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:Dexmedetomidine induces immunogenic cancer cell death and sensitizes tumors to PD-1 blockade.
Dexmedetomidine induces immunogenic cancer cell death and sensitizes tumors to PD-1 blockade.
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这些结果证实了机器学习预测的 DEX 抗癌活性。
局部麻醉药可促进抗癌免疫应答。一种基于机器学习的算法,利用镇痛药、麻醉药、催眠药和阿片类药物的生物学效应及分子描述符训练,预测右美托咪定(DEX)具有抗肿瘤作用。DEX是一种α2肾上腺素能受体(ADRA2)激动剂类镇静药。基于上述依据,我们研究DEX可能的抗肿瘤作用。
体外实验中,DEX可诱发细胞死亡前应激,如自噬和部分内质网应激,并伴随真核翻译起始因子2α磷酸化及X盒结合蛋白1剪接受抑。DEX可诱发免疫原性细胞死亡生物标志物,包括ATP和高迁移率族蛋白B1释放,以及细胞表面钙网蛋白暴露,增强树突状细胞对恶性细胞的吞噬。在免疫功能完整小鼠中,DEX减缓结直肠癌、纤维肉瘤、乳腺癌和黑色素瘤进展并改善总生存期。α2受体拮抗剂育亨宾可抑制这些作用,提示DEX至少部分通过靶向ADRA2发挥抗癌作用。根据具体肿瘤模型,DEX还可提高肿瘤区域及引流淋巴结中的细胞毒性T细胞/调节性T细胞比例。程序性死亡蛋白1阻断有改善DEX疗效的趋势。再次给予抗原相同的细胞后未出现肿瘤,提示形成了免疫记忆。
这些结果证实机器学习预测的DEX抗癌活性。除可作为肿瘤重症监护中的镇静药外,DEX可能增强抗癌免疫监视,并使肿瘤对免疫检查点阻断治疗更敏感。
Local anesthetics promote anticancer immune responses. A machine learning-based algorithm trained with information on the biological effects and molecular descriptors of analgesics, anesthetics, hypnotics and opioids predicted antitumor effects for dexmedetomidine (DEX). DEX is a sedative acting as an alpha2-adrenoceptor (ADRA2) agonist. Based on these premises, we investigated the putative antineoplastic effects of DEX.
In vitro, DEX promoted premortem stresses such as autophagy and partial endoplasmic reticulum stress with the phosphorylation of eukaryotic initiation factor 2 alpha and the inhibition of the splicing of X-box binding protein 1. DEX elicited the biomarkers of immunogenic cell death, including the release of ATP and high-mobility group box 1 protein, and the cell surface exposure of calreticulin, enhancing the engulfment of malignant cells by dendritic cells. In immunocompetent mice, DEX decreased the progression of colorectal cancers, fibrosarcomas, mammary carcinomas and melanomas, as it improved overall survival. These effects were inhibited by the ADRA2 antagonist yohimbine, suggesting that DEX mediates its anticancer effects at least in part on-target. Depending on the specific tumor model, DEX also enhanced the cytotoxic T cell/regulatory T cell ratio in the tumor bed and draining lymph nodes. Programmed cell death protein 1 blockade tended to improve DEX effects. After rechallenge with antigenically identical cells, no tumor appeared, indicating the formation of immunological memory.
These results confirm the machine learning-predicted anticancer activity of DEX. Beyond its utility as a sedative agent in oncological intensive care, DEX may improve anticancer immunosurveillance and sensitize tumors to immune checkpoint blockade.
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