{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,27]],"date-time":"2026-10-27T17:14:16Z","timestamp":1793121256015,"version":"4.5.0"},"reference-count":26,"publisher":"Oxford University Press (OUP)","issue":"6","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2011,6,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Flow cytometric T-cell receptor (TCR)-V\u03b2 repertoire analysis (TCR-V\u03b2-R) is a sensitive method for detection of T-cell clonality; however, no uniform approach exists to define clonality in neoplastic T cells. TCR-V\u03b2-R was evaluated in patients with a diagnosis of T-cell neoplasia in initial diagnostic specimens from 41 patients and for minimal residual disease (MRD) monitoring in 61 sequential samples from 14 patients with mature T-cell neoplasia. Gating strategies and criteria for detection of T-cell clonality were determined. In all 41 initial specimens, T-cell clonality was demonstrated via TCR-V\u03b2-R. The frequency of V\u03b2 usage was consistent with random neoplastic transformation of TCR-V\u03b2 subsets. MRD was successfully detected in follow-up samples from all 14 patients evaluated, Furthermore, MRD after therapy was quantitated in 48 peripheral blood specimens. TCR-V\u03b2-R analysis is a sensitive method for detection of T-cell clonality and is useful for diagnosis and MRD detection in multiple specimen types.<\/jats:p>","DOI":"10.1309\/ajcpv2d1ddsgjdbw","type":"journal-article","created":{"date-parts":[[2011,5,13]],"date-time":"2011-05-13T16:53:26Z","timestamp":1305305606000},"page":"890-900","source":"Crossref","is-referenced-by-count":50,"title":["Flow Cytometric Immunophenotypic Assessment of T-Cell Clonality by V\u03b2 Repertoire Analysis"],"prefix":"10.1093","volume":"135","author":[{"given":"Prashant","family":"Tembhare","sequence":"first","affiliation":[{"name":"1Flow Cytometry Unit, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Constance M.","family":"Yuan","sequence":"additional","affiliation":[{"name":"1Flow Cytometry Unit, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liqiang","family":"Xi","sequence":"additional","affiliation":[{"name":"2Molecular Diagnostics, Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"John C.","family":"Morris","sequence":"additional","affiliation":[{"name":"3Metabolism Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David","family":"Liewehr","sequence":"additional","affiliation":[{"name":"4Biostatistics and Data Management Section, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David","family":"Venzon","sequence":"additional","affiliation":[{"name":"4Biostatistics and Data 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