Characteristics of lactate metabolism phenotype in hepatocellular carcinoma.
Characteristics of lactate metabolism phenotype in hepatocellular carcinoma.
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DOI：
10.1038/s41598-023-47065-0
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发表时间：
2023-11-11
影响因子：
4.6
通讯作者：
中科院分区：
文献类型：
--
作者：
肝细胞癌（HCC）是一种高度异质性的癌症，需要更有效的预后标志物。乳酸已被证明是一种重要的代谢产物，参与肿瘤的发生、转移和肿瘤微环境，影响患者的预后。乳酸代谢调节因子（LAMR）在HCC中的作用尚不清楚。在这项研究中，我们分析了LAMR的状态，从分子签名数据库中包含乳酸的基因列表，在肝癌和共识聚类进行基于这些LAMR。簇B显示较高的免疫细胞浸润，较高的TME评分和较差的预后。在此基础上，采用LASSO和考克斯回归分析，构建了一个基于DEGs的风险评分，可有效预测TCGA-LIHC患者的预后。GSE 14520队列证实了这一结果。我们还检查了风险评分与临床特征、基因突变、药物敏感性、免疫检查点抑制剂（ICI）和免疫治疗的相关性。总之，我们的研究结果将有助于进一步了解部分乳酸代谢相关基因在肝癌中的作用，并提出一个新的风险评分来预测预后。
Hepatocellular carcinoma (HCC) is a highly heterogeneous cancer, and more effective prognostic markers are needed. Lactic acid has been proved to be an important metabolite involved in cancer development, metastasis, and the tumor microenvironment, affecting the prognosis of patients. The role of lactic acid metabolism regulators (LAMRs) in HCC is still unclear. In this study, we analyzed the status of LAMRs, a gene list containing lactate from Molecular Signatures database, in HCC and consensus clustering was performed based on these LAMRs. Cluster B showed higher infiltrations of immune cells, higher TME scores, and a poorer prognosis. We further constructed a risk score based on DEGs using LASSO and COX regression analysis between two clusters, which could effectively predict the prognosis of TCGA-LIHC patients. The GSE14520 cohort confirmed the result. We also examined the correlation of risk scores with clinical characteristics, genetic mutations, drug sensitivity, immune checkpoint inhibitors(ICIs), and immunotherapy. In conclusion, our findings will facilitate a further understanding of the role of partial lactate metabolism related genes in HCC and suggest a new risk score to predict prognosis.
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影响因子：
4.7
作者：
Fischbeck AJ;Ruehland S;Ettinger A;Paetzold K;Masouris I;Noessner E;Mendler AN
通讯作者：
Mendler AN
影响因子：
158.5
作者：
Llovet, Josep M.;Ricci, Sergio;Bruix, Jordi
通讯作者：
Bruix, Jordi
DOI：
10.1016/j.apsb.2021.09.019
发表时间：
2022-03
期刊：
Acta pharmaceutica Sinica. B
影响因子：
--
作者：
Du D;Liu C;Qin M;Zhang X;Xi T;Yuan S;Hao H;Xiong J
通讯作者：
Xiong J
影响因子：
2.3
作者：
Hartke, Justin;Johnson, Matthew;Ghabril, Marwan
通讯作者：
Ghabril, Marwan
影响因子：
9.8
作者：
Haas R;Smith J;Rocher-Ros V;Nadkarni S;Montero-Melendez T;D'Acquisto F;Bland EJ;Bombardieri M;Pitzalis C;Perretti M;Marelli-Berg FM;Mauro C
通讯作者：
Mauro C