| Title: | Artificially Intelligent Nanoarray Detects Various Cancers by Liquid Biopsy of Volatile Markers |
| Author(s): | Einoch Amor R; Zinger A; Broza YY; Schroeder A; Haick H; |
| Address: | "Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion - Israel Institute of Technology, Haifa, 3200003, Israel. Laboratory for Targeted Drug Delivery and Personalized Medicine Technologies, Department of Chemical Engineering, Technion - Israel Institute of Technology, Haifa, 3200003, Israel" |
| ISSN/ISBN: | 2192-2659 (Electronic) 2192-2640 (Linking) |
| Abstract: | "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" |
| Keywords: | "Artificial Intelligence Biomarkers, Tumor *Breast Neoplasms/diagnosis Female Humans Liquid Biopsy *Volatile Organic Compounds/analysis breast cancer liquid biopsies machine- learning nanotechnology ovarian cancer pancreatic cancer sensors;" |
| Notes: | "MedlineEinoch Amor, Reef Zinger, Assaf Broza, Yoav Y Schroeder, Avi Haick, Hossam eng Research Support, Non-U.S. Gov't Germany 2022/06/30 Adv Healthc Mater. 2022 Sep; 11(17):e2200356. doi: 10.1002/adhm.202200356. Epub 2022 Jul 14" |
