The spatio-temporal evolution of multiple myeloma from baseline to relapse-refractory states
dc.contributor.author | Rasche, Leo | |
dc.contributor.author | Schinke, Carolina | |
dc.contributor.author | Maura , Francesco | |
dc.contributor.author | Bauer , Michael A. | |
dc.contributor.author | Ashby, Cody | |
dc.contributor.author | Deshpande , Shayu | |
dc.contributor.author | Poos , Alexandra M. | |
dc.contributor.author | Zangari , Maurizio | |
dc.contributor.author | Thanendrarajan, Sharmilan | |
dc.contributor.author | Davies, Faith E. | |
dc.contributor.author | Walker, Brian A. | |
dc.contributor.author | Barlogie, Bart | |
dc.contributor.author | Landgren, Ola | |
dc.contributor.author | Morgan, Gareth J. | |
dc.contributor.author | van Rhee, Frits | |
dc.contributor.author | Weinhold , Niels | |
dc.contributor.department | Medicine, School of Medicine | |
dc.date.accessioned | 2024-05-14T19:27:19Z | |
dc.date.available | 2024-05-14T19:27:19Z | |
dc.date.issued | 2022-08-03 | |
dc.description.abstract | Deciphering Multiple Myeloma evolution in the whole bone marrow is key to inform curative strategies. Here, we perform spatial-longitudinal whole-exome sequencing, including 140 samples collected from 24 Multiple Myeloma patients during up to 14 years. Applying imaging-guided sampling we observe three evolutionary patterns, including relapse driven by a single-cell expansion, competing/co-existing sub-clones, and unique sub-clones at distinct locations. While we do not find the unique relapse sub-clone in the baseline focal lesion(s), we show a close phylogenetic relationship between baseline focal lesions and relapse disease, highlighting focal lesions as hotspots of tumor evolution. In patients with ≥3 focal lesions on positron-emission-tomography at diagnosis, relapse is driven by multiple distinct sub-clones, whereas in other patients, a single-cell expansion is typically seen (p < 0.01). Notably, we observe resistant sub-clones that can be hidden over years, suggesting that a prerequisite for curative therapies would be to overcome not only tumor heterogeneity but also dormancy. | |
dc.eprint.version | Final published version | |
dc.identifier.citation | Rasche, L., Schinke, C., Maura, F., Bauer, M. A., Ashby, C., Deshpande, S., Poos, A. M., Zangari, M., Thanendrarajan, S., Davies, F. E., Walker, B. A., Barlogie, B., Landgren, O., Morgan, G. J., van Rhee, F., & Weinhold, N. (2022). The spatio-temporal evolution of multiple myeloma from baseline to relapse-refractory states. Nature Communications, 13(1), 4517. https://doi.org/10.1038/s41467-022-32145-y | |
dc.identifier.uri | https://hdl.handle.net/1805/40743 | |
dc.language.iso | en_US | |
dc.publisher | Springer | |
dc.relation.isversionof | 10.1038/s41467-022-32145-y | |
dc.relation.journal | Nature Communications | |
dc.rights | Attribution 4.0 International | en |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
dc.source | Publisher | |
dc.subject | Cancer genomics | |
dc.subject | Cancer imaging | |
dc.subject | Myeloma | |
dc.subject | Tumour heterogeneity | |
dc.title | The spatio-temporal evolution of multiple myeloma from baseline to relapse-refractory states | |
dc.type | Article |