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:The value of cuproptosis-related differential genes in guiding prognosis and immune status in patients with skin cutaneous melanoma.
The value of cuproptosis-related differential genes in guiding prognosis and immune status in patients with skin cutaneous melanoma.
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皮肤黑色素瘤(SKCM)是最常见的皮肤恶性肿瘤之一,其发病率正在增加。铜死亡是最近报道的一种新型程序性细胞死亡,可能影响SKCM的进展。
从基因表达综合数据库和癌症基因组图谱数据库获取黑色素瘤的mRNA表达数据。我们根据SKCM中铜死亡相关差异基因构建了预后模型。最后,采用实时定量PCR验证不同分期皮肤黑色素瘤患者中铜死亡相关差异基因的表达。
我们基于19个铜死亡相关基因检测到767个铜死亡相关差异基因,并筛选出7个差异基因构建预后模型,其中包括三个高风险差异基因(SNAI2、RAP1GAP、BCHE)和四个低风险差异基因(JSRP1、HAPLN3、HHEX、ERAP2)。Kaplan-Meier分析表明,低风险差异基因信号的SKCM患者预后更好。基因组百科全书结果显示,铜死亡相关差异基因不仅参与T细胞受体信号通道、NK 细胞介导的细胞毒性,还参与趋化因子信号通路和B细胞受体信号通路。在我们的风险评分模型中,三个时间节点的受试者工作特征(ROC)值分别为0.669(1年)、0.669(3年)和0.685(5年)。此外,低风险组和高风险组在肿瘤负荷突变和免疫学功能、细胞干性特征及药物敏感性方面存在显著差异。SNAI2、RAP1GAP和BCHE的mRNA水平在Ⅲ+Ⅳ期SKCM患者中显著高于Ⅰ+Ⅱ期患者,而JSRP1、HAPLN3、HHEX和ERAP2的水平在Ⅰ+Ⅱ期SKCM患者中显著高于Ⅲ+Ⅳ期SKCM患者。
总之,我们认为铜死亡不仅能调节肿瘤免疫微环境,还能影响SKCM患者的预后,并可能为SKCM患者的生存研究和临床决策提供基础理论,并具有潜在的治疗药物。
Background: Skin cutaneous melanoma (SKCM) is one of the most common cutaneous malignancies, which incidence is increasing. Cuproptosis is a new type of programming cell death recently reported, which may affect the progression of SKCM. Method: The mRNA expression data of melanoma were obtained from the Gene Expression Omnibus and the Cancer Genome Atlas databases.
We constructed a prognostic model according to the cuproptosis-related differential genes in SKCM.
Finally, real-time quantitative PCR was performed to verify the expression of cuproptosis-related differential genes in patients with different stages of cutaneous melanoma. Results: We detected 767 cuproptosis-related differential genes based on 19 cuproptosis-related genes, and screened out 7 differential genes to construct a prognostic model, which including three high-risk differential genes (SNAI2, RAP1GAP, BCHE), and four low-risk differential genes (JSRP1, HAPLN3, HHEX, ERAP2).
Kaplan-Meier analysis indicated that SKCM patients with low-risk differential genes signals had better prognosis. The Encyclopedia of Genomes results manifested that cuproptosis-related differential genes are not only involved in T cell receptor signaling channel, natural killer cell mediated cytotoxicity, but also chemokine signaling pathway and B cell receptor signaling pathway. In our risk scoring model, the receiver operating characteristic (ROC) values of the three-time nodes are 0. 669 (1-year), 0. 669 (3-year) and 0. 685 (5-year), respectively.
Moreover, the tumor burden mutational and immunology function, cell stemness characteristics and drug sensitivity have significant differences between low-risk group and high-risk group. The mRNA level of SNAI2, RAP1GAP and BCHE in stage Ⅲ+Ⅳ SKCM patients was significantly higher than that in stage Ⅰ+Ⅱ patients, while the level of JSRP1, HAPLN3, HHEX and ERAP2 in stage Ⅰ+Ⅱ SKCM patients was more remarkable higher than that in stage Ⅲ+Ⅳ SKCM patients.
Conclusion: In summary, we suggest that cuproptosis can not only regulate the tumor immune microenvironment but also affect the prognosis of SKCM patients, and may offer a basic theory for SKCM patients survival studies and clinical decision-making with potentially therapeutic drugs.
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