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:Single-cell RNA sequencing reveals distinct tumor microenvironmental patterns in lung adenocarcinoma.
Single-cell RNA sequencing reveals distinct tumor microenvironmental patterns in lung adenocarcinoma.
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免疫肿瘤学的最新进展表明,不仅癌细胞,肿瘤微环境也可以指导精准医学。对肿瘤微环境进行全面深入的表征具有挑战性,因为其细胞群体多样,即使稀少也可能具有重要意义。为了识别临床相关的微环境和癌症特征,我们对十例人肺腺癌和十例正常对照组织应用了单细胞RNA测序。
我们的分析揭示了反映组织学分级和致癌通路活性的异质性癌细胞转录组,以及两种不同的微环境模式。免疫激活型CP²E微环境由癌症相关肌成纤维细胞、促炎性单核细胞来源巨噬细胞、浆细胞样树突状细胞和耗竭CD8+ T细胞组成,预后不良。相比之下,惰性N³MC微环境以正常样肌成纤维细胞、非炎性单核细胞来源巨噬细胞、NK细胞、髓系树突状细胞和常规T细胞为特征,与良好预后相关。在单细胞图谱中鉴定的微环境标记基因和特征在bulk肿瘤图谱中具有预后价值。
总之,肺腺癌的单细胞RNA图谱基于微环境提供了额外的预后信息,并可能有助于预测治疗反应和揭示未来治疗方法的潜在靶细胞群体。
Recent developments in immuno-oncology demonstrate that not only cancer cells, but also the tumor microenvironment can guide precision medicine. A comprehensive and in-depth characterization of the tumor microenvironment is challenging since its cell populations are diverse and can be important even if scarce. To identify clinically relevant microenvironmental and cancer features, we applied single-cell RNA sequencing to ten human lung adenocarcinomas and ten normal control tissues.
Our analyses revealed heterogeneous carcinoma cell transcriptomes reflecting histological grade and oncogenic pathway activities, and two distinct microenvironmental patterns. The immune-activated CP²E microenvironment was composed of cancer-associated myofibroblasts, proinflammatory monocyte-derived macrophages, plasmacytoid dendritic cells and exhausted CD8+ T cells, and was prognostically unfavorable.
In contrast, the inert N³MC microenvironment was characterized by normal-like myofibroblasts, non-inflammatory monocyte-derived macrophages, NK cells, myeloid dendritic cells and conventional T cells, and was associated with a favorable prognosis. Microenvironmental marker genes and signatures identified in single-cell profiles had progonostic value in bulk tumor profiles.
In summary, single-cell RNA profiling of lung adenocarcinoma provides additional prognostic information based on the microenvironment, and may help to predict therapy response and to reveal possible target cell populations for future therapeutic approaches.
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