PO.TB10.07 · 肿瘤生物学

黑色素瘤进展过程中前哨淋巴结免疫和基质微环境的空间重塑

Spatial remodeling of immune and stromal microenvironments in sentinel lymph nodes during melanoma progression

海报缩略图:黑色素瘤进展过程中前哨淋巴结免疫和基质微环境的空间重塑
编号 6193 展板 7 时间 4/21 02:00–05:00 区域 Section 31 主讲 Shankar Suman, PhD
分会场 Spatial Niches and Functional Boundaries within the Tumor Microenvironment 2
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作者与单位 Authors & Affiliations

Shankar Suman1, Wendy K. Nevala1, Noah A. Stueven1, Raymond M. Moore1, Chathu L. Atherton1, Jeffrey E. Johnson1, Ray Guo2, James W. Jakub2, Svetomir N. Markovic1

1Mayo Clinic, Rochester, MN,2Mayo Clinic, Jacksonville, FL

摘要 Abstract

中文摘要
前哨淋巴结(SLN)常是黑色素瘤扩散的第一个部位,也是决定局部肿瘤向全身转移播散的关键免疫检查点。尽管淋巴结在抗肿瘤免疫中处于核心地位,但使其易于发生转移的机制仍知之甚少。本研究采用空间成像技术,表征来自皮肤黑色素瘤患者的肿瘤阴性SLN(SLN⁻)和肿瘤阳性SLN(SLN⁺)中的免疫和基质表型改变,并与非黑色素瘤相关的正常淋巴结(NLN)进行比较。 我们对来自皮肤黑色素瘤患者和对照受试者的福尔马林固定石蜡包埋淋巴结组织进行了多重免疫荧光(MxIF)分析,每组包括两名受试者(NLN、SLN⁻和SLN⁺)。此外,使用QuPath进行定量单细胞分割和分类,生成了LN、SLN⁻和SLN⁺感兴趣区域中免疫、基质和肿瘤标志物的荧光强度中位数。除初步分析外,我们采用空间邻域分析来表征目标免疫群体周围的标志物表达谱。该方法基于标志物归一化强度的共表达模式和基质重塑特征量化了局部微环境。我们根据代表T细胞激活和耗竭、髓系极化、肿瘤相互作用、基质重塑和凋亡通路的功能板对这些标志物进行分组,从而深入了解SLN内促转移生态位如何演变。 归一化数据经中心对数比(CLR)变换和高斯混合模型(GMM)门控,在python中使用主成分分析、UMAP/tSNE嵌入和层次聚类进行分析。从正常NLN到SLN⁺观察到渐进性免疫重塑,包括调节性T细胞的扩增、耗竭T细胞以及髓系来源抑制细胞(MDSC)的富集,以及向M2样巨噬细胞表型的转变。SLN⁻样本的空间数据显示出免疫抑制的早期迹象,伴随细胞毒性能力降低。这些结果表明,SLN在转移播散的病理解剖之前即早期获得外周免疫耐受特征,支持存在一个促进肿瘤细胞淋巴定植的转移前生态位。这项工作为早期免疫逃逸提供了见解,并可能为黑色素瘤的免疫治疗和早期干预策略提供参考。
查看英文原文 English abstract
The sentinel lymph node (SLN) is often the first site of melanoma spread and a critical immune checkpoint that determines local tumor dissemination to systemic metastasis. Although lymph nodes are central to antitumor immunity, the mechanisms that render them permissive to metastasis remain poorly understood. This study used spatial imaging to characterize immune and stromal phenotypic alteration in tumor-negative SLNs (SLN⁻) and tumor-positive SLNs (SLN⁺) from patients with cutaneous melanoma, compared to non-melanoma-associated normal lymph nodes (NLN). We performed multiplex immunofluorescence (MxIF) analysis of formalin-fixed, paraffin-embedded lymph node tissues from patients with cutaneous melanoma and control subjects, including two subjects per group (NLN, SLN⁻, and SLN⁺). Furthermore, quantitative single-cell segmentation and classification using QuPath generated median fluorescence intensities for immune, stromal, and tumor markers across LN, SLN⁻ and SLN⁺ regions of interest. In addition to the initial analysis, we employed spatial neighborhood analysis to characterize markers expression profiles surrounding target immune population. This approach quantified local microenvironment based on marker normalized intensity-based co-expression pattern and stromal remodeling signatures. We grouped these markers based on the functional panels representing T-cell activation and exhaustion, myeloid polarization, tumor interaction, stromal remodeling, and apoptosis pathways providing insights into how prometastatic niche evolve within SLN. Normalized data, via centered log ratio (CLR) transformation and Gaussian Mixture Model (GMM) gating was analyzed using principal component analysis, UMAP/tSNE embedding, and hierarchical clustering in in python. Progressive immune remodeling was observed from normal NLN to SLN⁺, including expansion of regulatory T cells, enrichment of exhausted T cells as well as myeloid-derived suppressor cells (MDSC), and transition toward an M2-like macrophage phenotype. The spatial data from SLN⁻ samples showed an early sign of immune suppression, with reduced cytotoxic capacity. These results show that SLN gets features of peripheral immune tolerance for melanoma early, prior to pathological dissection of metastatic spread supporting the existence of a pre-metastatic niche that facilitates lymphatic colonization of tumor cells. This work provides insights into early immune escape and may inform strategies for immunotherapy and early intervention in melanoma.
利益披露 Disclosure
S. Suman, None.. N. A. Stueven, None.. R. M. Moore, None.. C. L. Atherton, None.. J. E. Johnson, None.. R. Guo, None.. J. W. Jakub, None.

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