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Breast-cancer detection using blood-based infrared molecular fingerprints

BACKGROUND: Breast cancer screening is currently predominantly based on mammography, tainted with the occurrence of both false positivity and false negativity, urging for innovative strategies, as effective detection of early-stage breast cancer bears the potential to reduce mortality. Here we repor...

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Autores principales: Kepesidis, Kosmas V., Bozic-Iven, Masa, Huber, Marinus, Abdel-Aziz, Nashwa, Kullab, Sharif, Abdelwarith, Ahmed, Al Diab, Abdulrahman, Al Ghamdi, Mohammed, Hilal, Muath Abu, Bahadoor, Mohun R. K., Sharma, Abhishake, Dabouz, Farida, Arafah, Maria, Azzeer, Abdallah M., Krausz, Ferenc, Alsaleh, Khalid, Zigman, Mihaela, Nabholtz, Jean-Marc
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8638519/
https://www.ncbi.nlm.nih.gov/pubmed/34856945
http://dx.doi.org/10.1186/s12885-021-09017-7
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author Kepesidis, Kosmas V.
Bozic-Iven, Masa
Huber, Marinus
Abdel-Aziz, Nashwa
Kullab, Sharif
Abdelwarith, Ahmed
Al Diab, Abdulrahman
Al Ghamdi, Mohammed
Hilal, Muath Abu
Bahadoor, Mohun R. K.
Sharma, Abhishake
Dabouz, Farida
Arafah, Maria
Azzeer, Abdallah M.
Krausz, Ferenc
Alsaleh, Khalid
Zigman, Mihaela
Nabholtz, Jean-Marc
author_facet Kepesidis, Kosmas V.
Bozic-Iven, Masa
Huber, Marinus
Abdel-Aziz, Nashwa
Kullab, Sharif
Abdelwarith, Ahmed
Al Diab, Abdulrahman
Al Ghamdi, Mohammed
Hilal, Muath Abu
Bahadoor, Mohun R. K.
Sharma, Abhishake
Dabouz, Farida
Arafah, Maria
Azzeer, Abdallah M.
Krausz, Ferenc
Alsaleh, Khalid
Zigman, Mihaela
Nabholtz, Jean-Marc
author_sort Kepesidis, Kosmas V.
collection PubMed
description BACKGROUND: Breast cancer screening is currently predominantly based on mammography, tainted with the occurrence of both false positivity and false negativity, urging for innovative strategies, as effective detection of early-stage breast cancer bears the potential to reduce mortality. Here we report the results of a prospective pilot study on breast cancer detection using blood plasma analyzed by Fourier-transform infrared (FTIR) spectroscopy – a rapid, cost-effective technique with minimal sample volume requirements and potential to aid biomedical diagnostics. FTIR has the capacity to probe health phenotypes via the investigation of the full repertoire of molecular species within a sample at once, within a single measurement in a high-throughput manner. In this study, we take advantage of cross-molecular fingerprinting to probe for breast cancer detection. METHODS: We compare two groups: 26 patients diagnosed with breast cancer to a same-sized group of age-matched healthy, asymptomatic female participants. Training with support-vector machines (SVM), we derive classification models that we test in a repeated 10-fold cross-validation over 10 times. In addition, we investigate spectral information responsible for BC identification using statistical significance testing. RESULTS: Our models to detect breast cancer achieve an average overall performance of 0.79 in terms of area under the curve (AUC) of the receiver operating characteristic (ROC). In addition, we uncover a relationship between the effect size of the measured infrared fingerprints and the tumor progression. CONCLUSION: This pilot study provides the foundation for further extending and evaluating blood-based infrared probing approach as a possible cross-molecular fingerprinting modality to tackle breast cancer detection and thus possibly contribute to the future of cancer screening. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-021-09017-7.
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spelling pubmed-86385192021-12-03 Breast-cancer detection using blood-based infrared molecular fingerprints Kepesidis, Kosmas V. Bozic-Iven, Masa Huber, Marinus Abdel-Aziz, Nashwa Kullab, Sharif Abdelwarith, Ahmed Al Diab, Abdulrahman Al Ghamdi, Mohammed Hilal, Muath Abu Bahadoor, Mohun R. K. Sharma, Abhishake Dabouz, Farida Arafah, Maria Azzeer, Abdallah M. Krausz, Ferenc Alsaleh, Khalid Zigman, Mihaela Nabholtz, Jean-Marc BMC Cancer Research BACKGROUND: Breast cancer screening is currently predominantly based on mammography, tainted with the occurrence of both false positivity and false negativity, urging for innovative strategies, as effective detection of early-stage breast cancer bears the potential to reduce mortality. Here we report the results of a prospective pilot study on breast cancer detection using blood plasma analyzed by Fourier-transform infrared (FTIR) spectroscopy – a rapid, cost-effective technique with minimal sample volume requirements and potential to aid biomedical diagnostics. FTIR has the capacity to probe health phenotypes via the investigation of the full repertoire of molecular species within a sample at once, within a single measurement in a high-throughput manner. In this study, we take advantage of cross-molecular fingerprinting to probe for breast cancer detection. METHODS: We compare two groups: 26 patients diagnosed with breast cancer to a same-sized group of age-matched healthy, asymptomatic female participants. Training with support-vector machines (SVM), we derive classification models that we test in a repeated 10-fold cross-validation over 10 times. In addition, we investigate spectral information responsible for BC identification using statistical significance testing. RESULTS: Our models to detect breast cancer achieve an average overall performance of 0.79 in terms of area under the curve (AUC) of the receiver operating characteristic (ROC). In addition, we uncover a relationship between the effect size of the measured infrared fingerprints and the tumor progression. CONCLUSION: This pilot study provides the foundation for further extending and evaluating blood-based infrared probing approach as a possible cross-molecular fingerprinting modality to tackle breast cancer detection and thus possibly contribute to the future of cancer screening. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-021-09017-7. BioMed Central 2021-12-02 /pmc/articles/PMC8638519/ /pubmed/34856945 http://dx.doi.org/10.1186/s12885-021-09017-7 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Kepesidis, Kosmas V.
Bozic-Iven, Masa
Huber, Marinus
Abdel-Aziz, Nashwa
Kullab, Sharif
Abdelwarith, Ahmed
Al Diab, Abdulrahman
Al Ghamdi, Mohammed
Hilal, Muath Abu
Bahadoor, Mohun R. K.
Sharma, Abhishake
Dabouz, Farida
Arafah, Maria
Azzeer, Abdallah M.
Krausz, Ferenc
Alsaleh, Khalid
Zigman, Mihaela
Nabholtz, Jean-Marc
Breast-cancer detection using blood-based infrared molecular fingerprints
title Breast-cancer detection using blood-based infrared molecular fingerprints
title_full Breast-cancer detection using blood-based infrared molecular fingerprints
title_fullStr Breast-cancer detection using blood-based infrared molecular fingerprints
title_full_unstemmed Breast-cancer detection using blood-based infrared molecular fingerprints
title_short Breast-cancer detection using blood-based infrared molecular fingerprints
title_sort breast-cancer detection using blood-based infrared molecular fingerprints
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8638519/
https://www.ncbi.nlm.nih.gov/pubmed/34856945
http://dx.doi.org/10.1186/s12885-021-09017-7
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