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Exploiting heat shock protein expression to develop a non-invasive diagnostic tool for breast cancer.
Crouch, Brian T; Gallagher, Jennifer; Wang, Roujia; Duer, Joy; Hall, Allison; Soo, Mary Scott; Hughes, Philip; Haystead, Timothy; Ramanujam, Nirmala.
Afiliação
  • Crouch BT; Department of Biomedical Engineering, Duke University, Durham, NC, USA. brian.crouch@duke.edu.
  • Gallagher J; Department of Surgery, Duke University Medical Center, Durham, NC, USA.
  • Wang R; Department of Biomedical Engineering, Duke University, Durham, NC, USA.
  • Duer J; Trinity College of Arts and Sciences, Duke University, Durham, NC, USA.
  • Hall A; Department of Pathology, Duke University Medical Center, Durham, NC, USA.
  • Soo MS; Department of Radiology, Duke University Medical Center, Durham, NC, USA.
  • Hughes P; Department of Pharmacology and Cancer Biology, Duke University Medical Center, Durham, NC, USA.
  • Haystead T; Department of Pharmacology and Cancer Biology, Duke University Medical Center, Durham, NC, USA.
  • Ramanujam N; Department of Biomedical Engineering, Duke University, Durham, NC, USA.
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.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Biomarcadores Tumorais / Expressão Gênica / Técnicas de Diagnóstico Molecular / Proteínas de Choque Térmico Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Female / Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Biomarcadores Tumorais / Expressão Gênica / Técnicas de Diagnóstico Molecular / Proteínas de Choque Térmico Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Female / Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article