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

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.

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Journal
Blood
Published
2025-12-18
DOI
https://doi.org/10.1182/blood.2025030083
Citations
1
Primary Topic
Multiple Myeloma Research and Treatments
Type
article
Field-Weighted Citation Impact
1.77
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Circulating tumor cells in myeloma are a compound biomarker for bone marrow high-risk genomic alterations and tumor load

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article

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

Pieter Sonneveld, Cathelijne Fokkema, Sabrin Tahri, Elodie C.G. Stoetman, Madelon M.E. de Jong, Zoltán Kellermayer, Vincent H. J. van der Velden, Chelsea den Hollander, Natalie Papazian, Gregory van Beek, Diego Vieyra, Remco Hoogenboezem, Davine Hofste op Bruinink, Robin L. Carson, Annemiek Broijl, Tom Cupedo, Mathijs A. Sanders, Luca Bertamini, Aurore Perrot, Mark van Duin, Michael Vermeulen, Philippe Moreau, Cyrille Hulin, Melissa Rowe
article en
1 citations

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.

BloodVol. 147(9)
Université Fédérale de Toulouse Midi-Pyrénées (FR), Erasmus MC (NL), Institut universitaire du cancer de Toulouse Oncopole (FR), Hôpital Cardiologique du Haut-Lévêque (FR), Adams Business Associates (United Kingdom) (GB), Hôtel-Dieu de Paris (FR), Johnson & Johnson (United Kingdom) (GB), Erasmus MC Cancer Institute (NL), Janssen (United States) (US), Erasmus University Rotterdam (NL)
Openalex Percentile: Top 10%
Multiple Myeloma Research and Treatments
1.77
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