{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T07:37:00Z","timestamp":1780472220800,"version":"3.54.1"},"reference-count":22,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2021,9,29]],"date-time":"2021-09-29T00:00:00Z","timestamp":1632873600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/100006727","name":"University of Kansas Medical Center","doi-asserted-by":"publisher","award":["Kansas Institute for Precision Medicine COBRE (P20 GM130423)"],"award-info":[{"award-number":["Kansas Institute for Precision Medicine COBRE (P20 GM130423)"]}],"id":[{"id":"10.13039\/100006727","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Int J Lab Hematology"],"published-print":{"date-parts":[[2022,2]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Introduction<\/jats:title><jats:p>Monitoring patients with acute myeloid leukemia can be implemented through various techniques such as multiparameter flow cytometry, real\u2010time quantitative polymerase chain reaction, and next\u2010generation sequencing. However, there is scarce studies when comparing the data of next\u2010generation sequencing and flow cytometry for monitoring disease progression, particularly how they might supplement one another when used in tandem.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>We investigated 107 patients via retrospective analysis using follow\u2010up MFC and NGS data with a total of 717 MFC and 247 NGS studies to compare these methods in monitoring minimal\/measurable residual disease.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>197 instances were MFC<jats:sup>+<\/jats:sup>\/NGS<jats:sup>+<\/jats:sup>, 3 were MFC<jats:sup>\u2212<\/jats:sup>\/NGS<jats:sup>\u2212<\/jats:sup>, 44 were MFC<jats:sup>\u2212<\/jats:sup>\/NGS<jats:sup>+<\/jats:sup>, and 3 are MFC<jats:sup>+<\/jats:sup>\/NGS<jats:sup>\u2212<\/jats:sup>. The majority of the MFC<jats:sup>\u2212<\/jats:sup>\/NGS<jats:sup>+<\/jats:sup>cases occurred within 6\u00a0months during the post\u2010treatment phase (64%). Among 44 MFC<jats:sup>\u2212<\/jats:sup>\/NGS<jats:sup>+<\/jats:sup>instances, 13 had similar NGS profiles to their original day 0 diagnosis. The remaining cases showed preleukemic clonal hematopoiesis mutations, \u201clikely pathogenic mutations,\u201d or \u201cvariants of uncertain significance.\u201d<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>Our findings show that flow cytometry has its advantages with comparable sensitivity in detecting minimal\/measurable residual disease. Next\u2010generation sequencing could be used in an increased and more regular capacity in conjunction with flow cytometry to achieve a more comprehensive surveillance of these patients, resulting in improved outcomes.<\/jats:p><\/jats:sec>","DOI":"10.1111\/ijlh.13711","type":"journal-article","created":{"date-parts":[[2021,9,29]],"date-time":"2021-09-29T08:11:36Z","timestamp":1632903096000},"page":"118-126","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Comparison of flow cytometry and next\u2010generation sequencing in minimal residual disease monitoring of acute myeloid leukemia: One institute\u2019s practical clinical experience"],"prefix":"10.1111","volume":"44","author":[{"given":"Paul","family":"F. McGowan","sequence":"first","affiliation":[{"name":"Department of Pathology &amp; Laboratory Medicine University of Kansas Medical Center Kansas City Kansas USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stephen","family":"D. 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