Cervical mucus can be used for metabolite screening in cervical cancer
- Rie Kawasaki 1,2, Iwao Kukimoto 3, Tetsuya Tsukamoto 4, Eiji Nishio 2, Aya Iwata 1,2, Takuma Fujii 1,2,5
- Rie Kawasaki 1,2, Iwao Kukimoto 3, Tetsuya Tsukamoto 4
- 1Department of Gynecology, School of Medicine, Fujita Health University, Toyoake, Japan.
- 2Department of Obstetrics and Gynecology, School of Medicine, Fujita Health University, Toyoake, Japan.
- 3Pathogen Genomics Center, National Institute of Infectious Diseases, Tokyo, Japan.
- 4Department of Pathology, School of Medicine, Fujita Health University, Toyoake, Japan.
- 5Fujita Health University Okazaki Medical Center, Okazaki, Japan.
- 0Department of Gynecology, School of Medicine, Fujita Health University, Toyoake, Japan.
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View abstract on PubMed
Summary
This summary is machine-generated.Metabolomic analysis of cervical mucus identified new biomarkers for cervical cancer and precancerous lesions. This approach may improve early detection and understanding of cervical neoplasia development.
Area Of Science
- Biochemistry
- Oncology
- Metabolomics
Background
- Cervical cancer affects approximately 660,000 women annually.
- Current screening methods like cytology and HPV testing have limitations.
- There is a need for effective ancillary biomarkers for improved triage.
Purpose Of The Study
- To evaluate metabolomic analysis of cervical mucus for identifying biomarkers of cervical intraepithelial neoplasia (CIN) and cervical cancer.
- To explore metabolic pathways associated with cervical neoplasia.
Main Methods
- Case-control study with 181 CIN, 69 squamous cell carcinoma (SCC) patients, and 48 healthy controls.
- Metabolomic analysis using ultra-high-performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS).
- Univariate, multivariate, and receiver operating characteristic (ROC) analyses for biomarker identification.
Main Results
- Five metabolites showed high discriminatory power for SCC: oxidized glutathione (GSSG), malic acid, kynurenine, GSSG/glutathione (GSH), and kynurenine/tryptophan.
- Malic acid was the best marker for detecting CIN2 or worse.
- Metabolomic analysis identified eight pathways linked to cervical neoplasia, including the tricarboxylic acid cycle and altered arginine metabolism.
Conclusions
- Metabolic analysis of cervical mucus can identify promising ancillary biomarkers for cervical cancer and precancer.
- These findings enhance understanding of the pathophysiological mechanisms driving cervical neoplasia.
- Further research may lead to improved diagnostic and prognostic tools for cervical cancer.
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