Dissecting intratumor heterogeneity of nodal B cell lymphoma on the transcriptional, genetic, and drug response level
Tumor heterogeneity encompasses both the malignant cells and their microenvironment. While heterogeneity between individual patients is well-known to affect the efficacy of anti-cancer, most personalized treatment approaches do not account for intratumor heterogeneity. We addressed this issue by studying the heterogeneity of lymph node-derived B cell non-Hodgkin lymphoma (B-NHL) by single cell RNA-sequencing (scRNA-seq) and transcriptome-informed flow cytometry. We identified transcriptionally distinct malignant subclones and compared their drug response and genomic profiles. Malignant subclones of the same patient responded strikingly different to anti-cancer drugs ex vivo, which recapitulated subclone-specific drug sensitivity during in vivo treatment. Tumor 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 new insights into the heterogeneity of B-NHL and highlight the relevance of intratumor heterogeneity for personalized cancer therapies.
- Type: Other
- Archiver: European Genome-Phenome Archive (EGA)
Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data
Dataset ID | Description | Technology | Samples |
---|---|---|---|
EGAD00001006057 | HiSeq X Ten | 2 | |
EGAD00001006058 | HiSeq X Ten | 2 | |
EGAD00001006059 | Illumina HiSeq 4000 | 5 | |
EGAD00001006060 | Illumina HiSeq 4000 | 1 |
Publications | Citations |
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Expansion of ventral foregut is linked to changes in the enhancer landscape for organ-specific differentiation.
Nat Cell Biol 25: 2023 481-492 |
2 |
Virtual tissue expression analysis.
Bioinformatics 40: 2024 btae709 |
0 |