| Literature DB >> 32541878 |
Simon Anders1, Sascha Dietrich2,3,4,5, Tobias Roider6,7,8, Julian Seufert9,10, Alexey Uvarovskii1, Felix Frauhammer1, Marie Bordas9,11, Nima Abedpour12, Marta Stolarczyk6, Jan-Philipp Mallm13, Sophie A Herbst6,7,8,10,14, Peter-Martin Bruch6,7,8, Hyatt Balke-Want12, Michael Hundemer6, Karsten Rippe13, Benjamin Goeppert15, Martina Seiffert11, Benedikt Brors16, Gunhild Mechtersheimer15, Thorsten Zenz17, Martin Peifer12, Björn Chapuy18, Matthias Schlesner9, Carsten Müller-Tidow6,7,8, Stefan Fröhling14,19, Wolfgang Huber7,8.
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.Entities:
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Year: 2020 PMID: 32541878 DOI: 10.1038/s41556-020-0532-x
Source DB: PubMed Journal: Nat Cell Biol ISSN: 1465-7392 Impact factor: 28.213