Literature DB >> 30183789

3D microfluidic ex vivo culture of organotypic tumor spheroids to model immune checkpoint blockade.

Amir R Aref1, Marco Campisi, Elena Ivanova, Andrew Portell, Dalia Larios, Brandon P Piel, Natasha Mathur, Chensheng Zhou, Raven Vlahos Coakley, Alan Bartels, Michaela Bowden, Zach Herbert, Sarah Hill, Sean Gilhooley, Jacob Carter, Israel Cañadas, Tran C Thai, Shunsuke Kitajima, Valeria Chiono, Cloud P Paweletz, David A Barbie, Roger D Kamm, Russell W Jenkins.   

Abstract

Microfluidic culture has the potential to revolutionize cancer diagnosis and therapy. Indeed, several microdevices are being developed specifically for clinical use to test novel cancer therapeutics. To be effective, these platforms need to replicate the continuous interactions that exist between tumor cells and non-tumor cell elements of the tumor microenvironment through direct cell-cell or cell-matrix contact or by the secretion of signaling factors such as cytokines, chemokines and growth factors. Given the challenges of personalized or precision cancer therapy, especially with the advent of novel immunotherapies, a critical need exists for more sophisticated ex vivo diagnostic systems that recapitulate patient-specific tumor biology with the potential to predict response to immune-based therapies in real-time. Here, we present details of a method to screen for the response of patient tumors to immune checkpoint blockade therapy, first reported in Jenkins et al. Cancer Discovery, 2018, 8, 196-215, with updated evaluation of murine- and patient-derived organotypic tumor spheroids (MDOTS/PDOTS), including evaluation of the requirement for 3D microfluidic culture in MDOTS, demonstration of immune-checkpoint sensitivity of PDOTS, and expanded evaluation of tumor-immune interactions using RNA-sequencing to infer changes in the tumor-immune microenvironment. We also examine some potential improvements to current systems and discuss the challenges in translating such diagnostic assays to the clinic.

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Year:  2018        PMID: 30183789      PMCID: PMC6274590          DOI: 10.1039/c8lc00322j

Source DB:  PubMed          Journal:  Lab Chip        ISSN: 1473-0189            Impact factor:   6.799


  55 in total

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Authors:  Jiehui Deng; Eric S Wang; Russell W Jenkins; Shuai Li; Ruben Dries; Kathleen Yates; Sandeep Chhabra; Wei Huang; Hongye Liu; Amir R Aref; Elena Ivanova; Cloud P Paweletz; Michaela Bowden; Chensheng W Zhou; Grit S Herter-Sprie; Jessica A Sorrentino; John E Bisi; Patrick H Lizotte; Ashley A Merlino; Max M Quinn; Lauren E Bufe; Annan Yang; Yanxi Zhang; Hua Zhang; Peng Gao; Ting Chen; Megan E Cavanaugh; Amanda J Rode; Eric Haines; Patrick J Roberts; Jay C Strum; William G Richards; Jochen H Lorch; Sareh Parangi; Viswanath Gunda; Genevieve M Boland; Raphael Bueno; Sangeetha Palakurthi; Gordon J Freeman; Jerome Ritz; W Nicholas Haining; Norman E Sharpless; Haribabu Arthanari; Geoffrey I Shapiro; David A Barbie; Nathanael S Gray; Kwok-Kin Wong
Journal:  Cancer Discov       Date:  2017-11-03       Impact factor: 38.272

10.  Transcriptional profiling of macrophage and tumor cell interactions in vitro.

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  60 in total

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2.  A microfluidic platform for functional testing of cancer drugs on intact tumor slices.

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Journal:  Lab Chip       Date:  2020-04-09       Impact factor: 6.799

Review 3.  Addressing Patient Specificity in the Engineering of Tumor Models.

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4.  Modeling the Tumor Microenvironment and Pathogenic Signaling in Bone Sarcoma.

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5.  Bioengineered Tumor Organoids.

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7.  Immuno-PET identifies the myeloid compartment as a key contributor to the outcome of the antitumor response under PD-1 blockade.

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Journal:  Proc Natl Acad Sci U S A       Date:  2019-08-02       Impact factor: 11.205

8.  Reconfigurable Microphysiological Systems for Modeling Innervation and Multitissue Interactions.

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Review 9.  Engineering Microphysiological Immune System Responses on Chips.

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Journal:  Trends Biotechnol       Date:  2020-02-18       Impact factor: 19.536

Review 10.  In Vitro Modeling of the Tumor Microenvironment in Tumor Organoids.

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Journal:  Tissue Eng Regen Med       Date:  2020-05-12       Impact factor: 4.169

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