Abstract 7682: Integrative Blood Proteomics Reveals the HuBP Atlas of over 10,000 Proteins Informing Human Physiology and Disease
Rattachement africain : us. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
Abstract Blood provides a rich and accessible source of clinical information, yet no centralized resource systematically documents which proteins are detectable across blood sample types, analytical workflows, and disease states. To address these needs, we developed the Human Blood Proteome (HuBP) database that links protein detectability, abundance, and reproducibility across analytical workflows, sample types, and disease contexts.Using data-independent acquisition, we profiled healthy plasma with complementary workflows, including direct analysis, high-abundance protein depletion, low-abundance protein enrichment, and extracellular vesicle enrichment and identified 9,965 proteins in total. HuBP enables users to query protein detectability across methods and provides standardized performance metrics and detailed standard operating procedures (SOPs) to support reproducibility and cross-laboratory implementation.To characterize disease-associated alterations, we further analyzed 140 pancreatic ductal adenocarcinoma (PDAC), 111 clear cell renal cell carcinoma (ccRCC), and 82 lung adenocarcinoma (LUAD) whole-blood samples, identifying 8,002, 8,006, and 8,009 proteins, respectively. Across these cancers, 8,021 proteins were detected, including 498 proteins absent in healthy controls, highlighting disease-specific blood proteomic signatures.In total, HuBP assembles 10,463 nonredundant blood proteins, representing the most comprehensive blood proteome resource to date. By providing an integrated and quantitative atlas across workflows, sample types, and disease contexts, HuBP offers a valuable platform for optimizing experimental designs in both large-scale blood proteomics studies and targeted analyses of disease-specific proteins, ultimately supporting the discovery of non-invasive biomarkers and the advancement of precision medicine. Citation Format: Zhenyu Sun, Tung-Shing M. Lih, Yuanyu Huang, Yingwei Hu, Yuefan Wang, Hui Zhang. Integrative Blood Proteomics Reveals the HuBP Atlas of over 10,000 Proteins Informing Human Physiology and Disease [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 7682.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Abstract 7682: Integrative Blood Proteomics Reveals the HuBP Atlas of over 10,000 Proteins Informing Human Physiology and Disease
- Date Crossref
- 03/04/2026
- Éditeur
- American Association for Cancer Research (AACR)
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Les institutions déclarées
Une affiliation ne permet pas de déduire la nationalité d’un auteur.