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了解卵巢癌的蛋白质组学概况:发现疾病生物标志物之路。

Comprehending the Proteomic Landscape of Ovarian Cancer: A Road to the Discovery of Disease Biomarkers.

作者信息

Mukherjee Shuvolina, Sundfeldt Karin, Borrebaeck Carl A K, Jakobsson Magnus E

机构信息

Department of Immunotechnology, Lund University, 22100 Lund, Sweden.

Sahlgrenska Center for Cancer Research, Department of Obstetrics and Gynecology, Sahlgrenska Academy, University of Gothenburg, 40530 Gothenburg, Sweden.

出版信息

Proteomes. 2021 May 25;9(2):25. doi: 10.3390/proteomes9020025.

Abstract

Despite recent technological advancements allowing the characterization of cancers at a molecular level along with biomarkers for cancer diagnosis, the management of ovarian cancers (OC) remains challenging. Proteins assume functions encoded by the genome and the complete set of proteins, termed the proteome, reflects the health state. Comprehending the circulatory proteomic profiles for OC subtypes, therefore, has the potential to reveal biomarkers with clinical utility concerning early diagnosis or to predict response to specific therapies. Furthermore, characterization of the proteomic landscape of tumor-derived tissue, cell lines, and PDX models has led to the molecular stratification of patient groups, with implications for personalized therapy and management of drug resistance. Here, we review single and multiple marker panels that have been identified through proteomic investigations of patient sera, effusions, and other biospecimens. We discuss their clinical utility and implementation into clinical practice.

摘要

尽管最近技术进步使得能够在分子水平上对癌症进行表征以及鉴定用于癌症诊断的生物标志物,但卵巢癌(OC)的管理仍然具有挑战性。蛋白质承担着由基因组编码的功能,而完整的蛋白质组反映了健康状况。因此,了解OC亚型的循环蛋白质组图谱有可能揭示具有早期诊断临床效用的生物标志物,或预测对特定疗法的反应。此外,对肿瘤来源组织、细胞系和PDX模型的蛋白质组格局进行表征已导致患者群体的分子分层,这对个性化治疗和耐药性管理具有重要意义。在此,我们综述了通过对患者血清、积液和其他生物样本进行蛋白质组学研究而鉴定出的单一和多个标志物组合。我们讨论了它们的临床效用以及在临床实践中的应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ced7/8163166/dbcdd784f6b4/proteomes-09-00025-g001.jpg

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