Evidence map›Paper›PMID 35926060›Full record

ArticlePLoS genetics2022

Comprehensive analysis of full-length transcripts reveals novel splicing abnormalities and oncogenic transcripts in liver cancer.

Hiroki Kiyose, Hidewaki Nakagawa, Atsushi Ono, Hiroshi Aikata, Masaki Ueno, Shinya Hayami, Hiroki Yamaue, Kazuaki Chayama, Mihoko Shimada, Jing Hao Wong and 1 more

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
5.4field-weighted citation impact, top 3% 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

22 citing papers in PubMed, 35 citations in OpenAlex.

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  10. Long-read RNA sequencing: A transformative technology for exploring transcriptome complexity in human diseases.Molecular therapy : the journal of the American Society of Gene Therapy · 2025
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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

11 authors at 5 institutions in 1 country.

Hiroki KiyoseDepartment of Human Genetics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Hidewaki NakagawaLaboratory for Cancer Genomics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
Atsushi OnoDepartment of Gastroenterology and Metabolism, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.ORCID 0000-0002-2482-945X
Hiroshi AikataDepartment of Gastroenterology and Metabolism, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.ORCID 0000-0002-3409-2156
Masaki UenoDepartment of Surgery II, Wakayama Medical University, Wakayama, Japan.
Shinya HayamiDepartment of Surgery II, Wakayama Medical University, Wakayama, Japan.
Hiroki YamaueDepartment of Surgery II, Wakayama Medical University, Wakayama, Japan.
Kazuaki ChayamaCollaborative Research Laboratory of Medical Innovation, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.ORCID 0000-0002-5530-5341
Mihoko ShimadaDepartment of Human Genetics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID 0000-0001-8511-6640
Jing Hao WongDepartment of Human Genetics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Akihiro FujimotoDepartment of Human Genetics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID 0000-0002-0075-0800
Hiroshima University · JPThe University of Tokyo · JPWakayama Medical University · JPKyoto University · JPRIKEN Center for Integrative Medical Sciences · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genes generate transcripts of various functions by alternative splicing. However, in most transcriptome studies, short-reads sequencing technologies (next-generation sequencers) have been used, leaving full-length transcripts unobserved directly. Although long-reads sequencing technologies would enable the sequencing of full-length transcripts, the data analysis is difficult. In this study, we developed an analysis pipeline named SPLICE and analyzed cDNA sequences from 42 pairs of hepatocellular carcinoma (HCC) and matched non-cancerous livers with an Oxford Nanopore sequencer. Our analysis detected 46,663 transcripts from the protein-coding genes in the HCCs and the matched non-cancerous livers, of which 5,366 (11.5%) were novel. A comparison of expression levels identified 9,933 differentially expressed transcripts (DETs) in 4,744 genes. Interestingly, 746 genes with DETs, including the LINE1-MET transcript, were not found by a gene-level analysis. We also found that fusion transcripts of transposable elements and hepatitis B virus (HBV) were overexpressed in HCCs. In vitro experiments on DETs showed that LINE1-MET and HBV-human transposable elements promoted cell growth. Furthermore, fusion gene detection showed novel recurrent fusion events that were not detected in the short-reads. These results suggest the efficiency of full-length transcriptome studies and the importance of splicing variants in carcinogenesis.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsAlternative SplicingCarcinogenesisDNA Transposable ElementsHepatitis B virusHigh-Throughput Nucleotide SequencingHumansRNA SplicingTranscriptomeDNA Transposable Elements

Identifiers

PMID35926060
PMCPMC9380957
OpenAlexW4289782751

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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.