Medical University, Shanghai 200003, China.ORCID https://orcid.org/0000-0002-3599-8267

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In tumor progression and epigenetic regulation, long non-coding RNA (lncRNA) and necroptosis are crucial regulators. However, in glioma microenvironment, the role of necroptosis-related lncRNAs (NRLs) remains unknown. Method: In this study, the RNA-seq and clinical annotation of glioma patients were analyzed using the Cancer Genome Atlas (TCGA) and Chinese Glioma Genome Atlas (CGGA) databases. To investigate prognosis and tumor microenvironment of NRLs in gliomas, we conducted a prediction model based on the training cohort. The accuracy of the model was verified in the verification cohort. Results: A signature composed of 13 NRLs was identified, and all glioma patients were divided into two groups. We found that each group has unique survival outcomes, biological behaviors, and immune infiltrating status. The necroptosis-related lncRNA signature (NRLS) model was found to be an independent risk factor in multivariate Cox analysis. Immunosuppressive microenvironment was positively correlated with the high-risk group. Due to significantly different IC50 between risk groups, NRLS could be used as a guide for chemotherapeutic treatment. Further, the entire cohort was divided into two clusters depending on NRLs. Consensus clustering method and the risk scoring system were basically similar. Survival probability was higher in Cluster 2, while Cluster 1 has stronger immunologic infiltration. Conclusion: The predictive signature could be a prognostic factor independently and serve to detect the role of NRLs in glioma immunotherapy response.

Indexed as

GliomaRNA, Long NoncodingBiomarkers, TumorEpigenesis, GeneticGene Expression Regulation, NeoplasticHumansNecroptosisPrognosisTumor MicroenvironmentBiomarkers, TumorRNA, Long Noncoding

Identifiers

PMID36110575
PMCPMC9468935

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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.