Evidence map›Paper›PMID 34268874›Full record

ArticleCNS neuroscience & therapeutics2021

Establishment of a nomogram with EMP3 for predicting clinical outcomes in patients with glioma: A bi-center study.

Anke Zhang, Houshi Xu, Zeyu Zhang, Yibo Liu, Xiaying Han, Ling Yuan, Yunjia Ni, Shiqi Gao, Yuanzhi Xu, Sheng Chen and 5 more

Open access · goldAbstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in CNS neuroscience & therapeutics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

6 citing papers in PubMed, 11 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

15 authors at 3 institutions in 1 country.

Anke ZhangDepartment of Neurosurgery, School of Medicine, The Second Affiliated Hospital, Zhejiang University, Hangzhou, China.ORCID 0000-0002-0007-7724
Houshi XuDepartment of Neurosurgery, School of Medicine, Shanghai General Hospital, Shanghai Jiao Tong University, Shanghai, China.
Zeyu ZhangDepartment of Neurosurgery, School of Medicine, The Second Affiliated Hospital, Zhejiang University, Hangzhou, China.
Yibo LiuDepartment of Neurosurgery, School of Medicine, The Second Affiliated Hospital, Zhejiang University, Hangzhou, China.
Xiaying HanDepartment of Orthopedics, School of Medicine, Shanghai General Hospital, Shanghai Jiao Tong University, Shanghai, China.
Ling YuanTongji University, Shanghai, China.
Yunjia NiDepartment of Neurosurgery, School of Medicine, Shanghai General Hospital, Shanghai Jiao Tong University, Shanghai, China.
Shiqi GaoDepartment of Neurosurgery, School of Medicine, The Second Affiliated Hospital, Zhejiang University, Hangzhou, China.
Yuanzhi XuDepartment of Neurosurgery, School of Medicine, Shanghai General Hospital, Shanghai Jiao Tong University, Shanghai, China.
Sheng ChenDepartment of Neurosurgery, School of Medicine, The Second Affiliated Hospital, Zhejiang University, Hangzhou, China.ORCID 0000-0002-8374-136X
Junkun JiangTongji University, Shanghai, China.
Yike ChenDepartment of Neurosurgery, School of Medicine, The Second Affiliated Hospital, Zhejiang University, Hangzhou, China.
Xiaotao ZhangDepartment of Neurosurgery, School of Medicine, The Second Affiliated Hospital, Zhejiang University, Hangzhou, China.
Meiqing LouDepartment of Neurosurgery, School of Medicine, Shanghai General Hospital, Shanghai Jiao Tong University, Shanghai, China.
Jianmin ZhangDepartment of Neurosurgery, School of Medicine, The Second Affiliated Hospital, Zhejiang University, Hangzhou, China.ORCID 0000-0002-3184-1502
Second Affiliated Hospital of Zhejiang University · CNShanghai Jiao Tong University · CNTongji University · CN

Funding

National Natural Science Foundation of China 81870916National Natural Science Foundation of China 82071287Natural Science Foundation of Shanghai 18ZR1430400the Cross Research Fund of Medicine and Engineering of Shanghai Jiao Tong University YG2019QNA67
6 · The paper itself

Abstract

aimTo demonstrate the clinical value of epithelial membrane protein 3 (EMP3) with bioinformatic analysis and clinical data, and then to establish a practical nomogram predictive model with bicenter validation.

methodsThe data from CGGA and TCGA database were used to analyze the expression of EMP3 and its correlation with clinical prognosis. Then, we analyzed EMP3 expression in samples from 179 glioma patients from 2013 to 2017. Univariate and multivariate cox regression were used to predict the prognosis with multiple factors. Finally, a nomogram to predict poor outcomes was formulated. The accuracy and discrimination of nomograms were determined with ROC curve and calibration curve in training and validation cohorts.

resultsEMP3 was significantly higher in higher-grade glioma and predicted poor prognosis. In multivariate analysis, high expression of EMP3 (HR = 2.842, 95% CI 1.984-4.071), WHO grade (HR = 1.991, 95% CI 1.235-3.212), and IDH1 mutant (HR = 0.503, 95% CI 0.344-0.737) were included. The nomogram was constructed based on the above features, which represented great predictive value in clinical outcomes.

conclusionThis study demonstrated EMP3 as a novel predictor for clinical progression and clinical outcomes in glioma. Moreover, the nomogram with EMP3 expression represented a practical approach to provide individualized risk assessment for glioma patients.

Indexed as

NomogramsAdultAgedAlgorithmsBiomarkers, TumorBrain NeoplasmsDatabases, GeneticFemaleGliomaHumansIsocitrate DehydrogenaseMaleMembrane GlycoproteinsMiddle AgedPredictive Value of TestsPrognosisBiomarkers, TumorEMP3 protein, humanIDH1 protein, humanIsocitrate DehydrogenaseMembrane Glycoproteinsbiomarkergliomaimmune infiltrationnomogramprognosis

Identifiers

PMID34268874
PMCPMC8446216
OpenAlexW3181681094

What OpenQuestion holds

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LicenceCC BY
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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.