Multiple Myeloma Insights from Single-Cell Analysis: Clonal Evolution, the Microenvironment, Therapy Evasion, and Clinical Implications

dc.contributor.authorLi, Sihong
dc.contributor.authorLiu, Jiahui
dc.contributor.authorPeyton, Madeline
dc.contributor.authorLazaro, Olivia
dc.contributor.authorMcCabe, Sean D.
dc.contributor.authorHuang, Xiaoqing
dc.contributor.authorLiu, Yunlong
dc.contributor.authorShi, Zanyu
dc.contributor.authorZhang, Zhiqi
dc.contributor.authorWalker, Brian A.
dc.contributor.authorJohnson, Travis S.
dc.contributor.departmentBiostatistics and Health Data Science, Richard M. Fairbanks School of Public Health
dc.date.accessioned2025-03-21T12:35:46Z
dc.date.available2025-03-21T12:35:46Z
dc.date.issued2025-02-14
dc.description.abstractMultiple myeloma (MM) is a complex and heterogeneous hematologic malignancy characterized by clonal evolution, genetic instability, and interactions with a supportive tumor microenvironment. These factors contribute to treatment resistance, disease progression, and significant variability in clinical outcomes among patients. This review explores the mechanisms underlying MM progression, including the genetic and epigenetic changes that drive clonal evolution, the role of the bone marrow microenvironment in supporting tumor growth and immune evasion, and the impact of genomic instability. We highlight the critical insights gained from single-cell technologies, such as single-cell transcriptomics, genomics, and multiomics, which have enabled a detailed understanding of MM heterogeneity at the cellular level, facilitating the identification of rare cell populations and mechanisms of drug resistance. Despite the promise of advanced technologies, MM remains an incurable disease and challenges remain in their clinical application, including high costs, data complexity, and the need for standardized bioinformatics and ethical considerations. This review emphasizes the importance of continued research and collaboration to address these challenges, ultimately aiming to enhance personalized treatment strategies and improve patient outcomes in MM.
dc.eprint.versionFinal published version
dc.identifier.citationLi S, Liu J, Peyton M, et al. Multiple Myeloma Insights from Single-Cell Analysis: Clonal Evolution, the Microenvironment, Therapy Evasion, and Clinical Implications. Cancers (Basel). 2025;17(4):653. Published 2025 Feb 14. doi:10.3390/cancers17040653
dc.identifier.urihttps://hdl.handle.net/1805/46451
dc.language.isoen_US
dc.publisherMDPI
dc.relation.isversionof10.3390/cancers17040653
dc.relation.journalCancers
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourcePMC
dc.subjectClonal evolution
dc.subjectMultiple myeloma
dc.subjectMyeloma
dc.subjectOmics
dc.subjectPersonalized medicine
dc.subjectscRNA-seq
dc.subjectSingle cell
dc.subjectSingle-cell technologies
dc.subjectTumor microenvironment
dc.titleMultiple Myeloma Insights from Single-Cell Analysis: Clonal Evolution, the Microenvironment, Therapy Evasion, and Clinical Implications
dc.typeArticle
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