Cellphone enabled point-of-care assessment of breast tumor cytology and molecular HER2 expression from fine-needle aspirates

Autor: Allison Hall, Simone A. Wall, Amy B. Cheng, Ashutosh Chilkoti, Qingshan Wei, Grace R. Anderson, E. Shelley Hwang, Jason Liu, Daniel Y. Joh, Jacob T Heggestad, Faris Albarghouthi, Kris C. Wood, Suzanne E. Wardell, Terry Hyslop, Shengwei Zhang, Sachi Oshima, Angus Hucknall, Jayanta Bhattacharyya, Kyle C. Strickland
Rok vydání: 2020
Předmět:
Zdroj: NPJ Breast Cancer
npj Breast Cancer, Vol 7, Iss 1, Pp 1-14 (2021)
ISSN: 2374-4677
Popis: Management of breast cancer in limited-resource settings is hindered by a lack of low-cost, logistically sustainable approaches toward molecular and cellular diagnostic pathology services that are needed to guide therapy. To address these limitations, we have developed a multimodal cellphone-based platform—the EpiView-D4—that can evaluate both cellular morphology and molecular expression of clinically relevant biomarkers directly from fine-needle aspiration (FNA) of breast tissue specimens within 1 h. The EpiView-D4 is comprised of two components: (1) an immunodiagnostic chip built upon a “non-fouling” polymer brush-coating (the “D4”) which quantifies expression of protein biomarkers directly from crude cell lysates, and (2) a custom cellphone-based optical microscope (“EpiView”) designed for imaging cytology preparations and D4 assay readout. As a proof-of-concept, we used the EpiView-D4 for assessment of human epidermal growth factor receptor-2 (HER2) expression and validated the performance using cancer cell lines, animal models, and human tissue specimens. We found that FNA cytology specimens (prepared in less than 5 min with rapid staining kits) imaged by the EpiView-D4 were adequate for assessment of lesional cellularity and tumor content. We also found our device could reliably distinguish between HER2 expression levels across multiple different cell lines and animal xenografts. In a pilot study with human tissue (n = 19), we were able to accurately categorize HER2-negative and HER2-positve tumors from FNA specimens. Taken together, the EpiView-D4 offers a promising alternative to invasive—and often unavailable—pathology services and may enable the democratization of effective breast cancer management in limited-resource settings.
Databáze: OpenAIRE