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:Analysis and identification of the necroptosis landscape on therapy and prognosis in bladder cancer.
Analysis and identification of the necroptosis landscape on therapy and prognosis in bladder cancer.
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膀胱癌(BLCA)是泌尿系统最常见的恶性肿瘤之一,但当前基于化疗和免疫检查点抑制剂(ICI)的治疗策略无法满足治疗需求,主要由于癌细胞的内源性或获得性凋亡抵抗。靶向坏死性凋亡为化疗和靶向药物提供了新策略,并因坏死性凋亡的强免疫原性而提高ICI的疗效。
因此,我们系统分析了BLCA中坏死性凋亡对治疗和预后的影响。我们首先将来自癌症基因组图谱(TCGA)数据库的BLCA患者分为两个坏死性凋亡相关聚类(C1和C2)。坏死性凋亡C2的预后显著优于C1,根据GO和KEGG分析,C2和C1的差异基因主要与免疫反应相关。接下来,我们构建了一个由SIRT6、FASN、GNLY、FNDC4、SRC、ANXA1、AIM2和IKBKB组成的新型坏死性凋亡相关基因(NRG)特征,用于预测TCGA-BLCA队列的生存,NRG评分的准确性也通过外部数据集得到验证。
此外,我们建立了一个结合NRG评分和若干临床病理特征的列线图,以更准确、更方便地预测BLCA患者的生存。我们还发现,NRG评分与CD8 T细胞、NK细胞和iDC细胞的浸润水平、TME中CTLA4、PD-1、TIGIT和LAG3的基因表达,以及BLCA患者对化疗和靶向药物的敏感性显著相关。
总之,NRG评分在评估BLCA患者的预后、临床病理特征、肿瘤微环境(TME)和治疗敏感性方面表现出色,可作为化疗、ICI治疗和联合治疗的指导。
Bladder cancer (BLCA) is one of the most common malignant tumors of the urinary system, but the current therapeutic strategy based on chemotherapy and immune checkpoint inhibitor (ICI) therapy cannot meet the treatment needs, mainly owing to the endogenous or acquired apoptotic resistance of cancer cells. Targeting necroptosis provides a novel strategy for chemotherapy and targeted drugs and improves the efficacy of ICIs because of strong immunogenicity of necroptosis.
Therefore, we systemically analyzed the necroptosis landscape on therapy and prognosis in BLCA.
We first divided BLCA patients from The Cancer Genome Atlas (TCGA) database into two necroptosis-related clusters (C1 and C2). Necroptosis C2 showed a significantly better prognosis than C1, and the differential genes of C2 and C1 were mainly related to the immune response according to GO and KEGG analyses.
Next, we constructed a novel necroptosis-related gene (NRG) signature consisting of SIRT6 , FASN , GNLY , FNDC4 , SRC , ANXA1 , AIM2 , and IKBKB to predict the survival of TCGA-BLCA cohort, and the accuracy of the NRG score was also verified by external datasets.
In addition, a nomogram combining NRG score and several clinicopathological features was established to more accurately and conveniently predict the BLCA patient's survival.
We also found that the NRG score was significantly related to the infiltration levels of CD8 T cells, NK cells, and iDC cells, the gene expression of CTLA4, PD-1, TIGIT, and LAG3 of TME, and the sensitivity to chemotherapy and targeted agents in BLCA patients.
In conclusion, the NRG score has an excellent performance in evaluating the prognosis, clinicopathologic features, tumor microenvironment (TME), and therapeutic sensitivity of BLCA patients, which could be utilized as a guide for chemotherapy, ICI therapy, and combination therapy.
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