Exploring the protein signature of endometrial cancer: A comprehensive review through diverse samples and mass spectrometry-based proteomics
- 1Department of Chemistry, Middle East Technical University (METU), 06800, Ankara, Turkiye.
- 2Reproductive Sciences & Advanced Bioinformatics Application & Research Center, Inonu University, 44280, Malatya, Turkiye; Department of Obstetrics and Gynecology, School of Medicine, Inonu University, 44280, Malatya, Turkiye.
- 3Department of Anatomy, Faculty of Medicine and Surgery, University of Malta, Msida, MSD2080, Malta.
- 4Department of Chemistry, Middle East Technical University (METU), 06800, Ankara, Turkiye; Cancer Systems Biology Laboratory (CanSyL), Middle East Technical University (METU), 06800, Ankara, Turkiye.
- 0Department of Chemistry, Middle East Technical University (METU), 06800, Ankara, Turkiye.
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Summary
This summary is machine-generated.Mass spectrometry-based proteomics aids in discovering protein biomarkers for endometrial cancer (EC). This review highlights advancements in techniques and sample types for improved early detection and patient management.
Area Of Science
- Oncology
- Proteomics
- Biomarker Discovery
Background
- Endometrial cancer (EC) incidence is rising globally, posing a significant health challenge.
- Protein biomarkers are crucial for early detection, risk stratification, and monitoring treatment response in EC.
- Mass spectrometry (MS)-based proteomics provides powerful tools for comprehensive protein analysis.
Purpose Of The Study
- To review recent advancements in MS-based proteomic biomarker discovery for endometrial cancer.
- To evaluate different sample types and MS-based techniques used in EC clinical studies.
- To emphasize the importance of biomarker discovery and clinical translation for improving EC outcomes.
Main Methods
- Focus on MS-based proteomics techniques including untargeted, targeted, SWATH-MS, and MS imaging.
- Analysis of various sample sources: blood, urine, vaginal fluids, and tissue.
- Review of studies focusing on biomarker discovery and validation phases.
Main Results
- MS-based proteomics offers robust analytical capabilities for understanding protein alterations in EC.
- Different sample types and MS techniques have been employed for biomarker identification.
- The review synthesizes current knowledge on proteomic approaches in EC research.
Conclusions
- MS-based proteomics is vital for identifying novel endometrial cancer biomarkers.
- Clinical translation of discovered biomarkers is essential for improving diagnostic and therapeutic strategies.
- This review provides a comprehensive overview to guide future research and clinical applications in EC proteomics.
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