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:Computational pathology applied to clinical colorectal cancer cohorts identifies immune and endothelial cell spatial patterns predictive of outcome.
Computational pathology applied to clinical colorectal cancer cohorts identifies immune and endothelial cell spatial patterns predictive of outcome.
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结直肠癌(CRC)是一种组织学异质性较强的疾病,临床结局差异较大。肿瘤微环境(TME)在决定肿瘤进展中所起的作用复杂且尚未被完全理解。为了加深理解,必须在具有长期随访和临床注释的患者队列中系统性地研究TME。
在此,我们在三个具有不同分子亚型和治疗史的转移性CRC临床队列中研究了TME。MISSONI队列包括接受免疫治疗的微卫星不稳定病例(n = 59,中位随访24个月)。BRAF队列包括BRAF V600E突变的微卫星稳定(MSS)癌症(n = 141,中位随访24个月)。VALENTINO队列包括接受化疗和抗EGFR治疗的RAS/RAF野生型MSS病例(n = 175,中位随访32个月)。
我们使用基于超过38,000条病理学家注释训练的深度学习细胞分类器,在CRC的H&E染色切片中检测八种细胞类型,量化了这些队列中细胞类型的空间组织结构和共定位。
我们发现,浸润性内皮细胞与癌细胞的比值——可能是血管侵犯的一个标志物——是BRAF+MISSONI队列中无进展生存期(PFS)的独立预测因子(p = 0.033,HR = 1.44,CI = 1.029-2.01)。在VALENTINO队列中,该模式在TP53突变患者中也是独立的PFS预测因子(p = 0.009,HR = 0.59,CI = 0.40-0.88)。TIL(肿瘤浸润淋巴细胞)是BRAF+MISSONI中PFS的独立预测因子(p = 0.016,HR = 0.36,CI = 0.153-0.83)。肿瘤浸润巨噬细胞升高可预测MISSONI队列中PFS改善(p = 0.031)。
我们使用高度多重免疫荧光技术对17个标志物进行了细胞分类验证,这些标志物应用于分类器分析的相同切片(n = 26例)。这些发现揭示了支持CRC分子亚型间和亚型内治疗反应的重要微环境因素,同时提供了375例临床注释CRC患者中1.8亿个细胞分布的图谱。© 2025 作者。由John Wiley & Sons Ltd代表大不列颠及爱尔兰病理学会出版的《病理学杂志》。
Colorectal cancer (CRC) is a histologically heterogeneous disease with variable clinical outcome. The role the tumour microenvironment (TME) plays in determining tumour progression is complex and not fully understood. To improve our understanding, it is critical that the TME is studied systematically within clinically annotated patient cohorts with long-term follow-up.
Here we studied the TME in three clinical cohorts of metastatic CRC with diverse molecular subtype and treatment history. The MISSONI cohort included cases with microsatellite instability that received immunotherapy (n = 59, 24 months median follow-up). The BRAF cohort included BRAF V600E mutant microsatellite stable (MSS) cancers (n = 141, 24 months median follow-up).
The VALENTINO cohort included RAS/RAF WT MSS cases who received chemotherapy and anti-EGFR therapy (n = 175, 32 months median follow-up). Using a Deep learning cell classifier, trained upon >38,000 pathologist annotations, to detect eight cell types within H&E-stained sections of CRC, we quantified the spatial tissue organisation and colocalisation of cell types across these cohorts.
We found that the ratio of infiltrating endothelial cells to cancer cells, a possible marker of vascular invasion, was an independent predictor of progression-free survival (PFS) in the BRAF+MISSONI cohort (p = 0. 033, HR = 1. 44, CI = 1. 029-2. 01). In the VALENTINO cohort, this pattern was also an independent PFS predictor in TP53 mutant patients (p = 0.
009, HR = 0. 59, CI = 0. 40-0. 88). Tumour-infiltrating lymphocytes were an independent predictor of PFS in BRAF+MISSONI (p = 0. 016, HR = 0. 36, CI = 0. 153-0. 83). Elevated tumour-infiltrating macrophages were predictive of improved PFS in the MISSONI cohort (p = 0. 031).
We validated our cell classification using highly multiplexed immunofluorescence for 17 markers applied to the same sections that were analysed by the classifier (n = 26 cases).
These findings uncovered important microenvironmental factors that underpin treatment response across and within CRC molecular subtypes, while providing an atlas of the distribution of 180 million cells in 375 clinically annotated CRC patients. © 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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