RNF43 p.G659fs 通过 PI3K/AKT/mTOR 信号通路和 HLA-E 上调导致 MSI-high 结直肠癌中 NK 细胞功能障碍
RNF43 p.G659fs leads to natural killer cell dysfunction in MSI-high colorectal cancer through PI3K/AKT/mTOR signaling and HLA-E up-regulation.
CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:A Tc1- and Th1-T-lymphocyte-rich tumor microenvironment is a hallmark of MSI colorectal cancer.
A Tc1- and Th1-T-lymphocyte-rich tumor microenvironment is a hallmark of MSI colorectal cancer.
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微卫星不稳定性是结直肠癌免疫检查点治疗反应和患者预后的强预测因子。尽管已确定不同T细胞亚群的富集会影响免疫检查点治疗反应和患者预后,但关于免疫肿瘤微环境组成的潜在变化知之甚少。为评估T细胞亚群的密度、组成、功能标志物表达程度及空间相互作用,分析了79例微卫星不稳定(MSI)和1,045例微卫星稳定(MSS)结直肠癌。使用我们的BLEACH&STAIN多重荧光免疫组化方法,对组织芯片和大切片进行了19种针对T细胞、抗原呈递细胞、功能标志物和结构蛋白的抗体染色。开发了一个包含>20种不同卷积神经网络的深度学习框架用于图像分析。
1型(T-bet +)、2型(GATA3 +)、17型(RORγT +)、NKT样(CD56 +)、调节性(FOXP3 +)、滤泡性(BCL6 +)以及细胞毒性(CD3 + CD8 +)或辅助性(CD3 + CD4 +)T细胞的组成在MSI和MSS患者之间显示出显著差异。例如,与MSS患者相比,MSI患者中Tc1和Th1的比例显著更高(各p < 0.001),而Tregs、Th2和Th17 T细胞的比例显著更低(p < 0.05)。大多数T细胞亚群上TIM3、CTLA-4和PD-1的表达程度在MSI患者中显著高于MSS患者(各p < 0.05)。空间分析显示,MSI患者中Th1、Tc1与树突状细胞之间的相互作用增加,而MSS患者中相互作用最强的是Tregs、Th17、Th2与树突状细胞之间。对12个大切片的额外分析揭示了侵袭边缘处免疫组成的差异。
总之,本研究确定了与MSS结直肠癌相比,MSI的一个标志是Tc1和Th1 T细胞比例较高,同时调节性T细胞、Th17和Th2 T细胞亚群稀少,以及独特的相互作用特征。© 2025 The Author(s). The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.
Microsatellite instability is a strong predictor of response to immune checkpoint therapy and patient outcome in colorectal cancer. Although enrichment of distinct T-cell subpopulations has been determined to impact the response to immune checkpoint therapy and patient outcome, little is known about the underlying changes in the composition of the immune tumor microenvironment. To assess the density, composition, degree of functional marker expression, and spatial interplay of T-cell subpopulations, 79 microsatellite instable (MSI) and 1,045 microsatellite stable (MSS) colorectal cancers were analyzed. A tissue microarray and large sections were stained with 19 antibodies directed against T cells, antigen-presenting cells, functional markers, and structural proteins using our BLEACH&STAIN multiplex-fluorescence immunohistochemistry approach. A deep learning-based framework comprising >20 different convolutional neuronal networks was developed for image analysis. The composition of Type 1 (T-bet + ), Type 2 (GATA3 + ), Type 17 (RORγT + ), NKT-like (CD56 + ), regulatory (FOXP3 + ), follicular (BCL6 + ), and cytotoxic (CD3 + CD8 + ) or helper (CD3 + CD4 + ) T cells showed marked differences between MSI and MSS patients.
For instance, the fraction of Tc1 and Th1 was significantly higher (p < 0. 001 each), while the fraction of Tregs, Th2, and Th17 T cells was significantly lower (p < 0. 05) in MSI compared to MSS patients. The degree of TIM3, CTLA-4, and PD-1 expression on most T-cell subpopulations was significantly higher in MSI compared to MSS patients (p < 0. 05 each). Spatial analysis revealed increased interactions between Th1, Tc1, and dendritic cells in MSI patients, while in MSS patients the strongest interactions were found between Tregs, Th17, Th2, and dendritic cells.
The additional analysis of 12 large sections revealed a divergent immune composition at the invasive margin. In summary, this study identified a higher fraction of Tc1 and Th1 T cells accompanied by a paucity of regulatory T-cell, Th17, and Th2 T-cell subpopulations, along with a distinct interaction profile, as a hallmark of MSI compared to MSS colorectal cancers. © 2025 The Author(s). The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.
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