Nantong Integrated Traditional Chinese and Western Medicine Hospital, Nantong, Jiangsu, China.
Affiliated Tumor Hospital of Nantong University, Nantong, Jiangsu, China.
Sci Rep. 2023 Sep 23;13(1):15916. doi: 10.1038/s41598-023-43223-6.
The composition of microbial microenvironment is an important factor affecting the development of tumor diseases. However, due to the limitations of current technological levels, we are still unable to fully study and elucidate the depth and breadth of the impact of microorganisms on tumors, especially whether microorganisms have an impact on cancer. Therefore, the purpose of this study is to conduct in-depth research on the role and mechanism of prostate microbiome in gastric cancer (GC) based on the related genes of bacterial lipopolysaccharide (LPS) by using bioinformatics methods. Through comparison in the Toxin Genomics Database (CTD), we can find and screen out the bacterial LPS related genes. In the study, Venn plots and lasso analysis were used to obtain differentially expressed LPS related hub genes (LRHG). Afterwards, in order to establish a prognostic risk score model and column chart in LRHG features, we used univariate and multivariate Cox regression analysis for modeling and composition. In addition, we also conducted in-depth research on the clinical role of immunotherapy with TMB, MSI, KRAS mutants, and TIDE scores. We screened 9 LRHGs in the database. We constructed a prognostic risk score and column chart based on LRHG, indicating that low risk scores have a protective effect on patients. We particularly found that low risk scores are beneficial for immunotherapy through TIDE score evaluation. Based on LPS related hub genes, we established a LRHG signature, which can help predict immunotherapy and prognosis for GC patients. Bacterial lipopolysaccharide related genes can also be biomarkers to predict progression free survival in GC patients.
微生物微环境的组成是影响肿瘤疾病发展的重要因素。然而，由于当前技术水平的限制，我们仍然无法充分研究和阐明微生物对肿瘤的影响深度和广度，特别是微生物是否会对癌症产生影响。因此，本研究旨在通过生物信息学方法，基于细菌脂多糖（LPS）的相关基因，深入研究前列腺微生物组在胃癌（GC）中的作用和机制。通过在 Toxin Genomics Database（CTD）中的比较，我们可以发现和筛选出细菌 LPS 相关基因。在研究中，使用 Venn 图和 lasso 分析来获得差异表达的 LPS 相关枢纽基因（LRHG）。然后，为了在 LRHG 特征中建立预后风险评分模型和柱状图，我们使用单变量和多变量 Cox 回归分析进行建模和组成。此外，我们还对 TMB、MSI、KRAS 突变体和 TIDE 评分的免疫治疗的临床作用进行了深入研究。我们从数据库中筛选出 9 个 LRHG。我们基于 LRHG 构建了预后风险评分和柱状图，表明低风险评分对患者具有保护作用。我们特别通过 TIDE 评分评估发现，低风险评分有利于免疫治疗。基于 LPS 相关枢纽基因，我们建立了 LRHG 特征，可以帮助预测 GC 患者的免疫治疗和预后。细菌脂多糖相关基因也可以作为预测 GC 患者无进展生存期的生物标志物。
