Evidence map›Paper›PMID 36568393›Full record

ArticleFrontiers in genetics2022

Constructing a signature based on the SIRT family to help the prognosis and treatment sensitivity in glioma patients.

Feiyue Xuan, Zhiwei Zhang, Kuili Liu, Haidong Gong, Shaodong Liang, Youzhi Zhao, Hongzhe Li

Abstract read
In one paragraph

Article in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Feiyue XuanDepartment of Neurosurgery, Hongqi Hospital Affiliated to Mudanjiang Medical University, Mudanjiang, China.
Zhiwei ZhangDepartment of Neurosurgery, Hongqi Hospital Affiliated to Mudanjiang Medical University, Mudanjiang, China.
Kuili LiuDepartment of Neurosurgery, Hongqi Hospital Affiliated to Mudanjiang Medical University, Mudanjiang, China.
Haidong GongDepartment of Neurosurgery, Hongqi Hospital Affiliated to Mudanjiang Medical University, Mudanjiang, China.
Shaodong LiangDepartment of Neurosurgery, Hongqi Hospital Affiliated to Mudanjiang Medical University, Mudanjiang, China.
Youzhi ZhaoDepartment of Neurosurgery, Hongqi Hospital Affiliated to Mudanjiang Medical University, Mudanjiang, China.
Hongzhe LiDepartment of Neurosurgery, Hongqi Hospital Affiliated to Mudanjiang Medical University, Mudanjiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Enzymes of the silent information regulator (SIRT) family exert crucial roles in basic cellular physiological processes including apoptosis, metabolism, ageing, and cell cycle progression. They critically contribute to promoting or inhibiting cancers such as glioma. In the present study, a new gene signature of this family was identified for use in risk assessment and stratification of glioma patients. To this end, the transcriptome and relevant clinical records of patients diagnosed with glioma were obtained from the Cancer Genomic Atlas (TCGA) and the Chinese Glioma Genome Atlas (CGGA). LASSO regression and multivariate Cox analyses were used to establish the signature. Using Kaplan-Meier analyses, overall survival (OS) was assessed and compared between a training and an external test datasets which showed lower OS in patients with high risk of glioma compared to those with low risk. Further, ROC curve analyses indicated that the SIRT-based signature had the desired accuracy and universality for evaluating the prognosis of glioma patients. Using univariate and multivariate Cox regression analyses, the SIRT-based signature was confirmed as an independent prognostic factor applicable to subjects in the TCGA and CGGA databases. We also developed an OS nomogram including gender, age, risk score, pathological grade, and IDH status for clinical decision-making purposes. ssGSEA analysis showed a higher score for various immune subgroups (e.g., CD8

Indexed as

biomarkergliomaprognosisSIRT familytumour microenvironment

Identifiers

PMID36568393
PMCPMC9780371

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