Automatic and objective oral cancer diagnosis by Raman spectroscopic detection of keratin with multivariate curve resolution analysis

Scientific Reports
Po-Hsiung ChenHiro-o Hamaguchi

Abstract

We have developed an automatic and objective method for detecting human oral squamous cell carcinoma (OSCC) tissues with Raman microspectroscopy. We measure 196 independent Raman spectra from 196 different points of one oral tissue sample and globally analyze these spectra using a Multivariate Curve Resolution (MCR) analysis. Discrimination of OSCC tissues is automatically and objectively made by spectral matching comparison of the MCR decomposed Raman spectra and the standard Raman spectrum of keratin, a well-established molecular marker of OSCC. We use a total of 24 tissue samples, 10 OSCC and 10 normal tissues from the same 10 patients, 3 OSCC and 1 normal tissues from different patients. Following the newly developed protocol presented here, we have been able to detect OSCC tissues with 77 to 92% sensitivity (depending on how to define positivity) and 100% specificity. The present approach lends itself to a reliable clinical diagnosis of OSCC substantiated by the "molecular fingerprint" of keratin.

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Citations

Jan 11, 2017·Analytical Sciences : the International Journal of the Japan Society for Analytical Chemistry·Hemanth NoothalapatiTatsuyuki Yamamoto
Jun 20, 2017·Analytical Chemistry·Sohshi Yabumoto, Hiro-O Hamaguchi
Nov 8, 2018·The Analyst·Luis Felipe das Chagas E Silva de Carvalho, Marcelo Saito Nogueira
Feb 6, 2019·Journal of Biophotonics·Aditi SahuC Murali Krishna
Dec 1, 2017·Biomedical Optics Express·Luis Felipe C S CarvalhoAirton A Martin
Oct 12, 2019·Scientific Reports·Willie C ZúñigaMichael C Storrie-Lombardi
Aug 30, 2019·Journal of Clinical Medicine·Ming-Jer JengLee Chow
Nov 4, 2017·The Analyst·Marcus T Cicerone, Charles H Camp
Jul 12, 2020·Communications Biology·Ashok Zachariah SamuelHaruko Takeyama
Mar 9, 2021·Biomedical Optics Express·Levi MatthiesChristian Knipfer

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Methods Mentioned

BETA
Raman spectroscopy
PCA

Software Mentioned

UNED
ALS
MCR

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