Cargando…
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...
Autores principales: | , , , , , , , , , , , , , , , , , |
---|---|
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 |
_version_ | 1784608957597220864 |
---|---|
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. |
format | Online Article Text |
id | pubmed-8638519 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT kepesidiskosmasv breastcancerdetectionusingbloodbasedinfraredmolecularfingerprints AT bozicivenmasa breastcancerdetectionusingbloodbasedinfraredmolecularfingerprints AT hubermarinus breastcancerdetectionusingbloodbasedinfraredmolecularfingerprints AT abdelaziznashwa breastcancerdetectionusingbloodbasedinfraredmolecularfingerprints AT kullabsharif breastcancerdetectionusingbloodbasedinfraredmolecularfingerprints AT abdelwarithahmed breastcancerdetectionusingbloodbasedinfraredmolecularfingerprints AT aldiababdulrahman breastcancerdetectionusingbloodbasedinfraredmolecularfingerprints AT alghamdimohammed breastcancerdetectionusingbloodbasedinfraredmolecularfingerprints AT hilalmuathabu breastcancerdetectionusingbloodbasedinfraredmolecularfingerprints AT bahadoormohunrk breastcancerdetectionusingbloodbasedinfraredmolecularfingerprints AT sharmaabhishake breastcancerdetectionusingbloodbasedinfraredmolecularfingerprints AT dabouzfarida breastcancerdetectionusingbloodbasedinfraredmolecularfingerprints AT arafahmaria breastcancerdetectionusingbloodbasedinfraredmolecularfingerprints AT azzeerabdallahm breastcancerdetectionusingbloodbasedinfraredmolecularfingerprints AT krauszferenc breastcancerdetectionusingbloodbasedinfraredmolecularfingerprints AT alsalehkhalid breastcancerdetectionusingbloodbasedinfraredmolecularfingerprints AT zigmanmihaela breastcancerdetectionusingbloodbasedinfraredmolecularfingerprints AT nabholtzjeanmarc breastcancerdetectionusingbloodbasedinfraredmolecularfingerprints |