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Metabolomics for diagnosis and prognosis of uterine diseases? A systematic review.
J. Pers. Med. 10:294 (2020)
This systematic review analyses the contribution of metabolomics to the identification of diagnostic and prognostic biomarkers for uterine diseases. These diseases are diagnosed invasively, which entails delayed treatment and a worse clinical outcome. New options for diagnosis and prognosis are needed. PubMed, OVID, and Scopus were searched for research papers on metabolomics in physiological fluids and tissues from patients with uterine diseases. The search identified 484 records. Based on inclusion and exclusion criteria, 44 studies were included into the review. Relevant data were extracted following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) checklist and quality was assessed using the QUADOMICS tool. The selected metabolomics studies analysed plasma, serum, urine, peritoneal, endometrial, and cervico-vaginal fluid, ectopic/eutopic endometrium, and cervical tissue. In endometriosis, diagnostic models discriminated patients from healthy and infertile controls. In cervical cancer, diagnostic algorithms discriminated patients from controls, patients with good/bad prognosis, and with/without response to chemotherapy. In endometrial cancer, several models stratified patients from controls and recurrent from non-recurrent patients. Metabolomics is valuable for constructing diagnostic models. However, the majority of studies were in the discovery phase and require additional research to select reliable biomarkers for validation and translation into clinical practice. This review identifies bottlenecks that currently prevent the translation of these findings into clinical practice.
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Publication type
Article: Journal article
Document type
Review
Keywords
Adenomyosis ; Algorithms ; Biomarker ; Biomarker Discovery ; Cervical Cancer ; Endometrial Cancer ; Endometriosis ; Leiomyoma ; Omics ; Uterine Fibroids; Cervical Intraepithelial Neoplasia; Quality-of-life; Endometrial Cancer; Ovarian Endometriosis; Current Management; Mass-spectrometry; Peritoneal-fluid; Biomarkers; Adenomyosis; Plasma
ISSN (print) / ISBN
2075-4426
e-ISSN
2075-4426
Journal
Journal of Personalized Medicine
Quellenangaben
Volume: 10,
Issue: 4,
Article Number: 294
Publisher
MDPI
Publishing Place
Basel, Switzerland
Non-patent literature
Publications
Reviewing status
Peer reviewed
Institute(s)
Molekulare Endokrinologie und Metabolismus (MEM)
Grants
DAAD
Federal Ministry for Education and Research (BMBF), Germany
ERA-NET Transcan2 BioEndoCar project - Ministry of Education, Science and Sport Slovenia
Slovenian Research Agency
Federal Ministry for Education and Research (BMBF), Germany
ERA-NET Transcan2 BioEndoCar project - Ministry of Education, Science and Sport Slovenia
Slovenian Research Agency