Evidence map›Paper›PMID 32415873›Full record

ArticleCancer science2020

Identification of an ATP metabolism-related signature associated with prognosis and immune microenvironment in gliomas.

Ruoyu Huang, Guanzhang Li, Zhiliang Wang, Huimin Hu, Fan Zeng, Kenan Zhang, Kuanyu Wang, Fan Wu

Open access · goldAbstract read
In one paragraph

Article in Cancer science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

18 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
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  7. A Risk Signature Consisting of Eight mCellular and molecular neurobiology · 2022
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  11. Oxidative medicine and cellular longevity · 2022
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  12. Article
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  14. Identification of the mFrontiers in molecular biosciences · 2021
    Article
  15. Article
  16. Immune Infiltrates of mFrontiers in cell and developmental biology · 2021
    Article
  17. Article
  18. Article
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

8 authors at 1 institution in 1 country.

Ruoyu HuangDepartment of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
Guanzhang LiDepartment of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
Zhiliang WangDepartment of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
Huimin HuDepartment of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.ORCID https://orcid.org/0000-0001-5712-3624
Fan ZengDepartment of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.ORCID https://orcid.org/0000-0001-5351-2155
Kenan ZhangDepartment of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
Kuanyu WangChinese Glioma Cooperative Group (CGCG), Beijing, China.
Fan WuDepartment of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.ORCID https://orcid.org/0000-0001-9256-0176
Capital Medical University · CN

Funding

National Natural Science Foundation of China 81702460National Natural Science Foundation of China 81802994National Natural Science Foundation of China 81972816
6 · The paper itself

Abstract

As the core element of material and energy metabolism pathways, the biological functions and prognostic significance of ATP metabolism in diffuse gliomas have so far remained unclear. Based on comprehensive analysis of ATP metabolism-related gene expression profiles, we constructed an ATP metabolism-related risk signature to determine the role of ATP metabolism. We found that this ATP metabolism-related gene expression profile could divide patients into 2 robust groups with distinct clinical characteristics and prognosis. Patients in the high-risk group tended to be predicted as malignant entities, indicating that the activation of ATP metabolism may promote the malignant progress of diffuse gliomas. Cox regression and Kaplan-Meier analyses suggested that this risk signature was an independent predictor for prognosis. Furthermore, we constructed an individualized prognosis prediction model through nomogram and time-dependent receiver operating characteristic (ROC) curve analyses. Functional analysis suggested that, in addition to material and energy metabolism, ATP metabolism also played an essential role in the regulation of the tumor immune microenvironment. In brief, the ATP metabolism-related signature was tightly associated with regulation of the tumor immune microenvironment and could serve as an independent prognostic biomarker in diffuse gliomas.

Indexed as

Biomarkers, TumorMetabolomeAdenosine TriphosphateAdultComputational BiologyDNA MethylationGene Expression Regulation, NeoplasticGliomaHumansMetabolomicsMiddle AgedMolecular Sequence AnnotationNeoplasm GradingPrognosisPromoter Regions, GeneticROC CurveAdenosine TriphosphateBiomarkers, TumorATP metabolismgliomaprognosisrisk scoresignaturetumor immune environment

Identifiers

PMID32415873
PMCPMC7385348
OpenAlexW3025646631

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.