2021

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

Science advances Murphy KJ, Reed DA, Vennin C, Conway JRW, Nobis M, Yin JX, Chambers CR, Pereira BA, Lee V, Filipe EC, Trpceski M, Ritchie S, Lucas MC, Warren SC, Skhinas JN, Magenau A, Metcalf XL, Stoehr J, Major G, Parkin A, Bidanel R, Lyons RJ, Zaratzian A, Tayao M, Da Silva A, Abdulkhalek L, Australian Pancreatic Genome Initiative (APGI), Australian Pancreatic Cancer Matrix Atlas (APMA), Gill AJ, Johns AL, Biankin AV, Samra J, Grimmond SM, Chou A, Goetz JG, Samuel MS, Lyons JG, Burgess A, Caldon CE, Horvath LG, Daly RJ, Gadegaard N, Wang Y, Sansom OJ, Morton JP, Cox TR, Pajic M, Herrmann D, Timpson P
阅读原文 PDF DOI PubMed

组成图示

示意图生成中

传感器类型

检测对象

检测原理

检测灵敏度

效应效果

传感器的构成

中文摘要

英文摘要

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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