基于蛋白质组学的细胞外小泡结直肠癌相关蛋白特征鉴定

IF 3.6 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Xiaoqing Ding*, , , Xuan Huang, , , Junfeng Jiang, , , Shuang Han, , , Yanjun Zhou, , , Zhonghu Bai*, , and , Fang Gong*, 
{"title":"基于蛋白质组学的细胞外小泡结直肠癌相关蛋白特征鉴定","authors":"Xiaoqing Ding*,&nbsp;, ,&nbsp;Xuan Huang,&nbsp;, ,&nbsp;Junfeng Jiang,&nbsp;, ,&nbsp;Shuang Han,&nbsp;, ,&nbsp;Yanjun Zhou,&nbsp;, ,&nbsp;Zhonghu Bai*,&nbsp;, and ,&nbsp;Fang Gong*,&nbsp;","doi":"10.1021/acs.jproteome.5c00509","DOIUrl":null,"url":null,"abstract":"<p >The clinical management of colorectal cancer (CRC) urgently requires more accurate serum protein biomarkers. While conventional proteomic approaches are hindered by the high abundance of resident blood proteins, this study utilized a highly sensitive four-dimensional label-free quantitative (4D-LFQ) proteomic strategy to analyze the protein cargo of small extracellular vesicles (sEVs). We purified sEVs via ultracentrifugation from pooled serum samples of 76 CRC patients and 40 healthy controls, alongside seven paired CRC tumors and adjacent normal tissues. A total of 1187 high-confidence proteins were identified in serum sEVs using 4D-LFQ analysis. Validation in an independent cohort using four-dimensional parallel reaction monitoring (4D-PRM) confirmed the significant elevation of six candidate proteins (ANXA11, ANXA5, CALR, KPNB1, OIT3, and OLFM4) in CRC sEVs. These candidates exhibited strong diagnostic performance (AUCs 0.769 – 0.869). Crucially, in early-stage CRC, the sEV candidate proteins were significantly elevated compared to controls (<i>p</i> &lt; 0.001), whereas conventional markers CEA and CA19-9 failed to discriminate (<i>p</i> &gt; 0.05). A logistic regression model combining the five available sEV proteins and two conventional markers demonstrated 78.26% sensitivity and 96.67% specificity for early detection (AUC = 0.961). Our findings nominate these sEV protein signatures as promising noninvasive biomarkers for CRC diagnosis.</p>","PeriodicalId":48,"journal":{"name":"Journal of Proteome Research","volume":"24 10","pages":"5127–5138"},"PeriodicalIF":3.6000,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Identification of Colorectal Cancer-Associated Protein Signatures in Small Extracellular Vesicles Based on Proteomics\",\"authors\":\"Xiaoqing Ding*,&nbsp;, ,&nbsp;Xuan Huang,&nbsp;, ,&nbsp;Junfeng Jiang,&nbsp;, ,&nbsp;Shuang Han,&nbsp;, ,&nbsp;Yanjun Zhou,&nbsp;, ,&nbsp;Zhonghu Bai*,&nbsp;, and ,&nbsp;Fang Gong*,&nbsp;\",\"doi\":\"10.1021/acs.jproteome.5c00509\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p >The clinical management of colorectal cancer (CRC) urgently requires more accurate serum protein biomarkers. While conventional proteomic approaches are hindered by the high abundance of resident blood proteins, this study utilized a highly sensitive four-dimensional label-free quantitative (4D-LFQ) proteomic strategy to analyze the protein cargo of small extracellular vesicles (sEVs). We purified sEVs via ultracentrifugation from pooled serum samples of 76 CRC patients and 40 healthy controls, alongside seven paired CRC tumors and adjacent normal tissues. A total of 1187 high-confidence proteins were identified in serum sEVs using 4D-LFQ analysis. Validation in an independent cohort using four-dimensional parallel reaction monitoring (4D-PRM) confirmed the significant elevation of six candidate proteins (ANXA11, ANXA5, CALR, KPNB1, OIT3, and OLFM4) in CRC sEVs. These candidates exhibited strong diagnostic performance (AUCs 0.769 – 0.869). Crucially, in early-stage CRC, the sEV candidate proteins were significantly elevated compared to controls (<i>p</i> &lt; 0.001), whereas conventional markers CEA and CA19-9 failed to discriminate (<i>p</i> &gt; 0.05). A logistic regression model combining the five available sEV proteins and two conventional markers demonstrated 78.26% sensitivity and 96.67% specificity for early detection (AUC = 0.961). Our findings nominate these sEV protein signatures as promising noninvasive biomarkers for CRC diagnosis.</p>\",\"PeriodicalId\":48,\"journal\":{\"name\":\"Journal of Proteome Research\",\"volume\":\"24 10\",\"pages\":\"5127–5138\"},\"PeriodicalIF\":3.6000,\"publicationDate\":\"2025-09-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Proteome Research\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://pubs.acs.org/doi/10.1021/acs.jproteome.5c00509\",\"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":"Journal of Proteome Research","FirstCategoryId":"99","ListUrlMain":"https://pubs.acs.org/doi/10.1021/acs.jproteome.5c00509","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}
引用次数: 0

摘要

结直肠癌(CRC)的临床治疗迫切需要更准确的血清蛋白生物标志物。虽然传统的蛋白质组学方法受到高丰度的驻留血液蛋白的阻碍,但本研究利用高度敏感的四维无标签定量(4D-LFQ)蛋白质组学策略来分析小细胞外囊泡(sev)的蛋白质cargo。我们从76名结直肠癌患者和40名健康对照者,以及7对结直肠癌肿瘤和邻近正常组织的血清样本中,通过超离心纯化了sev。通过4D-LFQ分析,共鉴定出1187个高置信度蛋白。在一项使用四维平行反应监测(4D-PRM)的独立队列验证中,证实了6种候选蛋白(ANXA11、ANXA5、CALR、KPNB1、OIT3和OLFM4)在CRC sev中的显著升高。这些候选者表现出较强的诊断性能(auc为0.769 ~ 0.869)。关键是,在早期结直肠癌中,sEV候选蛋白与对照组相比显著升高(p < 0.001),而传统标记物CEA和CA19-9无法区分(p < 0.05)。5种可用sEV蛋白与2种常规标记物的logistic回归模型早期检测灵敏度为78.26%,特异性为96.67% (AUC = 0.961)。我们的研究结果将这些sEV蛋白特征作为CRC诊断的有希望的非侵入性生物标志物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Identification of Colorectal Cancer-Associated Protein Signatures in Small Extracellular Vesicles Based on Proteomics

Identification of Colorectal Cancer-Associated Protein Signatures in Small Extracellular Vesicles Based on Proteomics

The clinical management of colorectal cancer (CRC) urgently requires more accurate serum protein biomarkers. While conventional proteomic approaches are hindered by the high abundance of resident blood proteins, this study utilized a highly sensitive four-dimensional label-free quantitative (4D-LFQ) proteomic strategy to analyze the protein cargo of small extracellular vesicles (sEVs). We purified sEVs via ultracentrifugation from pooled serum samples of 76 CRC patients and 40 healthy controls, alongside seven paired CRC tumors and adjacent normal tissues. A total of 1187 high-confidence proteins were identified in serum sEVs using 4D-LFQ analysis. Validation in an independent cohort using four-dimensional parallel reaction monitoring (4D-PRM) confirmed the significant elevation of six candidate proteins (ANXA11, ANXA5, CALR, KPNB1, OIT3, and OLFM4) in CRC sEVs. These candidates exhibited strong diagnostic performance (AUCs 0.769 – 0.869). Crucially, in early-stage CRC, the sEV candidate proteins were significantly elevated compared to controls (p < 0.001), whereas conventional markers CEA and CA19-9 failed to discriminate (p > 0.05). A logistic regression model combining the five available sEV proteins and two conventional markers demonstrated 78.26% sensitivity and 96.67% specificity for early detection (AUC = 0.961). Our findings nominate these sEV protein signatures as promising noninvasive biomarkers for CRC diagnosis.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Journal of Proteome Research
Journal of Proteome Research 生物-生化研究方法
CiteScore
9.00
自引率
4.50%
发文量
251
审稿时长
3 months
期刊介绍: Journal of Proteome Research publishes content encompassing all aspects of global protein analysis and function, including the dynamic aspects of genomics, spatio-temporal proteomics, metabonomics and metabolomics, clinical and agricultural proteomics, as well as advances in methodology including bioinformatics. The theme and emphasis is on a multidisciplinary approach to the life sciences through the synergy between the different types of "omics".
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信