Evidence map›Paper›PMID 36059638›Full record

ArticleFrontiers in oncology2022

Development and validation of cuproptosis-associated prognostic signatures in WHO 2/3 glioma.

Zhang Ye, Shenqi Zhang, Jiayang Cai, Liguo Ye, Lun Gao, Yixuan Wang, Shiao Tong, Qian Sun, Yu Wu, Xiaoxing Xiong and 1 more

Abstract 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 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

11 authors.

Zhang YeDepartment of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, China.
Shenqi ZhangDepartment of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, China.
Jiayang CaiDepartment of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, China.
Liguo YeDepartment of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, China.
Lun GaoDepartment of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, China.
Yixuan WangDepartment of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, China.
Shiao TongDepartment of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, China.
Qian SunDepartment of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, China.
Yu WuDepartment of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, China.
Xiaoxing XiongDepartment of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, China.
Qianxue ChenDepartment of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

WHO 2/3 glioma is a common intracranial tumor that seriously affects the quality of life and survival time of patients. Previous studies have shown that the tricarboxylic acid (TCA) cycle is closely related to the occurrence and development of glioma, while recent studies have shown that cuproptosis, a novel programmed death pathway, is closely related to the inhibition of the TCA cycle. In our study, eight of ten cuproptosis-related genes (CRGs) were found to be differentially expressed between normal and WHO 2/3 glioma tissues. Through the LASSO algorithm, the cuproptosis-associated risk signatures (CARSs) were constructed, which can effectively predict the prognosis of WHO 2/3 glioma patients and are closely related to clinicopathological features. We analyzed the relationship between risk score and immune cell infiltration through Xcell, ssGSEA, TIMER database, and immune checkpoint molecules. In addition, the relationship between risk score and chemotherapeutic drug sensitivity was also investigated. The prognosis-related independent risk factors FDX1 and CDKN2A identified from CARSs are considered potential prognostic biomarkers for WHO 2/3 glioma. The clinical prognosis model based on cuproptosis is expected to provide an effective reference for the diagnosis and treatment of clinical WHO 2/3 glioma patients.

Indexed as

CDKN2Acuproptosis-associated risk signaturesFDX1prognosisWHO 2/3 glioma

Identifiers

PMID36059638
PMCPMC9434124

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