Evidence map›Paper›PMID 29073636›Full record

ArticleBritish journal of cancer2017

Global metabolomic profiling of uterine leiomyomas.

Hanna-Riikka Heinonen, Miika Mehine, Netta Mäkinen, Annukka Pasanen, Esa Pitkänen, Auli Karhu, Nanna S Sarvilinna, Jari Sjöberg, Oskari Heikinheimo, Ralf Bützow and 2 more

Open access · hybridAbstract read
In one paragraph

Article in British journal of cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 pooled it
2.4field-weighted citation impact, top 12% 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, 2 syntheses or guidelines pooled it, 43 citations in OpenAlex.

  1. Pooled it
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  6. Modeling Uterine Fibroids Using Bioengineered Hydrogels.ACS biomaterials science & engineering · 2025
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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

12 authors at 3 institutions in 2 countries.

Hanna-Riikka HeinonenDepartment of Medical and Clinical Genetics and Genome-Scale Biology Research Program, University of Helsinki, P.O. Box 63, Helsinki FIN-00014, Finland.
Miika MehineDepartment of Medical and Clinical Genetics and Genome-Scale Biology Research Program, University of Helsinki, P.O. Box 63, Helsinki FIN-00014, Finland.
Netta MäkinenDepartment of Medical and Clinical Genetics and Genome-Scale Biology Research Program, University of Helsinki, P.O. Box 63, Helsinki FIN-00014, Finland.
Annukka PasanenDepartment of Pathology, University of Helsinki and Helsinki University Hospital, P.O. Box 21, Helsinki FIN-00014, Finland.
Esa PitkänenDepartment of Medical and Clinical Genetics and Genome-Scale Biology Research Program, University of Helsinki, P.O. Box 63, Helsinki FIN-00014, Finland.
Auli KarhuDepartment of Medical and Clinical Genetics and Genome-Scale Biology Research Program, University of Helsinki, P.O. Box 63, Helsinki FIN-00014, Finland.
Nanna S SarvilinnaDepartment of Obstetrics and Gynaecology, University of Helsinki and Helsinki University Hospital, P.O. Box 140, Helsinki FIN-00029, Finland.
Jari SjöbergDepartment of Obstetrics and Gynaecology, University of Helsinki and Helsinki University Hospital, P.O. Box 140, Helsinki FIN-00029, Finland.
Oskari HeikinheimoDepartment of Obstetrics and Gynaecology, University of Helsinki and Helsinki University Hospital, P.O. Box 140, Helsinki FIN-00029, Finland.
Ralf BützowDepartment of Pathology, University of Helsinki and Helsinki University Hospital, P.O. Box 21, Helsinki FIN-00014, Finland.
Lauri A AaltonenDepartment of Medical and Clinical Genetics and Genome-Scale Biology Research Program, University of Helsinki, P.O. Box 63, Helsinki FIN-00014, Finland.
Eevi KaasinenDivision of Functional Genomics, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Scheeles Väg 2, Stockholm SE-17177, Sweden.
University of Helsinki · FIHelsinki University Hospital · FIKarolinska Institutet · SE

Funding

European Research Council 695727
6 · The paper itself

Abstract

backgroundUterine leiomyomas can be classified into molecularly distinct subtypes according to their genetic triggers: MED12 mutations, HMGA2 upregulation, or inactivation of FH. The aim of this study was to identify metabolites and metabolic pathways that are dysregulated in different subtypes of leiomyomas.

methodsWe performed global metabolomic profiling of 25 uterine leiomyomas and 17 corresponding myometrium specimens using liquid chromatography-tandem mass spectroscopy.

resultsA total of 641 metabolites were detected. All leiomyomas displayed reduced homocarnosine and haeme metabolite levels. We identified a clearly distinct metabolomic profile for leiomyomas of the FH subtype, characterised by metabolic alterations in the tricarboxylic acid cycle and pentose phosphate pathways, and increased levels of multiple lipids and amino acids. Several metabolites were uniquely elevated in leiomyomas of the FH subtype, including N6-succinyladenosine and argininosuccinate, serving as potential biomarkers for FH deficiency. In contrast, leiomyomas of the MED12 subtype displayed reduced levels of vitamin A, multiple membrane lipids and amino acids, and dysregulation of vitamin C metabolism, a finding which was also compatible with gene expression data.

conclusionsThe study reveals the metabolomic heterogeneity of leiomyomas and provides the requisite framework for strategies designed to target metabolic alterations promoting the growth of these prevalent tumours.

Indexed as

AdenosineAmino AcidsArgininosuccinic AcidAscorbic AcidCitric Acid CycleFemaleFumarate HydrataseHMGA2 ProteinHumansLeiomyomaLipid MetabolismMediator ComplexMetabolic Networks and PathwaysMetabolomePentose Phosphate PathwayUterine NeoplasmsAdenosineAmino AcidsArgininosuccinic AcidAscorbic AcidFumarate HydrataseHMGA2 ProteinMED12 protein, humanMediator ComplexsuccinyladenosineVitamin A

Identifiers

PMID29073636
PMCPMC5729474
OpenAlexW2766502389

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.