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肿瘤微环境中铜死亡与胃癌预后的系统分析。

Systematic analysis of the cuprotosis in tumor microenvironment and prognosis of gastric cancer.

作者信息

Wang Ke-Wei, Wang Mei-Dan, Li Zi-Xi, Hu Ben-Shun, Huang Jian-Feng, Wu Jun-Jie, Yuan Zheng-Dong, Wu Xiao-Long, Yuan Qin-Fang, Sun Yi-Fan, Yuan Feng-Lai

机构信息

Institute of Integrated Traditional Chinese and Western Medicine, Affiliated Hospital of Jiangnan University, Wuxi, China.

Department of Hepatobiliary Surgery, Affiliated Hospital of Jiangnan University, Wuxi, China.

出版信息

Heliyon. 2023 Feb 17;9(3):e13831. doi: 10.1016/j.heliyon.2023.e13831. eCollection 2023 Mar.

DOI:10.1016/j.heliyon.2023.e13831
PMID:36895378
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9988515/
Abstract

Cuprotosis is a new programmed cell death related to cancer. However, the characteristics of cuprotosis in gastric cancer (GC) remain unknown. Ten cuprotosis molecules from 1544 GC patients were used to identify three GC molecular genotypes. Cluster A was characterized by the best clinical outcome and was significantly enriched in metabolic signaling pathways. Cluster B exhibited elevated immune activation, high immune stroma scores and was significantly enriched in tumor immune signaling pathways. Cluster C was characterized by severe immunosuppression and poor response to immunotherapy. Notably, the citrate cycle, cell cycle, and p53 signaling pathways were enriched in the differentially expressed genes among the three subtypes, which were critical signaling pathways for cell death. We also developed a cuprotosis signature risk score that could accurately predict the survival, immunity, and subtype of GC. This study presents a systematic analysis of cuprotosis molecules and provides new immunotherapeutic targets for GC patients.

摘要

铜死亡是一种与癌症相关的新型程序性细胞死亡。然而,胃癌(GC)中铜死亡的特征仍不清楚。利用1544名GC患者的10个铜死亡分子来确定三种GC分子基因型。A组的特征是临床结果最佳,并且在代谢信号通路中显著富集。B组表现出免疫激活增强、免疫基质评分高,并且在肿瘤免疫信号通路中显著富集。C组的特征是严重免疫抑制和对免疫治疗反应不佳。值得注意的是,柠檬酸循环、细胞周期和p53信号通路在三种亚型的差异表达基因中富集,这些是细胞死亡的关键信号通路。我们还开发了一种铜死亡特征风险评分,可准确预测GC患者的生存、免疫和亚型。本研究对铜死亡分子进行了系统分析,并为GC患者提供了新的免疫治疗靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a01/9988515/9e3e9f75335a/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a01/9988515/ec8e4d1c6991/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a01/9988515/b9eb6e42df8a/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a01/9988515/780d0eb5b2eb/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a01/9988515/3923bba70ce6/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a01/9988515/7807216bba6d/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a01/9988515/421cd61f0726/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a01/9988515/9e3e9f75335a/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a01/9988515/ec8e4d1c6991/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a01/9988515/b9eb6e42df8a/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a01/9988515/780d0eb5b2eb/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a01/9988515/3923bba70ce6/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a01/9988515/7807216bba6d/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a01/9988515/421cd61f0726/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a01/9988515/9e3e9f75335a/gr7.jpg

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本文引用的文献

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2
A prognostic signature based on cuprotosis-related long non-coding RNAs predicts the prognosis and sensitivity to chemotherapy in patients with colorectal cancer.基于铜死亡相关长链非编码RNA的预后特征可预测结直肠癌患者的预后及化疗敏感性。
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Identification and validation of a novel cuproptosis-related lncRNA gene signature to predict prognosis and immune response in bladder cancer.
自噬相关基因模型作为精神分裂症的一个新的危险因素。
Transl Psychiatry. 2024 Feb 13;14(1):94. doi: 10.1038/s41398-024-02767-5.
一种新型铜死亡相关lncRNA基因特征用于预测膀胱癌预后和免疫反应的鉴定与验证
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Cuprotosis Programmed-Cell-Death-Related lncRNA Signature Predicts Prognosis and Immune Landscape in PAAD Patients.铜死亡相关长链非编码 RNA 标志物预测 PAAD 患者的预后和免疫图谱。
Cells. 2022 Oct 31;11(21):3436. doi: 10.3390/cells11213436.
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The cuproptosis-related gene signature serves as a potential prognostic predictor for ovarian cancer using bioinformatics analysis.通过生物信息学分析,铜死亡相关基因特征可作为卵巢癌潜在的预后预测指标。
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