Evidence map›Paper›PMID 31856847›Full record

ArticleBMC medical genomics2019

Differential alternative splicing regulation among hepatocellular carcinoma with different risk factors.

Young-Joo Jin, Seyoun Byun, Seonggyun Han, John Chamberlin, Dongwook Kim, Min Jung Kim, Younghee Lee

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 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
0.8field-weighted citation impact, top 32% 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, 17 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. RNA splicing: a dual-edged sword for hepatocellular carcinoma.Medical oncology (Northwood, London, England) · 2022
    Review
  10. Article
  11. Review
  12. Article
  13. Alternative RNA Splicing in Fatty Liver Disease.Frontiers in endocrinology · 2021
    Review
  14. Article
  15. Alternative Splicing in Hepatocellular Carcinoma.Cellular and molecular gastroenterology and hepatology · 2020
    Review
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

7 authors at 3 institutions in 2 countries.

Young-Joo JinDepartment of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, UT, USA.
Seyoun ByunDepartment of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, UT, USA.
Seonggyun HanDepartment of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, UT, USA.
John ChamberlinDepartment of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, UT, USA.
Dongwook KimDepartment of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, UT, USA.
Min Jung KimDepartment of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, UT, USA.
Younghee LeeDepartment of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, UT, USA. younghee.lee@utah.edu.ORCID 0000-0002-6850-0082
University of Utah · USInha University · KRMassachusetts College of Pharmacy and Health Sciences · US

Funding

Ministry of Education, Science and Technology (KR) NRF-2017M3C9A6047623
6 · The paper itself

Abstract

backgroundHepatitis B virus (HBV), hepatitis C virus (HCV), and alcohol consumption are predominant causes of hepatocellular carcinoma (HCC). However, the molecular mechanisms underlying how differently these causes are implicated in HCC development are not fully understood. Therefore, we investigated differential alternative splicing (AS) regulation among HCC patients with these risk factors.

methodsWe conducted a genome-wide survey of AS events associated with HCCs among HBV (n = 95), HCV (n = 47), or alcohol (n = 76) using RNA-sequencing data obtained from The Cancer Genome Atlas.

resultsIn three group comparisons of HBV vs. HCV, HBV vs. alcohol, and HCV vs. alcohol for RNA seq (ΔPSI> 0.05, FDR < 0.05), 133, 93, and 29 differential AS events (143 genes) were identified, respectively. Of 143 AS genes, eight and one gene were alternatively spliced specific to HBV and HCV, respectively. Through functional analysis over the canonical pathways and gene ontologies, we identified significantly enriched pathways in 143 AS genes including immune system, mRNA splicing-major pathway, and nonsense-mediated decay, which may be important to carcinogenesis in HCC risk factors. Among eight genes with HBV-specific splicing events, HLA-A, HLA-C, and IP6K2 exhibited more differential expression of AS events (ΔPSI> 0.1). Intron retention of HLA-A was observed more frequently in HBV-associated HCC than HCV- or alcohol-associated HCC, and intron retention of HLA-C showed vice versa. Exon 3 (based on ENST00000432678) of IP6K2 was less skipped in HBV-associated in HCC compared to HCV- or alcohol-associated HCC.

conclusionAS may play an important role in regulating transcription differences implicated in HBV-, HCV-, and alcohol-related HCC development.

Indexed as

Alternative SplicingCarcinoma, HepatocellularFemaleGenomicsHLA-A AntigensHLA-C AntigensHumansLiver NeoplasmsMaleMiddle AgedPhosphotransferases (Phosphate Group Acceptor)Risk FactorsRNA-SeqHLA-A AntigensHLA-C Antigensinositol hexakisphosphate kinasePhosphotransferases (Phosphate Group Acceptor)AlcoholAlternative splicing, hepatitis B virusHepatitis C virusHepatocellular carcinomaRNA-sequencing

Identifiers

PMID31856847
PMCPMC6923823
OpenAlexW2996286089

What OpenQuestion 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 OpenQuestion graph.