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Dissecting intratumour heterogeneity of nodal B-cell lymphomas at the transcriptional, genetic and drug-response levels

Authors :
Roider, Tobias
Seufert, Julian
Uvarovskii, Alexey
Frauhammer, Felix
Bordas, Marie
Abedpour, Nima
Stolarczyk, Marta
Mallm, Jan-Philipp
Herbst, Sophie A.
Bruch, Peter-Martin
Balke-Want, Hyatt
Hundemer, Michael
Rippe, Karsten
Goeppert, Benjamin
Seiffert, Martina
Brors, Benedikt
Mechtersheimer, Gunhild
Zenz, Thorsten
Peifer, Martin
Chapuy, Bjoern
Schlesner, Matthias
Mueller-Tidow, Carsten
Froehling, Stefan
Huber, Wolfgang
Anders, Simon
Dietrich, Sascha
Roider, Tobias
Seufert, Julian
Uvarovskii, Alexey
Frauhammer, Felix
Bordas, Marie
Abedpour, Nima
Stolarczyk, Marta
Mallm, Jan-Philipp
Herbst, Sophie A.
Bruch, Peter-Martin
Balke-Want, Hyatt
Hundemer, Michael
Rippe, Karsten
Goeppert, Benjamin
Seiffert, Martina
Brors, Benedikt
Mechtersheimer, Gunhild
Zenz, Thorsten
Peifer, Martin
Chapuy, Bjoern
Schlesner, Matthias
Mueller-Tidow, Carsten
Froehling, Stefan
Huber, Wolfgang
Anders, Simon
Dietrich, Sascha
Publication Year :
2020

Abstract

Tumour heterogeneity encompasses both the malignant cells and their microenvironment. While heterogeneity between individual patients is known to affect the efficacy of cancer therapy, most personalized treatment approaches do not account for intratumour heterogeneity. We addressed this issue by studying the heterogeneity of nodal B-cell lymphomas by single-cell RNA-sequencing and transcriptome-informed flow cytometry. We identified transcriptionally distinct malignant subpopulations and compared their drug-response and genomic profiles. Malignant subpopulations from the same patient responded strikingly differently to anti-cancer drugs ex vivo, which recapitulated subpopulation-specific drug sensitivity during in vivo treatment. Infiltrating T cells represented the majority of non-malignant cells, whose gene-expression signatures were similar across all donors, whereas the frequencies of T-cell subsets varied significantly between the donors. Our data provide insights into the heterogeneity of nodal B-cell lymphomas and highlight the relevance of intratumour heterogeneity for personalized cancer therapy. Roider et al. combine scRNA-seq and transcriptome-informed flow cytometry, and uncover transcriptionally different malignant subclones with distinct drug responses and T-cell profiles in B-cell non-Hodgkin lymphoma.

Details

Database :
OAIster
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1238106202
Document Type :
Electronic Resource