Picosecond Infrared Laser Mass Spectrometry Identifies a Metabolite Array for 10 s Diagnosis of Select Skin Cancer Types: A Proof-of-Concept Feasibility Study
| Autor: | Lauren Katz, Michael Woolman, Taira Kiyota, Layla Pires, Mark Zaidi, Stefan O.P. Hofer, Wey Leong, Brad G. Wouters, Danny Ghazarian, An-Wen Chan, Howard J. Ginsberg, Ahmed Aman, Brian C. Wilson, Hal K. Berman, Arash Zarrine-Afsar |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Analytical Chemistry. 94:16821-16830 |
| ISSN: | 1520-6882 0003-2700 |
| DOI: | 10.1021/acs.analchem.2c03918 |
| Popis: | Currently, a large number of skin biopsies are taken for each true skin cancer case detected, creating a need for a rapid, high sensitivity, and specificity skin cancer detection tool to reduce the number of unnecessary biopsies taken from benign tissue. Picosecond infrared laser mass spectrometry (PIRL-MS) using a hand-held sampling probe is reported to detect and classify melanoma, squamous cell carcinoma, and normal skin with average sensitivity and specificity values of 86-95% and 91-98%, respectively (at a 95% confidence level) solely requiring 10 s or less of total data collection and analysis time. Classifications are not adversely affected by specimen's quantity of melanin pigments and are mediated by a number of metabolic lipids, further identified herein as potential biomarkers for skin cancer-type differentiation, 19 of which were sufficient here (as a fully characterized metabolite array) to provide high specificity and sensitivity classification of skin cancer types. |
| Databáze: | OpenAIRE |
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