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2017 ; 8
(6
): 2835-2850
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Raman active components of skin cancer
#MMPMID28663910
Feng X
; Moy AJ
; Nguyen HTM
; Zhang J
; Fox MC
; Sebastian KR
; Reichenberg JS
; Markey MK
; Tunnell JW
Biomed Opt Express
2017[Jun]; 8
(6
): 2835-2850
PMID28663910
show ga
Raman spectroscopy (RS) has shown great potential in noninvasive cancer
screening. Statistically based algorithms, such as principal component analysis,
are commonly employed to provide tissue classification; however, they are
difficult to relate to the chemical and morphological basis of the spectroscopic
features and underlying disease. As a result, we propose the first Raman
biophysical model applied to in vivo skin cancer screening data. We expand upon
previous models by utilizing in situ skin constituents as the building blocks,
and validate the model using previous clinical screening data collected from a
Raman optical fiber probe. We built an 830nm confocal Raman microscope integrated
with a confocal laser-scanning microscope. Raman imaging was performed on skin
sections spanning various disease states, and multivariate curve resolution (MCR)
analysis was used to resolve the Raman spectra of individual in situ skin
constituents. The basis spectra of the most relevant skin constituents were
combined linearly to fit in vivo human skin spectra. Our results suggest
collagen, elastin, keratin, cell nucleus, triolein, ceramide, melanin and water
are the most important model components. We make available for download (see
supplemental information) a database of Raman spectra for these eight components
for others to use as a reference. Our model reveals the biochemical and
structural makeup of normal, nonmelanoma and melanoma skin cancers, and
precancers and paves the way for future development of this approach to
noninvasive skin cancer diagnosis.
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