Department of Gastrointestinal Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China.
Department of Clinical Nutrition, The Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China.
Comput Math Methods Med. 2022 Sep 13;2022:3445230. doi: 10.1155/2022/3445230. eCollection 2022.
A kinase anchor protein 12 (AKAP12) as a tumor suppressor in various cancers has been extensively studied and confirmed. However, its immune implication in stomach adenocarcinoma (STAD) remains uncertain. Here, using The Cancer Genome Atlas (TCGA), Human Protein Atlas (HPA), Tumor Immune Estimation Resource (TIMER), Cancer Cell Line Encyclopedia (CCLE), integrated repository portal for tumor-immune system interactions (TISIDB), and Search Tool for the Retrieval of Interaction Gene/Proteins (STRING) database, we systematically analyzed the immune correlation of AKAP12 from three aspects including immune infiltration cells, immune-related pathways, and immunomodulators and developed a AKAP12-related 4-gene signature for prognosis prediction. Our results showed that AKAP12 mRNA and protein levels were downregulated in STAD patients, and its expression was positively related to CD4+ T cells and macrophages. In addition, the immune cell infiltration levels were associated with AKAP12 gene copy number deletion in STAD. Based on CCLE database, we found that AKAP12 coexpressed genes were enriched in several immune- and cancer-related pathways, which was further validated by Gene Set Enrichment Analysis (GSEA). Moreover, we identified 46 immunomodulators that were significantly related to AKAP12 expression using TISIDB database, and these immunomodulators were involved in immune-related pathways including Th17 cell differentiation and natural killer cell-mediated cytotoxicity. Additionally, based on the 46 AKAP12-related immunomodulators, a 4-gene risk prediction signature was developed using the Cox regression model. The risk signature was identified as an independent prognostic factor, which can accurately predict the prognosis of patients with STAD, showing good predictive performance. Furthermore, we constructed a prognostic nomogram and calibration to predict and assess patient survival probabilities by integrating the risk score and other clinical factors. In conclusion, our study provides strong evidence that AKAP12 is closely related to tumor immunity in STAD from three aspects: immune infiltration cells, immune pathways, and immunomodulators. More importantly, the AKAP12-related prognostic signature may have a good application prospect for clinical practice.
AKAP12 作为一种在多种癌症中起肿瘤抑制作用的蛋白激酶锚定蛋白已得到广泛研究和证实。然而,其在胃腺癌(STAD)中的免疫意义仍不确定。在这里,我们使用了癌症基因组图谱(TCGA)、人类蛋白质图谱(HPA)、肿瘤免疫估计资源(TIMER)、癌症细胞系百科全书(CCLE)、肿瘤免疫系统相互作用综合资源库(TISIDB)和搜索工具检索基因/蛋白质相互作用(STRING)数据库,从免疫浸润细胞、免疫相关通路和免疫调节剂三个方面系统地分析了 AKAP12 的免疫相关性,并构建了 AKAP12 相关的 4 基因预后预测signature。我们的结果表明,AKAP12 的 mRNA 和蛋白水平在 STAD 患者中下调,其表达与 CD4+T 细胞和巨噬细胞呈正相关。此外,免疫细胞浸润水平与 STAD 中 AKAP12 基因拷贝数缺失相关。基于 CCLE 数据库,我们发现 AKAP12 共表达基因富集在几个免疫和癌症相关通路中,这一结果通过基因集富集分析(GSEA)得到了进一步验证。此外,我们使用 TISIDB 数据库发现了 46 个与 AKAP12 表达显著相关的免疫调节剂,这些免疫调节剂参与了包括 Th17 细胞分化和自然杀伤细胞介导的细胞毒性在内的免疫相关通路。此外,基于这 46 个与 AKAP12 相关的免疫调节剂,我们使用 Cox 回归模型开发了一个 4 基因风险预测 signature。该风险 signature 被确定为一个独立的预后因素,能够准确预测 STAD 患者的预后,具有良好的预测性能。此外,我们构建了一个预后列线图和校准模型,通过整合风险评分和其他临床因素来预测和评估患者的生存概率。总之,我们的研究从免疫浸润细胞、免疫通路和免疫调节剂三个方面提供了强有力的证据,表明 AKAP12 与 STAD 中的肿瘤免疫密切相关。更重要的是,AKAP12 相关的预后 signature 可能在临床实践中有很好的应用前景。