Exploring the protein signature of endometrial cancer: A comprehensive review through diverse samples and mass spectrometry-based proteomics

  • 0Department of Chemistry, Middle East Technical University (METU), 06800, Ankara, Turkiye.

Summary

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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.