Single-cell multi-omics of relapse/refractory multiple myeloma patients (Hipo K08K/H067/K43R)

Therapy resistance in cancers is ingrained in complex clonal dynamics. While the major clonal population in a tumour might respond well to the employed intervention, minor clones will eventually mutate, consequently acquiring a selective advantage and drug resistance. Hence, to improve cancer therapy, it is crucial to understand the mechanisms behind clonal evolution. Here, we applied single-cell transcriptomics and epigenomics, as well as whole-genome sequencing to 15 patients with relapsed/refractory multiple myeloma (RRMM). By profiling longitudinal samples throughout varying treatment regimens, we were able to interrogate patterns of evolution across patients. In particular, by defining clones based on copy number aberrations (CNAs), we found evidence for the majority of clones being diminished but not fully eradicated during treatment.

Type: Other
Archiver: European Genome-Phenome Archive (EGA)

5 Datasets 1 Publication

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
EGAD00001009679	subset of 11 samples (RNA-Seq and WGS) from study EGAS00001005973, which was published earlier and are linked here to study EGAS00001006538	HiSeq X Ten Illumina HiSeq 4000	1
EGAD00001009680	Paired RNA sequencing of 30 samples RRMM using Illumina TruSeq stranded mRNA kit and either HiSeq2000 or HiSeq X Ten for sequencing.	HiSeq X Ten Illumina HiSeq 2000 Illumina HiSeq 4000	30
EGAD00001009681	Paired scRNA sequencing using 10xgenomics library preparation and Illumina HiSeq4000 for sequencing of 2 samples RRMM (relapsed refractory multiple myeloma)	Illumina HiSeq 4000	2
EGAD00001009682	Here is mostly paired WGS data of RRMM, 45 samples (tumors and controls) in 86 runs. This data was produced by using Illumina TruSeq Nano DNA and NovaSeq6000 or HiSeq X Ten for sequencing. One tumor/control pair is WES data using Agilent SureSelect V5+UTRs and NovaSeq6000 for sequencing.	HiSeq X Ten Illumina NovaSeq 6000	45
EGAD00001009683	scATAC sequencing was performed of 29 samples of RRMM tumors using 10xGenomics for the preparation and NovaSeq6000 for sequencing.	Illumina NovaSeq 6000	29

Publications	Citations
Resolving therapy resistance mechanisms in multiple myeloma by multiomics subclone analysis. Poos AM, Prokoph N, Przybilla MJ, Mallm JP, Steiger S, Seufert I, John L, Tirier SM, Bauer K, Baumann A, Rohleder J, Munawar U, Rasche L, Kortüm KM, Giesen N, Reichert P, Huhn S, Müller-Tidow C, Goldschmidt H, Stegle O, Raab MS, Rippe K, Weinhold N. Blood 142: 2023 1633-1646	10