Protein-residual ECM N-glycosylation delineates a composition-resolved myCAF-enriched stromal state in pancreatic ductal adenocarcinoma

Abstract Background Pancreatic ductal adenocarcinoma (PDAC) is embedded in a dense stromal microenvironment, but total extracellular matrix abundance alone does not define its molecular state. We tested whether extracellular matrix (ECM) N-glycosylation provides a post-translational readout of CAF-associated stromal biology beyond matched protein abundance. Methods We integrated peptide-level and site-level CPTAC-PDAC N-glycoproteomics from 135 PDAC tumors with matched proteomics, RNA expression, clinical covariates, external transcriptomic cohorts, and spatial transcriptomics; five adenosquamous tumors were retained for sensitivity analysis. ECM glycopeptide and glycosite features were residualized against matched protein abundance to generate protein-residual ECM N-glycosylation scores. Robustness analyses evaluated nonlinear residualization, detection-probability weighting, feature coverage, acquisition plex, and feature resampling, with additional analyses of CAF subtypes, glycan composition, spatial localization, and clinical context. Results Residual ECM N-glycoprotein scores were associated with conventional myCAF (adjusted beta = 0.426 and 0.425) and CAF/stroma phenotypes (beta = 0.304 and 0.312) after adjustment for proteome matrisome score, stromal fraction, and neoplastic cellularity. The signal was distributed across a candidate ECM glycoprotein program and remained stable under nonlinear residualization, detection-probability weighting, observation thresholds from 40 to 110 tumors, and random feature splitting; the corresponding candidate-gene RNA program localized to CAF-rich spatial niches. Composition-defined high-mannose glycoforms showed the strongest myCAF effects (beta = 0.552 and 0.549), and the candidate program was higher in GeoMx CAF than epithelial segments in all 20 patients (mean paired difference = 1.234, 95% bootstrap CI 1.054–1.389; p = 9.57 × 10 −5 ). Conclusions Protein-residual ECM N-glycosylation identifies a measurable, composition-resolved myCAF-associated stromal layer in PDAC and nominates high-mannose ECM glycoforms and recurrent ECM glycoproteins as potential translational candidates for glycosite-resolved experimental validation.

Authors

Institutions

Publication Details

Journal
Journal of Translational Medicine
Published
2026-09-11
DOI
https://doi.org/10.1186/s12967-026-08974-6
Primary Topic
Advanced Proteomics Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Protein-residual ECM N-glycosylation delineates a composition-resolved myCAF-enriched stromal state in pancreatic ductal adenocarcinoma

Yongliang Tang, Zuxiang Peng, Hongming Liu, Qiang Wei et al.
Journal of Translational Medicine
Advanced Proteomics Techniques and Applications
article

Protein-residual ECM N-glycosylation delineates a composition-resolved myCAF-enriched stromal state in pancreatic ductal adenocarcinoma

Yongliang Tang, Zuxiang Peng, Hongming Liu, Qiang Wei, Feng Yi, Zhengyan Li, Hanchen Wang
article en

Abstract

Abstract Background Pancreatic ductal adenocarcinoma (PDAC) is embedded in a dense stromal microenvironment, but total extracellular matrix abundance alone does not define its molecular state. We tested whether extracellular matrix (ECM) N-glycosylation provides a post-translational readout of CAF-associated stromal biology beyond matched protein abundance. Methods We integrated peptide-level and site-level CPTAC-PDAC N-glycoproteomics from 135 PDAC tumors with matched proteomics, RNA expression, clinical covariates, external transcriptomic cohorts, and spatial transcriptomics; five adenosquamous tumors were retained for sensitivity analysis. ECM glycopeptide and glycosite features were residualized against matched protein abundance to generate protein-residual ECM N-glycosylation scores. Robustness analyses evaluated nonlinear residualization, detection-probability weighting, feature coverage, acquisition plex, and feature resampling, with additional analyses of CAF subtypes, glycan composition, spatial localization, and clinical context. Results Residual ECM N-glycoprotein scores were associated with conventional myCAF (adjusted beta = 0.426 and 0.425) and CAF/stroma phenotypes (beta = 0.304 and 0.312) after adjustment for proteome matrisome score, stromal fraction, and neoplastic cellularity. The signal was distributed across a candidate ECM glycoprotein program and remained stable under nonlinear residualization, detection-probability weighting, observation thresholds from 40 to 110 tumors, and random feature splitting; the corresponding candidate-gene RNA program localized to CAF-rich spatial niches. Composition-defined high-mannose glycoforms showed the strongest myCAF effects (beta = 0.552 and 0.549), and the candidate program was higher in GeoMx CAF than epithelial segments in all 20 patients (mean paired difference = 1.234, 95% bootstrap CI 1.054–1.389; p = 9.57 × 10 −5 ). Conclusions Protein-residual ECM N-glycosylation identifies a measurable, composition-resolved myCAF-associated stromal layer in PDAC and nominates high-mannose ECM glycoforms and recurrent ECM glycoproteins as potential translational candidates for glycosite-resolved experimental validation.

Journal of Translational Medicine
Army Medical University (CN), Daping Hospital (CN), Bethune International Peace Hospital (CN)
Openalex Percentile: Top 21%
Advanced Proteomics Techniques and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.