Dissecting bulk transcriptomes of diffuse large B cell lymphoma

Dylan R McNally; Olivier Elemento; Ari Melnick

doi:10.1016/j.ccell.2021.09.006

Dissecting bulk transcriptomes of diffuse large B cell lymphoma

Cancer Cell. 2021 Oct 11;39(10):1305-1307. doi: 10.1016/j.ccell.2021.09.006. Epub 2021 Sep 30.

Authors

Dylan R McNally¹, Olivier Elemento¹, Ari Melnick²

Affiliations

¹ Caryl and Israel Englander Institute for Precision Medicine, Institute for Computational Biomedicine, Weill Cornell Medicine, Cornell University, New York, NY 10021, USA; Department of Physiology and Biophysics, Weill Cornell Medicine, Cornell University, New York, NY 10021, USA.
² Division of Hematology/Oncology, Department of Medicine, Weill Cornell Medicine, Cornell University, New York, NY 10021, USA. Electronic address: amm2014@med.cornell.edu.

PMID: 34597590
DOI: 10.1016/j.ccell.2021.09.006

Abstract

Diffuse large B cell lymphoma (DLBCL) is a markedly phenotypically heterogenous disease, frequently assessed using bulk genomic techniques that blur the intrinsic heterogeneity of each tumor. In this issue of Cancer Cell, Steen et al. have utilized a computational framework called EcoTyper to skillfully dissect bulk transcriptomic tumor profiles into different cell type components in an unsupervised manner.

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MeSH terms

Gene Expression Profiling
Genomics
Humans
Lymphoma, Large B-Cell, Diffuse* / genetics
Prognosis
Transcriptome*