Evidence map›Paper›PMID 36915038›Full record

ArticleBMC cancer2023

A novel cuproptosis-related gene signature to predict prognosis in Glioma.

Mengyang Zhang, Xiaobai Liu, Di Wang, Xuelei Ruan, Ping Wang, Libo Liu, Yixue Xue

Open access · goldFull text read
In one paragraph

Article in BMC cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
7.5field-weighted citation impact, top 2% 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

14 citing papers in PubMed, 17 citations in OpenAlex.

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  8. Mechanisms of cuproptosis and its relevance to distinct diseases.Apoptosis : an international journal on programmed cell death · 2024
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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

7 authors at 1 institution in 1 country.

Mengyang ZhangDepartment of Neurobiology, School of Life Sciences, China Medical University, Shenyang, 110122, China.
Xiaobai LiuKey Laboratory of Neuro-Oncology in Liaoning Province, Shenyang, 110004, China.
Di WangKey Laboratory of Neuro-Oncology in Liaoning Province, Shenyang, 110004, China.
Xuelei RuanDepartment of Neurobiology, School of Life Sciences, China Medical University, Shenyang, 110122, China.
Ping WangDepartment of Neurobiology, School of Life Sciences, China Medical University, Shenyang, 110122, China.
Libo LiuDepartment of Neurobiology, School of Life Sciences, China Medical University, Shenyang, 110122, China.
Yixue XueDepartment of Neurobiology, School of Life Sciences, China Medical University, Shenyang, 110122, China. xueyixue888@163.com.
China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioma is primary brain tumour with a poor prognosis. Metabolic reprogramming is a hallmark of glioma, and is critical in the development of antiglioma agents and glioma therapy. Cuproptosis is a novel form of cell death mediated by protein lipidation and highly associated with mitochondrial metabolism. However, the clinical impact of cuproptosis-related genes (CRGs) in glioma remains largely unknown. The purpose of this study is to create a new CRGs signature that can be used to predict survival and immunotherapy in glioma patients. LASSO regression analysis was applied to establish prognostic gene signatures. Furthermore, a CRGs signature-based nomogram was developed and demonstrated good predictive potential. We also analyzed the relationship of CRGs and immune infiltration and the correlation with the pathological grade of glioma. Finally, we explored the miRNA that may regulate cuproptosis-related gene FDX1. We found that miR-606 was markedly downregulated in GBM, overexpression of miR-606 can significantly inhibit aerobic glycolysis and proliferation of GBM cells. FDX1 was upregulated in GBM, knockdown of FDX1 significantly inhibit aerobic glycolysis and proliferation of GBM cells. And luciferase assay was used to verified that miR-606 binds to and regulates FDX1 mRNA. These results provide a basis for further exploring the biological mechanisms of cuproptosis. This study may provide new potential therapeutic perspectives for patients with glioma.

Indexed as

ApoptosisGliomaMicroRNAsCell DeathCopperHumansNomogramsPrognosisCopperMicroRNAsCuproptosisGliomaPrognostic modelProliferation

Identifiers

PMID36915038
PMCPMC10012466
OpenAlexW4324129541

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read16
table measurements read7
Read underepoch 390

Registered trials

None linked

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.