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Leveraging gene expression subgroups to classify DLBCL patients and select for clinical benefit from a novel agent
Journal article   Open access   Peer reviewed

Leveraging gene expression subgroups to classify DLBCL patients and select for clinical benefit from a novel agent

Alberto Risueño, Patrick R Hagner, Fadi Towfic, Celia Fontanillo, Amira Djebbari, Joel S Parker, Clifton P Drew, Grzegorz S Nowakowski, Matthew J Maurer, James R Cerhan, …
Blood, Vol.135(13), pp.1008-1018
03/26/2020
DOI: 10.1182/blood.2019002414
PMCID: PMC7099333
PMID: 31977005
url
https://doi.org/10.1182/blood.2019002414View
Published (Version of record) Open Access

Abstract

Adult Aged Antineoplastic Agents - pharmacology Antineoplastic Agents - therapeutic use Antineoplastic Combined Chemotherapy Protocols - adverse effects Antineoplastic Combined Chemotherapy Protocols - therapeutic use Biopsy Computational Biology - methods Female Fluorescent Antibody Technique Gene Expression Profiling Gene Expression Regulation, Neoplastic - drug effects Gene Regulatory Networks Humans Lymphoma, Large B-Cell, Diffuse - diagnosis Lymphoma, Large B-Cell, Diffuse - drug therapy Lymphoma, Large B-Cell, Diffuse - genetics Male Middle Aged Reproducibility of Results Transcriptome

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