使用2000复合免疫蛋白组学筛选确定癌前结直肠癌的高精度粪便生物标志物。

IF 5.5 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Kamala Vanarsa, Jessica Castillo, Hao Li, Kala T Pham, Maria Akter, Sravya Gude, Kyung Hyun Lee, Claudia Pedroza, Robert Bresalier, Nicholas Chia, Chandra Mohan
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引用次数: 0

摘要

背景:考虑到与结直肠癌相关的发病率和死亡率,新的生物标志物显然是有必要的,特别是用于早期检测方法:利用基于抗体的2000种蛋白质筛选来识别与健康对照(hc)相比,结直肠癌患者的粪便蛋白升高。从两个不同种族的结直肠癌患者、晚期腺瘤患者和健康对照者组成的三个独立队列中选择了37个主要候选者进行ELISA验证。结果:在2000个蛋白中,116个蛋白在结直肠癌粪便中差异表达,其中45个蛋白升高2倍或更高;其中37种蛋白在3个独立的患者队列中进行ELISA验证。粪便MMP-8、MMP-9、血红蛋白、PGRP-S、触珠蛋白和纤维蛋白原是区分结直肠癌与健康对照的最具歧视性的指标(AUC: 0.91-0.95),在不同的人群和种族中,其中一些指标在晚期结直肠癌中明显更高。粪便纤维蛋白原、MMP-9、血红蛋白、MMP-8和PGRP-S是区分晚期腺瘤和HC准确率最高的5种粪便蛋白,其中粪便纤维蛋白原的诊断准确率最高,为0.86。功能途径分析显示,与HC相比,CRC患者中与抗氧化活性、整合素/受体结合、细胞因子、凝血和脂蛋白生物合成相关的途径明显过多。核因子IC (NFIC)和IKZF2被确定为CRC中过度代表的分子级联的关键调节因子。结论:粪便纤维蛋白原、MMP-8、MMP-9、PGRP-S、Haptoglobin和髓过氧化物酶是鉴别结直肠癌/晚期腺瘤/健康粪便的有希望的生物标志物,符合或优于目前的标准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High accuracy stool biomarkers of pre-cancerous colorectal cancer identified using a 2000-plex immunoproteomic screen.

Background: Given the morbidity and mortality associated with colorectal cancer, novel biomarkers are clearly warranted, especially for early detection METHOD: An antibody-based screen of 2000 proteins was utilized to identify stool proteins that were elevated in patients with CRC, compared to healthy controls (HCs). 37 lead candidates were selected for ELISA validation in three independent cohorts comprised of CRC patients, advanced adenoma patients, and healthy controls, drawn from two different ethnicities.

Results: Of the 2000 proteins interrogated, 116 were differentially expressed in CRC stool, with 45 being elevated at 2-fold or higher; 37 of these proteins were selected for ELISA validation in 3 independent patient cohorts. Stool MMP-8, MMP-9, Hemoglobin, PGRP-S, Haptoglobin, and Fibrinogen emerged as being most discriminatory for distinguishing CRC from healthy controls (AUC: 0.91-0.95), across cohorts and ethnicities, with several of these being significantly higher in more advanced stages of CRC. Stool Fibrinogen, MMP-9, Hemoglobin, MMP-8, and PGRP-S were the top 5 stool proteins with the highest accuracy for distinguishing advanced adenoma from HC, with stool Fibrinogen topping the list with a diagnostic accuracy of 0.86. Functional pathway analysis revealed a significant over-representation of pathways related to anti-oxidant activity, integrin/receptor binding, cytokines, blood coagulation, and lipoprotein biosynthesis in patients with CRC compared to HC. Nuclear Factor IC (NFIC) and IKZF2 were identified as key regulators of the molecular cascades over-represented in CRC.

Conclusion: Stool Fibrinogen, MMP-8, MMP-9, PGRP-S, Haptoglobin, and Myeloperoxidase emerge as promising biomarkers for distinguishing CRC/advanced adenomas/healthy stools, meeting or outperforming current yardsticks.

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来源期刊
Molecular & Cellular Proteomics
Molecular & Cellular Proteomics 生物-生化研究方法
CiteScore
11.50
自引率
4.30%
发文量
131
审稿时长
84 days
期刊介绍: The mission of MCP is to foster the development and applications of proteomics in both basic and translational research. MCP will publish manuscripts that report significant new biological or clinical discoveries underpinned by proteomic observations across all kingdoms of life. Manuscripts must define the biological roles played by the proteins investigated or their mechanisms of action. The journal also emphasizes articles that describe innovative new computational methods and technological advancements that will enable future discoveries. Manuscripts describing such approaches do not have to include a solution to a biological problem, but must demonstrate that the technology works as described, is reproducible and is appropriate to uncover yet unknown protein/proteome function or properties using relevant model systems or publicly available data. Scope: -Fundamental studies in biology, including integrative "omics" studies, that provide mechanistic insights -Novel experimental and computational technologies -Proteogenomic data integration and analysis that enable greater understanding of physiology and disease processes -Pathway and network analyses of signaling that focus on the roles of post-translational modifications -Studies of proteome dynamics and quality controls, and their roles in disease -Studies of evolutionary processes effecting proteome dynamics, quality and regulation -Chemical proteomics, including mechanisms of drug action -Proteomics of the immune system and antigen presentation/recognition -Microbiome proteomics, host-microbe and host-pathogen interactions, and their roles in health and disease -Clinical and translational studies of human diseases -Metabolomics to understand functional connections between genes, proteins and phenotypes
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