PO.TB10.02 · 肿瘤生物学
组织学生长模式决定肝转移灶中免疫细胞的空间分布
Histologic growth pattern dictates immune cell spatial topography in liver metastases
作者与单位 Authors & Affiliations
摘要 Abstract
中文摘要
背景:结直肠癌肝转移是与该疾病相关的主要死亡原因之一,其管理仍是一个临床挑战,需要日益精准的诊断和治疗策略。我们此前曾报道,具有促纤维增生性组织学生长模式(dHGP)的结直肠癌肝转移(CRCLM)具有更具细胞毒性的免疫环境,在肿瘤巢上富集CD8⁺淋巴细胞。FoxP3⁺细胞跟随CD8⁺细胞分布,但CD4⁺FoxP3⁺(Tregs)未表现出差异。在此,我们聚焦于一种罕见的淋巴细胞亚群:CD8⁺FoxP3⁺细胞。
方法:我们对100例以HGP为特征的CRCLM患者的组织样本应用了带免疫细胞标志物的多重IHC panel。细胞类别包括细胞角蛋白(CK)阳性细胞、CD8、CD4、CD4⁺FoxP3⁺、CD8⁺FoxP3⁺、CD20⁺和HSA(肝细胞特异性抗原)。细胞密度定义为每mm²的细胞数量。为解析空间模式,我们计算了邻域富集(ENR)和对相关函数(PCF)。ENR评估了到k个最近邻的距离(k=5-100),并在控制细胞密度的同时量化了细胞类别之间的吸引或回避。PCF在径向距离(10-50 μm)上计算。
结果:初步细胞密度分析表明,CD8⁺FoxP3⁺细胞在dHGP中显著更为丰富(p=0.003),遵循与较大CD8+细胞集相似的排列(p=0.007)。经细胞密度校正的空间分析显示了更复杂的模式。第一,CD8⁺FoxP3⁺在非dHGP中表现出对CD8细胞的强空间吸引,而在dHGP中(两种细胞类型均显著更丰富),它们倾向于分散(经五种空间度量的一致性证实,k=5-50,r=50,p=0.01-0.004)。第二,在dHGP中,CD8⁺FoxP3⁺细胞强烈倾向于与CD20⁺(B细胞)相邻(经五种空间度量的一致性证实,k=5-25,p=0.05-0.005)。第三,CD8⁺FoxP3⁺细胞在dHGP中表现出对癌细胞的吸引,由ENR在k=5-25时检测到(p=0.01),提示最近邻近或直接接触。
结论:在非dHGP中观察到的CD8⁺FoxP3⁺与CD8⁺细胞之间的相邻倾向,提示这两种T细胞亚群之间存在强烈的生物学相互作用,或CD8⁺谱系状态之间的动态转换。在dHGP中,CD8⁺FoxP3⁺细胞则被重新导向富含CD20⁺ B细胞的区域,并表现出对CK阳性肿瘤细胞的最近邻吸引,这与其定位于三级淋巴结构(TLS)样生态位内或附近以及肿瘤-基质界面处相一致。总的来说,这提供了对CRCLM中CD8⁺FoxP3⁺细胞的首次空间解析描述,并凸显了它们的丰度和邻域背景可能是造成dHGP与非dHGP肝转移灶不同免疫结构和临床行为的潜在因素。
查看英文原文 English abstract
Background: Hepatic metastases from colorectal cancer represent one of the leading causes of mortality associated with this disease, and their management remains a clinical challenge that requires increasingly precise diagnostic and therapeutic strategies. We have previously reported colorectal liver metastases (CRCLM) with desmoplastic histological growth pattern (dHGP) to have more cytotoxic immune environment, enriched by CD8⁺ lymphocytes over tumor nests. FoxP3⁺ cells followed the CD8⁺, but CD4⁺FoxP3⁺ (Tregs) did not demonstrate difference. Here we focused on rare lymphocyte subset: CD8⁺FoxP3⁺ cells.
Methods: We applied multiplex IHC panel with immune cell markers for tissue samples from 100 patients with CRCLM, characterized by HGP. Cell classes included Cytokeratin (CK)-positive cells, CD8, CD4, CD4⁺FoxP3⁺, CD8⁺FoxP3⁺, CD20⁺ and HSA (Hepatocyte specific antigen). Cell density defined as number of cells per mm 2 . To resolve spatial patterns, we computed neighborhood enrichment (ENR) and the pair correlation function (PCF). ENR, evaluated distance to k-nearest neighbors (k=5-100), and quantified attraction or avoidance between cell classes while controlling for cell density. PCF, computed over radial distances (10-50 µm).
Results: The initial cell density analysis demonstrated that CD8⁺FoxP3⁺ cells were significantly more abundant in dHGP (p=0.003), following similar arrangement of larger CD8+ cell set (p=0.007). Spatial analysis, adjusted to cell density, demonstrated more complex patterns. First , CD8⁺FoxP3⁺ showed strong spatial attraction to CD8 cells in non-dHGP, while in dHGP, where both cell types were significantly more abundant, they tended to disperse (confirmed by agreement across five spatial metrics, with k=5-50, r=50, p=0.01-0.004). Second, In dHGP, the CD8⁺FoxP3⁺ cells had strong tendency to neighbor to CD20⁺ (B-cells) (confirmed by agreement across five spatial metrics, with k=5-25, p=0.05-0.005). Third, CD8⁺FoxP3⁺ cells demonstrated attraction to cancer cells, in dHGP, detected by ENR at k=5-25 (p=0.01), indicating nearest vicinity or direct contact.
Conclusions: The neighboring tendencies observed between CD8⁺FoxP3⁺ and CD8⁺ cells in non-dHGP, suggest either a strong biological interaction between these two T-cell subsets or dynamic conversion between states of CD8⁺ linage. In dHGP, CD8⁺FoxP3⁺ cells were instead redirected toward CD20⁺ B-cell rich areas and showed nearest-neighbor attraction to CK-positive tumor cells, consistent with positioning in or near tertiary lymphoid structure (TLS)-like niches and at the tumor-stroma interface. Altogether, this provides the first spatially resolved description of CD8⁺FoxP3⁺ cells in CRCLM and highlights their abundance and neighborhood context as potential contributors to the distinct immune architectures and clinical behavior of dHGP versus non-dHGP liver metastases.
利益披露 Disclosure
A. Mezheyeuski, None..
G. Garcia-Vicién, None..
N. Ruiz, None..
J. C. Ruffinelli, None..
K. Mils, None..
M. Bañuls, None..
N. Molina, None..
M. A. Pardo, None..
L. Lladó, None..
P. Micke, None..
D. G. Mollevi, None.