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A pilot study for distinguishing basal cell carcinoma from normal human skin tissues using visible resonance Raman spectroscopy

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Journal of Cancer Metastasis and Treatment 2019年第1期4卷 41-54页

作者： Cheng-hui Liu Binlin Wu laura asordillo Susie Boydston-White Vidyasagar Sriramoju ChunyuanZhang Hugh Beckman Lin Zhang Zhe Pei Lingyan Shi Robert RAlfano Institute for Ultrafast Spectroscopy and Lasers The City College of the City University of New YorkNew YorkNY 10031USA Physics Department and CSCU Center for Nanotechnology Southern Connecticut State UniversityNew HavenCT 06515USA Department of Electrical Engineering The Grove School of EngineeringThe City College of the City University of New YorkNew YorkNY 10031USA Science Department City University of New YorkBorough of Manhattan Community CollegeNew YorkNY 10007-1097USA Bermuda Village Dr. Boca RatonFlorida 33487-1041USA517150 Department of Chemistry Columbia UniversityNew YorkNY 10027USA

Aim: The aim of the study is to test visible resonance Raman (VRR) spectroscopy for rapid skin cancer diagnosis,and evaluate its effectiveness as a new optical biopsy method to distinguish basal cell carcinoma (BCC) from normal skin ***: The VRR spectroscopic technique was undertaken using 532 nm excitation. Normal and BCC human skin tissue samples were measured in seconds. The molecular fingerprints of various native biomolecules as biomarkers were analyzed. A principal component analysis - support vector machine (PCA-SVM) statistical analysis method based on the molecular fingerprints was developed for differentiating BCC from normal skin ***: VRR provides a rapid method and enhanced Raman signals from biomolecules with resonant and nearresonant absorption bands as compared with using a near-infrared excitation light source. The VRR technique revealed chemical composition changes of native biomarkers such as tryptophan, carotenoids, lipids and *** VRR spectra from BCC samples showed a strong enhancement in proteins including collagen type I combined with amide I and amino acids, and a decrease in carotenoids and lipids. The PCA-SVM statistical analysis based on the molecular fingerprints of the biomarkers yielded a 93.0% diagnostic sensitivity, 100% specificity, and 94.5%accuracy compared with histopathology ***: VRR can enhance molecular vibrational modes of various native biomarkers to allow for very fast display of Raman modes in seconds. It may be used as a label-free molecular pathology method for diagnosis of skin cancer and other diseases and be used for combined treatment with Mohs surgery for BCC.

关键词： Visible resonance Raman spectroscopy human skin basal cell carcinoma principal componentanalysis supports vector machine molecular fingerprints tryptophan carotenoids

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