Evidence map›Paper›PMID 34288818›Full record

ArticleBioengineered2021

Integrated multi-omics analysis of the clinical relevance and potential regulatory mechanisms of splicing factors in hepatocellular carcinoma.

Yu-Jia Zhao, Lin-Yong Wu, Jin-Shu Pang, Wei Liao, Yu-Ji Chen, Yun He, Hong Yang

Open access · goldAbstract read
In one paragraph

Article in Bioengineered, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 29% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
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 2 institutions in 1 country.

Yu-Jia ZhaoDepartment of Medical Ultrasonics, First Affiliated Hospital of Guangxi Medical University, Nanning, P. R. China.
Lin-Yong WuDepartment of Medical Ultrasonics, First Affiliated Hospital of Guangxi Medical University, Nanning, P. R. China.
Jin-Shu PangDepartment of Medical Ultrasonics, First Affiliated Hospital of Guangxi Medical University, Nanning, P. R. China.
Wei LiaoDepartment of Medical Ultrasonics, First Affiliated Hospital of Guangxi Medical University, Nanning, P. R. China.
Yu-Ji ChenDepartment of Medical Ultrasonics, First Affiliated Hospital of Guangxi Medical University, Nanning, P. R. China.
Yun HeDepartment of Medical Ultrasonics, First Affiliated Hospital of Guangxi Medical University, Nanning, P. R. China.
Hong YangDepartment of Medical Ultrasonics, First Affiliated Hospital of Guangxi Medical University, Nanning, P. R. China.
First Affiliated Hospital of GuangXi Medical University · CNGuangxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Splicing factors (SFs) have been increasingly documented to perturb the genome of cancers. However, little is known about the alterations of SFs in hepatocellular carcinoma (HCC). This study comprehensively delineated the genomic and epigenomic characteristics of 404 SFs in HCC based on the multi-omics data from the Cancer Genome Atlas database. The analysis revealed several clinically relevant SFs that could be effective biomarkers for monitoring the onset and prognosis of HCC (such as, HSPB1, DDX39A, and NELFE, which were the three most significant clinically relevant SFs). Functional enrichment analysis of these indicators showed the enrichment of pathways related to splicing and mRNA processes. Furthermore, the study found that SF copy number variation is common in HCC and could be a typical characteristic of hepato-carcinogenesis; the complex expression regulation of SFs was significantly affected by copy number variant and methylation. Several SFs with significant mutation patterns were identified (such as, RNF213, SF3B1, SPEN, NOVA1, and EEF1A1), and the potential regulatory network of SFs was constructed to identify their potential mechanisms for regulating clinically relevant alternative splicing events. Therefore, this study established a foundation to uncover the broad molecular spectrum of SFs for future functional and therapeutic studies of HCC.

Indexed as

GenomicsAlternative SplicingCarcinoma, HepatocellularCell Line, TumorEpigenesis, GeneticGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansKaplan-Meier EstimateLiver NeoplasmsMutationPrognosisRNA Splicing FactorsSurvival AnalysisRNA Splicing Factorsalternative splicing eventshepatocellular carcinomamulti-omicsSplicing factors

Identifiers

PMID34288818
PMCPMC8806902
OpenAlexW3186314369

What OpenQuestion holds

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LicenceCC BY-NC
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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.