一种用于克服非小细胞肺癌治疗中抗原异质性的多靶向 CAR-T 细胞平台
A Multi-Targeting Chimeric Antigen Receptor-T Cell Platform to Overcome Antigen Heterogeneity in the Treatment of Non-Small Cell Lung Cancer.
这些发现支持采用多靶点CAR-T 策略来应对NSCLC及可能其他实体瘤中的抗原异质性。
CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:Objective Analysis and Clinical Significance of the Spatial Tumor-Infiltrating Lymphocyte Patterns in Non-Small Cell Lung Cancer.
Objective Analysis and Clinical Significance of the Spatial Tumor-Infiltrating Lymphocyte Patterns in Non-Small Cell Lung Cancer.
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我们的结果确定了与定性空间 TIL 模式评估相关的主要挑战。
肿瘤床内淋巴细胞的空间分布(如免疫浸润型、免疫排斥型、免疫荒漠型)预计可反映不同的免疫逃逸机制,并与免疫治疗结局相关。然而,支持这些关联的数据稀少,且受限于缺乏明确的淋巴细胞浸润模式定义,以及基于病理学方法的主观性。 实验设计:我们利用多重免疫荧光,对接受免疫检查点抑制剂(ICI)治疗的非小细胞肺癌(NSCLC)患者基线全组织切片样本中的主要TIL(肿瘤浸润淋巴细胞)亚群进行单细胞分辨率分析。空间TIL模式采用病理学家定性判读,以及基于肿瘤/间质组织TIL密度比的客观分析两种方法评估。研究不同TIL标志物空间分布模式与结局的关联。
定性评估CD8+ TIL模式存在明显局限,包括大多数肿瘤内表型谱广泛多样,且与结局的关联有限。采用客观方法对NSCLC分类后,发现至少存在三个亚组,与基于视觉模式定义的亚组部分重叠。基于此策略,一部分“类免疫排斥型”肿瘤病例结局明显更差,提示对ICI敏感性较低;但这些结果仍需验证。对其他TIL亚群的分析结果各异,凸显空间TIL模式评估中标志物选择的重要性,以及在临床标志物整合方面的机会。
我们的结果揭示了定性评估空间TIL模式面临的主要挑战。我们设计了一种新的客观策略以克服其中部分局限,并显示出显著的生物标志物潜力。
The spatial arrangement of lymphocytes in the tumor bed (e.g., immune infiltrated, immune excluded, immune desert) is expected to reflect distinct immune evasion mechanisms and to associate with immunotherapy outcomes. However, data supporting these associations are scant and limited by the lack of a clear definition for lymphocyte infiltration patterns and the subjective nature of pathology-based approaches. EXPERIMENTAL DESIGN: We used multiplexed immunofluorescence to study major tumor-infiltrating lymphocyte (TIL) subsets with single-cell resolution in baseline whole-tissue section samples from NSCLC patients treated with immune checkpoint inhibitors (ICI). The spatial TIL patterns were analyzed using a qualitative pathologist-based approach, and an objective analysis of TIL density ratios in tumor/stromal tissues. The association of spatial patterns with outcomes was studied for different TIL markers.
The analysis of CD8+ TIL patterns using qualitative assessment identified prominent limitations including the presence of a broad spectrum of phenotypes within most tumors and limited association with outcomes. The utilization of an objective method to classify NSCLCs showed the existence of at least three subgroups with partial overlap with those defined using visual patterns. Using this strategy, a subset of cases with "immune excluded-like" tumors showed prominently worse outcomes, suggesting reduced sensitivity to ICI; however, these results need to be validated. The analysis for other TIL subsets showed different results, underscoring the relevance of the marker selected for spatial TIL pattern evaluation and opportunities for market integration.
Our results identified major challenges associated with the qualitative spatial TIL pattern evaluation. We devised a novel objective strategy to overcome some of these limitations that has strong biomarker potential.
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