Evidence map›Paper›PMID 32945042›Full record

ArticleCancer science2020

System biology analysis reveals the role of voltage-dependent anion channel in mitochondrial dysfunction during non-alcoholic fatty liver disease progression into hepatocellular carcinoma.

Yanping Zhu, Chao Zhang, Fuyi Xu, Miaoqing Zhao, Jonas Bergquist, Chunhua Yang, Xiuxiu Liu, Ying Tan, Xiang Wang, Shasha Li and 5 more

Open access · goldAbstract read
In one paragraph

Article in Cancer science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

9 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
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  6. Role of CaInternational journal of molecular medicine · 2022
    Review
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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

15 authors at 5 institutions in 4 countries.

Yanping ZhuBinzhou Medical University, Yantai, China.
Chao ZhangBinzhou Medical University, Yantai, China.
Fuyi XuThe University of Tennessee Health Science Center, Memphis, TN, USA.
Miaoqing ZhaoShandong Provincial Hospital, Jinan, China.
Jonas BergquistBinzhou Medical University, Yantai, China.
Chunhua YangBinzhou Medical University, Yantai, China.
Xiuxiu LiuBinzhou Medical University, Yantai, China.
Ying TanBinzhou Medical University, Yantai, China.
Xiang WangBinzhou Medical University, Yantai, China.
Shasha LiBinzhou Medical University, Yantai, China.
Wenguo JiangBinzhou Medical University, Yantai, China.
Qunxiang OngSingapore Bioimaging Consortium, Singapore, Singapore.
Lu LuThe University of Tennessee Health Science Center, Memphis, TN, USA.
Jia MiBinzhou Medical University, Yantai, China.ORCID https://orcid.org/0000-0001-7713-7548
Geng TianBinzhou Medical University, Yantai, China.
Binzhou Medical University · CNUniversity of Tennessee Health Science Center · USShandong Provincial Hospital · CNSingapore Bioimaging Consortium · SGUppsala University · SE

Funding

BZMC Scientific Research Foundation BY2017KYQD08National Natural Science Foundation of China 31671139National Natural Science Foundation of China 31771284Natural Science Foundation of Shandong Province 2017GSF18103Natural Science Foundation of Shandong Province 2018GSNatural Science Foundation of Shandong Province 2018GSF118131Natural Science Foundation of Shandong Province 2018GSF118183Swedish Research Grant 2015-4870Taishan Scholars Construction Engineering, The Shandong Excellent Young Scientist Award ZR2016JL026
6 · The paper itself

Abstract

Non-alcoholic fatty liver disease (NAFLD) is one of the most common causes of hepatocellular carcinoma (HCC), but the underlying mechanisms behind the correlation of NAFLD with HCC are unclear. We aimed to uncover the genes and potential mechanisms that drive this progression. This study uncovered the genes and potential mechanisms through a multiple 'omics integration approach. Quantitative proteomics combined with phenotype-association analysis was performed. To investigate the potential mechanisms, a comprehensive transcriptome/lipidome/phenome-wide association analysis was performed in genetic reference panel BXD mice strains. The quantitative proteomics combined with phenotype-association results showed that VDAC1 was significantly increased in tumor tissues and correlated with NAFLD-related traits. Gene co-expression network analysis indicated that VDAC1 is involved in mitochondria dysfunction in the tumorigenic/tumor progression. The association between VDAC1 and mitochondria dysfunction can be explained by the fact that VDAC1 was associated with mitochondria membrane lipids cardiolipin (CL) composition shift. VDAC1 was correlated with the suppression of mature specie CL(LLLL) and elevation level of nascent CL species. Such profiling shift was supported by the significant positive correlation between VDAC1 and PTPMT1, as well as negative correlation with CL remodeling enzyme Tafazzin (TAZ). This study confirmed that the expression of VADC1 was dysregulated in NAFLD-driven HCC and associated with NAFLD progression. The VDAC1-driven mitochondria dysfunction is associated with cardiolipin composition shift, which causes alteration of mitochondria membrane properties.

Indexed as

AgedAnimalsCarcinoma, HepatocellularDisease Models, AnimalDisease SusceptibilityGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksGenetic VariationHumansLiver NeoplasmsMaleMiceMiddle AgedMitochondriaNeoplasm GradingProteomeVoltage-Dependent Anion Channelshepatocellular carcinomamitochondria dysfunctionnon-alcoholic fatty liver diseasesystem biologyvoltage-dependent anion channel

Identifiers

PMID32945042
PMCPMC7648023
OpenAlexW3087758942

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.