Single-cell multi-omics of relapse/refractory multiple myeloma patients (Hipo K08K/H067/K43R)
收藏NIAID Data Ecosystem2026-05-01 收录
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https://www.omicsdi.org/dataset/ega/EGAS00001006538
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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.EGA study EGAS00001006538
创建时间:
2024-01-23



