Kamala Vanarsa, Jessica Castillo, Hao Li, Kala T Pham, Maria Akter, Sravya Gude, Kyung Hyun Lee, Claudia Pedroza, Robert Bresalier, Nicholas Chia, Chandra Mohan
{"title":"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。","authors":"Kamala Vanarsa, Jessica Castillo, Hao Li, Kala T Pham, Maria Akter, Sravya Gude, Kyung Hyun Lee, Claudia Pedroza, Robert Bresalier, Nicholas Chia, Chandra Mohan","doi":"10.1016/j.mcpro.2025.101079","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":18712,"journal":{"name":"Molecular & Cellular Proteomics","volume":" ","pages":"101079"},"PeriodicalIF":5.5000,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"High accuracy stool biomarkers of pre-cancerous colorectal cancer identified using a 2000-plex immunoproteomic screen.\",\"authors\":\"Kamala Vanarsa, Jessica Castillo, Hao Li, Kala T Pham, Maria Akter, Sravya Gude, Kyung Hyun Lee, Claudia Pedroza, Robert Bresalier, Nicholas Chia, Chandra Mohan\",\"doi\":\"10.1016/j.mcpro.2025.101079\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>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.</p>\",\"PeriodicalId\":18712,\"journal\":{\"name\":\"Molecular & Cellular Proteomics\",\"volume\":\" \",\"pages\":\"101079\"},\"PeriodicalIF\":5.5000,\"publicationDate\":\"2025-09-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Molecular & Cellular Proteomics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1016/j.mcpro.2025.101079\",\"RegionNum\":2,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BIOCHEMICAL RESEARCH METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Molecular & Cellular Proteomics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.mcpro.2025.101079","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
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.
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