Evidence map›Paper›PMID 34903603›Full record

ArticleCancer research2022

Comprehensive Analysis of Alternative Splicing in Gastric Cancer Identifies Epithelial-Mesenchymal Transition Subtypes Associated with Survival.

Yukyung Jun, Yun-Suhk Suh, SungHee Park, Jieun Lee, Jong-Il Kim, Sanghyuk Lee, Wan-Ping Lee, Olga Anczuków, Han-Kwang Yang, Charles Lee

Open access · hybridAbstract read
In one paragraph

Article in Cancer research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.8field-weighted citation impact, top 8% 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

21 citing papers in PubMed, 36 citations in OpenAlex.

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  18. A new molecular subclassification andFrontiers in pharmacology · 2023
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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 4 institutions in 6 countries.

Yukyung Jun *The Jackson Laboratory for Genomic Medicine, Farmington, Connecticut.ORCID 0000-0002-4025-7164
Yun-Suhk Suh *The Jackson Laboratory for Genomic Medicine, Farmington, Connecticut.ORCID 0000-0003-3319-8482
SungHee ParkThe Jackson Laboratory for Genomic Medicine, Farmington, Connecticut.ORCID 0000-0002-3453-9501
Jieun LeeDepartment of Surgery, Seoul National University Bundang Hospital, Seongnam, Korea.
Jong-Il KimDepartment of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea.
Sanghyuk LeeEwha-JAX Cancer Immunotherapy Research Center, Ewha Womans University, Seoul, Korea.
Wan-Ping LeeThe Jackson Laboratory for Genomic Medicine, Farmington, Connecticut.ORCID 0000-0002-5305-1181
Olga AnczukówThe Jackson Laboratory for Genomic Medicine, Farmington, Connecticut.ORCID 0000-0003-0516-2677
Han-Kwang YangDepartment of Surgery, Seoul National University College of Medicine, Seoul, Korea.
Charles LeeThe Jackson Laboratory for Genomic Medicine, Farmington, Connecticut.
Ewha Womans University · KRJackson Laboratory · USNew Generation University College · ETSeoul National University Bundang Hospital · KR

Funding

Korea government NRF-2020R1C1C1009225Korea Health Industry Development Institute HI14C1277Korean Health Industry Development Institute HI13C2148National Research Foundation of Korea NRF-2015K1A4A3047851SNUBH Research Fund 13-2021-0015
6 · The paper itself

Abstract

Alternatively spliced RNA isoforms are a hallmark of tumors, but their nature, prevalence, and clinical implications in gastric cancer have not been comprehensively characterized. We systematically profiled the splicing landscape of 83 gastric tumors and matched normal mucosa, identifying and experimentally validating eight splicing events that can classify all gastric cancers into three subtypes: epithelial-splicing (EpiS), mesenchymal-splicing (MesS), and hybrid-splicing. These subtypes were associated with distinct molecular signatures and epithelial-mesenchymal transition markers. Subtype-specific splicing events were enriched in motifs for splicing factors RBM24 and ESRP1, which were upregulated in MesS and EpiS tumors, respectively. A simple classifier based only on RNA levels of RBM24 and ESRP1, which can be readily implemented in the clinic, was sufficient to distinguish gastric cancer subtypes and predict patient survival in multiple independent patient cohorts. Overall, this study provides insights into alternative splicing in gastric cancer and the potential clinical utility of splicing-based patient classification. SIGNIFICANCE: This study presents a comprehensive analysis of alternative splicing in the context of patient classification, molecular mechanisms, and prognosis in gastric cancer.

Indexed as

Alternative SplicingGene Expression Regulation, NeoplasticAdultAgedAged, 80 and overCell Line, TumorCluster AnalysisEpithelial-Mesenchymal TransitionFemaleGene Expression ProfilingHumansKaplan-Meier EstimateMaleMiddle AgedReverse Transcriptase Polymerase Chain ReactionRNA-Binding ProteinsESRP1 protein, humanRBM24 protein, humanRNA-Binding ProteinsRNA Splicing Factors

Identifiers

PMID34903603
PMCPMC9359730
OpenAlexW4200506089

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.