Evidence map›Paper›PMID 34348664›Full record

ArticleBMC genomics2021

Multi-omics data integration reveals novel drug targets in hepatocellular carcinoma.

Christos Dimitrakopoulos, Sravanth Kumar Hindupur, Marco Colombi, Dritan Liko, Charlotte K Y Ng, Salvatore Piscuoglio, Jonas Behr, Ariane L Moore, Jochen Singer, Hans-Joachim Ruscheweyh and 5 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

10 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
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  9. Diesel-derived PMFrontiers in endocrinology · 2022
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  10. Review
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 6 institutions in 1 country.

Christos Dimitrakopoulos *Department of Biosystems Science and Engineering, ETH Zürich, 4058, Basel, Switzerland.
Sravanth Kumar Hindupur *Biozentrum, University of Basel, 4056, Basel, Switzerland.
Marco ColombiBiozentrum, University of Basel, 4056, Basel, Switzerland.
Dritan LikoBiozentrum, University of Basel, 4056, Basel, Switzerland.
Charlotte K Y NgInstitute of Pathology, University Hospital Basel, 4031, Basel, Switzerland.
Salvatore PiscuoglioInstitute of Pathology, University Hospital Basel, 4031, Basel, Switzerland.
Jonas BehrDepartment of Biosystems Science and Engineering, ETH Zürich, 4058, Basel, Switzerland.
Ariane L MooreDepartment of Biosystems Science and Engineering, ETH Zürich, 4058, Basel, Switzerland.
Jochen SingerDepartment of Biosystems Science and Engineering, ETH Zürich, 4058, Basel, Switzerland.
Hans-Joachim RuscheweyhDepartment of Biosystems Science and Engineering, ETH Zürich, 4058, Basel, Switzerland.
Matthias S MatterInstitute of Pathology, University Hospital Basel, 4031, Basel, Switzerland.
Dirk MossmannBiozentrum, University of Basel, 4056, Basel, Switzerland.
Luigi M TerraccianoInstitute of Pathology, University Hospital Basel, 4031, Basel, Switzerland.
Michael N HallBiozentrum, University of Basel, 4056, Basel, Switzerland. m.hall@unibas.ch.
Niko BeerenwinkelDepartment of Biosystems Science and Engineering, ETH Zürich, 4058, Basel, Switzerland. beerenwinkel@bsse.ethz.ch.ORCID http://orcid.org/0000-0002-0573-6119
SIB Swiss Institute of Bioinformatics · CHUniversity of Basel · CHUniversity Hospital of Basel · CHNovartis (Switzerland) · CHRoche (Switzerland) · CHUniversity of Bern · CH

Funding

EC Horizon 2020 project SOUND 633974ERC Synergy Grant 609883SystemsX.ch RTD Grant 2013/150
6 · The paper itself

Abstract

backgroundGenetic aberrations in hepatocellular carcinoma (HCC) are well known, but the functional consequences of such aberrations remain poorly understood.

resultsHere, we explored the effect of defined genetic changes on the transcriptome, proteome and phosphoproteome in twelve tumors from an mTOR-driven hepatocellular carcinoma mouse model. Using Network-based Integration of multi-omiCS data (NetICS), we detected 74 'mediators' that relay via molecular interactions the effects of genetic and miRNA expression changes. The detected mediators account for the effects of oncogenic mTOR signaling on the transcriptome, proteome and phosphoproteome. We confirmed the dysregulation of the mediators YAP1, GRB2, SIRT1, HDAC4 and LIS1 in human HCC.

conclusionsThis study suggests that targeting pathways such as YAP1 or GRB2 signaling and pathways regulating global histone acetylation could be beneficial in treating HCC with hyperactive mTOR signaling.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsMicroRNAsPharmaceutical PreparationsHumansTranscriptomeMicroRNAsPharmaceutical PreparationsHCCmTOR signalingNetICSOmics

Identifiers

PMID34348664
PMCPMC8340535
OpenAlexW3192229871

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.