PO.PS01.03 · 人群科学

骨髓中性别特异性的浆细胞-免疫结构差异可预测多发性骨髓瘤的总生存期

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

编号 5078 展板 18 时间 4/21 09:00–12:00 区域 Section 36 主讲 Dharini Raghavan
分会场 Etiology and Molecular Epidemiology Approaches to Decipher Cancer Disparities
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作者与单位 Authors & Affiliations

Dharini Raghavan1, Advait Madabhushi2, Amritpal Singh2, Tilak Pathak2, GERMAN CORREDOR2, Ajay K. Nooka3, Anant Madabhushi2

1Georgia Institute of Technology, Atlanta, GA,2Emory University, Atlanta, GA,3Assistant Professor, Emory University Winship Cancer Institute, Atlanta, GA

摘要 Abstract

中文摘要
背景:多发性骨髓瘤(MM)对男性的影响更大(57%对女性43%),但这些性别差异的生物学基础仍未得到探索。骨髓免疫微环境,尤其是浆细胞-免疫空间组织,在疾病进展和治疗反应中发挥关键作用。新出现的证据表明,性别特异性的免疫学差异促成了癌症生物学和结局的差异,但这些模式在MM中的特征仍描述不足。理解浆细胞-免疫结构特征是否因性别而异以及它们是否具有预后价值,可能为MM中更个性化的风险分层提供依据。 方法:我们从Cancer Moonshot Biobank识别出104张MM全切片骨髓活检。使用预训练的深度学习模型对免疫细胞进行分割,随后进行浆细胞检测。在肿瘤周围和非肿瘤区室中量化浆细胞和其他免疫细胞的形态学(密度和空间)模式,并进行FDR校正的Welch's t检验以比较性别特异性差异。使用单变量Cox比例风险模型评估这些特征的预后关联。 结果:在比较免疫细胞表型时,男性表现出相对于肿瘤密度更高的浆细胞密度(0.158对女性0.105,FDR p=0.029)。空间分析显示男性在肿瘤周围间质中也具有更高的浆细胞-淋巴细胞簇重叠(0.418对女性0.238,FDR p= 0.036)。在生存分析中,浆细胞-淋巴细胞簇的重叠可预测总生存期:HR = 1.730(95% CI:1.074-2.787),p= 0.018,c-index = 0.552。相比之下,淋巴细胞的密度或空间特征在性别之间无显著差异。 结论:尽管淋巴细胞形态无显著差异,浆细胞在密度和空间排列上表现出性别特异性差异。这些性别特异性模式似乎可预测生存,支持了在MM中开展性别分层风险评估和个性化预后策略的必要性。
查看英文原文 English 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.
利益披露 Disclosure
D. Raghavan, None.. A. Madabhushi, None.. A. Singh, None.. T. Pathak, None.. G. Corredor, None.. A. Madabhushi, None.

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