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引用次数: 0
摘要
细胞外囊泡(EVs)是由各种类型细胞释放到细胞外微环境中的膜包围囊泡。尽管EVs的大小、生物功能和成分各不相同,但它们在癌症进展中的重要性以及EV分子物种作为新型癌症生物标记物的潜在用途已变得越来越明显。癌细胞会主动向周围组织释放 EVs,这些 EVs 在癌症进展和转移过程中发挥着重要作用,包括侵袭和免疫调节。癌细胞释放的 EV 通常被选为寻找癌症生物标志物的入口。在这篇综述中,我们主要关注乳腺癌 EV 蛋白成分的分子谱分析,强调基于质谱(MS)的蛋白质组学方法。为了进一步研究 EVs 作为乳腺癌生物标志物来源的潜在用途,我们讨论了将这些蛋白质作为候选预测标志物的用途。此外,我们还总结了作为乳腺癌潜在治疗靶点的 EVs 的主要特征,并提供了它们在乳腺癌发展和恶化过程中的重要影响。本综述所提供的信息可能有助于人们了解 EV 生物学的最新进展及其作为新的非侵入性生物标记物的潜在作用,以及新出现的治疗机会和相关挑战。
Extracellular vesicle proteins as breast cancer biomarkers: Mass spectrometry-based analysis
Extracellular vesicles (EVs) are membrane-surrounded vesicles released by various cell types into the extracellular microenvironment. Although EVs vary in size, biological function, and components, their importance in cancer progression and the potential use of EV molecular species to serve as novel cancer biomarkers have become increasingly evident. Cancer cells actively release EVs into surrounding tissues, which play vital roles in cancer progression and metastasis, including invasion and immune modulation. EVs released by cancer cells are usually chosen as a gateway in the search for biomarkers for cancer. In this review, we mainly focused on molecular profiling of EV protein constituents from breast cancer, emphasizing mass spectrometry (MS)-based proteomic approaches. To further investigate the potential use of EVs as a source of breast cancer biomarkers, we have discussed the use of these proteins as predictive marker candidates. Besides, we have also summarized the key characteristics of EVs as potential therapeutic targets in breast cancer and provided significant information on their implications in breast cancer development and progression. Information provided in this review may help understand the recent progress in understanding EV biology and their potential role as new noninvasive biomarkers as well as emerging therapeutic opportunities and associated challenges.
期刊介绍:
PROTEOMICS is the premier international source for information on all aspects of applications and technologies, including software, in proteomics and other "omics". The journal includes but is not limited to proteomics, genomics, transcriptomics, metabolomics and lipidomics, and systems biology approaches. Papers describing novel applications of proteomics and integration of multi-omics data and approaches are especially welcome.