MinimuMM-seq: Genome Sequencing of Circulating Tumor Cells for Minimally Invasive Molecular Characterization of Multiple Myeloma Pathology
| Autor: | Ankit K. Dutta, Jean-Baptiste Alberge, Elizabeth D. Lightbody, Cody J. Boehner, Andrew Dunford, Romanos Sklavenitis-Pistofidis, Tarek H. Mouhieddine, Annie N. Cowan, Nang Kham Su, Erica M. Horowitz, Hadley Barr, Laura Hevenor, Jenna B. Beckwith, Jacqueline Perry, Amanda Cao, Ziao Lin, Frank K. Kuhr, Richard G. Del Mastro, Omar Nadeem, Patricia T. Greipp, Chip Stewart, Daniel Auclair, Gad Getz, Irene M. Ghobrial |
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| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | Cancer Discovery. :OF1-OF16 |
| ISSN: | 2159-8290 2159-8274 |
| Popis: | Abstract Multiple myeloma (MM) develops from well-defined precursor stages; however, invasive bone marrow (BM) biopsy limits screening and monitoring strategies for patients. We enumerated circulating tumor cells (CTC) from 261 patients (84 monoclonal gammopathy of undetermined significance, 155 smoldering multiple myeloma, and 22 MM), with neoplastic cells detected in 84%. We developed a novel approach, MinimuMM-seq, which enables the detection of translocations and copy-number abnormalities through whole-genome sequencing of highly pure CTCs. Application to CTCs in a cohort of 51 patients, 24 with paired BM, was able to detect 100% of clinically reported BM biopsy events and could replace molecular cytogenetics for diagnostic yield and risk classification. Longitudinal sampling of CTCs in 8 patients revealed major clones could be tracked in the blood, with clonal evolution and shifting dynamics of subclones over time. Our findings provide proof of concept that CTC detection and genomic profiling could be used clinically for monitoring and managing disease in MM. Significance: In this study, we established an approach enabling the enumeration and sequencing of CTCs to replace standard molecular cytogenetics. CTCs harbored the same pathognomonic MM abnormalities as BM plasma cells. Longitudinal sampling of serial CTCs was able to track clonal dynamics over time and detect the emergence of high-risk genetic subclones. |
| Databáze: | OpenAIRE |
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