Breast-cancer detection using blood-based infrared molecular fingerprints

Abstract 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...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Kosmas V. Kepesidis, Masa Bozic-Iven, Marinus Huber, Nashwa Abdel-Aziz, Sharif Kullab, Ahmed Abdelwarith, Abdulrahman Al Diab, Mohammed Al Ghamdi, Muath Abu Hilal, Mohun R. K. Bahadoor, Abhishake Sharma, Farida Dabouz, Maria Arafah, Abdallah M. Azzeer, Ferenc Krausz, Khalid Alsaleh, Mihaela Zigman, Jean-Marc Nabholtz
Formato: article
Lenguaje:EN
Publicado: BMC 2021
Materias:
Acceso en línea:https://doaj.org/article/86f63562cf714b39822630151a6d4980
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:86f63562cf714b39822630151a6d4980
record_format dspace
spelling oai:doaj.org-article:86f63562cf714b39822630151a6d49802021-12-05T12:19:37ZBreast-cancer detection using blood-based infrared molecular fingerprints10.1186/s12885-021-09017-71471-2407https://doaj.org/article/86f63562cf714b39822630151a6d49802021-12-01T00:00:00Zhttps://doi.org/10.1186/s12885-021-09017-7https://doaj.org/toc/1471-2407Abstract 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.Kosmas V. KepesidisMasa Bozic-IvenMarinus HuberNashwa Abdel-AzizSharif KullabAhmed AbdelwarithAbdulrahman Al DiabMohammed Al GhamdiMuath Abu HilalMohun R. K. BahadoorAbhishake SharmaFarida DabouzMaria ArafahAbdallah M. AzzeerFerenc KrauszKhalid AlsalehMihaela ZigmanJean-Marc NabholtzBMCarticleBreast cancerInfrared spectroscopyLiquid biopsyNeoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282ENBMC Cancer, Vol 21, Iss 1, Pp 1-9 (2021)
institution DOAJ
collection DOAJ
language EN
topic Breast cancer
Infrared spectroscopy
Liquid biopsy
Neoplasms. Tumors. Oncology. Including cancer and carcinogens
RC254-282
spellingShingle Breast cancer
Infrared spectroscopy
Liquid biopsy
Neoplasms. Tumors. Oncology. Including cancer and carcinogens
RC254-282
Kosmas V. Kepesidis
Masa Bozic-Iven
Marinus Huber
Nashwa Abdel-Aziz
Sharif Kullab
Ahmed Abdelwarith
Abdulrahman Al Diab
Mohammed Al Ghamdi
Muath Abu Hilal
Mohun R. K. Bahadoor
Abhishake Sharma
Farida Dabouz
Maria Arafah
Abdallah M. Azzeer
Ferenc Krausz
Khalid Alsaleh
Mihaela Zigman
Jean-Marc Nabholtz
Breast-cancer detection using blood-based infrared molecular fingerprints
description Abstract 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.
format article
author Kosmas V. Kepesidis
Masa Bozic-Iven
Marinus Huber
Nashwa Abdel-Aziz
Sharif Kullab
Ahmed Abdelwarith
Abdulrahman Al Diab
Mohammed Al Ghamdi
Muath Abu Hilal
Mohun R. K. Bahadoor
Abhishake Sharma
Farida Dabouz
Maria Arafah
Abdallah M. Azzeer
Ferenc Krausz
Khalid Alsaleh
Mihaela Zigman
Jean-Marc Nabholtz
author_facet Kosmas V. Kepesidis
Masa Bozic-Iven
Marinus Huber
Nashwa Abdel-Aziz
Sharif Kullab
Ahmed Abdelwarith
Abdulrahman Al Diab
Mohammed Al Ghamdi
Muath Abu Hilal
Mohun R. K. Bahadoor
Abhishake Sharma
Farida Dabouz
Maria Arafah
Abdallah M. Azzeer
Ferenc Krausz
Khalid Alsaleh
Mihaela Zigman
Jean-Marc Nabholtz
author_sort Kosmas V. Kepesidis
title Breast-cancer detection using blood-based infrared molecular fingerprints
title_short 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_sort breast-cancer detection using blood-based infrared molecular fingerprints
publisher BMC
publishDate 2021
url https://doaj.org/article/86f63562cf714b39822630151a6d4980
work_keys_str_mv AT kosmasvkepesidis breastcancerdetectionusingbloodbasedinfraredmolecularfingerprints
AT masaboziciven breastcancerdetectionusingbloodbasedinfraredmolecularfingerprints
AT marinushuber breastcancerdetectionusingbloodbasedinfraredmolecularfingerprints
AT nashwaabdelaziz breastcancerdetectionusingbloodbasedinfraredmolecularfingerprints
AT sharifkullab breastcancerdetectionusingbloodbasedinfraredmolecularfingerprints
AT ahmedabdelwarith breastcancerdetectionusingbloodbasedinfraredmolecularfingerprints
AT abdulrahmanaldiab breastcancerdetectionusingbloodbasedinfraredmolecularfingerprints
AT mohammedalghamdi breastcancerdetectionusingbloodbasedinfraredmolecularfingerprints
AT muathabuhilal breastcancerdetectionusingbloodbasedinfraredmolecularfingerprints
AT mohunrkbahadoor breastcancerdetectionusingbloodbasedinfraredmolecularfingerprints
AT abhishakesharma breastcancerdetectionusingbloodbasedinfraredmolecularfingerprints
AT faridadabouz breastcancerdetectionusingbloodbasedinfraredmolecularfingerprints
AT mariaarafah breastcancerdetectionusingbloodbasedinfraredmolecularfingerprints
AT abdallahmazzeer breastcancerdetectionusingbloodbasedinfraredmolecularfingerprints
AT ferenckrausz breastcancerdetectionusingbloodbasedinfraredmolecularfingerprints
AT khalidalsaleh breastcancerdetectionusingbloodbasedinfraredmolecularfingerprints
AT mihaelazigman breastcancerdetectionusingbloodbasedinfraredmolecularfingerprints
AT jeanmarcnabholtz breastcancerdetectionusingbloodbasedinfraredmolecularfingerprints
_version_ 1718372027627208704