Exploiting heat shock protein expression to develop a non-invasive diagnostic tool for breast cancer.
Sci Rep
; 9(1): 3461, 2019 03 05.
Article
em En
| MEDLINE
| ID: mdl-30837677
Leveraging the unique surface expression of heat shock protein 90 (Hsp90) in breast cancer provides an exciting opportunity to develop rapid diagnostic tests at the point-of-care setting. Hsp90 has previously been shown to have elevated expression levels across all breast cancer receptor subtypes. We have developed a non-destructive strategy using HS-27, a fluorescently-tethered Hsp90 inhibitor, to assay surface Hsp90 expression on intact tissue specimens and validated our approach in clinical samples from breast cancer patients across estrogen receptor positive, Her2-overexpressing, and triple negative receptor subtypes. Utilizing a pre-clinical biopsy model, we optimized three imaging parameters that may affect the specificity of HS-27 based diagnostics - time between tissue excision and staining, agent incubation time, and agent dose, and translated our strategy to clinical breast cancer samples. Findings indicated that HS-27 florescence was highest in tumor tissue, followed by benign tissue, and finally followed by mammoplasty negative control samples. Interestingly, fluorescence in tumor samples was highest in Her2+ and triple negative subtypes, and inversely correlated with the presence of tumor infiltrating lymphocytes indicating that HS-27 fluorescence increases in aggressive breast cancer phenotypes. Development of a Gaussian support vector machine classifier based on HS-27 fluorescence features resulted in a sensitivity and specificity of 82% and 100% respectively when classifying tumor and benign conditions, setting the stage for rapid and automated tissue diagnosis at the point-of-care.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Neoplasias da Mama
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Biomarcadores Tumorais
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Expressão Gênica
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Técnicas de Diagnóstico Molecular
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Proteínas de Choque Térmico
Tipo de estudo:
Diagnostic_studies
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Prognostic_studies
Limite:
Female
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Humans
Idioma:
En
Ano de publicação:
2019
Tipo de documento:
Article