{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,16]],"date-time":"2026-02-16T08:45:18Z","timestamp":1771231518582,"version":"3.50.1"},"reference-count":26,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2022,6,6]],"date-time":"2022-06-06T00:00:00Z","timestamp":1654473600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000054","name":"National Cancer Institute","doi-asserted-by":"publisher","award":["P01CA069246"],"award-info":[{"award-number":["P01CA069246"]}],"id":[{"id":"10.13039\/100000054","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000054","name":"National Cancer Institute","doi-asserted-by":"publisher","award":["P01CA240239"],"award-info":[{"award-number":["P01CA240239"]}],"id":[{"id":"10.13039\/100000054","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000054","name":"National Cancer Institute","doi-asserted-by":"publisher","award":["R01CA206890"],"award-info":[{"award-number":["R01CA206890"]}],"id":[{"id":"10.13039\/100000054","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000054","name":"National Cancer Institute","doi-asserted-by":"publisher","award":["R01CA257623"],"award-info":[{"award-number":["R01CA257623"]}],"id":[{"id":"10.13039\/100000054","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["acsjournals.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Cancer Cytopathology"],"published-print":{"date-parts":[[2022,8]]},"abstract":"<jats:p>Diagnosing salivary gland tumors (SGTs) through fine\u2010needle aspiration (FNA) biopsies is challenging due to the overlapping cytomorphologic features between benign and malignant tumors. The authors developed an innovative, multiplexed cycling technology for the rapid analyses of single cells obtained from FNA that can facilitate the molecular analyses and diagnosis of SGTs. Antibodies against 29 protein markers associated with 7 SGT subtypes were validated and chemically modified via custom linker\u2013bio\u2010orthogonal probes (FAST). Single\u2010cell homogenates and FNA samples were profiled by FAST cyclic imaging and computational analysis. A prediction model was generated using a training set of 151,926 cells from primary SGTs (N\u00a0=\u00a026) and validated on a separate cohort (N\u00a0=\u00a030). Companion biomarker testing, such as neurotrophic tyrosine receptor kinase (NTRK), was also assessed with the FAST technology. The FAST molecular diagnostic assay was able to distinguish between benign and malignant SGTs with an accuracy of 0.86 for single\u2010cell homogenate samples and 0.88 for FNA samples. Profiling of multiple markers as compared to a single marker increased the diagnostic accuracy (0.82 as compared to 0.65\u20100.74, respectively), independent of the cell number sampled. NTRK expression was also assessed by the FAST assay, highlighting the potential therapeutic application of this technology. Application of the novel multiplexed single\u2010cell technology facilitates rapid biomarker testing from FNA samples at low cost. The customizable and modular FAST\u2010FNA approach has relevance to multiple pathologies and organ systems where cytologic samples are often scarce and\/or indeterminate resulting in improved diagnostic workflows and timely therapeutic clinical decision\u2010making.<\/jats:p>","DOI":"10.1002\/cncy.22594","type":"journal-article","created":{"date-parts":[[2022,6,6]],"date-time":"2022-06-06T12:26:20Z","timestamp":1654518380000},"page":"581-594","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Multiplexed single\u2010cell analysis of <scp>FNA<\/scp> allows accurate diagnosis of salivary gland tumors"],"prefix":"10.1002","volume":"130","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4492-6978","authenticated-orcid":false,"given":"Juhyun","family":"Oh","sequence":"first","affiliation":[{"name":"Center for Systems Biology Massachusetts General Hospital  Boston Massachusetts"},{"name":"Department of Radiology 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