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Failure to fully understand the molecular expression and tumor heterogeneity across a patient’s tumor can lead to administration of ineffective therapies that increase patient morbidity and healthcare costs. The -omics era has made it possible to identify several new molecular markers involved in cancer development, survival, invasion and even predicting treatment response. We are developing an entirely new nano-based molecular imaging strategy that has the potential to offer both high content molecular expression and spatial profiling in a single histology image. We have created an expansive library of 26 SERS nanoparticle (NP) batches, each bearing a unique spectral fingerprint with exceptional multiplexing capabilities. Spectral deconvolution was successfully demonstrated with a mixture of all 26 SERS NPs in a single imaging pixel both in vitro and in vivo. This opens up new opportunities to efficiently interrogate the heterogeneous molecular expression found within and across patient tissues offering clinicians a new multiplexed molecular imaging tool with the potential to predict how well a patient is likely to respond to given therapies based on their unique profile.
Cristina L. Zavaleta
"Utilization of Raman nanoparticles for high-plex spatial proteomic imaging", Proc. SPIE PC12821, Visualizing and Quantifying Drug Distribution in Tissue VIII, PC128210A (13 March 2024); https://doi.org/10.1117/12.3008501
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Cristina L. Zavaleta, "Utilization of Raman nanoparticles for high-plex spatial proteomic imaging," Proc. SPIE PC12821, Visualizing and Quantifying Drug Distribution in Tissue VIII, PC128210A (13 March 2024); https://doi.org/10.1117/12.3008501