Open Access
Bone Marrow Microenvironment–Driven Resistance in Multiple Myeloma: A Prospective Clinical and Molecular Correlation Study
1University of the Witwatersrand, Johannesburg, South Africa
2University of Cape Town, Cape Town, South Africa
Copyright: © 2026 Naidoo, et al. This is an open-access article under a Creative Commons license (CC BY 4.0).
ABSTRACT
Background
Multiple myeloma (MM) remains an incurable plasma cell malignancy characterized by progressive disease and the development of therapeutic resistance. Increasing evidence suggests that the bone marrow microenvironment (BMM) plays a critical role in promoting tumor survival, immune evasion, and resistance to therapy. However, data from sub-Saharan Africa remain limited, particularly in populations with a high burden of comorbidities such as HIV infection.
Objectives
To evaluate the role of bone marrow microenvironment–driven mechanisms in mediating treatment resistance in patients with multiple myeloma in South Africa, through integrated clinical, immunological, and molecular analyses.
Methods
This prospective observational cohort study included 150 patients with newly diagnosed or relapsed/refractory multiple myeloma recruited from tertiary centers in South Africa. Clinical data, treatment response, and survival outcomes were collected over a median follow-up of 18 months. Bone marrow samples were analyzed using flow cytometry, cytokine profiling, gene expression analysis, and immunohistochemistry to assess microenvironmental factors including cytokine levels, immune checkpoint expression, angiogenesis, and resistance-associated pathways. Statistical analyses included Kaplan–Meier survival estimates and multivariate Cox regression modeling.
Results
A total of 138 patients were included in the final analysis. The median age was 59 years, and 28% were HIV-positive. Overall response rate was 74%, with 26% of patients exhibiting refractory disease.
Refractory patients demonstrated significantly elevated levels of:
IL-6 (34.7 vs 18.5 pg/mL, p < 0.001)
VEGF (262 vs 145 pg/mL, p < 0.001)
TNF-α (p < 0.001)
Increased PD-L1 expression (48% vs 27%, p = 0.003) and reduced NK cell proportions (p = 0.01) were observed in resistant cases.
Microvessel density was significantly higher in refractory patients (38 ± 9 vs 21 ± 7 vessels/HPF, p < 0.001). Gene expression analysis revealed upregulation of BCL2, MDR1, HIF-1α, STAT3, and AKT in resistant disease.
Elevated IL-6 (HR 2.6, p < 0.001), PD-L1 expression (HR 1.9, p = 0.006), and R-ISS stage III (HR 2.3, p < 0.001) were independent predictors of treatment resistance. Median progression-free survival was significantly shorter in refractory patients (8.2 vs 16.8 months, p < 0.001).
Conclusion
The bone marrow microenvironment is a key determinant of therapeutic resistance in multiple myeloma, driven by cytokine signaling, immune evasion, angiogenesis, and hypoxia-related pathways. These findings highlight the importance of incorporating microenvironment-targeted strategies into treatment paradigms, particularly in resource-limited settings. Understanding these mechanisms in African populations is essential for improving outcomes and developing context-specific therapeutic approaches.
Keywords: Multiple myeloma; Bone marrow microenvironment; Drug resistance; Cytokines; Angiogenesis; PD-L1; HIV.
Recommended Citation
Nkosi TM, Naidoo AK. Bone Marrow Microenvironment–Driven Resistance in Multiple Myeloma: A Prospective Clinical and Molecular Correlation Study. Journal of Global Hematology. 2026;4(1):1-15.
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.
- Kumar SK, Rajkumar SV. The multiple myelomas – current concepts in cytogenetic classification and therapy. Nat Rev Clin Oncol. 2018;15(7):409–421. doi:10.1038/s41571-018-0018-y
- Rajkumar SV. Multiple myeloma: 2020 update on diagnosis, risk-stratification and management. Am J Hematol. 2020;95(5):548–567. doi:10.1002/ajh.25791
- Anderson KC, Carrasco RD. Pathogenesis of myeloma. Annu Rev Pathol. 2011;6:249–274. doi:10.1146/annurev-pathol-011110-130249
- Hideshima T, Mitsiades C, Tonon G, et al. Understanding multiple myeloma pathogenesis in the bone marrow microenvironment. Nat Rev Cancer. 2007;7(8):585–598. doi:10.1038/nrc2189
- Kyle RA, Rajkumar SV. Epidemiology of multiple myeloma. Best Pract Res Clin Haematol. 2007;20(4):637–664. doi:10.1016/j.beha.2007.08.007
- Blimark C, Holmberg E, Mellqvist UH, et al. Multiple myeloma and infections: a population-based study. 2015;100(1):107–113. doi:10.3324/haematol.2014.107714
- Damiano JS, Dalton WS. Integrin-mediated drug resistance in multiple myeloma. Leuk Lymphoma. 2000;38(1-2):71–81. doi:10.3109/10428190009053519
- Meads MB, Hazlehurst LA, Dalton WS. The bone marrow microenvironment as a tumor sanctuary. Nat Rev Cancer. 2008;8(9):659–671. doi:10.1038/nrc2465
- Kawano M, Hirano T, Matsuda T, et al. Autocrine generation of IL-6 in multiple myeloma. 1988;332(6159):83–85. doi:10.1038/332083a0
- Heinrich PC, Behrmann I, Müller-Newen G, et al. Interleukin-6-type cytokine signalling. Biochem J. 1998;334(Pt 2):297–314. doi:10.1042/bj3340297
- Hideshima T, Chauhan D, Schlossman R, et al. The role of tumor necrosis factor α in multiple myeloma. 2001;98(3):849–856. doi:10.1182/blood.V98.3.849
- Vacca A, Ribatti D. Bone marrow angiogenesis in multiple myeloma. 2006;20(2):193–199. doi:10.1038/sj.leu.2404067
- Ribatti D, Nico B, Vacca A. Importance of angiogenesis in multiple myeloma. 2006;108(13):4332–4336. doi:10.1182/blood-2006-06-029611
- Pratt G. Immunodeficiency and immunotherapy in multiple myeloma. Br J Haematol. 2017;138(5):563–579. doi:10.1111/j.1365-2141.2007.06705.x
- Tamura H, Ishibashi M, Yamashita T, et al. PD-L1 expression in multiple myeloma. 2013;27(3):655–658. doi:10.1038/leu.2012.275
- Hu J, Van Valckenborgh E, Xu D, et al. Synergistic induction of multiple myeloma cell death. 2013;121(13):2610–2619. doi:10.1182/blood-2012-03-414771
- Martin SK, Diamond P, Gronthos S, et al. Hypoxia and hypoxia-inducible factors in multiple myeloma. 2011;25(10):1533–1542. doi:10.1038/leu.2011.122
- Bolli N, Avet-Loiseau H, Wedge DC, et al. Heterogeneity of genomic evolution in multiple myeloma. Nat Commun. 2014;5:2997. doi:10.1038/ncomms3997
- Walker BA, Wardell CP, Melchor L, et al. Intraclonal heterogeneity in myeloma. 2012;120(5):1077–1086. doi:10.1182/blood-2012-04-421354
- McKenna RW. Multifactorial pathogenesis of multiple myeloma. Semin Diagn Pathol. 2001;18(4):197–203. doi:10.1053/sdpa.2001.29524
- Kumar SK, Callander NS, Alsina M, et al. NCCN guidelines insights: multiple myeloma. J Natl Compr Canc Netw. 2018;16(1):11–20. doi:10.6004/jnccn.2018.0002
- Lonial S, Durie BG, Palumbo A, et al. Monoclonal antibodies in multiple myeloma. 2016;128(7):902–910. doi:10.1182/blood-2016-03-647859
- San Miguel JF, Schlag R, Khuageva NK, et al. Bortezomib plus melphalan and prednisone. N Engl J Med. 2008;359(9):906–917. doi:10.1056/NEJMoa0801479
- Palumbo A, Rajkumar SV. Treatment of newly diagnosed myeloma. 2011;378(9785):122–134. doi:10.1016/S0140-6736(11)60272-5
- Dimopoulos MA, Moreau P, Terpos E, et al. Multiple myeloma: EHA-ESMO guidelines. Ann Oncol. 2021;32(3):309–322. doi:10.1016/j.annonc.2020.11.014
- Richardson PG, Sonneveld P, Schuster MW, et al. Bortezomib therapy in relapsed myeloma. N Engl J Med. 2005;352(24):2487–2498. doi:10.1056/NEJMoa050239
- Attal M, Lauwers-Cances V, Hulin C, et al. Lenalidomide maintenance after transplant. N Engl J Med. 2012;366(19):1782–1791. doi:10.1056/NEJMoa1114138
- Stewart AK, Rajkumar SV, Dimopoulos MA, et al. Carfilzomib-based therapy. N Engl J Med. 2015;372(2):142–152. doi:10.1056/NEJMoa1411321
- Moreau P, San Miguel J, Sonneveld P, et al. Multiple myeloma: ESMO guidelines. Ann Oncol. 2017;28(suppl_4):iv52–iv61. doi:10.1093/annonc/mdx096
- Laubach JP, Richardson PG, Anderson KC. The evolution and impact of therapy. Nat Rev Clin Oncol. 2011;8(10):587–598. doi:10.1038/nrclinonc.2011.90
- Ghobrial IM. Myeloma as a model for the microenvironment. 2012;120(10):2055–2062. doi:10.1182/blood-2012-04-422311
- Mateos MV, San Miguel JF. Treatment in the elderly. Best Pract Res Clin Haematol. 2007;20(4):787–797. doi:10.1016/j.beha.2007.08.015
- Kyle RA, Durie BG, Rajkumar SV, et al. IMWG criteria for diagnosis. 2009;23(1):3–9. doi:10.1038/leu.2008.291
- Palumbo A, Avet-Loiseau H, Oliva S, et al. Revised ISS for myeloma. J Clin Oncol. 2015;33(26):2863–2869. doi:10.1200/JCO.2015.61.2267
- Terpos E, Ntanasis-Stathopoulos I, Dimopoulos MA. Myeloma bone disease. J Clin Oncol. 2020;38(6):661–670. doi:10.1200/JCO.19.01860
- Zavidij O, Haradhvala NJ, Mouhieddine TH, et al. Single-cell RNA sequencing in myeloma. Nat Med. 2020;26(1):113–123. doi:10.1038/s41591-019-0704-8
- Costa LJ, Brill IK, Omel J, et al. Recent trends in survival of myeloma. 2017;31(9):1912–1918. doi:10.1038/leu.2017.133
- Cowan AJ, Allen C, Barac A, et al. Global burden of multiple myeloma. JAMA Oncol. 2018;4(9):1221–1227. doi:10.1001/jamaoncol.2018.2128
- Ludwig H, Bolejack V, Crowley J, et al. Survival and years of life lost. J Clin Oncol. 2010;28(9):1599–1605. doi:10.1200/JCO.2009.25.0214
- Fonseca R, Bergsagel PL, Drach J, et al. Molecular classification of myeloma. 2009;23(12):2210–2221. doi:10.1038/leu.2009.174
- Avet-Loiseau H. Role of genetics in myeloma. Hematology Am Soc Hematol Educ Program. 2012;2012:542–549. doi:10.1182/asheducation-2012.1.542
- Dimopoulos MA, Terpos E, Boccadoro M, et al. Daratumumab therapy. N Engl J Med. 2016;375(14):1319–1331. doi:10.1056/NEJMoa1607751
- Raje N, Berdeja J, Lin Y, et al. Anti-BCMA CAR T-cell therapy. N Engl J Med. 2019;380(18):1726–1737. doi:10.1056/NEJMoa1817226
- Munshi NC, Anderson LD Jr, Shah N, et al. Idecabtagene vicleucel in myeloma. N Engl J Med. 2021;384(8):705–716. doi:10.1056/NEJMoa2024850

