Use of sensitive, non-destructive and straightforward 3D SERS for investigating the cellular uptake processes of functionalised nanotags in entire cell volume.
Breast cancer is
one of the leading causes of cancer death in women.
Novel in vitro tools that integrate three-dimensional (3D) tumor models with highly sensitive
chemical reporters can provide useful information to aid biological
characterization of cancer phenotype and understanding of drug activity.
The combination of surface-enhanced Raman scattering (SERS) techniques
with microfluidic technologies offers new opportunities for highly
selective, specific, and multiplexed nanoparticle-based assays. Here,
we explored the use of functionalized nanoparticles for the detection
of estrogen receptor alpha (ERα) expression in a 3D tumor model,
using the ERα-positive human breast cancer cell line MCF-7.
This approach was used to compare targeted versus nontargeted nanoparticle
interactions with the tumor model to better understand whether targeted
nanotags are required to efficiently target ERα. Mixtures of
targeted anti-ERα antibody-functionalized nanotags (ERα-AuNPs)
and nontargeted (against ERα) anti-human epidermal growth factor
receptor 2 (HER2) antibody-functionalized nanotags (HER2-AuNPs), with
different Raman reporters with a similar SERS signal intensity, were
incubated with MCF-7 spheroids in microfluidic devices and spectroscopically
analyzed using SERS. MCF-7 cells express high levels of ERα
and no detectable levels of HER2. 2D and 3D SERS measurements confirmed
the strong targeting effect of ERα-AuNP nanotags to the MCF-7
spheroids in contrast to HER2-AuNPs (63% signal reduction). Moreover,
3D SERS measurements confirmed the differentiation between the targeted
and the nontargeted nanotags. Finally, we demonstrated how nanotag
uptake by MCF-7 spheroids was affected by the drug fulvestrant, the
first-in-class approved selective estrogen receptor degrader (SERD).
These results illustrate the potential of using SERS and microfluidics
as a powerful in vitro platform for the characterization of 3D tumor
models and the investigation of SERD activity.
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