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构建 m6A 和中性粒细胞胞外诱捕网相关 lncRNA 模型预测肝细胞癌预后和免疫图谱。

Construction of an m6A- and neutrophil extracellular traps-related lncRNA model to predict hepatocellular carcinoma prognosis and immune landscape.

机构信息

Department of General Surgery, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.

Department of Clinical Laboratory, Lianshui County People's Hospital, Huai'an, China.

出版信息

Front Immunol. 2023 Oct 5;14:1231543. doi: 10.3389/fimmu.2023.1231543. eCollection 2023.

Abstract

PURPOSE

To investigate the impact of N6-methyladenosine- (m6A) and neutrophil extracellular traps- (NETs) related lncRNAs (MNlncRNAs) on the prognosis of hepatocellular carcinoma (HCC).

METHODS

We collected m6A and NETs-related genes from published studies. We identified the MNlncRNAs by correlation analysis. Cox regression and the least absolute selection operator (LASSO) method were used to select predictive MNlncRNAs. The expressions of predictive MNlncRNAs were detected by cell and tissue experiments. Survival, medication sensitivity, and immunological microenvironment evaluations were used to assess the model's prognostic utility. Finally, we performed cellular experiments to further validate the model's prognostic reliability.

RESULTS

We obtained a total of 209 MNlncRNAs. 7 MNlncRNAs comprised the prognostic model, which successfully stratifies HCC patients, with the area under the curve (AUC) ranging from 0.7 to 0.8. tests confirmed that higher risk patients had worse prognosis. Risk score, immunological microenvironment, and immune checkpoint gene expression were all significantly correlated with each other in HCC. In the group at high risk, immunotherapy could be more successful. Cellular assays confirmed that HCC cells with high risk scores have a higher proliferation and invasive capacity.

CONCLUSION

The MNlncRNAs-related prognostic model aided in determining HCC prognosis, revealing novel therapeutic options, notably immunotherapy.

摘要

目的

研究 N6-甲基腺苷(m6A)和中性粒细胞胞外诱捕网(NETs)相关长非编码 RNA(MNlncRNAs)对肝细胞癌(HCC)预后的影响。

方法

我们从已发表的研究中收集了 m6A 和 NETs 相关基因。我们通过相关分析确定了 MNlncRNAs。Cox 回归和最小绝对收缩和选择算子(LASSO)方法用于选择预测性 MNlncRNAs。通过细胞和组织实验检测预测性 MNlncRNAs 的表达。通过生存、药物敏感性和免疫微环境评估来评估模型的预后效用。最后,我们进行了细胞实验以进一步验证模型的预后可靠性。

结果

我们总共获得了 209 个 MNlncRNAs。7 个 MNlncRNAs构成了预后模型,该模型成功地对 HCC 患者进行了分层,曲线下面积(AUC)范围为 0.7 至 0.8。检验证实,高风险患者的预后更差。风险评分、免疫微环境和免疫检查点基因表达在 HCC 中均显著相关。在高风险组中,免疫疗法可能更成功。细胞实验证实,风险评分较高的 HCC 细胞具有更高的增殖和侵袭能力。

结论

MNlncRNAs 相关预后模型有助于确定 HCC 的预后,揭示了新的治疗选择,特别是免疫疗法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b60/10585104/d4311e19de7c/fimmu-14-1231543-g001.jpg

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