Infrared molecular fingerprinting of blood-based liquid biopsies for the detection of cancer

Recent omics analyses of human biofluids provide opportunities to probe selected species of biomolecules for disease diagnostics. Fourier-transform infrared (FTIR) spectroscopy investigates the full repertoire of molecular species within a sample at once. Here, we present a multi-institutional study...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Marinus Huber, Kosmas V Kepesidis, Liudmila Voronina, Frank Fleischmann, Ernst Fill, Jacqueline Hermann, Ina Koch, Katrin Milger-Kneidinger, Thomas Kolben, Gerald B Schulz, Friedrich Jokisch, Jürgen Behr, Nadia Harbeck, Maximilian Reiser, Christian Stief, Ferenc Krausz, Mihaela Zigman
Formato:	article
Lenguaje:	EN
Publicado:	eLife Sciences Publications Ltd 2021
Materias:	infrared spectroscopy liquid biopsy cancer detection phenotyping Medicine R Science Q Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/eaad08e071b84de89e14ee30b1aa50b7
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:eaad08e071b84de89e14ee30b1aa50b7
record_format	dspace
spelling	oai:doaj.org-article:eaad08e071b84de89e14ee30b1aa50b72021-11-25T12:33:48ZInfrared molecular fingerprinting of blood-based liquid biopsies for the detection of cancer10.7554/eLife.687582050-084Xe68758https://doaj.org/article/eaad08e071b84de89e14ee30b1aa50b72021-10-01T00:00:00Zhttps://elifesciences.org/articles/68758https://doaj.org/toc/2050-084XRecent omics analyses of human biofluids provide opportunities to probe selected species of biomolecules for disease diagnostics. Fourier-transform infrared (FTIR) spectroscopy investigates the full repertoire of molecular species within a sample at once. Here, we present a multi-institutional study in which we analysed infrared fingerprints of plasma and serum samples from 1639 individuals with different solid tumours and carefully matched symptomatic and non-symptomatic reference individuals. Focusing on breast, bladder, prostate, and lung cancer, we find that infrared molecular fingerprinting is capable of detecting cancer: training a support vector machine algorithm allowed us to obtain binary classification performance in the range of 0.78–0.89 (area under the receiver operating characteristic curve [AUC]), with a clear correlation between AUC and tumour load. Intriguingly, we find that the spectral signatures differ between different cancer types. This study lays the foundation for high-throughput onco-IR-phenotyping of four common cancers, providing a cost-effective, complementary analytical tool for disease recognition.Marinus HuberKosmas V KepesidisLiudmila VoroninaFrank FleischmannErnst FillJacqueline HermannIna KochKatrin Milger-KneidingerThomas KolbenGerald B SchulzFriedrich JokischJürgen BehrNadia HarbeckMaximilian ReiserChristian StiefFerenc KrauszMihaela ZigmaneLife Sciences Publications Ltdarticleinfrared spectroscopyliquid biopsycancer detectionphenotypingMedicineRScienceQBiology (General)QH301-705.5ENeLife, Vol 10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	infrared spectroscopy liquid biopsy cancer detection phenotyping Medicine R Science Q Biology (General) QH301-705.5
spellingShingle	infrared spectroscopy liquid biopsy cancer detection phenotyping Medicine R Science Q Biology (General) QH301-705.5 Marinus Huber Kosmas V Kepesidis Liudmila Voronina Frank Fleischmann Ernst Fill Jacqueline Hermann Ina Koch Katrin Milger-Kneidinger Thomas Kolben Gerald B Schulz Friedrich Jokisch Jürgen Behr Nadia Harbeck Maximilian Reiser Christian Stief Ferenc Krausz Mihaela Zigman Infrared molecular fingerprinting of blood-based liquid biopsies for the detection of cancer
description	Recent omics analyses of human biofluids provide opportunities to probe selected species of biomolecules for disease diagnostics. Fourier-transform infrared (FTIR) spectroscopy investigates the full repertoire of molecular species within a sample at once. Here, we present a multi-institutional study in which we analysed infrared fingerprints of plasma and serum samples from 1639 individuals with different solid tumours and carefully matched symptomatic and non-symptomatic reference individuals. Focusing on breast, bladder, prostate, and lung cancer, we find that infrared molecular fingerprinting is capable of detecting cancer: training a support vector machine algorithm allowed us to obtain binary classification performance in the range of 0.78–0.89 (area under the receiver operating characteristic curve [AUC]), with a clear correlation between AUC and tumour load. Intriguingly, we find that the spectral signatures differ between different cancer types. This study lays the foundation for high-throughput onco-IR-phenotyping of four common cancers, providing a cost-effective, complementary analytical tool for disease recognition.
format	article
author	Marinus Huber Kosmas V Kepesidis Liudmila Voronina Frank Fleischmann Ernst Fill Jacqueline Hermann Ina Koch Katrin Milger-Kneidinger Thomas Kolben Gerald B Schulz Friedrich Jokisch Jürgen Behr Nadia Harbeck Maximilian Reiser Christian Stief Ferenc Krausz Mihaela Zigman
author_facet	Marinus Huber Kosmas V Kepesidis Liudmila Voronina Frank Fleischmann Ernst Fill Jacqueline Hermann Ina Koch Katrin Milger-Kneidinger Thomas Kolben Gerald B Schulz Friedrich Jokisch Jürgen Behr Nadia Harbeck Maximilian Reiser Christian Stief Ferenc Krausz Mihaela Zigman
author_sort	Marinus Huber
title	Infrared molecular fingerprinting of blood-based liquid biopsies for the detection of cancer
title_short	Infrared molecular fingerprinting of blood-based liquid biopsies for the detection of cancer
title_full	Infrared molecular fingerprinting of blood-based liquid biopsies for the detection of cancer
title_fullStr	Infrared molecular fingerprinting of blood-based liquid biopsies for the detection of cancer
title_full_unstemmed	Infrared molecular fingerprinting of blood-based liquid biopsies for the detection of cancer
title_sort	infrared molecular fingerprinting of blood-based liquid biopsies for the detection of cancer
publisher	eLife Sciences Publications Ltd
publishDate	2021
url	https://doaj.org/article/eaad08e071b84de89e14ee30b1aa50b7
work_keys_str_mv	AT marinushuber infraredmolecularfingerprintingofbloodbasedliquidbiopsiesforthedetectionofcancer AT kosmasvkepesidis infraredmolecularfingerprintingofbloodbasedliquidbiopsiesforthedetectionofcancer AT liudmilavoronina infraredmolecularfingerprintingofbloodbasedliquidbiopsiesforthedetectionofcancer AT frankfleischmann infraredmolecularfingerprintingofbloodbasedliquidbiopsiesforthedetectionofcancer AT ernstfill infraredmolecularfingerprintingofbloodbasedliquidbiopsiesforthedetectionofcancer AT jacquelinehermann infraredmolecularfingerprintingofbloodbasedliquidbiopsiesforthedetectionofcancer AT inakoch infraredmolecularfingerprintingofbloodbasedliquidbiopsiesforthedetectionofcancer AT katrinmilgerkneidinger infraredmolecularfingerprintingofbloodbasedliquidbiopsiesforthedetectionofcancer AT thomaskolben infraredmolecularfingerprintingofbloodbasedliquidbiopsiesforthedetectionofcancer AT geraldbschulz infraredmolecularfingerprintingofbloodbasedliquidbiopsiesforthedetectionofcancer AT friedrichjokisch infraredmolecularfingerprintingofbloodbasedliquidbiopsiesforthedetectionofcancer AT jurgenbehr infraredmolecularfingerprintingofbloodbasedliquidbiopsiesforthedetectionofcancer AT nadiaharbeck infraredmolecularfingerprintingofbloodbasedliquidbiopsiesforthedetectionofcancer AT maximilianreiser infraredmolecularfingerprintingofbloodbasedliquidbiopsiesforthedetectionofcancer AT christianstief infraredmolecularfingerprintingofbloodbasedliquidbiopsiesforthedetectionofcancer AT ferenckrausz infraredmolecularfingerprintingofbloodbasedliquidbiopsiesforthedetectionofcancer AT mihaelazigman infraredmolecularfingerprintingofbloodbasedliquidbiopsiesforthedetectionofcancer
_version_	1718413532592078848

Infrared molecular fingerprinting of blood-based liquid biopsies for the detection of cancer

Ejemplares similares