In situ single-cell therapeutic response imaging facilitated by the TRIPODD fluorescence imaging platform

Purpose: Small molecule drugs such as tyrosine kinase inhibitors (TKIs) targeting tumoral molecular dependencies have become standard of care for numerous cancer types. Notably, epidermal growth factor receptor (EGFR) TKIs (e.g., erlotinib, afatinib, osimertinib) are the current first-line treatment for non-small cell lung cancer (NSCLC) due to their improved therapeutic outcomes for EGFR mutated and overexpressing disease over traditional platinum-based chemotherapy. However, many NSCLC tumors develop resistance to EGFR TKI therapy causing disease progression. Currently, the relationship between in situ drug target availability (DTA), local protein expression and therapeutic response cannot be accurately assessed using existing analytical tools despite being crucial to understanding the mechanism of therapeutic efficacy. Procedure: We have previously reported development of our fluorescence imaging platform termed TRIPODD (Therapeutic Response Imaging through Proteomic and Optical Drug Distribution) that is capable of simultaneous quantification of single-cell DTA and protein expression with preserved spatial context within a tumor. TRIPODD combines two complementary fluorescence imaging techniques: intracellular paired agent imaging (iPAI) to measure DTA and cyclic immunofluorescence (cyCIF), which utilizes oligonucleotide conjugated antibodies (Ab-oligos) for spatial proteomic expression profiling on tissue samples. Herein, TRIPODD was modified and optimized to provide a downstream analysis of therapeutic response through single-cell DTA and proteomic response imaging. Results: We successfully performed sequential imaging of iPAI and cyCIF resulting in high dimensional imaging and biomarker assessment to quantify single-cell DTA and local protein expression on erlotinib treated NSCLC models. Pharmacodynamic and pharmacokinetic studies of the erlotinib iPAI probes revealed that administration of 2.5 mg/kg each of the targeted and untargeted probe 4 h prior to tumor collection enabled calculation of DTA values with high Pearson correlation to EGFR, the erlotinib molecular target, expression in the tumors. Analysis of single-cell biomarker expression revealed that a single erlotinib dose was insufficient to enact a measurable decrease in the EGFR signaling cascade protein expression, where only the DTA metric detected the presence of bound erlotinib. Conclusion: We demonstrated the capability of TRIPODD to evaluate therapeutic response imaging to erlotinib treatment as it relates to signaling inhibition, DTA, proliferation, and apoptosis with preserved spatial context.

[1]  Antonio R. Montaño,et al.  OregonFluor enables quantitative intracellular paired agent imaging to assess drug target availability in live cells and tissues , 2023, Nature Chemistry.

[2]  Matthew S. Dietz,et al.  Flexible Cyclic Immunofluorescence (cyCIF) Using Oligonucleotide Barcoded Antibodies , 2023, Cancers.

[3]  Summer L. Gibbs,et al.  Oligonucleotide conjugated antibody strategies for cyclic immunostaining , 2021, Scientific Reports.

[4]  P. Spellman,et al.  Multiomics analysis of serial PARP inhibitor treated metastatic TNBC inform on rational combination therapies , 2021, npj Precision Oncology.

[5]  Antonio R. Montaño,et al.  TRIPODD: a Novel Fluorescence Imaging Platform for In Situ Quantification of Drug Distribution and Therapeutic Response , 2021, Molecular Imaging and Biology.

[6]  Summer L. Gibbs,et al.  Oligonucleotide conjugated antibodies permit highly multiplexed immunofluorescence for future use in clinical histopathology , 2020, Journal of biomedical optics.

[7]  N. Ishizuka,et al.  Phase I/II Study of Erlotinib to Determine the Optimal Dose in Patients With Non‐Small Cell Lung Cancer Harboring Only EGFR Mutations , 2020, Clinical and translational science.

[8]  Connor W. Barth,et al.  Topical dual-probe staining using quantum dot-labeled antibodies for identifying tumor biomarkers in fresh specimens , 2020, PloS one.

[9]  K. Huber,et al.  Importance of Quantifying Drug-Target Engagement in Cells. , 2020, ACS medicinal chemistry letters.

[10]  D. Kirkpatrick,et al.  Monitoring protein communities and their responses to therapeutics , 2020, Nature Reviews Drug Discovery.

[11]  Lei Wang,et al.  Intracellular paired agent imaging enables improved evaluation of tyrosine kinase inhibitor target engagement , 2020, BiOS.

[12]  Holger Moch,et al.  The single-cell pathology landscape of breast cancer , 2020, Nature.

[13]  Garry Nolan,et al.  MIBI-TOF: A multiplexed imaging platform relates cellular phenotypes and tissue structure , 2019, Science Advances.

[14]  Maria Anna Rapsomaniki,et al.  A Single-Cell Atlas of the Tumor and Immune Ecosystem of Human Breast Cancer , 2019, Cell.

[15]  Scott C Davis,et al.  Diagnostic performance of receptor-specific surgical specimen staining correlates with receptor expression level , 2019, Journal of biomedical optics.

[16]  Scott C. Davis,et al.  Effect of staining temperature on topical dual stain imaging of tissue specimens for tumor identification , 2019, BiOS.

[17]  Scott C. Davis,et al.  Diagnostic performance of receptor-specific surgical specimen staining correlate with receptor expression level , 2019, BiOS.

[18]  B. Besse,et al.  Making the first move in EGFR-driven or ALK-driven NSCLC: first-generation or next-generation TKI? , 2018, Nature Reviews Clinical Oncology.

[19]  P. Sorger,et al.  Highly multiplexed immunofluorescence imaging of human tissues and tumors using t-CyCIF and conventional optical microscopes , 2018, eLife.

[20]  S. Lim,et al.  Acquired resistance to EGFR targeted therapy in non-small cell lung cancer: Mechanisms and therapeutic strategies. , 2018, Cancer treatment reviews.

[21]  Dnp Crnp Colleen R. Kucharczuk,et al.  Drug-Drug Interactions, Safety, and Pharmacokinetics of EGFR Tyrosine Kinase Inhibitors for the Treatment of Non–Small Cell Lung Cancer , 2018, Journal of the advanced practitioner in oncology.

[22]  H. Rupasinghe,et al.  Kinase-targeted cancer therapies: progress, challenges and future directions , 2018, Molecular Cancer.

[23]  Ying Cheng,et al.  Osimertinib in Untreated EGFR‐Mutated Advanced Non–Small‐Cell Lung Cancer , 2018, The New England journal of medicine.

[24]  Salil S. Bhate,et al.  Deep Profiling of Mouse Splenic Architecture with CODEX Multiplexed Imaging , 2017, Cell.

[25]  Scott C. Davis,et al.  Optimizing fresh specimen staining for rapid identification of tumor biomarkers during surgery , 2017, Theranostics.

[26]  Joe W. Gray,et al.  Multiplexed immunohistochemistry image analysis using sparse coding , 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

[27]  Paul H. Huang,et al.  Exploiting Synthetic Lethality and Network Biology to Overcome EGFR Inhibitor Resistance in Lung Cancer. , 2017, Journal of molecular biology.

[28]  Adam A. Margolin,et al.  Quantitative Multiplex Immunohistochemistry Reveals Myeloid-Inflamed Tumor-Immune Complexity Associated with Poor Prognosis. , 2017, Cell reports.

[29]  Michael F. Cuccarese,et al.  Quantitating drug-target engagement in single cells in vitro and in vivo. , 2017, Nature chemical biology.

[30]  P. Sorger,et al.  Cyclic Immunofluorescence (CycIF), A Highly Multiplexed Method for Single‐cell Imaging , 2016, Current protocols in chemical biology.

[31]  Douglas W. Thomson,et al.  A Modular Probe Strategy for Drug Localization, Target Identification and Target Occupancy Measurement on Single Cell Level. , 2016, ACS chemical biology.

[32]  G. Litjens,et al.  In-depth tissue profiling using multiplexed immunohistochemical consecutive staining on single slide , 2016, Science Immunology.

[33]  Michael Neuberger,et al.  Multispectral Imaging of T and B Cells in Murine Spleen and Tumor , 2016, The Journal of Immunology.

[34]  H. Waldmann,et al.  Small-Molecule Target Engagement in Cells. , 2016, Cell chemical biology.

[35]  Jonathan T. C. Liu,et al.  Quantitative in vivo cell-surface receptor imaging in oncology: kinetic modeling and paired-agent principles from nuclear medicine and optical imaging , 2015, Physics in medicine and biology.

[36]  Sean C. Bendall,et al.  Data-Driven Phenotypic Dissection of AML Reveals Progenitor-like Cells that Correlate with Prognosis , 2015, Cell.

[37]  R. Levenson,et al.  Immunohistochemistry and mass spectrometry for highly multiplexed cellular molecular imaging , 2015, Laboratory Investigation.

[38]  Tayyaba Hasan,et al.  Microscopic lymph node tumor burden quantified by macroscopic dual-tracer molecular imaging , 2014, Nature Medicine.

[39]  W. Pao,et al.  AZD9291, an irreversible EGFR TKI, overcomes T790M-mediated resistance to EGFR inhibitors in lung cancer. , 2014, Cancer discovery.

[40]  Jason R. Gunn,et al.  Tumor Endothelial Marker Imaging in Melanomas Using Dual-Tracer Fluorescence Molecular Imaging , 2014, Molecular Imaging and Biology.

[41]  T. Hasan,et al.  Accounting for pharmacokinetic differences in dual-tracer receptor density imaging , 2014, Physics in medicine and biology.

[42]  Bogdan Munteanu,et al.  Label-free in situ monitoring of histone deacetylase drug target engagement by matrix-assisted laser desorption ionization-mass spectrometry biotyping and imaging. , 2014, Analytical chemistry.

[43]  Sean C. Bendall,et al.  Multiplexed ion beam imaging of human breast tumors , 2014, Nature Medicine.

[44]  J. Buhmann,et al.  Highly multiplexed imaging of tumor tissues with subcellular resolution by mass cytometry , 2014, Nature Methods.

[45]  Scott C Davis,et al.  Topical dual-stain difference imaging for rapid intra-operative tumor identification in fresh specimens. , 2013, Optics letters.

[46]  W. Lu,et al.  Pharmacokinetic-pharmacodynamic modeling of the anticancer effect of erlotinib in a human non-small cell lung cancer xenograft mouse model , 2013, Acta Pharmacologica Sinica.

[47]  Chun-Ming Tsai,et al.  Phase III study of afatinib or cisplatin plus pemetrexed in patients with metastatic lung adenocarcinoma with EGFR mutations. , 2013, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[48]  J. Arrowsmith,et al.  Trial Watch: Phase II and Phase III attrition rates 2011–2012 , 2013, Nature Reviews Drug Discovery.

[49]  P. Nordlund,et al.  Monitoring Drug Target Engagement in Cells and Tissues Using the Cellular Thermal Shift Assay , 2013, Science.

[50]  Qing Li,et al.  Highly multiplexed single-cell analysis of formalin-fixed, paraffin-embedded cancer tissue , 2013, Proceedings of the National Academy of Sciences.

[51]  R. Jain Normalizing tumor microenvironment to treat cancer: bench to bedside to biomarkers. , 2013, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[52]  Pavel Zrazhevskiy,et al.  Quantum dot imaging platform for single-cell molecular profiling , 2013, Nature Communications.

[53]  B. Cravatt,et al.  Determining target engagement in living systems. , 2013, Nature chemical biology.

[54]  Emma Lundberg,et al.  Immunofluorescence and fluorescent-protein tagging show high correlation for protein localization in mammalian cells , 2013, Nature Methods.

[55]  Christopher H Contag,et al.  Microscopic Delineation of Medulloblastoma Margins in a Transgenic Mouse Model Using a Topically Applied VEGFR-1 Probe. , 2012, Translational oncology.

[56]  Jason R. Gunn,et al.  In Vivo Quantification of Tumor Receptor Binding Potential with Dual-Reporter Molecular Imaging , 2012, Molecular Imaging and Biology.

[57]  Tayyaba Hasan,et al.  Improved tumor contrast achieved by single time point dual-reporter fluorescence imaging. , 2012, Journal of biomedical optics.

[58]  Paul M. Matthews,et al.  Positron emission tomography molecular imaging for drug development. , 2012, British journal of clinical pharmacology.

[59]  Jun Ma,et al.  Erlotinib versus chemotherapy as first-line treatment for patients with advanced EGFR mutation-positive non-small-cell lung cancer (OPTIMAL, CTONG-0802): a multicentre, open-label, randomised, phase 3 study. , 2011, The Lancet. Oncology.

[60]  C. Keller,et al.  Preclinical Testing of Erlotinib in a Transgenic Alveolar Rhabdomyosarcoma Mouse Model , 2011, Sarcoma.

[61]  Douglas H. Thamm,et al.  The Bruton tyrosine kinase inhibitor PCI-32765 blocks B-cell activation and is efficacious in models of autoimmune disease and B-cell malignancy , 2010, Proceedings of the National Academy of Sciences.

[62]  Tayyaba Hasan,et al.  Imaging targeted-agent binding in vivo with two probes. , 2010, Journal of biomedical optics.

[63]  Min Gao,et al.  Chemical genetics strategy identifies an HCV NS5A inhibitor with a potent clinical effect , 2010, Nature.

[64]  J. Pelletier,et al.  Target identification using drug affinity responsive target stability (DARTS) , 2009, Proceedings of the National Academy of Sciences.

[65]  P. Hartig,et al.  Target site occupancy: emerging generalizations from clinical and preclinical studies. , 2009, Pharmacology & therapeutics.

[66]  J. Mandell,et al.  Simple: A Sequential Immunoperoxidase Labeling and Erasing Method , 2009, The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society.

[67]  Christopher H Contag,et al.  Quantifying cell-surface biomarker expression in thick tissues with ratiometric three-dimensional microscopy. , 2009, Biophysical journal.

[68]  Vasilis Ntziachristos,et al.  In vivo investigation of breast cancer progression by use of an internal control. , 2009, Neoplasia.

[69]  L. Johnson Protein kinase inhibitors: contributions from structure to clinical compounds , 2009, Quarterly Reviews of Biophysics.

[70]  Jack Taunton,et al.  A clickable inhibitor reveals context-dependent autoactivation of p90 RSK. , 2007, Nature chemical biology.

[71]  R. Bruno,et al.  Clinical pharmacokinetics of erlotinib in patients with solid tumors and exposure‐safety relationship in patients with non–small cell lung cancer , 2006, Clinical pharmacology and therapeutics.

[72]  R. Jain Normalization of Tumor Vasculature: An Emerging Concept in Antiangiogenic Therapy , 2005, Science.

[73]  Y. Okita,et al.  Association of p53 gene mutation and telomerase activity in resectable non-small cell lung cancer. , 2001, Chest.

[74]  D. Pressman,et al.  The use of paired labeling in the determination of tumor-localizing antibodies. , 1957, Cancer research.

[75]  M. Tiseo,et al.  Mechanisms of Resistance to Target Therapies in Non-small Cell Lung Cancer. , 2018, Handbook of experimental pharmacology.

[76]  S. Temin,et al.  Systemic Therapy for Stage IV Non-Small-Cell Lung Cancer: American Society of Clinical Oncology Clinical Practice Guideline Update. , 2016, Journal of oncology practice / American Society of Clinical Oncology.

[77]  Miles A. Miller,et al.  Tumor associated macrophages act as a slow-release reservoir of nano-therapeutic Pt(IV) pro-drug , 2016 .

[78]  A. Shaw,et al.  Molecular Pathways Molecular Pathways : Resistance to Kinase Inhibitors and Implications for Therapeutic Strategies , 2014 .

[79]  Scott C Davis,et al.  Dual-tracer background subtraction approach for fluorescent molecular tomography , 2013, Journal of biomedical optics.

[80]  L. Tanoue Gefitinib or Chemotherapy for Non–Small-Cell Lung Cancer with Mutated EGFR , 2011 .