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:Alterations of the composition and spatial organization of the microenvironment following non-dysplastic Barrett's esophagus through progression to cancer.
Alterations of the composition and spatial organization of the microenvironment following non-dysplastic Barrett's esophagus through progression to cancer.
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Barrett食管(BE)是一种化生性疾病,是已知唯一的食管腺癌(EAC)癌前病变,相对常见,但进展为癌症的情况并不频繁。BE存在炎症,但免疫系统在癌变过程中的作用尚不清楚。为此,我们对比了BE患者的非异型增生化生组织,这些组织分别采集于患者未进展时(非进展者)、随后发生进展但尚未进展时(进展前)或已经进展为EAC时(进展者)。利用空间多重56蛋白分析、连续激光捕获显微切割(LCM)RNAseq和浅全基因组测序,我们识别出促癌免疫微环境和失调的免疫细胞群体,可预测后续进展为EAC。事实上,空间分析显示,M1巨噬细胞、调节性自然杀伤(NK)细胞、中性粒细胞以及上皮内CD4+和CD8+淋巴细胞比例的改变,是癌症起始相关肿瘤微环境(TME)变化的典型特征。空间衍生的细胞间相互作用揭示了进展特异性的免疫细胞相互作用特征,主要涉及M1巨噬细胞、NK细胞和浆细胞。
此外,LCM RNAseq分析识别出在进展前和进展样本中富集的基因表达“热”特征。值得注意的是,我们还观察到进展者化生中免疫细胞与拷贝数改变之间的相关性。通过揭示高EAC风险患者免疫细胞格局的协调变化,这一多组学数据集提供了新的诊断和治疗机会。
Barrett's esophagus (BE), a metaplastic condition that is the only known precursor for esophageal adenocarcinoma (EAC), is relatively common, but progression to cancer is infrequent. BE is inflamed but the contribution of the immune system to the carcinogenic process is unknown. To this end, we contrasted non-dysplastic metaplasia of BE patients, captured when they did not progress (non-progressors), did subsequently, but had not yet progressed (pre-progressors) or had already progressed to EAC (progressors).
Using spatial multiplexed 56-protein analysis, serial laser capture microdissection (LCM) RNAseq and shallow whole genome sequencing, we identified prooncogenic immune neighbourhoods and dysregulated immune cell populations predictive of subsequent progression to EAC.
Indeed, spatial analysis revealed that M1 macrophages, regulatory natural killer (NK) cells, neutrophils and altered ratios of intraepithelial CD4 + and CD8 + lymphocytes typify tumor microenvironmental (TME) changes associated with cancer initiation. Spatially derived cell-to-cell interactions revealed progression-specific immune cell interaction signatures predominantly involving M1 macrophages NK cells and plasma cells.
Furthermore, LCM RNAseq analysis identified gene expression 'hot' signatures enriched in pre-progression and progression samples.
Notably, we also observed a correlation between immune cells and copy number alterations in progressor metaplasia. By exposing coordinated changes in the immune cell landscape in patients at high risk of developing EAC, this multi-omic dataset provides novel diagnostic and therapeutic opportunities.
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