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Glycoproteomics of the Extracellular Matrix: A Method for Intact Glycopeptide Analysis Using Mass Spectrometry
Published on: April 21, 2017
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Proteomic Heterogeneity of the Extracellular Matrix Identifies Histologic Subtype-Specific Fibroblast in Gastric
Hyun Jin Lee1, Yoonjin Kwak2, Yun Suk Na3
1Department of Bio and Brain Engineering, KAIST, Daejeon, Republic of Korea.
Molecular & Cellular Proteomics : MCP
|September 21, 2024
Summary
This study reveals distinct extracellular matrix (ECM) differences in gastric cancer (GC) subtypes, particularly poorly cohesive carcinoma-not otherwise specified (PCC-NOS). These ECM changes, linked to specific fibroblasts, indicate poor prognosis and potential biomarkers for GC patient stratification.
Area of Science:
- Oncology
- Proteomics
- Molecular Biology
Background:
- Gastric cancer (GC) is a heterogeneous disease with diverse histologic, genetic, and molecular features.
- The extracellular matrix (ECM) plays a critical role in tumor progression and patient outcomes.
- Understanding ECM heterogeneity in GC is crucial for developing targeted therapies and improving patient stratification.
Purpose of the Study:
- To investigate the association between ECM composition, histologic subtypes, and prognosis in human GC.
- To characterize the tumorous ECM proteome and identify differentially expressed ECM components.
- To link ECM features with specific GC subtypes and identify potential biomarkers for patient stratification.
Main Methods:
- Quantitative proteomic analysis of decellularized GC tissues to characterize the tumorous ECM.
- Histopathological analysis to correlate ECM composition with GC histologic subtypes.
- Integration of ECM proteomics with single-cell RNA sequencing to identify molecular markers in specific tumor stroma.
- Tumor microarray analysis to validate identified biomarkers.
Main Results:
- Proteomic analysis identified 20 tumor-enriched ECM proteins, including glycoproteins, annexins, S100A proteins, and MMP14.
- Significant differences in ECM composition were observed across GC histologic subtypes, with poorly cohesive carcinoma-not otherwise specified (PCC-NOS) being distinctly demarcated.
- PCC-NOS tumors showed enrichment of specific matrisome proteins and gene expression signatures of adipogenic cancer-associated fibroblasts (CAFadi).
- The CAFadi surface marker, ATP binding cassette subfamily A member 8 (ABCA8), was predominantly found in PCC-NOS tumors and associated with adverse outcomes.
Conclusions:
- The study highlights significant ECM heterogeneity in GC, particularly distinguishing the PCC-NOS subtype.
- ECM-centric analysis, combined with molecular profiling, reveals CAFadi signatures linked to poor prognosis in PCC-NOS.
- Identified ECM proteins and CAFadi markers like ABCA8 hold potential as biomarkers for GC patient stratification and therapeutic targeting.

