Evidence map›Paper›PMID 37403120›Full record

ArticleBiomarker research2023

Whole genome and RNA sequencing analyses for 254 Taiwanese hepatocellular carcinomas.

Ya-Sian Chang, Siang-Jyun Tu, Hong-Da Chen, Chin-Chun Chung, Ming-Hon Hsu, Yu-Pao Chou, Ya-Ting Lee, Ju-Chen Yen, Long-Bin Jeng, Jan-Gowth Chang

Open access · goldAbstract read
In one paragraph

Article in Biomarker research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

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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 2 institutions in 1 country.

Ya-Sian ChangCenter for Precision Medicine, China Medical University Hospital, 2 Yuh-Der Road, Taichung, 404, Taiwan.
Siang-Jyun TuCenter for Precision Medicine, China Medical University Hospital, 2 Yuh-Der Road, Taichung, 404, Taiwan.
Hong-Da ChenCenter for Precision Medicine, China Medical University Hospital, 2 Yuh-Der Road, Taichung, 404, Taiwan.
Chin-Chun ChungCenter for Precision Medicine, China Medical University Hospital, 2 Yuh-Der Road, Taichung, 404, Taiwan.
Ming-Hon HsuCenter for Precision Medicine, China Medical University Hospital, 2 Yuh-Der Road, Taichung, 404, Taiwan.
Yu-Pao ChouCenter for Precision Medicine, China Medical University Hospital, 2 Yuh-Der Road, Taichung, 404, Taiwan.
Ya-Ting LeeCenter for Precision Medicine, China Medical University Hospital, 2 Yuh-Der Road, Taichung, 404, Taiwan.
Ju-Chen YenCenter for Precision Medicine, China Medical University Hospital, 2 Yuh-Der Road, Taichung, 404, Taiwan.
Long-Bin JengOrgan Transplantation Center, China Medical University Hospital, 2 Yuh-Der Road, Taichung, 404, Taiwan. longbin.cmuh@gmail.com.
Jan-Gowth ChangCenter for Precision Medicine, China Medical University Hospital, 2 Yuh-Der Road, Taichung, 404, Taiwan. d6781@mail.cmuh.org.tw.
China Medical University · TWChina Medical University Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundComprehensive and integrative analysis of hepatocellular carcinoma (HCC) is important. In this study, we explored Taiwanese HCCs using multi-omics analyses.

methodsWe analyzed 254 HCCs by whole genome sequencing and total RNA sequencing, and then used bioinformatic tools to analyze genomic and transcriptomic alterations in coding and non-coding sequences to explore the clinical importance of each sequence.

resultsThe frequencies of the five most commonly mutated cancer-related genes were TERT, TP53, CTNNB1, RB1, and ARID1A. Genetic alteration frequencies influenced the etiology of HCC; some alterations were also correlated with clinicopathological conditions. Many cancer-related genes had copy number alterations (CNAs) and structure variants (SVs) that changed according to etiology and exhibited potential associations with survival. We also identified several alterations in histone-related genes, HCC-related long non-coding RNAs, and non-coding driver genes that may contribute to the onset and progression of HCC. Transcriptomic analysis revealed that 229 differentially expressed and 148 novel alternative splicing (AS) genes, as well as the presence of fusion genes, were associated with patient survival. Moreover, somatic mutations, CNAs, and SVs were associated with immune checkpoint gene expression and tumor microenvironment. Finally, we identified relationships among AS, immune checkpoint gene expression and tumor microenvironment.

conclusionsThis study shows that genomic alterations are associated with survival, including DNA-based and RNA-based data. Moreover, genomic alterations and their associations with immune checkpoint genes and the tumor microenvironment may provide novel insights for the diagnosis and treatment of HCC.

Indexed as

Alternative splicingImmune checkpoint geneRNA sequencingTaiwanese HCCTumor microenvironmentWhole genome sequencing

Identifiers

PMID37403120
PMCPMC10320951
OpenAlexW4383102464

What OpenQuestion holds

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LicenceCC BY
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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.