A systems biology approach to define mechanisms, phenotypes, and drivers in PanNETs with a personalized perspective.

ABSTRACT: Pancreatic neuroendocrine tumors (PanNETs) are a rare tumor entity with largely unpredictable progression and increasing incidence in developed countries. Molecular pathways involved in PanNETs development are still not elucidated, and specific biomarkers are missing. Moreover, the heterogeneity of PanNETs makes their treatment challenging and most approved targeted therapeutic options for PanNETs lack objective responses. Here, we applied a systems biology approach integrating dynamic modeling strategies, foreign classifier tailored approaches, and patient expression profiles to predict PanNETs progression as well as resistance mechanisms to clinically approved treatments such as the mammalian target of rapamycin complex 1 (mTORC1) inhibitors. We set up a model able to represent frequentl

SUBMITTER: Werle SD 

PROVIDER: S-EPMC10239456 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature