Work

Circulating tumor cells in myeloma are a compound biomarker for bone marrow high-risk genomic alterations and tumor load

Year: 2025
Type: article
Study design: Observational Study
Abstract: ABSTRACT: High levels of circulating tumor cells (CTC) are a powerful predictor of poor outcomes in newly diagnosed multiple myeloma, yet the mechanistic underpinnings of this correlation remain unknown. To investigate whether CTC-related pathobiology is driven by a specific CTC subset, paired bone marrow and blood samples from patients with newly diagnosed multiple myeloma were analyzed by single-cell transcriptomics and whole-genome sequencing. This revealed that down to the individual clone level, CTC and paired bone marrow cells are transcriptionally similar, without evidence for a distinct circulating population. In contrast, bone marrow myeloma cells from patients with high CTC levels had increased proliferation and unbalanced primary genetic events, including enrichment for MAF and CCND translocations. To investigate the impact of heterogenic genomic events on CTC levels, whole-exome and bulk RNA sequencing from the Multiple Myeloma Research Foundation CoMMpass data set were analyzed and validated in our in-house data sets. Bone marrow tumor cells from patients with high CTC levels were uniformly characterized by transcriptomic signatures of proliferation. Furthermore, CTC levels were uniquely dependent on primary genomic events and high-risk secondary genomic events, including amplification 1q, deletion 1p, deletion 13q, biallelic TP53 mutations, and increased apolipoprotein B editing complex-induced mutations even in patients without MAF translocations. Finally, we developed a model that predicts the impact of genetic alterations and tumor burden on CTC levels. In sum, we reveal that CTC are the net result of tumor burden, primary translocations, and secondary genomic events, making CTC a powerful biomarker for genomics-driven high-risk disease in patients with newly diagnosed myeloma.
Source: Blood
Language: English
Subfield: Hematology
Field: Medicine
Open Access status: hybrid
Estimated APC paid: $5,500
OpenAlex ID: W4417467917
FWCI: 2.605
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Cited by: 4
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