Claudio Vinegoni, Ph.D. | CytoPAN-Portable cellular analyses for rapid point-of-care cancer diagnosis

Sci. Transl. Med.
CytoPAN-Portable cellular analyses for rapid point-of-care cancer diagnosis

Min, J., Chin, L. K., Oh, J., Landeros, C., Vinegoni, C., Lee, J., Lee, S. J., Park, J. Y., Liu, A. Q., Castro, C. M., Lee, H., Im, H., and Weissleder^#, R.

Science Translational Medicine 2020

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Rapid, automated, point-of-care cellular diagnosis of cancer remains difficult in remote settings due to lack of specialists and medical infrastructure. To address the need for same-day diagnosis, we developed an automated image cytometry system (CytoPAN) that allows rapid breast cancer diagnosis of scant cellular specimens obtained by fine needle aspiration (FNA) of palpable mass lesions. The system is devoid of moving parts for stable operations, harnesses optimized antibody kits for multiplexed analysis, and offers a user-friendly interface with automated analysis for rapid diagnoses. Through extensive optimization and validation using cell lines and mouse models, we established breast cancer diagnosis and receptor subtyping in 1 hour using as few as 50 harvested cells. In a prospective patient cohort study (n = 68), we showed that the diagnostic accuracy was 100% for cancer detection and the receptor subtyping accuracy was 96% for human epidermal growth factor receptor 2 and 93% for hormonal receptors (ER/PR), two key biomarkers associated with breast cancer. A combination of FNA and CytoPAN offers faster, less invasive cancer diagnoses than the current standard (core biopsy and histopathology). This approach should enable the ability to more rapidly diagnose breast cancer in global and remote settings.
@article{2020-STM, author= {Min, J. and Chin, L. K. and Oh, J. and Landeros, C. and Vinegoni, C. and Lee, J. and Lee, S. J. and Park, J. Y. and Liu, A. Q. and Castro, C. M. and Lee, H. and Im, H. and Weissleder<sup>#</sup>, R.}, title= {CytoPAN-Portable cellular analyses for rapid point-of-care cancer diagnosis}, journal= {Science Translational Medicine}, alternatejournal = {Sci. Transl. Med.}, year = {2020}, volume = {12}, number = {555}, pages = {14}, issn = {1946-6234}, doi = {10.1126/scitranslmed.aaz9746}, pmcid = {PMC8217912}, pmid= {32759277} }
32759277

PMC8217912

10.1126/scitranslmed.aaz9746

Abstract

"Rapid, automated, point-of-care cellular diagnosis of cancer remains difficult in remote settings due to lack of specialists and medical infrastructure. To address the need for same-day diagnosis, we developed an automated image cytometry system (CytoPAN) that allows rapid breast cancer diagnosis of scant cellular specimens obtained by fine needle aspiration (FNA) of palpable mass lesions. The system is devoid of moving parts for stable operations, harnesses optimized antibody kits for multiplexed analysis, and offers a user-friendly interface with automated analysis for rapid diagnoses. Through extensive optimization and validation using cell lines and mouse models, we established breast cancer diagnosis and receptor subtyping in 1 hour using as few as 50 harvested cells. In a prospective patient cohort study (n = 68), we showed that the diagnostic accuracy was 100% for cancer detection and the receptor subtyping accuracy was 96% for human epidermal growth factor receptor 2 and 93% for hormonal receptors (ER/PR), two key biomarkers associated with breast cancer. A combination of FNA and CytoPAN offers faster, less invasive cancer diagnoses than the current standard (core biopsy and histopathology). This approach should enable the ability to more rapidly diagnose breast cancer in global and remote settings."

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Min, J., Chin, L. K., Oh, J., Landeros, C., Vinegoni, C., Lee, J., Lee, S. J., Park, J. Y., Liu, A. Q., Castro, C. M., Lee, H., Im, H., & Weissleder^#, R. (2020). CytoPAN-Portable cellular analyses for rapid point-of-care cancer diagnosis. Science Translational Medicine, 12(555), 14. https://doi.org/10.1126/scitranslmed.aaz9746