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January 18, 2026Carcinogenesis0 citations

Plasma proteomic profiling identified prognostic indicators with therapeutic potential for colorectal cancer

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XXXuan XieJZJiahao ZhouQWQingbin Wu

Key Points

  • To identify plasma proteins associated with overall survival and disease-free survival in colorectal cancer patients.
  • Measured plasma levels of 367 proteins using proximity extension assay in CRC patients.
  • Conducted LASSO penalized Cox regression to identify protein associations with survival.
  • Validated multi-protein signature in external UK Biobank cohort.
  • Employed Mendelian Randomization to investigate genetically determined protein concentrations and survival outcomes.
  • Analyzed protein interactions and therapeutic potential through various databases.
  • Identified five proteins associated with overall survival and eleven with disease-free survival.
  • Multi-protein signature showed c-index of 0.784 for OS in WCH cohort and 0.616 in UKB cohort.
  • Found significant association between PD-L1 levels and overall survival (HR=1.53, p=0.043).
  • Locally observed high PD-L1 expression primarily in epithelial and myeloid cells of CRC tissue.
  • Evaluation indicated PD-L1 as a potential therapeutic target.

Abstract

Abstract Plasma proteins have been reported as predictors and potential targets for reducing colorectal cancer (CRC) risk. However, their potential roles in CRC prognosis remain unexplored. We measured plasma levels of 367 neuro-related proteins in CRC patients from the West China Hospital (WCH) cohort (N=150, median follow-up=46.72 months) via proximity extension assay. The least absolute shrinkage and selection operator (LASSO) penalized Cox regression identified five overall survival (OS) - and eleven disease-free survival (DFS) - associated proteins, and the multi-protein signature for OS prediction was then validated in the UK Biobank (UKB) cohort (N=1,133). To overcome possible effects from confounders, we then employed Mendelian Randomization analysis leveraging protein quantitative trait loci (pQTLs) to investigate associations between genetically determined protein concentration and OS and cancer-specific survival (CSS) of CRC in the UKB. We found that multi-protein signature developed in the WCH cohort (c-index=0.784, 95% CI=0.713-0.855) showed significant discriminative ability in the external UKB cohort (c-index=0.616, 95%CI=0.559-0.673). A significant association between genetically determined PD-L1 and OS (p=0.043, HR=1.53, 95%CI=1.01-2.29) was observed, although we did not find strong evidence for colocalization. Additionally, single-cell and spatial transcriptome analyses illustrated PD-L1 expression localized predominantly to epithelial cells and immune cells (especially myeloid cells) in CRC tissue. The potential interactions of identified proteins were evaluated in the STRING database. Druggability evaluation also supported PD-L1 as a potential therapeutic target for CRC. Taken together, this study established multi-protein signatures for CRC prognosis and identified plasma PD-L1 as a possible biomarker and therapeutic target.

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Cite This Study

Xie et al. (2026) studied this question.

synapsesocial.com/papers/696c79cde45ebfc9113cd481https://doi.org/10.1093/carcin/bgag001
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