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Spatial Genomic Heterogeneity in Multiple Myeloma Revealed by Multi-region Sequencing

Abstract

In multiple myeloma malignant plasma cells expand within the bone marrow. Since this site is well-perfused, a rapid dissemination of "fitter" clones may be anticipated. However, an imbalanced distribution of multiple myeloma is frequently observed in medical imaging. Here, we perform multi-region sequencing, including iliac crest and radiology-guided focal lesion specimens from 51 patients to gain insight into the spatial clonal architecture. We demonstrate spatial genomic heterogeneity in more than 75% of patients, including inactivation of CDKN2C and TP53, and mutations affecting mitogen-activated protein kinase genes. We show that the extent of spatial heterogeneity is positively associated with the size of biopsied focal lesions consistent with regional outgrowth of advanced clones. The results support a model for multiple myeloma progression with clonal sweeps in the early phase and regional evolution in advanced disease. We suggest that multi-region investigations are critical to understanding intra-patient heterogeneity and the evolutionary processes in multiple myeloma.In multiple myeloma, malignant cells expand within bone marrow. Here, the authors use multi-region sequencing in patient samples to analyse spatial clonal architecture and heterogeneity, providing novel insight into multiple myeloma progression and evolution.

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References
1.
Bartel T, Haessler J, Brown T, Shaughnessy Jr J, van Rhee F, Anaissie E . F18-fluorodeoxyglucose positron emission tomography in the context of other imaging techniques and prognostic factors in multiple myeloma. Blood. 2009; 114(10):2068-76. PMC: 2744568. DOI: 10.1182/blood-2009-03-213280. View

2.
Zhang J, Fujimoto J, Zhang J, Wedge D, Song X, Zhang J . Intratumor heterogeneity in localized lung adenocarcinomas delineated by multiregion sequencing. Science. 2014; 346(6206):256-9. PMC: 4354858. DOI: 10.1126/science.1256930. View

3.
Morgan G, Walker B, Davies F . The genetic architecture of multiple myeloma. Nat Rev Cancer. 2012; 12(5):335-48. DOI: 10.1038/nrc3257. View

4.
Lopez-Anglada L, Gutierrez N, Garcia J, Mateos M, Flores T, San Miguel J . P53 deletion may drive the clinical evolution and treatment response in multiple myeloma. Eur J Haematol. 2009; 84(4):359-61. DOI: 10.1111/j.1600-0609.2009.01399.x. View

5.
Greipp P, San Miguel J, Durie B, Crowley J, Barlogie B, Blade J . International staging system for multiple myeloma. J Clin Oncol. 2005; 23(15):3412-20. DOI: 10.1200/JCO.2005.04.242. View