SERS-Based Quantification of PSMA in Tissue Microarrays
Allows Effective Stratification of Patients with Prostate Cancer
Posted on 2018-12-06 - 09:16
Prostate
specific membrane antigen (PSMA), a type II membrane protein,
is an attractive biomarker that has been validated clinically for
the diagnosis of prostate cancer. In this study, we developed surface-enhanced
Raman scattering (SERS) nanoprobes for PSMA detection and quantification
at the single-cell level on prostate cancer cells. The cells were
targeted employing SERS nanoprobes that consisted of gold nanostars
functionalized with PSMA aptamer molecules. We were able to quantify
picomolar concentrations of soluble PSMA protein and used the resulting
calibration curve to estimate the expression of PSMA on the surface
of the prostate cancer cell, LNCaP, at the single-cell level. Importantly,
we employed these SERS tags to stratify prostate cancer patients by
assessing PSMA expression in tissues contained in a prostate tissue
microarray. The stratification results clearly correlated PSMA expression
to recommended therapy groups, rendering the described method as an
effective tool to aid in designing personalized therapeutic protocols.
Benchmarking detection sensitivity against immunofluorescence staining
and comparing stratification results obtained with the two methods
allowed us to validate our novel approach against standard practices.
On the basis of these results, we confirm the validity of PSMA as
an effective biomarker for prostate cancer patient evaluation and
propose SERS-based diagnostic techniques as integrative methods for
the assessment of disease stage and the identification of effective
therapeutic protocols.
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Bhamidipati, Manjari; Lee, Geuntaek; Kim, Isaac; Fabris, Laura (2018). SERS-Based Quantification of PSMA in Tissue Microarrays
Allows Effective Stratification of Patients with Prostate Cancer. ACS Publications. Collection. https://doi.org/10.1021/acsomega.8b01839
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AUTHORS (4)
MB
Manjari Bhamidipati
GL
Geuntaek Lee
IK
Isaac Kim
LF
Laura Fabris
KEYWORDS
prostate cancer cellprostate cancer patient evaluationgold nanostars functionalizedPSMA expressionstratification resultsprostate tissue microarrayProstate Cancer Prostateprostate cancer cellsBenchmarking detection sensitivitySERStype II membrane proteinprostate cancer patientsPSMA aptamer moleculesTissue Microarrays Allows