Evidence map›Paper›PMID 31395065›Full record

ArticleBMC cancer2019

Targeted genomic profiling identifies frequent deleterious mutations in FAT4 and TP53 genes in HBV-associated hepatocellular carcinoma.

Fung-Yu Huang, Danny Ka-Ho Wong, Vivien Wai-Man Tsui, Wai-Kay Seto, Lung-Yi Mak, Tan-To Cheung, Keane K-Y Lai, Man-Fung Yuen

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
3.0field-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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 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

8 authors at 3 institutions in 3 countries.

Fung-Yu HuangDepartment of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong SAR, Hong Kong.
Danny Ka-Ho WongDepartment of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong SAR, Hong Kong.
Vivien Wai-Man TsuiDepartment of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong SAR, Hong Kong.
Wai-Kay SetoDepartment of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong SAR, Hong Kong.
Lung-Yi MakDepartment of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong SAR, Hong Kong.
Tan-To CheungState Key Laboratory of Liver Research, The University of Hong Kong, Hong Kong SAR, Hong Kong.
Keane K-Y LaiDepatment of Pathology, City of Hope National Medical Center, Duarte, CA, USA.
Man-Fung YuenDepartment of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong SAR, Hong Kong. mfyuen@hku.hk.
University of Hong Kong · HKCity of Hope · USQueen Mary Hospital · CN

Funding

Stearoyl-CoA Desaturase in Alcohol-Promoted Liver TumorigenesisK08AA025112 · NIAAA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI LAI, KEANE · 2017 to 2021
$978k
NIAAA NIH HHS K08 AA025112The U.S. National Institutes of Health K08AA025112
6 · The paper itself

Abstract

backgroundHepatitis B virus (HBV) is the major risk factor for hepatocellular carcinoma (HCC). The molecular mechanisms underlying HBV-associated HCC pathogenesis is still unclear. Genetic alterations in cancer-related genes have been linked to many human cancers. Here, we aimed to explore genetic alterations in selected cancer-related genes in patients with HBV-associated HCC.

methodsTargeted sequencing was used to analyze six cancer-related genes (PIK3CA, TP53, FAT4, IRF2, HNF4α and ARID1A) in eight pairs of HBV-associated HCC tumors and their adjacent non-tumor tissues. Sanger sequencing, quantitative PCR, Western-blotting and RNAi-mediated gene knockdown were used to further validate findings.

resultsTargeted sequencing revealed thirteen non-synonymous mutations, of which 9 (69%) were found in FAT4 and 4 (31%) were found in TP53 genes. Non-synonymous mutations were not found in PIK3CA, IRF2, HNF4α and ARID1A. Among these 13 non-synonymous mutations, 12 (8 in FAT4 and 4 in TP53) were predicted to have deleterious effect on protein function by in silico analysis. For TP53, Y220S, R249S and P250R non-synonymous mutations were solely identified in tumor tissues. Further expression profiling of FAT4 and TP53 on twenty-eight pairs of HCC tumor and non-tumor tissues confirmed significant downregulation of both genes in HCC tumors compared with their non-tumor counterparts (P < 0.001 and P < 0.01, respectively). Functional analysis using RNAi-mediated knockdown of FAT4 revealed an increased cancer cell growth and proliferation, suggesting the putative tumor suppressor role of FAT4 in HCC.

conclusionsThis study highlights the importance of FAT4 and TP53 in HCC pathogenesis and identifies new genetic variants that may have potentials for development of precise therapy for HCC.

Indexed as

Biomarkers, TumorMutationAllelesCadherinsCarcinoma, HepatocellularCell Line, TumorDNA Mutational AnalysisGene Expression ProfilingGene FrequencyGenomicsHepatitis BHepatitis B virusHumansINDEL MutationLiver NeoplasmsTumor Suppressor Protein p53Biomarkers, TumorCadherinsFAT4 protein, humanTumor Suppressor Protein p53Tumor Suppressor ProteinsCustomized therapiesDeleterious mutationsGene silencingHepatocellular carcinomaTargeted sequencing

Identifiers

PMID31395065
PMCPMC6686555
OpenAlexW2967766217

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.