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多囊卵巢综合征女性子宫内膜癌风险的蛋白质组学生物标志物:系统评价和生物标志物数据库整合。

Proteomic biomarkers of endometrial cancer risk in women with polycystic ovary syndrome: a systematic review and biomarker database integration.

机构信息

Nottingham Medical School, University of Nottingham, Queen's Medical Centre Campus Nottingham University Hospital, Nottingham, UK.

出版信息

Gynecol Endocrinol. 2013 Jul;29(7):638-44. doi: 10.3109/09513590.2013.777416. Epub 2013 Mar 25.

Abstract

There is a need for research studies into the molecular mechanisms underpinning the link between polycystic ovary syndrome (PCOS) and endometrial cancer (EC) to facilitate screening and to encourage the development of novel strategies to prevent disease progression. The objective of this review was to identify proteomic biomarkers of EC risk in women with PCOS. All eligible published studies on proteomic biomarkers for EC identified through the literature were evaluated. Proteomic biomarkers for EC were then integrated with an updated previously published database of all proteomic biomarkers identified so far in PCOS women. Nine protein biomarkers were similarly either under or over expressed in women with EC and PCOS in various tissues. These include transgelin, pyruvate kinase M1/M2, gelsolin-like capping protein (macrophage capping protein), glutathione S-transferase P, leucine aminopeptidase (cytosol aminopeptidase), peptidyl-prolyl cis-transisomerase, cyclophilin A, complement component C4A and manganese-superoxide dismutase. If validated, these biomarkers may provide a useful framework on which the knowledge base in this area could be developed and will facilitate future mathematical modelling to enhance screening and prevention of EC in women with PCOS who have been shown to be at increased risk.

摘要

需要研究多囊卵巢综合征(PCOS)和子宫内膜癌(EC)之间关联的分子机制,以促进筛查,并鼓励开发预防疾病进展的新策略。本综述的目的是确定 PCOS 女性中 EC 风险的蛋白质组生物标志物。评估了通过文献确定的与 EC 相关的蛋白质组生物标志物的所有合格已发表研究。然后将 EC 的蛋白质组生物标志物与迄今为止在 PCOS 女性中发现的所有蛋白质组生物标志物的更新的已发表数据库整合。在不同组织中,有 9 种蛋白质生物标志物在患有 EC 和 PCOS 的女性中表达下调或上调。这些包括转谷氨酰胺酶、丙酮酸激酶 M1/M2、凝胶蛋白样加帽蛋白(巨噬细胞加帽蛋白)、谷胱甘肽 S-转移酶 P、亮氨酸氨肽酶(胞质溶胶氨肽酶)、肽基脯氨酰顺反异构酶、亲环素 A、补体成分 C4A 和锰超氧化物歧化酶。如果得到验证,这些生物标志物可能为该领域的知识库提供一个有用的框架,并将促进未来的数学建模,以增强对已显示风险增加的 PCOS 女性的 EC 筛查和预防。

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