Exploiting heat shock protein expression to develop a non-invasive diagnostic tool for breast cancer.
Biomarkers, Tumor
Breast Neoplasms
/ diagnosis
Cell Line, Tumor
Cell Membrane
/ metabolism
Female
Gene Expression
HSP90 Heat-Shock Proteins
/ genetics
Heat-Shock Proteins
/ antagonists & inhibitors
Humans
Immunohistochemistry
Ligands
Molecular Diagnostic Techniques
/ methods
Molecular Imaging
Optical Imaging
ROC Curve
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
05 03 2019
05 03 2019
Historique:
received:
19
09
2018
accepted:
12
02
2019
entrez:
7
3
2019
pubmed:
7
3
2019
medline:
25
9
2020
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 30837677
doi: 10.1038/s41598-019-40252-y
pii: 10.1038/s41598-019-40252-y
pmc: PMC6400939
doi:
Substances chimiques
Biomarkers, Tumor
0
HSP90 Heat-Shock Proteins
0
Heat-Shock Proteins
0
Ligands
0
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
3461Subventions
Organisme : NIBIB NIH HHS
ID : R21 EB025008
Pays : United States
Organisme : NIBIB NIH HHS
ID : T32 EB001040
Pays : United States
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