The overall objectives of this study are to develop molecular classifiers for PNETs and to comprehensively identify the molecular alterations associated with this rare disease. Our overarching hypothesis is that proteogenomic profiling of PNET samples will reveal molecular subclasses and identify novel disease-specific alterations.
Aim 1: Comprehensively identify molecular alterations in PNET specimens using proteogenomics and devise clinically relevant molecular subclasses.
Aim 2: Validate and compare the PNET molecular classifiers. Molecular subclasses will be validated using an independent cohort of 34 PNET and normal islet samples, and compared to publicly available datasets.
Our experimental strategy employs an innovative new SP3-CTP methodology that generates unprecedented protein coverage for clinical specimens. Our proteogenomics analysis will be the first of its kind for PNETs, and will provide a PNET molecular classification to aid clinical management. At the same time, it will generate a fundamental resource for better understanding PNET biology, and for identifying biomarkers, activated regulatory pathways, and potential therapeutic targets.
NET Research Foundation
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