Abstract 5078: Sex-specific plasma-immune architectural differences in bone marrow predicts overall survival in multiple myeloma

Abstract Background: Multiple myeloma (MM) disproportionately affects men (57% vs. 43% women), yet the biological basis for these sex differences remains unexplored. The bone-marrow immune microenvironment, particularly plasma-immune spatial organisation, plays a critical role in disease progression and therapeutic response. Emerging evidence suggests that sex-specific immunologic differences contribute to disparities in cancer biology and outcomes, yet these patterns remain poorly characterised in MM. Understanding whether plasma-immune architectural features differ by sex and whether they carry prognostic value may inform more personalised risk stratification in MM. Methods: We identified 104 MM whole-slide bone-marrow biopsies from the Cancer Moonshot Biobank. Using pre-trained deep learning models, immune cells were segmented, followed by plasma cell detection. Morphological (density and spatial) patterns of plasma cells and other immune cells were quantified in peri-tumoral and non-tumoral compartments, and FDR-corrected Welch's t-tests were performed to compare gender specific differences. Prognostic associations of these features were assessed using univariate Cox proportional hazard models. Results: On comparing the immune cell phenotypes, males exhibited higher plasma density relative to tumor density (0.158 vs female 0.105, FDR p=0.029). Spatial analysis showed that males also had higher plasma-lymphocyte cluster overlap in the peri-tumoral stroma (0.418 vs female 0.238, FDR p= 0.036). In survival analysis, overlap of plasma-lymphocyte cluster was prognostic of overall survival: HR = 1.730 (95% CI: 1.074-2.787), p= 0.018, c-index = 0.552. In contrast, there were no significant differences in density or spatial features of lymphocytes across the genders. Conclusions: Plasma cell shows gender specific differences in density and spatial arrangement, despite no significant differences in lymphocyte morphology. These sex-specific patterns appear to predict survival, supporting the need for sex-stratified risk assessment and personalised prognostication strategies in MM. Citation Format: Dharini Raghavan, Advait Madabhushi, Amritpal Singh, Tilak Pathak, GERMAN CORREDOR, Ajay K. Nooka, Anant Madabhushi. Sex-specific plasma-immune architectural differences in bone marrow predicts overall survival in multiple myeloma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 5078.

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Journal
Cancer Research
Published
2026-04-03
DOI
https://doi.org/10.1158/1538-7445.am2026-5078
Primary Topic
Multiple Myeloma Research and Treatments
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article
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article

Abstract 5078: Sex-specific plasma-immune architectural differences in bone marrow predicts overall survival in multiple myeloma

Tilak Pathak, Amritpal Singh, A. Madabhushi, Dharini Raghavan et al.
Cancer Research
Multiple Myeloma Research and Treatments
article

Abstract 5078: Sex-specific plasma-immune architectural differences in bone marrow predicts overall survival in multiple myeloma

Tilak Pathak, Amritpal Singh, A. Madabhushi, Dharini Raghavan, Ajay K. Nooka, GERMAN CORREDOR
article en

Abstract

Abstract Background: Multiple myeloma (MM) disproportionately affects men (57% vs. 43% women), yet the biological basis for these sex differences remains unexplored. The bone-marrow immune microenvironment, particularly plasma-immune spatial organisation, plays a critical role in disease progression and therapeutic response. Emerging evidence suggests that sex-specific immunologic differences contribute to disparities in cancer biology and outcomes, yet these patterns remain poorly characterised in MM. Understanding whether plasma-immune architectural features differ by sex and whether they carry prognostic value may inform more personalised risk stratification in MM. Methods: We identified 104 MM whole-slide bone-marrow biopsies from the Cancer Moonshot Biobank. Using pre-trained deep learning models, immune cells were segmented, followed by plasma cell detection. Morphological (density and spatial) patterns of plasma cells and other immune cells were quantified in peri-tumoral and non-tumoral compartments, and FDR-corrected Welch's t-tests were performed to compare gender specific differences. Prognostic associations of these features were assessed using univariate Cox proportional hazard models. Results: On comparing the immune cell phenotypes, males exhibited higher plasma density relative to tumor density (0.158 vs female 0.105, FDR p=0.029). Spatial analysis showed that males also had higher plasma-lymphocyte cluster overlap in the peri-tumoral stroma (0.418 vs female 0.238, FDR p= 0.036). In survival analysis, overlap of plasma-lymphocyte cluster was prognostic of overall survival: HR = 1.730 (95% CI: 1.074-2.787), p= 0.018, c-index = 0.552. In contrast, there were no significant differences in density or spatial features of lymphocytes across the genders. Conclusions: Plasma cell shows gender specific differences in density and spatial arrangement, despite no significant differences in lymphocyte morphology. These sex-specific patterns appear to predict survival, supporting the need for sex-stratified risk assessment and personalised prognostication strategies in MM. Citation Format: Dharini Raghavan, Advait Madabhushi, Amritpal Singh, Tilak Pathak, GERMAN CORREDOR, Ajay K. Nooka, Anant Madabhushi. Sex-specific plasma-immune architectural differences in bone marrow predicts overall survival in multiple myeloma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 5078.

Cancer ResearchVol. 86(7_Supplement)
Georgia Institute of Technology (US), Emory University (US), Winship Cancer Institute
Openalex Percentile: Top 16%
Multiple Myeloma Research and Treatments
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