Multiplexed quantitative proteomics in prostate cancer biomarker development.

Advances in cancer research Pub Date : 2024-01-01 Epub Date: 2024-04-25 DOI:10.1016/bs.acr.2024.04.003
Yuqian Gao, Hyeyoon Kim, Reta Birhanu Kitata, Tai-Tu Lin, Adam C Swensen, Tujin Shi, Tao Liu
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Abstract

Prostate cancer (PCa) is the most common non-skin cancer among men in the United States. However, the widely used protein biomarker in PCa, prostate-specific antigen (PSA), while useful for initial detection, its use alone cannot detect aggressive PCa and can lead to overtreatment. This chapter provides an overview of PCa protein biomarker development. It reviews the state-of-the-art liquid chromatography-mass spectrometry-based proteomics technologies for PCa biomarker development, such as enhancing the detection sensitivity of low-abundance proteins through antibody-based or antibody-independent protein/peptide enrichment, enriching post-translational modifications such as glycosylation as well as information-rich extracellular vesicles, and increasing accuracy and throughput using advanced data acquisition methodologies. This chapter also summarizes recent PCa biomarker validation studies that applied those techniques in diverse specimen types, including cell lines, tissues, proximal fluids, urine, and blood, developing novel protein biomarkers for various clinical applications, including early detection and diagnosis, prognosis, and therapeutic intervention of PCa.

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前列腺癌生物标记物开发中的多重定量蛋白质组学。
前列腺癌(PCa)是美国男性最常见的非皮肤癌。然而,PCa 中广泛使用的蛋白质生物标志物--前列腺特异性抗原 (PSA) 虽然有助于初步检测,但仅靠它无法检测出侵袭性 PCa,并可能导致过度治疗。本章概述了 PCa 蛋白生物标记物的开发情况。它回顾了用于 PCa 生物标记物开发的基于液相色谱-质谱联用技术的最先进蛋白质组学技术,例如通过基于抗体或不依赖抗体的蛋白质/肽富集提高低丰度蛋白质的检测灵敏度,富集糖基化等翻译后修饰以及信息丰富的细胞外囊泡,以及利用先进的数据采集方法提高准确性和通量。本章还总结了最近的 PCa 生物标记物验证研究,这些研究将这些技术应用于不同类型的标本,包括细胞系、组织、近端体液、尿液和血液,为各种临床应用开发了新型蛋白质生物标记物,包括 PCa 的早期检测和诊断、预后和治疗干预。
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Advancements in computer vision and pathology: Unraveling the potential of artificial intelligence for precision diagnosis and beyond. Deciphering the genetic and epigenetic architecture of prostate cancer. Epigenetic regulation of androgen dependent and independent prostate cancer. Molecular landscape of prostate cancer bone metastasis. Multiplexed quantitative proteomics in prostate cancer biomarker development.
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