Digestive Diseases Center, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China.
Guangdong Provincial Key Laboratory of Digestive Cancer Research, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, Guangdong, China.
Front Immunol. 2023 Jun 29;14:1117255. doi: 10.3389/fimmu.2023.1117255. eCollection 2023.
Gastric cancer (GC) is one of the most prevalent cancers, and it has unsatisfactory overall treatment outcomes. DNA damage repair (DDR) is a complicated process for signal transduction that causes cancer. lncRNAs can influence the formation and incidence of cancers by influencing DDR-related mRNAs/miRNAs. A DDR-related lncRNA prognostic model is urgently needed to improve treatment strategies.
The data of GC samples were obtained from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) datasets. A total of 588 mRNAs involved in DDR were selected from MSigDB, 62 differentially expressed mRNAs from TCGA-STAD were obtained, and 137 lncRNAs were correlated with these mRNAs. Univariate Cox regression and least absolute shrinkage and selection operator (LASSO) regression analyses were used to develop a DDR-related lncRNA prognostic model. Based on the risk model, the differentially expressed gene signature A/B in the low-risk and high-risk groups of TCGA-STAD was identified for further validation.
The prognosis model of 5 genes (AC145285.6, MAGI2-AS3, AL590705.3, AC007405.3, and LINC00106) was constructed and classified into two risk groups. We found that GC patients with a low-risk score had a better OS than those with a high-risk score. We found that the high-risk group tended to have higher TME scores. We also found that patients in the high-risk group had a higher proportion of resting CD4 T cells, monocytes, M2 macrophages, resting dendritic cells, and resting mast cells, whereas the low-risk subgroup had a greater abundance of activated CD4 T cells, follicular helper T cells, M0 macrophages, and M1 macrophages. We observed significant differences in the T-cell exclusion score, T-cell dysfunction, MSI, and TMB between the two risk groups. In addition, we found that patients treated with immunotherapy in the low-RS score group had a longer survival and a better prognosis than those in the high-RS score group.
The prognostic model has a significant role in the TME, clinicopathological characteristics, prognosis, MSI, and drug sensitivity. We also discovered that patients treated with immunotherapy in the low-RS score group had a better prognosis. This work provides a foundation for improving the prognosis and response to immunotherapy among patients with GC.
胃癌(GC)是最常见的癌症之一,整体治疗效果不佳。DNA 损伤修复(DDR)是一种复杂的信号转导过程,会导致癌症。lncRNAs 可以通过影响 DDR 相关的 mRNAs/miRNAs 来影响癌症的形成和发生。因此,迫切需要建立一个 DDR 相关的 lncRNA 预后模型来改善治疗策略。
从癌症基因组图谱(TCGA)和基因表达综合数据库(GEO)中获取 GC 样本数据。从 MSigDB 中选择了 588 个与 DDR 相关的 mRNAs,从 TCGA-STAD 中获得了 62 个差异表达的 mRNAs,并且与这些 mRNAs 相关的 137 个 lncRNAs。使用单变量 Cox 回归和最小绝对收缩和选择算子(LASSO)回归分析来建立 DDR 相关的 lncRNA 预后模型。基于风险模型,确定 TCGA-STAD 中低风险和高风险组之间差异表达的基因签名 A/B,用于进一步验证。
构建了由 5 个基因(AC145285.6、MAGI2-AS3、AL590705.3、AC007405.3 和 LINC00106)组成的预后模型,并将其分为两个风险组。我们发现,低风险评分的 GC 患者的 OS 优于高风险评分的患者。我们发现,高风险组的 TME 评分较高。我们还发现,高风险组的患者具有更高比例的静止 CD4 T 细胞、单核细胞、M2 巨噬细胞、静止树突状细胞和静止肥大细胞,而低风险亚组具有更高比例的活化 CD4 T 细胞、滤泡辅助 T 细胞、M0 巨噬细胞和 M1 巨噬细胞。在两个风险组之间,我们观察到 T 细胞排斥评分、T 细胞功能障碍、MSI 和 TMB 之间存在显著差异。此外,我们发现低 RS 评分组接受免疫治疗的患者的生存和预后均优于高 RS 评分组。
该预后模型在 TME、临床病理特征、预后、MSI 和药物敏感性方面具有重要作用。我们还发现,低 RS 评分组接受免疫治疗的患者的预后更好。这项工作为改善 GC 患者的预后和免疫治疗反应提供了基础。