Department of Thoracic Surgery, Zhongnan Hospital of Wuhan University, Wuhan 430071, China.
Department of Biological Repositories, Zhongnan Hospital of Wuhan University, Wuhan 430071, China.
Curr Oncol. 2023 Feb 27;30(3):2845-2861. doi: 10.3390/curroncol30030217.
To explore the lactate-related genes (LRGs) in lung adenocarcinoma (LUAD) by various methods, construct a prognostic model, and explore the relationship between lactate subtypes and the immune tumor microenvironment (TME).
24 LRGs were collected. The mutation landscape and the prognosis value of LRGs were explored by using The Cancer Genome Atlas (TCGA) data. Consensus clustering analysis was used for different lactate subtype identification. Based on the lactate subtypes, we explore the landscape of TME cell infiltration. A risk-score was calculated by using the LASSO-Cox analysis. A quantitative real-time PCR assay was utilized to validate the expression of characteristic genes in clinical cancer tissues and paracarinoma tissues from LUAD patients.
Comparing the normal samples, 18 LRGs were differentially expressed in tumor samples, which revealed that the differential expression of LRGs may be related to Copy Number Variation (CNV) alterations. The two distinct lactate subtypes were defined. Compared to patients in the LRGcluster A group, LUAD patients in the LRGcluster B group achieved better survival. The prognostic model was constructed based on differentially expressed genes (DEGs) via the LASSO-Cox analysis, which showed the accuracy of predicting the prognosis of LUAD patients using the ROC curve. A high-risk score was related to a high immune score, stromal score, and tumor mutation burden (TMB). Patients had better OS with low risk compared with those with high risk. The sensitivities of different risk groups to chemotherapeutic drugs were explored. Finally, the expression of characteristic genes in clinical cancer tissues and paracarinoma tissues from LUAD patients was verified via qRT-PCR.
The lactate subtypes were independent prognostic biomarkers in LUAD. Additionally, the difference in the lactate subtypes was an indispensable feature for the individual TME. The comprehensive evaluation of the lactate subtypes in the single tumor would help us to understand the infiltration characteristics of TME and guide immunotherapy strategies.
通过各种方法探讨肺腺癌(LUAD)中的乳酸相关基因(LRGs),构建预后模型,并探讨乳酸亚型与免疫肿瘤微环境(TME)的关系。
收集 24 个 LRGs。利用癌症基因组图谱(TCGA)数据探讨突变景观和 LRGs 的预后价值。采用共识聚类分析对不同乳酸亚型进行鉴定。基于乳酸亚型,我们探讨了 TME 细胞浸润的景观。利用 LASSO-Cox 分析计算风险评分。利用定量实时 PCR 测定法验证 LUAD 患者的临床癌组织和癌旁组织中特征基因的表达。
与正常样本相比,肿瘤样本中 18 个 LRGs 的表达存在差异,表明 LRGs 的差异表达可能与拷贝数变异(CNV)改变有关。定义了两种不同的乳酸亚型。与 LRGcluster A 组的 LUAD 患者相比,LRGcluster B 组的 LUAD 患者的生存情况更好。基于 LASSO-Cox 分析通过差异表达基因(DEGs)构建预后模型,ROC 曲线显示该模型预测 LUAD 患者预后的准确性。高风险评分与高免疫评分、基质评分和肿瘤突变负荷(TMB)相关。与高风险组相比,低风险组患者的 OS 更好。最后,通过 qRT-PCR 验证了 LUAD 患者临床癌组织和癌旁组织中特征基因的表达。
乳酸亚型是 LUAD 的独立预后生物标志物。此外,乳酸亚型的差异是个体 TME 的不可或缺特征。对单个肿瘤中乳酸亚型的综合评估将有助于我们了解 TME 的浸润特征,并指导免疫治疗策略。