FlowCT for the analysis of large immunophenotypic data sets and biomarker discovery in cancer immunology

6533b85ffe1ef96bd12c127a

RESEARCH PRODUCT

FlowCT for the analysis of large immunophenotypic data sets and biomarker discovery in cancer immunology

Leire Burgos Cristina Perez Aldo M. Roccaro Diego Alignani Jesús F. San-miguel Hartmut Goldschmidt Ivan Borrello Joaquin Martinez-lopez Marco Rossi Irene Manrique Bruno Paiva Artur Paiva Hervé Avet-loiseau Catarina Maia Maria-victoria Mateos Massimo Gentile Laura Rosinol Dachs Noemi Puig Juana Merino Joan Bladé Aintzane Zabaleta Pierpaolo Correale Maria-teresa Cedena Ciro Botta Rosalinda Termini Evangelos Terpos Sarai Sarvide Juan José Garcés Pierfrancesco Tassone Tomas Jelinek Juan José Lahuerta

subject

Smoldering Multiple Myeloma Oncology medicine.medical_specialty Immunobiology and Immunotherapy T cell Myeloma 24 23 Immunophenotyping Immune system Maintenance therapy Bone Marrow Internal medicine Humans Medicine Biomarker discovery Multiple myeloma Cancer immunology business.industry Hematology medicine.disease Flow Cytometry medicine.anatomical_structure Smouldering myeloma Bone marrow business Biomarkers myeloma flow cytometry single cell smouldering myeloma

description

Key Points FlowCT is a new computational workspace for unveiling cellular diversity and objectively identifying biomarkers in large immune monitoring studies.FlowCT identified T-cell biomarkers predictive of malignant transformation and survival in SMM and active MM data sets.

year	journal	country	edition	language
2022-01-01

https://hdl.handle.net/10171/63477

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