High-Sensitive Spatial Proteomics for Pancreatic Cancer Progression Analysis
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ABSTRACT: Pancreatic cancer remains as one of the most challenging malignancies to diagnose and treat due to its silent progression and limited early diagnostic options. The intraductal papillary mucinous neoplasm (IPMN) provides an early-stage lesion for studying pancreatic cancer progression. However, proteomic analyses of IPMN and its comparison with pancreatic ductal adenocarcinoma (PDAC) and normal duct (ND) have been limited due to their low cellularity. In this study, we present an optimized spatial tissue proteomics workflow, termed SP-Max (Spatial Proteomics Optimized for Maximum Sensitivity and Reproducibility in Minimal Sample), designed to maximize protein recovery and quantification from limited laser micro dissected (LMD) samples. Our workflow enabled the identification of more than 6,000 proteins and the quantification of over 5,200 protein groups from FFPE tissue contours of actual pancreatic cancer patients. Comparative analyses across ND, IPMN, and PDAC revealed critical molecular differences in protein pathways and potential prognostic markers. SP-Max provides a systematic, reproducible approach that significantly enhances our ability to study precancerous lesions and cancer progression in pancreatic tissues at unprecedented resolution.
INSTRUMENT(S):
ORGANISM(S): Homo Sapiens (human)
TISSUE(S): Pancreas
SUBMITTER:
Jongmin Woo
LAB HEAD: Hui Zhang
PROVIDER: PXD060378 | Pride | 2026-02-22
REPOSITORIES: Pride
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