Literature DB >> 33751366

TRIPODD: a Novel Fluorescence Imaging Platform for In Situ Quantification of Drug Distribution and Therapeutic Response.

Nathan P McMahon1, Allison Solanki1, Lei G Wang1, Antonio R Montaño1, Jocelyn A Jones1, Kimberley S Samkoe2,3, Kenneth M Tichauer4, Summer L Gibbs5,6.   

Abstract

PURPOSE: Personalized medicine has largely failed to produce curative therapies in advanced cancer patients. Evaluation of in situ drug target availability (DTA) concomitant with local protein expression is critical to an accurate assessment of therapeutic efficacy, but tools capable of both are currently lacking. PROCEDURE: We developed and optimized a fluorescence imaging platform termed TRIPODD (Therapeutic Response Imaging through Proteomic and Optical Drug Distribution), resulting in the only methodology capable of simultaneous quantification of single-cell DTA and protein expression with preserved spatial context within a tumor. Using TRIPODD, we demonstrate the feasibility of combining two complementary fluorescence imaging techniques, intracellular paired agent imaging (iPAI) and cyclic immunofluorescence (cyCIF), conducted with oligonucleotide-conjugated antibodies (Ab-oligos) on tissue samples.
RESULTS: We successfully performed sequential imaging on a single tissue section of iPAI to capture single-cell DTA and local protein expression heterogeneity using Ab-oligo cyCIF. Fluorescence imaging data acquisition was followed by spatial registration resulting in high dimensional data correlating DTA to protein expression at the single-cell level where uptake of a targeted probe alone was not well correlated to protein expression.
CONCLUSION: Herein, we demonstrated the utility of TRIPODD as a powerful imaging platform capable of interpreting tumor heterogeneity for a mechanistic understanding of therapeutic response and resistance through quantification of drug target availability and proteomic response with preserved spatial context at single-cell resolution.
© 2021. World Molecular Imaging Society.

Entities:  

Keywords:  Cancer heterogeneity; Cyclic immunofluorescence; Drug target engagement; Fluorescence imaging; Intracellular paired agent imaging

Mesh:

Substances:

Year:  2021        PMID: 33751366     DOI: 10.1007/s11307-021-01589-x

Source DB:  PubMed          Journal:  Mol Imaging Biol        ISSN: 1536-1632            Impact factor:   3.488


  59 in total

1.  Cyclic Immunofluorescence (CycIF), A Highly Multiplexed Method for Single-cell Imaging.

Authors:  Jia-Ren Lin; Mohammad Fallahi-Sichani; Jia-Yun Chen; Peter K Sorger
Journal:  Curr Protoc Chem Biol       Date:  2016-12-07

Review 2.  A Convergence-Based Framework for Cancer Drug Resistance.

Authors:  David J Konieczkowski; Cory M Johannessen; Levi A Garraway
Journal:  Cancer Cell       Date:  2018-05-14       Impact factor: 31.743

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Review 4.  Lessons from the cancer genome.

Authors:  Levi A Garraway; Eric S Lander
Journal:  Cell       Date:  2013-03-28       Impact factor: 41.582

Review 5.  Using reverse-phase protein arrays as pharmacodynamic assays for functional proteomics, biomarker discovery, and drug development in cancer.

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Journal:  Semin Oncol       Date:  2016-06-15       Impact factor: 4.929

Review 6.  What are we learning from the cancer genome?

Authors:  Eric A Collisson; Raymond J Cho; Joe W Gray
Journal:  Nat Rev Clin Oncol       Date:  2012-09-11       Impact factor: 66.675

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Authors:  Zipei Feng; Shawn M Jensen; David J Messenheimer; Mohammad Farhad; Michael Neuberger; Carlo B Bifulco; Bernard A Fox
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Review 8.  Development of therapeutic combinations targeting major cancer signaling pathways.

Authors:  Timothy A Yap; Aurelius Omlin; Johann S de Bono
Journal:  J Clin Oncol       Date:  2013-03-18       Impact factor: 44.544

9.  MIBI-TOF: A multiplexed imaging platform relates cellular phenotypes and tissue structure.

Authors:  Leeat Keren; Marc Bosse; Steve Thompson; Tyler Risom; Kausalia Vijayaragavan; Erin McCaffrey; Diana Marquez; Roshan Angoshtari; Noah F Greenwald; Harris Fienberg; Jennifer Wang; Neeraja Kambham; David Kirkwood; Garry Nolan; Thomas J Montine; Stephen J Galli; Robert West; Sean C Bendall; Michael Angelo
Journal:  Sci Adv       Date:  2019-10-09       Impact factor: 14.136

10.  Deep Profiling of Mouse Splenic Architecture with CODEX Multiplexed Imaging.

Authors:  Yury Goltsev; Nikolay Samusik; Julia Kennedy-Darling; Salil Bhate; Matthew Hale; Gustavo Vazquez; Sarah Black; Garry P Nolan
Journal:  Cell       Date:  2018-08-02       Impact factor: 41.582

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  1 in total

1.  Improved Discrimination of Tumors with Low and Heterogeneous EGFR Expression in Fluorescence-Guided Surgery Through Paired-Agent Protocols.

Authors:  Cheng Wang; Xiaochun Xu; Margaret Folaron; Jason R Gunn; Sassan Hodge; Eunice Y Chen; P Jack Hoopes; Kenneth M Tichauer; Kimberley S Samkoe
Journal:  Mol Imaging Biol       Date:  2021-10-14       Impact factor: 3.484

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