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多组学方法在子宫内膜癌生物标志物发现中的研究进展

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

作者信息

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

机构信息

Pingshan Translational Medicine Center, Shenzhen Bay Laboratory, Shenzhen, Guangdong, 518020, China.

Department of Gastrointestinal Surgery, Xijing Hospital of Digestive Diseases, Xijing Hospital, Fourth Military Medical University, Xi'an, Shanxi, 710032, China.

出版信息

Clin Proteomics. 2025 Apr 26;22(1):15. doi: 10.1186/s12014-025-09528-6.

Abstract

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.

摘要

子宫内膜癌(EC)是一种常见且复杂的疾病,在妇科恶性肿瘤中预后较差。其在全球范围内的发病率不断上升,凸显了在研究和临床环境中检测生物标志物的迫切需求。在过去十年中,我们见证了生物学方法和技术的快速发展。多种组学技术,包括基因组/转录组测序和蛋白质组/代谢组质谱分析,已被广泛用于分析来自EC患者的组织和液体样本。多组学数据的整合不仅拓宽了我们对该疾病的理解,还发现了特定于EC的有价值的生物标志物。本综述总结了多组学技术在EC研究中的最新进展和未来前景,强调了多组学在发现新型生物标志物和加强临床评估方面的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/254a/12032760/b5868e2242e8/12014_2025_9528_Fig1_HTML.jpg

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