Evidence map›Paper›PMID 32602029›Full record

ArticleJournal of molecular neuroscience : MN2020

Identification of Prognostic Signatures of Alternative Splicing in Glioma.

Yu Zeng, Peidong Zhang, Xizhao Wang, Ke Wang, Mingfeng Zhou, Hao Long, Jie Lin, Zhiyong Wu, Liang Gao, Ye Song

Abstract read
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In one paragraph

Article in Journal of molecular neuroscience : MN, 2020. 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
1.0field-weighted citation impact, top 25% 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, 15 citations in OpenAlex.

  1. Review
  2. Review
  3. Identification of prognostic alternative splicing signature in gastric cancer.Archives of public health = Archives belges de sante publique · 2022
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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

10 authors at 3 institutions in 1 country.

Yu Zeng *Department of Neurosurgery, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072, People's Republic of China.
Peidong Zhang *Department of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong Province, People's Republic of China.
Xizhao Wang *Department of Neurosurgery, The First Hospital of Quanzhou Affiliated to Fujian Medical University, Quanzhou, 362000, Fujian Province, People's Republic of China.
Ke WangDepartment of Neurosurgery, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072, People's Republic of China.
Mingfeng ZhouDepartment of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong Province, People's Republic of China.
Hao LongDepartment of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong Province, People's Republic of China.
Jie LinDepartment of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong Province, People's Republic of China.
Zhiyong WuDepartment of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong Province, People's Republic of China.
Liang GaoDepartment of Neurosurgery, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072, People's Republic of China. lianggaoh@126.com.
Ye SongDepartment of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong Province, People's Republic of China. songye@smu.edu.cn.ORCID http://orcid.org/0000-0003-3101-1143
Nanfang Hospital · CNTongji University · CNFujian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alternative splicing (AS) is a ubiquitous mechanism in which pre-mRNA can be spliced into divergent variants and involved in carcinogenesis and progression in several cancers. In the present study, we systematically profiled prognostic AS signatures involving both low grade glioma (LGG) and glioblastoma (GBM) and investigated the association of AS signatures with tumor grade and IDH1 status in glioma. Percent spliced in (PSI) values and corresponding clinical data were obtained from TCGA SpliceSeq and TCGA data portal, respectively. Prognostic AS signatures were identified using univariate and stepwise multivariate Cox regression. Heatmap analysis was performed based on prognostic AS signatures. A prognostic signature was established with 69 and 88 AS events, including specific splicing events of MUTYH, STEAP3, and CTNNB1, in LGG and GBM cohorts, respectively. The area under the curve (AUC) of the prediction model was 0.968 at 2000 days of overall survival (OS) in the LGG cohort and 0.966 at 450 days of OS in the GBM cohort. In addition, these prognostic AS signatures could complement current molecular classification, such as IDH1 mutation, 1p/19q codeletion, and ATRX loss, of glioma and further identify potential subgroups of glioma with the same molecular features. In conclusion, our study systematically profiled prognostic AS events involving both low grade glioma and glioblastoma for the first time, which also shed light on the crosstalk between AS signatures and molecular features of glioma.

Indexed as

Alternative SplicingTranscriptomebeta CateninBiomarkers, TumorBrain NeoplasmsCell Cycle ProteinsDNA GlycosylasesGliomaHumansIsocitrate DehydrogenaseMutationOxidoreductasesX-linked Nuclear ProteinATRX protein, humanbeta CateninBiomarkers, TumorCell Cycle ProteinsCTNNB1 protein, humanDNA GlycosylasesIDH1 protein, humanIsocitrate DehydrogenasemutY adenine glycosylaseOxidoreductasesSTEAP3 protein, humanX-linked Nuclear ProteinAlternative splicingGlioblastomaGradeLow grade gliomaMolecular featuresPrognostic signature

Identifiers

PMID32602029
OpenAlexW3038451189

What OpenQuestion holds

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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.