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Neuro
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Lipid
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Huber, M; Kepesidis, KV; Voronina, L; Fleischmann, F; Fill, E; Hermann, J; Koch, I; Milger-Kneidinger, K; Kolben, T; Schulz, GB; Jokisch, F; Behr, J; Harbeck, N; Reiser, M; Stief, C; Krausz, F; Zigman, M.
Infrared molecular fingerprinting of blood-based liquid biopsies for the detection of cancer.
ELIFE. 2021; 10:
Doi: 10.7554/eLife.68758
[OPEN ACCESS]
Web of Science
PubMed
FullText
FullText_MUG
- Co-Autor*innen der Med Uni Graz
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Milger-Kneidinger Katrin
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- Abstract:
- 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.
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Breast Neoplasms - diagnosis
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Female - administration & dosage
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Humans - administration & dosage
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Liquid Biopsy - methods
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Lung Neoplasms - diagnosis
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Machine Learning - administration & dosage
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Male - administration & dosage
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Prostatic Neoplasms - diagnosis
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Spectroscopy, Fourier Transform Infrared - methods
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Urinary Bladder Neoplasms - diagnosis
- Find related publications in this database (Keywords)
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infrared spectroscopy
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liquid biopsy
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cancer detection
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phenotyping
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Human