Roider, Tobias, Seufert, Julian, Uvarovskii, Alexey, Frauhammer, Felix, Bordas, Marie, Abedpour, Nima, Stolarczyk, Marta, Mallm, Jan-Philipp, Herbst, Sophie A., Bruch, Peter-Martin ORCID: 0000-0002-9992-3109, 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 and Dietrich, Sascha (2020). Dissecting intratumour heterogeneity of nodal B-cell lymphomas at the transcriptional, genetic and drug-response levels. Nat. Cell Biol., 22 (7). S. 896 - 923. BERLIN: NATURE RESEARCH. ISSN 1476-4679

Full text not available from this repository.

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.

Item Type: Journal Article
Creators:
CreatorsEmailORCIDORCID Put Code
Roider, TobiasUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Seufert, JulianUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Uvarovskii, AlexeyUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Frauhammer, FelixUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Bordas, MarieUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Abedpour, NimaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Stolarczyk, MartaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Mallm, Jan-PhilippUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Herbst, Sophie A.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Bruch, Peter-MartinUNSPECIFIEDorcid.org/0000-0002-9992-3109UNSPECIFIED
Balke-Want, HyattUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Hundemer, MichaelUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Rippe, KarstenUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Goeppert, BenjaminUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Seiffert, MartinaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Brors, BenediktUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Mechtersheimer, GunhildUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Zenz, ThorstenUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Peifer, MartinUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Chapuy, BjoernUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Schlesner, MatthiasUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Mueller-Tidow, CarstenUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Froehling, StefanUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Huber, WolfgangUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Anders, SimonUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Dietrich, SaschaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
URN: urn:nbn:de:hbz:38-329957
DOI: 10.1038/s41556-020-0532-x
Journal or Publication Title: Nat. Cell Biol.
Volume: 22
Number: 7
Page Range: S. 896 - 923
Date: 2020
Publisher: NATURE RESEARCH
Place of Publication: BERLIN
ISSN: 1476-4679
Language: English
Faculty: Unspecified
Divisions: Unspecified
Subjects: no entry
Uncontrolled Keywords:
KeywordsLanguage
CXC CHEMOKINE RECEPTOR-5; FOLLICULAR LYMPHOMA; RNA-SEQ; T-CELLS; EXPRESSION; SUPPRESSION; OUTCOMESMultiple languages
Cell BiologyMultiple languages
URI: http://kups.ub.uni-koeln.de/id/eprint/32995

Downloads

Downloads per month over past year

Altmetric

Export

Actions (login required)

View Item View Item