Evidence map›Paper›PMID 32423389›Full record

ArticleBMC cancer2020

Comprehensive metabolomics analysis of prostate cancer tissue in relation to tumor aggressiveness and TMPRSS2-ERG fusion status.

Ilona Dudka, Elin Thysell, Kristina Lundquist, Henrik Antti, Diego Iglesias-Gato, Amilcar Flores-Morales, Anders Bergh, Pernilla Wikström, Gerhard Gröbner

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

32 citing papers in PubMed, 77 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

9 authors at 2 institutions in 2 countries.

Ilona DudkaDepartment of Chemistry, Umeå University, Linnaeus väg 6, 901 87, Umeå, Sweden.
Elin ThysellDepartment of Medical Biosciences, Pathology, Umeå University, Umeå, Sweden.
Kristina LundquistDepartment of Chemistry, Umeå University, Linnaeus väg 6, 901 87, Umeå, Sweden.
Henrik AnttiDepartment of Chemistry, Umeå University, Linnaeus väg 6, 901 87, Umeå, Sweden.
Diego Iglesias-GatoIVS, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark.
Amilcar Flores-MoralesIVS, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark.
Anders BerghDepartment of Medical Biosciences, Pathology, Umeå University, Umeå, Sweden.
Pernilla WikströmDepartment of Medical Biosciences, Pathology, Umeå University, Umeå, Sweden.
Gerhard GröbnerDepartment of Chemistry, Umeå University, Linnaeus väg 6, 901 87, Umeå, Sweden. gerhard.grobner@chem.umu.se.ORCID http://orcid.org/0000-0001-7380-8797
Umeå University · SEUniversity of Copenhagen · DK

Funding

Cancerfonden 170211Stiftelsen för Strategisk Forskning RB13-0119Vetenskapsrådet 2016-06963
6 · The paper itself

Abstract

backgroundProstate cancer (PC) can display very heterogeneous phenotypes ranging from indolent asymptomatic to aggressive lethal forms. Understanding how these PC subtypes vary in their striving for energy and anabolic molecules is of fundamental importance for developing more effective therapies and diagnostics. Here, we carried out an extensive analysis of prostate tissue samples to reveal metabolic alterations during PC development and disease progression and furthermore between TMPRSS2-ERG rearrangement-positive and -negative PC subclasses.

methodsComprehensive metabolomics analysis of prostate tissue samples was performed by non-destructive high-resolution magic angle spinning nuclear magnetic resonance (

resultsThe obtained metabolite patterns significantly differed between PC and benign tissue and between samples with high and low Gleason score (GS). Five key metabolites (phosphocholine, glutamate, hypoxanthine, arginine and α-glucose) were identified, who were sufficient to differentiate between cancer and benign tissue and between high to low GS. In ERG-positive PC, the analysis revealed several acylcarnitines among the increased metabolites together with decreased levels of proteins involved in β-oxidation; indicating decreased acyl-CoAs oxidation in ERG-positive tumors. The ERG-positive group also showed increased levels of metabolites and proteins involved in purine catabolism; a potential sign of increased DNA damage and oxidative stress.

conclusionsOur comprehensive metabolomic analysis strongly indicates that ERG-positive PC and ERG-negative PC should be considered as different subtypes of PC; a fact requiring different, sub-type specific treatment strategies for affected patients.

Indexed as

MetabolomeBiomarkers, TumorFollow-Up StudiesHumansMagnetic Resonance SpectroscopyMaleNeoplasm GradingOncogene Proteins, FusionProstatectomyProstatic NeoplasmsBiomarkers, TumorOncogene Proteins, FusionTMPRSS2-ERG fusion protein, human1H HRMAS NMRGleason scoreMetabolomicsProstate cancerTMPRSS2-ERG

Identifiers

PMID32423389
PMCPMC7236196
OpenAlexW3026283289

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.