| Title: | Detection of Single Cancer Cells in Blood with Artificially Intelligent Nanoarray |
| Author(s): | Einoch-Amor R; Broza YY; Haick H; |
| Address: | "Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion-Israel Institute of Technology, 3200003, Haifa, Israel" |
| ISSN/ISBN: | 1936-086X (Electronic) 1936-0851 (Linking) |
| Abstract: | "Detection and monitoring of single cancer cells (SCCs), such as circulating tumor cells (CTCs), would be of aid in an efficient early detection of cancer, a tailored (personalized) therapy, and in a fast bedside assessment of treatment efficacy. Nevertheless, currently available techniques, which mostly rely on the isolation of SCCs based on their physical or biological properties, suffer from low sensitivity, complicated technical procedures, low cost-effectiveness, and being unsuitable for continuous monitoring. We report here on the design and use of an artificially intelligent nanoarray based on a heterogeneous set of chemisensitive nanostructured films for the detection of SCCs using volatile organic compounds emanating in the air trapped above blood samples containing SCCs. For demonstration purposes, we have focused on samples containing A549 lung cancer cells (hereafter, SCC(A549)). The nanoarray developed to detect SCC(A549) has >90% accuracy, >85% sensitivity, and >95% specificity. Detection works irrespective of the medium and/or the environment. These results were validated by complementary mass spectrometry. The ability to continuously record, store, and preprocess the signals increases the chances that this nanotechnology might also be useful in the early detection of cancer cells in the blood and continuous monitoring of their possible progression" |
| Keywords: | "A549 Cells Humans *Lung Neoplasms *Nanostructures Nanotechnology *Neoplastic Cells, Circulating Ctc blood cancer diagnosis sensor volatile organic compound;" |
| Notes: | "MedlineEinoch-Amor, Reef Broza, Yoav Y Haick, Hossam eng 2021/04/01 ACS Nano. 2021 Apr 27; 15(4):7744-7755. doi: 10.1021/acsnano.1c01741. Epub 2021 Mar 31" |
