1. Van de Donk NWCJ, Pawlyn C, Yong KL. Multiple myeloma. Lancet. 2021;397(10272):410-27. doi: 10.1016/S0140-6736(21)00135-5.
2. Kumar S, Rajkumar V, Kyle R, et al. Multiple myeloma. Nat Rev Dis Primers. 2017;3:17046. doi:10.1038/nrdp.2017.46.
3. Went M, Sud A, Forsti A, et al. Identification of multiple risk loci and regulatory mechanisms influencing susceptibility to multiple myeloma. Nat Commun. 2018;9(1): 1-10. doi:10.1038/s41467-018-08107-8.
4. Menetski JP, Hoffmann SC, Cush SS, et al. The Foundation for the National Institutes of Health Biomarkers Consortium: Past Accomplishments and New Strategic Direction. Clin Pharmacol Ther.2019;105:829-43. doi:10.1002/cpt.1362.
5. Pawlyn C, Davies FE. Toward personalized treatment in multiple myeloma based on molecular characteristics. Blood. 133;7:660-75. doi:10.1182/blood-2018-09-825331.
6. Bhutani M, Landgren O, Usmani SZ. Multiple myeloma: is it time for biomarker-driven therapy? American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting. 2015;e493-503. doi:10.14694/EdBook_AM.2015.35.e493.
7. Zhang F, Guo R, Cui W, et al. Untargeted serum metabolomics and tryptophan metabolism profiling in type 2 diabetic patients with diabetic glomerulopathy. Ren Fail. 2021;43(1):980-92. doi: 10.1080/0886022X.2021.1937219.
8. Salvatore M, Beesley LJ, Fritsche LG, et al. Phenotype risk scores (PheRS) for pancreatic cancer using time-stamped electronic health record data: Discovery and validation in two large biobanks. J Biomed Inform. 2021; 113:103652. doi: 10.1016/j.jbi.2020.103652.
9. Илларионов Р. А., Косякова О. В., Вашукова Е. С. и др. Особенности создания коллекции образцов беременных женщин на разных сроках гестации для поиска ранних биомаркеров преждевременных родов. Кардиоваскулярная терапия и профилактика. 2020;19(6):2708. doi:10.15829/1728-8800-2020-2708.
10. Гривцова Л. Ю., Поповкина О. Е., Духова Н. Н. и др. Клеточный биобанк как необходимая инфраструктура для разработки и внедрения клеточной тера-пиина основе мезенхимальных стволовых клеток в комплексном лечении антрациклиновой кардиотоксичности. Обзор литературы и собственные данные. Кардиоваскулярная терапия и профилактика. 2020;19(6):2733. doi:10.15829/1728-8800-2020-2733.
11. Драпкина О. М. Российская “Национальная ассоциация биобанков и специалистов по биобанкированию” — инструмент интеграции российских биобанков и повышения эффективности биомедицинских исследований. Кардиоваскулярная терапия и профилактика. 2020;19(6):2757. doi:10.15829/1728-8800-2020-2757.
12. Boyum A. Separation of leukocytes from blood and bone marrow. Scand J Clin Lab Invest. 1968;21(97):1-9.
13. Зудерман Н. Е., Ушакова Н. Д., Лысенко И. Б. и др. Опыт применения селективного плазмообмена у больных первично выявленной секретирующей множественной миеломой. Вестник интенсивной терапии имени А. И. Салтанова. 2019;2:98-104. doi:10.21320/1818-474X-2019-2-98-104.
14. Rajkumar S, Gupta V, Fonseca R, et al. Impact of primary molecular cytogenetic abnormalities and risk of progression in smoldering multiple myeloma. Leukemia. 2013;27:1738-44. doi:10.1038/leu.2013.86.
15. Palumbo A, Avet-Loiseau H, Oliva S, et al. Revised international staging system for multiple myeloma: a report from International Myeloma Working Group. J Clin Oncol. 2015;33;26:2863. doi:10.1200/JCO.2015.61.2267.
16. Rasche L, Chavan SS, Stephens OW, et al. Spatial genomic heterogeneity in multiple myeloma revealed by multi-region sequencing. Nat Commun. 2017;8:268. doi:10.1038/s41467-017-00296-y.
17. Wan JCM, Massie C, Garcia-Corbacho J, et al. Liquid biopsies come of age: towards implementation of circulating tumour DNA. Nat Rev Cancer. 2017;17:223-38. doi:10.1038/nrc.2017.7.
18. Kis O, Kaedbey R, Chow S, et al. Circulating tumour DNA sequence analysis as an alternative to multiple myeloma bone marrow aspirates. Nat Commun. 2017;8;15086. doi: 10.1038/ncomms15086.
19. Mithraprabhu S, Khong T, Ramachandran M, et al. Circulating tumour DNA analysis demonstrates spatial mutational heterogeneity that coincides with disease relapse in myeloma. Leukemia. 2017;31:1695-705. doi:10.1038/leu.2016.366.
20. Bolli N, Avet-Loiseau H, Wedge DC, et al. Heterogeneity of genomic evolution and mutational profiles in multiple myeloma. Nat Commun. 2014;5:2997 doi:10.1038/ncomms3997.
21. Walker BA, Mavrommatis K, Wardell CP, et al. Identification of novel mutational drivers reveals oncogene dependencies in multiple myeloma. Blood. 2018;132:587-97 doi: 10.1182/blood-2018-03-840132.
22. Manier S, Park J, Capelletti M, et al. Whole-exome sequencing of cell-free DNA and circulating tumor cells in multiple myeloma. Nat Commun. 2018;9:1691. doi:10.1038/s41467-018-04001-5.
23. Ravi G, Gonsalves WL. Current Diagnosis, Risk Stratification and Treatment Paradigms in Newly Diagnosed Multiple Myeloma. Cancer Treat Res Commun. 2021:100444. doi: 10.1016/j.ctarc.2021.100444.
24. Nandakumar B, Binder M, Dispenzieri A, et al. Continued improvement in survival in multiple myeloma (MM) including high-risk patients. J Clin Oncol. 2019.378039. doi: 10.1200/JCO.2019.37.15_suppl.8039.
25. Razavi P, Li BT, Brown DN, et al. High-intensity sequencing reveals the sources of plasma circulating cell-free DNA variants. Nat Med. 2019;25:1928-37 doi:10.1038/s41591-019-0652-7.
26. Garces JJ, Simicek M, Vicari M, et al. Transcriptional profiling of circulating tumor cells in multiple myeloma: a new model to understand disease dissemination. Leukemia. 2020;34:589-603. doi:10.1038/s41375-019-0588-4.
27. Bianchi G, Kyle RA, Larson DR, et al. High levels of peripheral blood circulating plasma cells as a specific risk factor for progression of smoldering multiple myeloma. Leukemia. 2013;27:680-85. doi:10.1038/leu.2012.237.
28. Gonsalves WI, Rajkumar SV, Gupta V, et al. Quantification of clonal circulating plasma cells in newly diagnosed multiple myeloma: implications for redefining high-risk myeloma. Leukemia. 2014;28:2060-5. doi:10.1038/leu.2014.98.
29. Sanoja-Flores L, Flores-Montero J, Garces JJ, et al. Next generation flow for minimally-invasive blood characterization of MGUS and multiple myeloma at diagnosis based on circulating tumor plasma cells (CTPC). Blood Cancer J. 2018;8:117 doi:10.1038/s41408-018-0153-9.
30. Garces JJ, Bretones G, Burgos L, et al. Circulating tumor cells for comprehensive and multiregional non-invasive genetic characterization of multiple myeloma. Leukemia. 2020;34:3007-18. doi:10.1038/s41375-020-0883-0.