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Minimal/Measurable Residual Disease Monitoring in Patients with Lymphoid Neoplasms by High-Throughput Sequencing of the T-Cell Receptor.
Tung, Jack K; Jangam, Diwash; Ho, Chandler C; Fung, Eula; Khodadoust, Michael S; Kim, Youn H; Zehnder, James L; Stehr, Henning; Zhang, Bing M.
Afiliación
  • Tung JK; Department of Pathology, Stanford University School of Medicine, Stanford, California; Guardant Health, Redwood City, California.
  • Jangam D; Molecular Pathology Laboratory, Stanford Health Care, Stanford, California.
  • Ho CC; Molecular Pathology Laboratory, Stanford Health Care, Stanford, California.
  • Fung E; Molecular Pathology Laboratory, Stanford Health Care, Stanford, California.
  • Khodadoust MS; Department of Dermatology, Stanford University School of Medicine, Stanford, California; Department of Medicine, Division of Oncology, Stanford University School of Medicine, Stanford, California.
  • Kim YH; Department of Dermatology, Stanford University School of Medicine, Stanford, California.
  • Zehnder JL; Department of Pathology, Stanford University School of Medicine, Stanford, California.
  • Stehr H; Department of Pathology, Stanford University School of Medicine, Stanford, California.
  • Zhang BM; Department of Pathology, Stanford University School of Medicine, Stanford, California. Electronic address: mbzhang@stanford.edu.
J Mol Diagn ; 25(6): 331-341, 2023 06.
Article en En | MEDLINE | ID: mdl-36870603
ABSTRACT
High-throughput sequencing of the T-cell receptor beta (TRB) and gamma (TRG) loci is increasingly utilized due to its high sensitivity, specificity, and versatility in the diagnosis of various T-cell malignancies. Application of these technologies for tracking disease burden can be valuable in detecting recurrence, determining response to therapy, guiding future management of patients, and establishing endpoints for clinical trials. In this study, the performance of the commercially available LymphoTrack high-throughput sequencing assay was assessed for determining residual disease burden in patients with various T-cell malignancies. A custom bioinformatics pipeline and database was also developed to facilitate minimal/measurable residual disease analysis and clinical reporting. This assay demonstrated excellent test performance characteristics, achieving a sensitivity of 1 of 100,000 T-cell equivalents for the DNA inputs evaluated and high concordance with orthogonal testing methods. This assay was further utilized to correlate disease burden in several patients, demonstrating its potential utility for monitoring patients with T-cell malignancies.
Asunto(s)

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Leucemia-Linfoma Linfoblástico de Células Precursoras / Linfoma Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Revista: J Mol Diagn Asunto de la revista: BIOLOGIA MOLECULAR Año: 2023 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Leucemia-Linfoma Linfoblástico de Células Precursoras / Linfoma Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Revista: J Mol Diagn Asunto de la revista: BIOLOGIA MOLECULAR Año: 2023 Tipo del documento: Article