Evidence map›Paper›PMID 31355251›Full record

ArticleBioMed research international2019

Whole Genome Analysis and Prognostic Model Construction Based on Alternative Splicing Events in Endometrial Cancer.

Caixia Wang, Mingjun Zheng, Shuang Wang, Xin Nie, Qian Guo, Lingling Gao, Xiao Li, Yue Qi, Juanjuan Liu, Bei Lin

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

15 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
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  5. Role of alternative splicing events in endometrial cancer prognosis.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2021
    Article
  6. Article
  7. Diagnostic and prognostic value of thymidylate synthase expression in breast cancer.Clinical and experimental pharmacology & physiology · 2021
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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 1 institution in 1 country.

Caixia WangDepartment of Obstetrics and Gynaecology, Shengjing Hospital Affiliated to China Medical University, Liaoning, China.ORCID https://orcid.org/0000-0001-6314-7286
Mingjun ZhengDepartment of Obstetrics and Gynaecology, Shengjing Hospital Affiliated to China Medical University, Liaoning, China.
Shuang WangDepartment of Obstetrics and Gynaecology, Shengjing Hospital Affiliated to China Medical University, Liaoning, China.
Xin NieDepartment of Obstetrics and Gynaecology, Shengjing Hospital Affiliated to China Medical University, Liaoning, China.
Qian GuoDepartment of Obstetrics and Gynaecology, Shengjing Hospital Affiliated to China Medical University, Liaoning, China.
Lingling GaoDepartment of Obstetrics and Gynaecology, Shengjing Hospital Affiliated to China Medical University, Liaoning, China.
Xiao LiDepartment of Obstetrics and Gynaecology, Shengjing Hospital Affiliated to China Medical University, Liaoning, China.
Yue QiDepartment of Obstetrics and Gynaecology, Shengjing Hospital Affiliated to China Medical University, Liaoning, China.
Juanjuan LiuDepartment of Obstetrics and Gynaecology, Shengjing Hospital Affiliated to China Medical University, Liaoning, China.
Bei LinDepartment of Obstetrics and Gynaecology, Shengjing Hospital Affiliated to China Medical University, Liaoning, China.ORCID https://orcid.org/0000-0002-8881-9859
China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesA growing body of evidence has shown that aberrant alternative splicing (AS) is closely related to the occurrence and development of cancer. However, prior studies mainly have concentrated on a few genes that exhibit aberrant AS. This study aimed to determine AS events through whole genome analysis and construct a prognostic model of endometrial cancer (EC).

methodsWe downloaded gene expression RNAseq data from UCSC Xena, and seven types of AS events from TCGA SpliceSeq. Univariate Cox regression was employed to analyze the prognostic-related alternative splicing events (PASEs) and splicing factors; multivariate Cox regression was conducted to analyze the effect of risk score (All) and clinicopathological parameters on EC prognosis. An underlying interaction network of PASEs of EC was constructed by Cytoscape Reactome FI, GO, and KEGG pathway enrichment was performed by DAVID. ROC curves and Kaplan-Meir analysis were used to assess the diagnostic value of prognostic model. The correlation between PASEs and splicing factors was analyzed by GraphPad Prism; then a network was constructed using Cytoscape.

resultsIn total, 28,281 AS events in EC were identified, which consisted of 1166 PASEs. RNPS1, NEK2, and CTNNB1 were the hub genes in the network of the top 600 PASEs. The area under the curve (AUC) of risk score (All) reached 0.819. Risk score (All) together with FIGO stage, cancer status, and primary therapy outcome success was risk factors of the prognosis of EC patients. Splicing factors YBX1, HNRNPDL, and HNRNPA1 were significantly related to the overall survival (OS). The splicing network indicated that the expression of splicing factors was significantly correlated with percent-splice-in (PSI) value of PASEs.

conclusionWe constructed a model for predicting the prognosis of EC patients based on PASEs using whole genome analysis of AS events and thereby provided a reliable theoretical basis for EC clinical prognosis evaluation.

Indexed as

Alternative SplicingEndometrial NeoplasmsGene Expression Regulation, NeoplasticModels, BiologicalNeoplasm ProteinsDisease-Free SurvivalFemaleGenome-Wide Association StudyHumansSurvival RateWhole Genome SequencingNeoplasm Proteins

Identifiers

PMID31355251
PMCPMC6634061
OpenAlexW2953453613

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.