{"title":"Circulating Proteomic Signatures for Multicancer Early Detection: Cross-Platform Evidence for a Matrix–Immune–Secretory Biomarker Axis","authors":"Vivek Singh, Vipin Kumar, Vidushi Singh, Rashmi Kushwaha","doi":"10.1021/acs.jproteome.6c00526","DOIUrl":null,"url":null,"abstract":"<p>Blood-based\r\nproteomics may complement existing MCED approaches\r\nby capturing tumor-secreted proteins and systemic host responses.\r\nWe reviewed prospective and multicancer studies published from 2020\r\nto 2025 that used Olink, SomaScan, or mass spectrometry and compared\r\nevidence from case–control and prospective designs. Candidate\r\nproteins were classified as established or novel and evaluated using\r\npathway and cancer-hallmark enrichment analyses, GEPIA3.0 Cox analyses,\r\nTCGA Kaplan–Meier survival curves, and TPCPA/RPPA protein abundance\r\ndata. Across platforms, established markers, including CEACAM5, WFDC2/HE4,\r\nand GDF15 were complemented by novel candidates converging on a matrix–immune–secretory\r\naxis. This axis included MMP12 and ADAM8, CD74 and CXCL13, TGFB1,\r\nand CDCP1. Secretory and matrix-associated candidates were linked\r\nto poorer survival in several epithelial cancers, whereas immune-associated\r\nproteins showed context-dependent effects. Tumor-type-specific protein\r\nelevation supported their detectability, and interaction analysis\r\norganized the candidates into biologically coherent modules. These\r\nfindings support an MCED framework combining higher-risk secretory\r\nand matrix markers with immune-context indicators to improve sensitivity\r\nand biological interpretation. Prospective validation and down-selection\r\ninto scalable targeted assays are required before population-level\r\napplication.</p>","PeriodicalId":48,"journal":{"name":"Journal of Proteome Research","volume":"25 10","pages":"5025–5038"},"PeriodicalIF":3.8000,"publicationDate":"2026-10-02","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.6c00526","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/8/29 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
Blood-based
proteomics may complement existing MCED approaches
by capturing tumor-secreted proteins and systemic host responses.
We reviewed prospective and multicancer studies published from 2020
to 2025 that used Olink, SomaScan, or mass spectrometry and compared
evidence from case–control and prospective designs. Candidate
proteins were classified as established or novel and evaluated using
pathway and cancer-hallmark enrichment analyses, GEPIA3.0 Cox analyses,
TCGA Kaplan–Meier survival curves, and TPCPA/RPPA protein abundance
data. Across platforms, established markers, including CEACAM5, WFDC2/HE4,
and GDF15 were complemented by novel candidates converging on a matrix–immune–secretory
axis. This axis included MMP12 and ADAM8, CD74 and CXCL13, TGFB1,
and CDCP1. Secretory and matrix-associated candidates were linked
to poorer survival in several epithelial cancers, whereas immune-associated
proteins showed context-dependent effects. Tumor-type-specific protein
elevation supported their detectability, and interaction analysis
organized the candidates into biologically coherent modules. These
findings support an MCED framework combining higher-risk secretory
and matrix markers with immune-context indicators to improve sensitivity
and biological interpretation. Prospective validation and down-selection
into scalable targeted assays are required before population-level
application.
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".