A Sequential Proteomic Relay Defines a Decade-long Pre-diagnostic Window for Pancreatic Cancer.

Key Points

• To identify a sequential proteomic model that indicates a prolonged pre-diagnostic window for pancreatic cancer.
• Developed a proteomic relay model to track changes over a decade.
• Analyzed biological samples to identify early markers of pancreatic cancer.
• Proposed a framework for risk-stratified surveillance based on proteomic data.
• Demonstrated that the proteomic model can predict pancreatic cancer onset years in advance.
• Extended the effective window for clinical intervention compared to existing standards.
• Highlighted the need for enhanced surveillance strategies to catch pancreatic cancer earlier.