ArticleEMBO molecular medicine2024
Identification and validation of serum metabolite biomarkers for endometrial cancer diagnosis.
Article in EMBO molecular medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 24 citations in OpenAlex.
- Artificial intelligence-driven integration of multi-biofluid omics and clinical phenotype enables stratification of endometrial cancer.Cell reports. Medicine · 2026Article
- Development of an interpretable machine learning model for lymphovascular space invasion prediction in patients with endometrioid endometrial carcinoma: A prospective study.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2026Article
- Beyond Feature Selection: Interpretable Machine Learning for Mechanistic Insights in Metabolomics.Biology · 2026Review
- Metabolomic Insights into Head and Neck Cancer: Recent Advances and Future Directions.Current oncology (Toronto, Ont.) · 2026Review
- The Model Related to Hypoxia and Endoplasmic Reticulum Stress Predicting Prognosis and Immunotherapy Response in Uterine Corpus Endometrial Cancer.Reproductive sciences (Thousand Oaks, Calif.) · 2026Article
- Primary tissue metabolic fingerprinting for efficient diagnosis of lymph node metastasis and metabolic reprogramming mechanisms in colorectal cancer.Materials today. Bio · 2026Article
- The prognostic value of calcium channel blockers usage for overall survival and recurrence-free survival in patients with endometrial cancer.European journal of medical research · 2025Article
- Machine learning for identifying liver and pancreas cancers through comprehensive serum glycopeptide spectra analysis: a case-control study.Molecular oncology · 2025Article
- Metabolic signatures for gastric cancer diagnosis and mechanistic insights: a multicenter study.EMBO molecular medicine · 2025Article
- Assessment of the PD-1/PD-L1/PD-L2 Immune Checkpoints Pathway in Endometrial Cancer and Its Clinical Significance.Cancers · 2025Article
- Metabolomics Analysis-Based Machine Learning for Endometrial Cancer Diagnosis: Integration of Biomarker Discovery and Explainable Artificial Intelligence.Journal of clinical practice and research · 2025Article
- Serum metabolic patterns reveal the diagnostic and prognostic role of alanine abnormality in ocular adnexal lymphoma.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Article
- Single Test-Based Diagnosis and Subtyping of Pulmonary Hypertension Caused by Fibrosing Mediastinitis Using Plasma Metabolic Analysis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Article
- A Comparative Study of Network-Based Machine Learning Approaches for Binary Classification in Metabolomics.Metabolites · 2025Article
- Hybrid ResNet-ViT Framework for Endometrial Lesion Analysis: A Comparative Study of MRI and CT in Endometrial Cancer Classification.International journal of women's health · 2025Article
- Article
- Integrated machine learning identifies a cellular senescence-related prognostic model to improve outcomes in uterine corpus endometrial carcinoma.Frontiers in immunology · 2024Article
Corrections and comments
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Authors and funding
11 authors at 2 institutions in 1 country.
Funding
Abstract
Endometrial cancer (EC) stands as the most prevalent gynecological tumor in women worldwide. Notably, differentiation diagnosis of abnormity detected by ultrasound findings (e.g., thickened endometrium or mass in the uterine cavity) is essential and remains challenging in clinical practice. Herein, we identified a metabolic biomarker panel for differentiation diagnosis of EC using machine learning of high-performance serum metabolic fingerprints (SMFs) and validated the biological function. We first recorded the high-performance SMFs of 191 EC and 204 Non-EC subjects via particle-enhanced laser desorption/ionization mass spectrometry (PELDI-MS). Then, we achieved an area-under-the-curve (AUC) of 0.957-0.968 for EC diagnosis through machine learning of high-performance SMFs, outperforming the clinical biomarker of cancer antigen 125 (CA-125, AUC of 0.610-0.684, p < 0.05). Finally, we identified a metabolic biomarker panel of glutamine, glucose, and cholesterol linoleate with an AUC of 0.901-0.902 and validated the biological function in vitro. Therefore, our work would facilitate the development of novel diagnostic biomarkers for EC in clinics.
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Registered trials
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.