<p>Endometrial cancer (EC), a prevalent and intricate disease, is associated with a poor prognosis among gynecological malignancies. Its incidence rising globally underscores the urgent need for biomarkers detection in both research and clinical settings. Over the past decade, we’ve witnessed rapid advancements in biological methodologies and techniques. A multitude of omics technologies, encompassing genomic/transcriptomic sequencing and proteomic/metabolomic mass spectrometry, have been extensively employed to analyze both tissue and liquid samples derived from EC patients. The integration of multi-omics data has not only broadened our understanding of the disease but also unearthed valuable biomarkers specific to EC. This review encapsulates the recent progress and future prospects in the application of multi-omics technologies in EC research, emphasizing the potential of multi-omics in uncovering novel biomarkers and enhancing clinical assessments.</p>

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Present progress in biomarker discovery of endometrial cancer by multi-omics approaches

  • Yuhao An,
  • Quanxin Feng,
  • Li Jia,
  • Xinrui Sha,
  • Tuanjie Zhang,
  • Linlin Lu,
  • Rui Wang,
  • Bin Bai

摘要

Endometrial cancer (EC), a prevalent and intricate disease, is associated with a poor prognosis among gynecological malignancies. Its incidence rising globally underscores the urgent need for biomarkers detection in both research and clinical settings. Over the past decade, we’ve witnessed rapid advancements in biological methodologies and techniques. A multitude of omics technologies, encompassing genomic/transcriptomic sequencing and proteomic/metabolomic mass spectrometry, have been extensively employed to analyze both tissue and liquid samples derived from EC patients. The integration of multi-omics data has not only broadened our understanding of the disease but also unearthed valuable biomarkers specific to EC. This review encapsulates the recent progress and future prospects in the application of multi-omics technologies in EC research, emphasizing the potential of multi-omics in uncovering novel biomarkers and enhancing clinical assessments.