Intravital imaging technology guides FAK-mediated priming in pancreatic cancer precision medicine according to Merlin status

根据 Merlin 状态,活体成像技术指导胰腺癌精准医疗中 FAK 介导的启动。

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作者:Kendelle J Murphy,Daniel A Reed,Claire Vennin ,James R W Conway ,Max Nobis,Julia X Yin,Cecilia R Chambers,Brooke A Pereira,Victoria Lee,Elysse C Filipe,Michael Trpceski,Shona Ritchie,Morghan C Lucas,Sean C Warren,Joanna N Skhinas,Astrid Magenau,Xanthe L Metcalf,Janett Stoehr,Gretel Major,Ashleigh Parkin,Romain Bidanel,Ruth J Lyons,Anaiis Zaratzian,Michael Tayao,Andrew Da Silva,Lea Abdulkhalek  ; Australian Pancreatic Genome Initiative (APGI); Australian Pancreatic Cancer Matrix Atlas (APMA); Anthony J Gill ,Amber L Johns,Andrew V Biankin,Jaswinder Samra,Sean M Grimmond,Angela Chou ,Jacky G Goetz ,Michael S Samuel,J Guy Lyons ,Andrew Burgess,C Elizabeth Caldon,Lisa G Horvath ,Roger J Daly,Nikolaj Gadegaard,Yingxiao Wang,Owen J Sansom,Jennifer P Morton,Thomas R Cox,Marina Pajic,David Herrmann,Paul Timpson

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is a highly metastatic, chemoresistant malignancy and is characterized by a dense, desmoplastic stroma that modulates PDAC progression. Here, we visualized transient manipulation of focal adhesion kinase (FAK), which integrates bidirectional cell-environment signaling, using intravital fluorescence lifetime imaging microscopy of the FAK-based Förster resonance energy transfer biosensor in mouse and patient-derived PDAC models. Parallel real-time quantification of the FUCCI cell cycle reporter guided us to improve PDAC response to standard-of-care chemotherapy at primary and secondary sites. Critically, micropatterned pillar plates and stiffness-tunable matrices were used to pinpoint the contribution of environmental cues to chemosensitization, while fluid flow–induced shear stress assessment, patient-derived matrices, and personalized in vivo models allowed us to deconstruct how FAK inhibition can reduce PDAC spread. Last, stratification of PDAC patient samples via Merlin status revealed a patient subset with poor prognosis that are likely to respond to FAK priming before chemotherapy.

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