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Breast Cancer Detection by B7-H3-Targeted Ultrasound Molecular Imaging. | LitMetric

AI Article Synopsis

  • * A new method using contrast-enhanced ultrasound with microbubbles aimed at tumor blood vessel signals could help improve diagnostic precision by targeting a molecule called B7-H3.
  • * Research shows that B7-H3 levels are higher in breast cancer tissues, making it possible to differentiate between benign and malignant lesions accurately, providing a promising new approach for breast cancer detection.

Article Abstract

Ultrasound complements mammography as an imaging modality for breast cancer detection, especially in patients with dense breast tissue, but its utility is limited by low diagnostic accuracy. One emerging molecular tool to address this limitation involves contrast-enhanced ultrasound using microbubbles targeted to molecular signatures on tumor neovasculature. In this study, we illustrate how tumor vascular expression of B7-H3 (CD276), a member of the B7 family of ligands for T-cell coregulatory receptors, can be incorporated into an ultrasound method that can distinguish normal, benign, precursor, and malignant breast pathologies for diagnostic purposes. Through an IHC analysis of 248 human breast specimens, we found that vascular expression of B7-H3 was selectively and significantly higher in breast cancer tissues. B7-H3 immunostaining on blood vessels distinguished benign/precursors from malignant lesions with high diagnostic accuracy in human specimens. In a transgenic mouse model of cancer, the B7-H3-targeted ultrasound imaging signal was increased significantly in breast cancer tissues and highly correlated with ex vivo expression levels of B7-H3 on quantitative immunofluorescence. Our findings offer a preclinical proof of concept for the use of B7-H3-targeted ultrasound molecular imaging as a tool to improve the diagnostic accuracy of breast cancer detection in patients.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4470725PMC
http://dx.doi.org/10.1158/0008-5472.CAN-14-3361DOI Listing

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