Lai Wei, Su Yunshu, Li Yangbo, Zuo Yifan, He Kunzhuo, Zhang Tianyu, Peng Dunyu, Wang Wei
Department of Thoracic Surgery, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Department of anesthesiology, Renmin Hospital of Wuhan University, Wuhan 430060, China.
J Cancer. 2024 Jun 3;15(13):4244-4258. doi: 10.7150/jca.96334. eCollection 2024.
While RACGAP1 is identified as a potential oncogene, its specific role in lung adenocarcinoma (LUAD) remains unclear. First, we conducted a comprehensive analysis of the role of RACGAP1 across 33 types of cancer. Subsequently, we investigated the expression levels of RACGAP1 and its impact on prognosis using data from The Cancer Genome Atlas (TCGA) database. We utilized single-cell sequencing data to explore the tumor-related processes of RACGAP1 in LUAD and validated our findings through experimental verification. Employing a consensus clustering (CC) approach, we subdivided LUAD patients into two subtypes based on RACGAP1 cell cycle-related genes (RrCCGs). These subtypes exhibited significant differences in tumor characteristics, lymph node metastasis, and recurrence. Furthermore, we evaluated the prognostic influence of RrCCGs using univariate Cox regression and least absolute shrinkage and selection operator regression models (LASSO), successfully establishing a prognostic model. RACGAP1 is frequently overexpressed in various tumors and can impact the prognosis of patients with LUAD. Additionally, experimental evidence has demonstrated that low expression of RACGAP1 favors tumor cell apoptosis and restoration of the cell cycle, while high expression promotes invasion and metastasis. Through CC analysis of RrCCGs, patients were classified into two groups, with survival analysis revealing distinct prognoses and stages between the two groups. Furthermore, Cox and LASSO regression successfully constructed a prognostic model with robust predictive capability.
虽然RACGAP1被确定为一种潜在的癌基因，但其在肺腺癌（LUAD）中的具体作用仍不清楚。首先，我们对RACGAP1在33种癌症中的作用进行了全面分析。随后，我们使用来自癌症基因组图谱（TCGA）数据库的数据，研究了RACGAP1的表达水平及其对预后的影响。我们利用单细胞测序数据探索RACGAP1在LUAD中的肿瘤相关过程，并通过实验验证来证实我们的发现。采用一致性聚类（CC）方法，我们根据RACGAP1细胞周期相关基因（RrCCGs）将LUAD患者分为两个亚型。这些亚型在肿瘤特征、淋巴结转移和复发方面表现出显著差异。此外，我们使用单变量Cox回归和最小绝对收缩和选择算子回归模型（LASSO）评估了RrCCGs的预后影响，成功建立了一个预后模型。RACGAP1在各种肿瘤中经常过度表达，并可影响LUAD患者的预后。此外，实验证据表明，RACGAP1低表达有利于肿瘤细胞凋亡和细胞周期恢复，而高表达则促进侵袭和转移。通过对RrCCGs的CC分析，患者被分为两组，生存分析显示两组之间的预后和分期明显不同。此外，Cox和LASSO回归成功构建了一个具有强大预测能力的预后模型。
