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FISH Panel for Leukemic Cutaneous T-Cell Lymphoma: Extended Patient Cohort Correlation with Blood Involvement and Clinical Outcomes.
Avery, Jonathan; Kim, Sa Rang; Cheng, Wei; Foss, Francine; Girardi, Michael.
Afiliación
  • Avery J; Department of Internal Medicine, University of Washington, Seattle, Washington, USA.
  • Kim SR; Department of Dermatology, Yale School of Medicine, New Haven, Connecticut, USA.
  • Cheng W; Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut, USA.
  • Foss F; Section of Hematology, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA.
  • Girardi M; Department of Dermatology, Yale School of Medicine, New Haven, Connecticut, USA.
JID Innov ; 3(5): 100212, 2023 Sep.
Article en En | MEDLINE | ID: mdl-37674691
ABSTRACT
The genomic basis of cutaneous T-cell lymphoma has been characterized by gene copy number alterations and genomic sequencing, but there are few clinical tests that are being widely used to inform the diagnosis and prognosis of leukemic cutaneous T-cell lymphoma that may arise as a progression from mycosis fungoides or de novo as Sézary syndrome. An 11-gene FISH panel of TP53, RB1, DNMT3A, FAS, ZEB1, ARID1A, ATM, and CDKN2A deletions and MYC, signal transducer and activator of transcription gene (STAT)3/5B, and CARD11 amplifications was previously found to encapsulate >95% of gene copy number variations in leukemic cutaneous T-cell lymphoma. Through a retrospective analysis of patients with leukemic cutaneous T-cell lymphoma seen at the Yale Cancer Center from 2014 to 2020, we gathered the relevant genes as they became available and correlated them to factors with prognostic relevance as a proof of concept to show the potential utility in further developing a limited gene panel for prognosis. In this study, we show that the abnormal FISH results show an association with clinically relevant factors (blood stage, CD48 ratio, and percentage blood involvement) and have a nonsignificant statistical trend (>90%) toward correlation with overall survival. In addition, the previous cost-effective panels were signal transducer and activator of transcription (STAT)3/5B, MYC, TP53, and ARID1A. We now suggest adding RB1 and ZEB1 on the basis of our findings.

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: JID Innov Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: JID Innov Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos