Artificially Intelligent Nanoarray Detects Various Cancers by Liquid Biopsy of Volatile Markers.
breast cancer
liquid biopsies
machine- learning
nanotechnology
ovarian cancer
pancreatic cancer
sensors
Journal
Advanced healthcare materials
ISSN: 2192-2659
Titre abrégé: Adv Healthc Mater
Pays: Germany
ID NLM: 101581613
Informations de publication
Date de publication:
09 2022
09 2022
Historique:
revised:
24
05
2022
received:
14
02
2022
pubmed:
30
6
2022
medline:
11
9
2022
entrez:
29
6
2022
Statut:
ppublish
Résumé
Cancer is usually not symptomatic in its early stages. However, early detection can vastly improve prognosis. Liquid biopsy holds great promise for early detection, although it still suffers from many disadvantages, mainly searching for specific cancer biomarkers. Here, a new approach for liquid biopsies is proposed, based on volatile organic compound (VOC) patterns in the blood headspace. An artificial intelligence nanoarray based on a varied set of chemi-sensitive nano-based structured films is developed and used to detect and stage cancer. As a proof-of-concept, three cancer models are tested showing high incidence and mortality rates in the population: breast cancer, ovarian cancer, and pancreatic cancer. The nanoarray has >84% accuracy, >81% sensitivity, and >80% specificity for early detection and >97% accuracy, 100% sensitivity, and >88% specificity for metastasis detection. Complementary mass spectrometry analysis validates these results. The ability to analyze such a complex biological fluid as blood, while considering data of many VOCs at a time using the artificially intelligent nanoarray, increases the sensitivity of predictive models and leads to a potential efficient early diagnosis and disease-monitoring tool for cancer.
Identifiants
pubmed: 35765713
doi: 10.1002/adhm.202200356
doi:
Substances chimiques
Biomarkers, Tumor
0
Volatile Organic Compounds
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
e2200356Informations de copyright
© 2021 The Authors. Advanced Healthcare Materials published by Wiley-VCH GmbH.
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