Evidence map›Paper›PMID 34233293›Full record

ArticleAging2021

Glycolysis- and immune-related novel prognostic biomarkers of Ewing's sarcoma: glucuronic acid epimerase and triosephosphate isomerase 1.

Jie Jiang, Xinli Zhan, Guoyong Xu, Tuo Liang, Chaojie Yu, Shian Liao, Liyi Chen, Shengsheng Huang, Xuhua Sun, Ming Yi and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Aging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

10 citing papers in PubMed, 20 citations in OpenAlex.

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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

13 authors at 2 institutions in 1 country.

Jie JiangThe First Clinical Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Province, China.
Xinli ZhanThe First Clinical Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Province, China.
Guoyong XuThe First Clinical Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Province, China.
Tuo LiangThe First Clinical Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Province, China.
Chaojie YuThe First Clinical Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Province, China.
Shian LiaoThe First Clinical Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Province, China.
Liyi ChenThe First Clinical Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Province, China.
Shengsheng HuangThe First Clinical Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Province, China.
Xuhua SunThe First Clinical Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Province, China.
Ming YiThe First Clinical Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Province, China.
Zide ZhangThe First Clinical Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Province, China.
Yuanlin YaoThe First Clinical Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Province, China.
Chong LiuThe First Clinical Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Province, China.
First Affiliated Hospital of GuangXi Medical University · CNGuangxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionOwing to the poor prognosis of Ewing's sarcoma, reliable prognostic biomarkers are highly warranted for clinical diagnosis of the disease. MATERIALS AND

methodsA combination of the weighted correlation network analysis and differentially expression analysis was used for initial screening; glycolysis-related genes were extracted and subjected to univariate Cox, LASSO regression, and multivariate Cox analyses to construct prognostic models. The immune cell composition of each sample was analysed using CIBERSORT software. Immunohistochemical analysis was performed for assessing the differential expression of modelled genes in Ewing's sarcoma and paraneoplastic tissues.

resultsA logistic regression model constructed for the prognosis of Ewing's sarcoma exhibited that the patient survival rate in the high-risk group is much lower than in the low-risk group. CIBERSORT analysis exhibited a strong correlation of Ewing's sarcoma with naïve B cells, CD8

conclusions

Indexed as

Biomarkers, TumorCarbohydrate EpimerasesGene Expression Regulation, NeoplasticGlycolysisHumansImmunohistochemistryKaplan-Meier EstimateMacrophagesModels, BiologicalParaneoplastic SyndromesPrognosisRisk AssessmentSarcoma, EwingSurvival AnalysisTriose-Phosphate IsomeraseBiomarkers, TumorCarbohydrate EpimerasesGLCE protein, humanTriose-Phosphate IsomeraseEwing's sarcomaglycolysisimmune infiltrationimmunohistochemistryWGCNA

Identifiers

PMID34233293
PMCPMC8312448
OpenAlexW3182094520

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.