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An observational cohort study to evaluate the use of serum Raman spectroscopy in a rapid diagnosis center setting

Freya Woods, Sue Chandler, Natalia Sikora, Rachel Harford, Ahmad Souriti, Helen Gray, Heather Wilkes, Catherine Lloyd-Bennett, Dean Harris Orcid Logo, Peter Dunstan Orcid Logo

Clinical Spectroscopy, Volume: 4, Start page: 100020

Swansea University Authors: Freya Woods, Sue Chandler, Natalia Sikora, Dean Harris Orcid Logo, Peter Dunstan Orcid Logo

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Abstract

Cancer presenting with non-specific vague symptoms remains a clinical challenge. The purpose of this study was to assess the feasibility of serum Raman spectroscopy for cancer detection in a rapid diagnosis center (RDC) setting. The primary aim was to identify significant spectral peaks of change in...

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Published in: Clinical Spectroscopy
ISSN: 2666-0547
Published: Elsevier BV 2022
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spelling 2022-10-27T12:14:15.8788288 v2 59793 2022-04-11 An observational cohort study to evaluate the use of serum Raman spectroscopy in a rapid diagnosis center setting 51edc948e7d8ebd7d934c5cfad4e59f7 Freya Woods Freya Woods true false 87cf19295f2b42786e986b8ac013d481 Sue Chandler Sue Chandler true false b1e78a2c42b22116548c19230406d9b5 Natalia Sikora Natalia Sikora true false 731533890c5123febe4f65dffd369f7b 0000-0003-2673-8946 Dean Harris Dean Harris true false eada15d4d33fcb3dfddcff43f1323bd6 0000-0002-4337-4307 Peter Dunstan Peter Dunstan true false 2022-04-11 SPH Cancer presenting with non-specific vague symptoms remains a clinical challenge. The purpose of this study was to assess the feasibility of serum Raman spectroscopy for cancer detection in a rapid diagnosis center (RDC) setting. The primary aim was to identify significant spectral peaks of change in sera from cancer patients and the secondary aim was to assign molecular species at Raman peaks.In this prospective observation study of a secondary care RDC, patients referred with vague cancer-related symptoms were recruited. Raman spectra of blood sera of 54 patients was obtained. Of these, 10 patients were diagnosed with cancer, and 44 no significant pathology (control). Common spectral increase/decrease between control and cancer was seen in spectral peaks 830 cm−1, 878 cm−1, 1031 cm−1, 1174 cm−1, 1397 cm−1 tentatively attributed to amino acids, carbohydrates, fatty acids, and proteins. Individual differences between cancer and control via statistical analysis identifies 3 peaks with significance for all 10 of the cancer patients. The peaks are 878 cm−1, 1449 cm−1 and 1519 cm−1, tentatively attributed to proteins, amino acids, lipids, fatty acids, glycoproteins, carbohydrates, and carotenoids. Differences are also seen for at least 9 of the cancers in the peaks at 830 cm−1, 851 cm−1, 1127 cm−1, 1174 cm−1, 1270 cm−1, and 1656 cm−1, tentatively attributed to amino acids, lactate, lipids, triglycerides, carbohydrates, and proteins.Raman spectroscopy has the potential to enhance RDC referral criteria through the detection of peak differences seen commonly with different cancer types. Development of Artificial Intelligence (AI) based models could enable rapid detection and discrimination of different cancer types with more data availability. Journal Article Clinical Spectroscopy 4 100020 Elsevier BV 2666-0547 Raman Spectroscopy, Cancer, Rapid diagnosis, non-specific symptoms, Diagnostics 1 12 2022 2022-12-01 10.1016/j.clispe.2022.100020 http://dx.doi.org/10.1016/j.clispe.2022.100020 COLLEGE NANME Physics COLLEGE CODE SPH Swansea University SU Library paid the OA fee (TA Institutional Deal) This work was supported through Cancer Research Wales: Raman Spectroscopy and Colorectal Cancer: Transforming the USC Referral Pathway (Registered Charitable Incorporated Organization Number: 1167290). We are grateful to the RDC for facilitating access to their patients. We wish to acknowledge the input of Julie Hepburn and Ian Hills (of Health and Care Research Wales’ Public Involvement Community) for their patient involvement activities. 2022-10-27T12:14:15.8788288 2022-04-11T12:17:36.3973228 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Physics Freya Woods 1 Sue Chandler 2 Natalia Sikora 3 Rachel Harford 4 Ahmad Souriti 5 Helen Gray 6 Heather Wilkes 7 Catherine Lloyd-Bennett 8 Dean Harris 0000-0003-2673-8946 9 Peter Dunstan 0000-0002-4337-4307 10 59793__23803__29ec178a1e294c35badd2df22ffc75b9.pdf 59793.pdf 2022-04-11T12:35:17.2319150 Output 1447901 application/pdf Version of Record true © 2022 The Authors. This is an open access article under the CC BY-NC-ND license true eng http://creativecommons.org/licenses/by-nc-nd/4.0/
title An observational cohort study to evaluate the use of serum Raman spectroscopy in a rapid diagnosis center setting
spellingShingle An observational cohort study to evaluate the use of serum Raman spectroscopy in a rapid diagnosis center setting
Freya Woods
Sue Chandler
Natalia Sikora
Dean Harris
Peter Dunstan
title_short An observational cohort study to evaluate the use of serum Raman spectroscopy in a rapid diagnosis center setting
title_full An observational cohort study to evaluate the use of serum Raman spectroscopy in a rapid diagnosis center setting
title_fullStr An observational cohort study to evaluate the use of serum Raman spectroscopy in a rapid diagnosis center setting
title_full_unstemmed An observational cohort study to evaluate the use of serum Raman spectroscopy in a rapid diagnosis center setting
title_sort An observational cohort study to evaluate the use of serum Raman spectroscopy in a rapid diagnosis center setting
author_id_str_mv 51edc948e7d8ebd7d934c5cfad4e59f7
87cf19295f2b42786e986b8ac013d481
b1e78a2c42b22116548c19230406d9b5
731533890c5123febe4f65dffd369f7b
eada15d4d33fcb3dfddcff43f1323bd6
author_id_fullname_str_mv 51edc948e7d8ebd7d934c5cfad4e59f7_***_Freya Woods
87cf19295f2b42786e986b8ac013d481_***_Sue Chandler
b1e78a2c42b22116548c19230406d9b5_***_Natalia Sikora
731533890c5123febe4f65dffd369f7b_***_Dean Harris
eada15d4d33fcb3dfddcff43f1323bd6_***_Peter Dunstan
author Freya Woods
Sue Chandler
Natalia Sikora
Dean Harris
Peter Dunstan
author2 Freya Woods
Sue Chandler
Natalia Sikora
Rachel Harford
Ahmad Souriti
Helen Gray
Heather Wilkes
Catherine Lloyd-Bennett
Dean Harris
Peter Dunstan
format Journal article
container_title Clinical Spectroscopy
container_volume 4
container_start_page 100020
publishDate 2022
institution Swansea University
issn 2666-0547
doi_str_mv 10.1016/j.clispe.2022.100020
publisher Elsevier BV
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Biosciences, Geography and Physics - Physics{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Biosciences, Geography and Physics - Physics
url http://dx.doi.org/10.1016/j.clispe.2022.100020
document_store_str 1
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description Cancer presenting with non-specific vague symptoms remains a clinical challenge. The purpose of this study was to assess the feasibility of serum Raman spectroscopy for cancer detection in a rapid diagnosis center (RDC) setting. The primary aim was to identify significant spectral peaks of change in sera from cancer patients and the secondary aim was to assign molecular species at Raman peaks.In this prospective observation study of a secondary care RDC, patients referred with vague cancer-related symptoms were recruited. Raman spectra of blood sera of 54 patients was obtained. Of these, 10 patients were diagnosed with cancer, and 44 no significant pathology (control). Common spectral increase/decrease between control and cancer was seen in spectral peaks 830 cm−1, 878 cm−1, 1031 cm−1, 1174 cm−1, 1397 cm−1 tentatively attributed to amino acids, carbohydrates, fatty acids, and proteins. Individual differences between cancer and control via statistical analysis identifies 3 peaks with significance for all 10 of the cancer patients. The peaks are 878 cm−1, 1449 cm−1 and 1519 cm−1, tentatively attributed to proteins, amino acids, lipids, fatty acids, glycoproteins, carbohydrates, and carotenoids. Differences are also seen for at least 9 of the cancers in the peaks at 830 cm−1, 851 cm−1, 1127 cm−1, 1174 cm−1, 1270 cm−1, and 1656 cm−1, tentatively attributed to amino acids, lactate, lipids, triglycerides, carbohydrates, and proteins.Raman spectroscopy has the potential to enhance RDC referral criteria through the detection of peak differences seen commonly with different cancer types. Development of Artificial Intelligence (AI) based models could enable rapid detection and discrimination of different cancer types with more data availability.
published_date 2022-12-01T04:09:26Z
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