Infrared molecular fingerprinting of blood-based liquid biopsies for the detection of cancer.
cancer detection
human
infrared spectroscopy
liquid biopsy
medicine
phenotyping
Journal
eLife
ISSN: 2050-084X
Titre abrégé: Elife
Pays: England
ID NLM: 101579614
Informations de publication
Date de publication:
26 10 2021
26 10 2021
Historique:
received:
24
03
2021
accepted:
13
09
2021
entrez:
26
10
2021
pubmed:
27
10
2021
medline:
19
11
2021
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 34696827
doi: 10.7554/eLife.68758
pii: 68758
pmc: PMC8547961
doi:
pii:
Banques de données
DRKS
['DRKS00013217']
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
© 2021, Huber et al.
Déclaration de conflit d'intérêts
MH, KK, LV, FF, EF, JH, IK, KM, TK, GS, FJ, JB, NH, MR, CS, FK, MZ No competing interests declared
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