Oncology Department, Deyang People's Hospital, Deyang, China.
Intensive care Unit, Deyang People's Hospital, Deyang, China.
Front Immunol. 2023 Jan 25;14:1097075. doi: 10.3389/fimmu.2023.1097075. eCollection 2023.
Hepatocellular carcinoma (HCC) is a common malignant cancer with a poor prognosis. Cuproptosis and associated lncRNAs are connected with cancer progression. However, the information on the prognostic value of cuproptosis-related lncRNAs is still limited in HCC.
We isolated the transcriptome and clinical information of HCC from TCGA and ICGC databases. Ten cuproptosis-related genes were obtained and related lncRNAs were correlated by Pearson's correlation. By performing lasso regression, we created a cuproptosis-related lncRNA prognostic model based on the cuproptosis-related lncRNA score (CLS). Comprehensive analyses were performed, including the fields of function, immunity, mutation and clinical application, by various R packages.
Ten cuproptosis-related genes were selected, and 13 correlated prognostic lncRNAs were collected for model construction. CLS was positively or negatively correlated with cancer-related pathways. In addition, cell cycle and immune related pathways were enriched. By performing tumor microenvironment (TME) analysis, we determined that T-cells were activated. High CLS had more tumor characteristics and may lead to higher invasiveness and treatment resistance. Three genes (, and ) were found in high CLS samples with more mutational frequency. More amplification and deletion were detected in high CLS samples. In clinical application, a CLS-based nomogram was constructed. 5-Fluorouracil, gemcitabine and doxorubicin had better sensitivity in patients with high CLS. However, patients with low CLS had better immunotherapeutic sensitivity.
We created a prognostic CLS signature by machine learning, and we comprehensively analyzed the signature in the fields of function, immunity, mutation and clinical application.
肝细胞癌（HCC）是一种预后较差的常见恶性肿瘤。铜死亡和相关的长链非编码 RNA（lncRNA）与癌症进展有关。然而，铜死亡相关 lncRNA 在 HCC 中的预后价值信息仍然有限。
我们从 TCGA 和 ICGC 数据库中分离 HCC 的转录组和临床信息。获得了 10 个铜死亡相关基因，并通过 Pearson 相关性分析相关 lncRNA。通过执行 Lasso 回归，我们基于铜死亡相关 lncRNA 评分（CLS）创建了一个铜死亡相关 lncRNA 预后模型。通过各种 R 包进行了功能、免疫、突变和临床应用等综合分析。
选择了 10 个铜死亡相关基因，并收集了 13 个相关预后 lncRNA 进行模型构建。CLS 与癌症相关通路呈正相关或负相关。此外，细胞周期和免疫相关通路被富集。通过进行肿瘤微环境（TME）分析，我们确定 T 细胞被激活。高 CLS 具有更多的肿瘤特征，可能导致更高的侵袭性和治疗耐药性。在高 CLS 样本中发现了 3 个基因（、和），其突变频率更高。在高 CLS 样本中检测到更多的扩增和缺失。在临床应用中，构建了基于 CLS 的列线图。在高 CLS 患者中，5-氟尿嘧啶、吉西他滨和阿霉素的敏感性更好。然而，低 CLS 患者对免疫治疗的敏感性更高。
我们通过机器学习创建了一个预后 CLS 特征，并在功能、免疫、突变和临床应用等领域对该特征进行了全面分析。
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