Evidence map›Paper›PMID 33465115›Full record

ArticlePloS one2021

CKMT1B is a potential prognostic biomarker and associated with immune infiltration in Lower-grade glioma.

Huadi Shi, Yuling Song, Zhi Song, Chun Huang

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.6field-weighted citation impact, top 19% of its field
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

12 citing papers in PubMed, 24 citations in OpenAlex.

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  4. Genetic associations with human longevity are enriched for oncogenic genes.medRxiv : the preprint server for health sciences · 2024
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  11. International journal of molecular sciences · 2021
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Huadi ShiDepartment of Internal Medicine, Zhanjiang Central Hospital, Guangdong Medical University, Zhanjiang, Guangdong Province, China.
Yuling SongDepartment of Internal Medicine, Zhanjiang Central Hospital, Guangdong Medical University, Zhanjiang, Guangdong Province, China.ORCID 0000-0002-9069-2025
Zhi SongDepartment of Internal Medicine, Zhanjiang Central Hospital, Guangdong Medical University, Zhanjiang, Guangdong Province, China.
Chun HuangDepartment of Internal Medicine, Zhanjiang Central Hospital, Guangdong Medical University, Zhanjiang, Guangdong Province, China.
Guangdong Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLower-grade glioma (LGG) is the most common histology identified in glioma. CKMT1B has not been investigated in glioma. The purpose of this research was to investigate the prognostic value of CKMT1B and its correlation with immune infiltration in LGG.

methodsWe used Gene Expression Profiling Interactive Analysis (GEPIA) to analyze the expression of CKMT1B in LGG. Univariate and multivariate Cox regression analyses were used to assess the effect of CKMT1B expression and screened variables on survival. The correlation between CKMT1B and immune infiltration was evaluated by TIMER and CIBERSORT. Moreover, the possible biological functions of CKMT1B were studied by GSEA. The statistical analysis was conducted by R software.

resultsThe expression of CKMT1B was significantly lower than the normal samples in LGG. Low expression of CKMT1B predicts a worse prognosis. Multivariate Cox analyses revealed that CKMT1B might be an independent favorable prognostic indicator. TIMER analysis revealed that CKMT1B expression level was related to immune infiltration. CIBERSORT analysis showed that CKMT1B expression was positively related to the infiltration level of activated mast cells and negatively related to macrophage M2 in LGG. Moreover, GESA showed that multiple cancer-related and immune-related gene sets were enriched in the low-CKMT1B group in the top 5 of the most significant differences.

conclusionCKMT1B is a prognostic biomarker with potential applications and associated with immune infiltration in Lower-grade glioma.

Indexed as

AdultBiomarkers, TumorCreatine Kinase, Mitochondrial FormFemaleGene Expression Regulation, NeoplasticGliomaHumansKaplan-Meier EstimateMaleNeoplasm GradingPrognosisBiomarkers, TumorCKMT1B protein, humanCreatine Kinase, Mitochondrial Form

Identifiers

PMID33465115
PMCPMC7815138
OpenAlexW3123473886

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Registered trials

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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.