Bone Marrow Microenvironment–Driven Resistance in Multiple Myeloma: A Prospective Clinical and Molecular Correlation Study

RESEARCH ARTICLE
Open Access

Bone Marrow Microenvironment–Driven Resistance in Multiple Myeloma: A Prospective Clinical and Molecular Correlation Study

Thabo M. Nkosi 1, Ayesha K. Naidoo 2*  

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

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.


References

  1. 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
  2. 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
  3. Anderson KC, Carrasco RD. Pathogenesis of myeloma. Annu Rev Pathol. 2011;6:249–274. doi:10.1146/annurev-pathol-011110-130249
  4. 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
  5. 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
  6. 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
  7. Damiano JS, Dalton WS. Integrin-mediated drug resistance in multiple myeloma. Leuk Lymphoma. 2000;38(1-2):71–81. doi:10.3109/10428190009053519
  8. 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
  9. 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
  10. 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
  11. 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
  12. Vacca A, Ribatti D. Bone marrow angiogenesis in multiple myeloma. 2006;20(2):193–199. doi:10.1038/sj.leu.2404067
  13. Ribatti D, Nico B, Vacca A. Importance of angiogenesis in multiple myeloma. 2006;108(13):4332–4336. doi:10.1182/blood-2006-06-029611
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. Walker BA, Wardell CP, Melchor L, et al. Intraclonal heterogeneity in myeloma. 2012;120(5):1077–1086. doi:10.1182/blood-2012-04-421354
  20. McKenna RW. Multifactorial pathogenesis of multiple myeloma. Semin Diagn Pathol. 2001;18(4):197–203. doi:10.1053/sdpa.2001.29524
  21. 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
  22. 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
  23. 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
  24. Palumbo A, Rajkumar SV. Treatment of newly diagnosed myeloma. 2011;378(9785):122–134. doi:10.1016/S0140-6736(11)60272-5
  25. 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
  26. 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
  27. 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
  28. Stewart AK, Rajkumar SV, Dimopoulos MA, et al. Carfilzomib-based therapy. N Engl J Med. 2015;372(2):142–152. doi:10.1056/NEJMoa1411321
  29. 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
  30. 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
  31. Ghobrial IM. Myeloma as a model for the microenvironment. 2012;120(10):2055–2062. doi:10.1182/blood-2012-04-422311
  32. 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
  33. Kyle RA, Durie BG, Rajkumar SV, et al. IMWG criteria for diagnosis. 2009;23(1):3–9. doi:10.1038/leu.2008.291
  34. 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
  35. Terpos E, Ntanasis-Stathopoulos I, Dimopoulos MA. Myeloma bone disease. J Clin Oncol. 2020;38(6):661–670. doi:10.1200/JCO.19.01860
  36. 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
  37. 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
  38. 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
  39. 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
  40. Fonseca R, Bergsagel PL, Drach J, et al. Molecular classification of myeloma. 2009;23(12):2210–2221. doi:10.1038/leu.2009.174
  41. 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
  42. Dimopoulos MA, Terpos E, Boccadoro M, et al. Daratumumab therapy. N Engl J Med. 2016;375(14):1319–1331. doi:10.1056/NEJMoa1607751
  43. 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
  44. 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

Pages: 37–53
Received: 11 January 2026
Revised: 13 February 2026
Accepted: 11 March 2026
Published: 21 April 2026

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globalhematology. <span class="hpt_headertitle">Bone Marrow Microenvironment–Driven Resistance in Multiple Myeloma: A Prospective Clinical and Molecular Correlation Study</span>. Journal of Global Hematology. 2026.