TRIPODD Enables Single-Cell Quantification of Therapeutic Efficacy
Nathan P McMahon, Allison Solanki, Antonio R Montaño
1Biomedical Engineering, Illinois Institute of Technology, Chicago, Illinois 60616, United States.
Abstract:
Targeted, small-molecule therapeutics have improved patient survival across cancer types, with >20 tyrosine kinase inhibitors (TKIs) receiving FDA approval as cancer therapies. While the initial TKI response is often promising, it is typically transient due to tumor evolution and subsequent therapeutic resistance driven by primary or acquired resistance mechanisms. While resistance mechanisms vary, there are currently no spatially resolved methodologies that provide a quantitative, mechanistic understanding of drug delivery and therapeutic response across therapeutic modalities (e.g., chemotherapy, radiotherapy, TKIs, immunotherapy) to enable personalized cancer therapy. Herein, we utilize our previously reported fluorescence imaging platform, Therapeutic Response Imaging through Proteomic and Optical Drug Distribution (TRIPODD), which is a quantitative protocol capable of interpreting the relationship between drug delivery and therapeutic response within the spatial context of a tumor to evaluate single-cell response and resistance to epidermal growth factor receptor TKI therapy. In this study, we applied TRIPODD to quantify the therapeutic response of EGFR-TKI-sensitive nonsmall cell lung cancer (NSCLC) xenografts to erlotinib, as a proof of concept for the platform. Through these studies, we were able to identify unique signatures of therapeutic response linked to the accumulation and engagement of erlotinib on a single-cell basis, demonstrating the utility of our TRIPODD platform technology in evaluating the treatment response and resistance at the single-cell level in heterogeneous tumors.
Insights
We developed a novel imaging platform, TRIPODD, to analyze single-cell drug response and resistance in tumors. This technology quantifies drug distribution and therapeutic effects, aiding personalized cancer therapy development.
Area of Science:
- Oncology
- Pharmacology
- Biomedical Imaging
Background:
- Targeted therapies like tyrosine kinase inhibitors (TKIs) improve cancer survival but often face transient responses due to tumor resistance.
- Existing methods lack spatial resolution for quantitative analysis of drug delivery and response mechanisms.
- Personalized cancer therapy requires understanding drug action and resistance at a single-cell level within the tumor microenvironment.
Purpose of the Study:
- To evaluate the utility of the Therapeutic Response Imaging through Proteomic and Optical Drug Distribution (TRIPODD) platform for assessing single-cell response to epidermal growth factor receptor (EGFR) TKI therapy.
- To demonstrate TRIPODD's capability in quantifying drug delivery and therapeutic response within the spatial context of a tumor.
- To identify single-cell signatures of therapeutic response and resistance to EGFR-TKI treatment.
Main Methods:
- Application of the quantitative fluorescence imaging platform, TRIPODD, to EGFR-TKI-sensitive non-small cell lung cancer (NSCLC) xenografts.
- Quantification of erlotinib accumulation and engagement at the single-cell level within the tumor.
- Analysis of spatial drug distribution and its correlation with therapeutic response and resistance.
Main Results:
- TRIPODD successfully quantified the therapeutic response of NSCLC xenografts to erlotinib.
- Unique single-cell signatures of therapeutic response were identified, linked to erlotinib accumulation and engagement.
- The study demonstrated the platform's ability to evaluate treatment response and resistance in heterogeneous tumors at the single-cell level.
Conclusions:
- The TRIPODD platform provides a quantitative, spatially resolved method for evaluating single-cell drug response and resistance.
- TRIPODD enables a mechanistic understanding of drug delivery and therapeutic effects, crucial for personalized cancer therapy.
- This technology holds promise for advancing the development and application of targeted cancer therapies by revealing treatment dynamics within heterogeneous tumors.
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