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铜死亡相关基因特征在肝癌预后预测中的开发与验证

Development and validation of cuproptosis-related gene signature in the prognostic prediction of liver cancer.

作者信息

Liu Yanqing, Liu Yang, Ye Shujun, Feng Huijin, Ma Lianjun

机构信息

Endoscopy Center, China-Japan Union Hospital of Jilin University, Changchun, China.

Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, United States.

出版信息

Front Oncol. 2022 Aug 12;12:985484. doi: 10.3389/fonc.2022.985484. eCollection 2022.

DOI:10.3389/fonc.2022.985484
PMID:36033443
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9413147/
Abstract

Liver cancer is a generic term referring to several cancer types arising from the liver. Every year, liver cancer causes lots of deaths and other burdens to the people all over the world. Though the techniques in the diagnosis and therapy of liver cancer have undergone significant advances, the current status of treating liver cancer is not satisfactory enough. The improvement of techniques for the prognosis of liver cancer patients will be a great supplement for the treatment of liver cancer. Cuproptosis is a newly identified regulatory cell death type, which may have a close connection to liver cancer pathology. Here, we developed a prognostic model for liver cancer based on the cuproptosis-related mRNAs and lncRNAs. This model can not only effectively predict the potential survival of liver cancer patients, but also be applied to evaluate the infiltration of immune cell, tumor mutation burden, and sensitivity to anti-tumor drugs in liver cancer. In addition, this model has been successfully validated in lots of liver cancer patients' data. In summary, we wish this model can become a helpful tool for clinical use in the therapy of liver cancer.

摘要

肝癌是一个通用术语,指起源于肝脏的几种癌症类型。每年,肝癌给世界各地的人们造成大量死亡和其他负担。尽管肝癌的诊断和治疗技术取得了重大进展,但目前肝癌的治疗现状仍不尽如人意。改善肝癌患者预后的技术将是肝癌治疗的一大补充。铜死亡是一种新发现的调节性细胞死亡类型,可能与肝癌病理密切相关。在此,我们基于与铜死亡相关的mRNA和lncRNA构建了一个肝癌预后模型。该模型不仅可以有效预测肝癌患者的潜在生存期,还可用于评估肝癌中免疫细胞浸润、肿瘤突变负荷以及对抗肿瘤药物的敏感性。此外,该模型已在大量肝癌患者数据中成功验证。总之,我们希望这个模型能成为肝癌治疗临床应用中的一个有用工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a1a2/9413147/0a05adbcf073/fonc-12-985484-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a1a2/9413147/3bfc198b136a/fonc-12-985484-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a1a2/9413147/812da2012ce2/fonc-12-985484-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a1a2/9413147/1b443410dcc9/fonc-12-985484-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a1a2/9413147/3de8019bfc73/fonc-12-985484-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a1a2/9413147/976d1485e236/fonc-12-985484-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a1a2/9413147/0a05adbcf073/fonc-12-985484-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a1a2/9413147/3bfc198b136a/fonc-12-985484-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a1a2/9413147/812da2012ce2/fonc-12-985484-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a1a2/9413147/1b443410dcc9/fonc-12-985484-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a1a2/9413147/3de8019bfc73/fonc-12-985484-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a1a2/9413147/976d1485e236/fonc-12-985484-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a1a2/9413147/0a05adbcf073/fonc-12-985484-g006.jpg

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本文引用的文献

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Front Cell Dev Biol. 2022 May 26;10:779269. doi: 10.3389/fcell.2022.779269. eCollection 2022.
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Cuproptosis: Cellular and molecular mechanisms underlying copper-induced cell death.铜死亡:铜诱导细胞死亡的细胞和分子机制。
Mol Cell. 2022 May 19;82(10):1786-1787. doi: 10.1016/j.molcel.2022.05.001.
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A prognostic signature based on the expression profile of the ferroptosis-related long non-coding RNAs in hepatocellular carcinoma.
癌症中铜及铜死亡的分子机制与治疗前景
Signal Transduct Target Ther. 2025 May 9;10(1):149. doi: 10.1038/s41392-025-02192-0.
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Liver Tumor Prediction using Attention-Guided Convolutional Neural Networks and Genomic Feature Analysis.使用注意力引导卷积神经网络和基因组特征分析进行肝肿瘤预测
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Pump-free SERS microfluidic chip based on an identification-competition strategy for ultrasensitive and efficient simultaneous detection of liver cancer-related microRNAs.基于识别竞争策略的无泵表面增强拉曼散射微流控芯片用于超灵敏高效同时检测肝癌相关微小核糖核酸
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Cancer statistics, 2022.癌症统计数据,2022 年。
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