On-chip Raman spectroscopy of live single cells for the staging of oesophageal adenocarcinoma progression

Abstract The absence of early diagnosis contributes to oesophageal cancer being the sixth most common cause of global cancer-associated deaths, with a 5-year survival rate of < 20%. Barrett’s oesophagus is the main pre-cancerous condition to adenocarcinoma development, characterised by the morpho...

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Main Authors: Alisha Farooq, Christopher D. Wood, John E. Ladbury, Stephen D. Evans
Format: Article
Language:English
Published: Nature Portfolio 2024-01-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-024-52079-3
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author Alisha Farooq
Christopher D. Wood
John E. Ladbury
Stephen D. Evans
author_facet Alisha Farooq
Christopher D. Wood
John E. Ladbury
Stephen D. Evans
author_sort Alisha Farooq
collection DOAJ
description Abstract The absence of early diagnosis contributes to oesophageal cancer being the sixth most common cause of global cancer-associated deaths, with a 5-year survival rate of < 20%. Barrett’s oesophagus is the main pre-cancerous condition to adenocarcinoma development, characterised by the morphological transition of oesophageal squamous epithelium to metaplastic columnar epithelium. Early tracking and treatment of oesophageal adenocarcinoma could dramatically improve with diagnosis and monitoring of patients with Barrett’s Oesophagus. Current diagnostic methods involve invasive techniques such as endoscopies and, with only a few identified biomarkers of disease progression, the detection of oesophageal adenocarcinoma is costly and challenging. In this work, single-cell Raman spectroscopy was combined with microfluidic techniques to characterise the development of oesophageal adenocarcinoma through the progression of healthy epithelial, Barrett’s oesophagus and oesophageal adenocarcinoma cell lines. Principal component analysis and linear discriminant analysis were used to classify the different stages of cancer progression. with the ability to differentiate between healthy and cancerous cells with an accuracy of 97%. Whilst the approach could also separate the dysplastic stages from healthy or cancer with high accuracy—the intra-class separation was approximately 68%. Overall, these results highlight the potential for rapid and reliable diagnostic/prognostic screening of Barrett’s Oesophagus patients.
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spelling doaj.art-2b42123cac1448689595e1ccc6a4c8042024-01-21T12:18:21ZengNature PortfolioScientific Reports2045-23222024-01-011411910.1038/s41598-024-52079-3On-chip Raman spectroscopy of live single cells for the staging of oesophageal adenocarcinoma progressionAlisha Farooq0Christopher D. Wood1John E. Ladbury2Stephen D. Evans3School of Physics and Astronomy, University of LeedsSchool of Electronic and Electrical Engineering, University of LeedsSchool of Molecular and Cellular Biology, University of LeedsSchool of Physics and Astronomy, University of LeedsAbstract The absence of early diagnosis contributes to oesophageal cancer being the sixth most common cause of global cancer-associated deaths, with a 5-year survival rate of < 20%. Barrett’s oesophagus is the main pre-cancerous condition to adenocarcinoma development, characterised by the morphological transition of oesophageal squamous epithelium to metaplastic columnar epithelium. Early tracking and treatment of oesophageal adenocarcinoma could dramatically improve with diagnosis and monitoring of patients with Barrett’s Oesophagus. Current diagnostic methods involve invasive techniques such as endoscopies and, with only a few identified biomarkers of disease progression, the detection of oesophageal adenocarcinoma is costly and challenging. In this work, single-cell Raman spectroscopy was combined with microfluidic techniques to characterise the development of oesophageal adenocarcinoma through the progression of healthy epithelial, Barrett’s oesophagus and oesophageal adenocarcinoma cell lines. Principal component analysis and linear discriminant analysis were used to classify the different stages of cancer progression. with the ability to differentiate between healthy and cancerous cells with an accuracy of 97%. Whilst the approach could also separate the dysplastic stages from healthy or cancer with high accuracy—the intra-class separation was approximately 68%. Overall, these results highlight the potential for rapid and reliable diagnostic/prognostic screening of Barrett’s Oesophagus patients.https://doi.org/10.1038/s41598-024-52079-3
spellingShingle Alisha Farooq
Christopher D. Wood
John E. Ladbury
Stephen D. Evans
On-chip Raman spectroscopy of live single cells for the staging of oesophageal adenocarcinoma progression
Scientific Reports
title On-chip Raman spectroscopy of live single cells for the staging of oesophageal adenocarcinoma progression
title_full On-chip Raman spectroscopy of live single cells for the staging of oesophageal adenocarcinoma progression
title_fullStr On-chip Raman spectroscopy of live single cells for the staging of oesophageal adenocarcinoma progression
title_full_unstemmed On-chip Raman spectroscopy of live single cells for the staging of oesophageal adenocarcinoma progression
title_short On-chip Raman spectroscopy of live single cells for the staging of oesophageal adenocarcinoma progression
title_sort on chip raman spectroscopy of live single cells for the staging of oesophageal adenocarcinoma progression
url https://doi.org/10.1038/s41598-024-52079-3
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