ArticleBlood2026
Circulating tumor cells in myeloma are a compound biomarker for bone marrow high-risk genomic alterations and tumor load.
Article in Blood, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Article
- Global bibliometric analysis of TP53-mutated acute myeloid leukemia: research hotspots and evolution.Translational cancer research · 2026Article
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24 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
abstractHigh 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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