» Articles » PMID: 32541878

Dissecting Intratumour Heterogeneity of Nodal B-cell Lymphomas at the Transcriptional, Genetic and Drug-response Levels

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.

Citing Articles

Analyze the Diversity and Function of Immune Cells in the Tumor Microenvironment From the Perspective of Single-Cell RNA Sequencing.

Ma L, Luan Y, Lu L Cancer Med. 2025; 14(5):e70622.

PMID: 40062730 PMC: 11891933. DOI: 10.1002/cam4.70622.


Consequences of training data composition for deep learning models in single-cell biology.

Nadig A, Thoutam A, Hughes M, Gupta A, Navia A, Fusi N bioRxiv. 2025; .

PMID: 40060416 PMC: 11888162. DOI: 10.1101/2025.02.19.639127.


Overexpression of ornithine decarboxylase 1 mediates the immune-deserted microenvironment and poor prognosis in diffuse large B-cell lymphoma.

Liang X, Guo J, Wang X, Luo B, Fu R, Chen H J Natl Cancer Cent. 2025; 5(1):57-74.

PMID: 40040873 PMC: 11873660. DOI: 10.1016/j.jncc.2024.10.001.


Blocking the CD39/CD73 pathway synergizes with anti-CD20 bispecific antibody in nodal B-cell lymphoma.

Kolbe C, Kauer J, Brinkmann B, Dreger P, Huber W, Muller-Tidow C J Immunother Cancer. 2025; 13(1).

PMID: 39884778 PMC: 11784132. DOI: 10.1136/jitc-2024-009245.


Single-cell transcriptomic and spatial analysis reveal the immunosuppressive microenvironment in relapsed/refractory angioimmunoblastic T-cell lymphoma.

Zhu M, Li N, Fan L, Wu R, Cao L, Ren Y Blood Cancer J. 2024; 14(1):218.

PMID: 39695118 PMC: 11655871. DOI: 10.1038/s41408-024-01199-0.


References
1.
Burrell R, McGranahan N, Bartek J, Swanton C . The causes and consequences of genetic heterogeneity in cancer evolution. Nature. 2013; 501(7467):338-45. DOI: 10.1038/nature12625. View

2.
Chapuy B, Stewart C, Dunford A, Kim J, Kamburov A, Redd R . Molecular subtypes of diffuse large B cell lymphoma are associated with distinct pathogenic mechanisms and outcomes. Nat Med. 2018; 24(5):679-690. PMC: 6613387. DOI: 10.1038/s41591-018-0016-8. View

3.
Swanton C . Intratumor heterogeneity: evolution through space and time. Cancer Res. 2012; 72(19):4875-82. PMC: 3712191. DOI: 10.1158/0008-5472.CAN-12-2217. View

4.
McGranahan N, Swanton C . Clonal Heterogeneity and Tumor Evolution: Past, Present, and the Future. Cell. 2017; 168(4):613-628. DOI: 10.1016/j.cell.2017.01.018. View

5.
Kim I, Zhang X . One microenvironment does not fit all: heterogeneity beyond cancer cells. Cancer Metastasis Rev. 2016; 35(4):601-629. PMC: 5215976. DOI: 10.1007/s10555-016-9643-z. View