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

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

doi:10.1016/j.clispe.2022.100020

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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

, Peter Dunstan

Clinical Spectroscopy, Volume: 4, Start page: 100020

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

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DOI (Published version): 10.1016/j.clispe.2022.100020

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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URI:	https://cronfa.swan.ac.uk/Record/cronfa59793
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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.</abstract><type>Journal Article</type><journal>Clinical Spectroscopy</journal><volume>4</volume><journalNumber/><paginationStart>100020</paginationStart><paginationEnd/><publisher>Elsevier BV</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>2666-0547</issnPrint><issnElectronic/><keywords>Raman Spectroscopy, Cancer, Rapid diagnosis, non-specific symptoms, Diagnostics</keywords><publishedDay>1</publishedDay><publishedMonth>12</publishedMonth><publishedYear>2022</publishedYear><publishedDate>2022-12-01</publishedDate><doi>10.1016/j.clispe.2022.100020</doi><url>http://dx.doi.org/10.1016/j.clispe.2022.100020</url><notes/><college>COLLEGE NANME</college><department>Physics</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>SPH</DepartmentCode><institution>Swansea University</institution><apcterm>SU Library paid the OA fee (TA Institutional Deal)</apcterm><funders>This work was supported through Cancer Research Wales: Raman Spectroscopy and Colorectal Cancer: Transforming the USC Referral Pathway (Registered Charitable Incorporated Organization Number: 1167290). 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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
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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
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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	2022-12-01T04:17:22Z
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An observational cohort study to evaluate the use of serum Raman spectroscopy in a rapid diagnosis center setting

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