Exploiting big data survival information to unify risk-stratification related, adaptive immune receptor parameters for multiple myeloma.

Wolmarans, Hope J; Barker, Vayda R; Chobrutskiy, Andrea; Chobrutskiy, Boris I; Huda, Taha I; Blanck, George

Wolmarans, Hope J; Barker, Vayda R; Chobrutskiy, Andrea; Chobrutskiy, Boris I; Huda, Taha I; Blanck, George.

Afiliación

Wolmarans HJ; Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, 33612, USA.
Barker VR; Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, 33612, USA.
Chobrutskiy A; Department of Pediatrics, Oregon Health and Science University Hospital, Portland, OR, 97239, USA.
Chobrutskiy BI; Department of Internal Medicine, Oregon Health and Science University Hospital, Portland, OR, 97239, USA.
Huda TI; Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, 33612, USA.
Blanck G; Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, 33612, USA. gblanck@usf.edu.

Genes Immun ; 24(4): 194-199, 2023 08.

Article en En | MEDLINE | ID: mdl-37443300

Asunto(s)

Mieloma Múltiple; Masculino; Humanos; Mieloma Múltiple/genética; Mieloma Múltiple/terapia; Macrodatos; Receptores de Antígenos de Linfocitos T; Regiones Determinantes de Complementariedad; Inmunoterapia

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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Mieloma Múltiple Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Humans / Male Idioma: En Revista: Genes Immun Asunto de la revista: ALERGIA E IMUNOLOGIA / BIOLOGIA MOLECULAR Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

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