Feng Rui, Xu Jiali, Huang Jing, Liu Jiazhou, Wang Xiaoyu, Wang Jing, Zhang Chong, Li Hongzhong, Wei Yuxian, Ren Guosheng
Chongqing Key Laboratory of Molecular Oncology and Epigenetics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Department of Breast and Thyroid Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Heliyon. 2023 Dec 14;10(1):e23687. doi: 10.1016/j.heliyon.2023.e23687. eCollection 2024 Jan 15.
Breast cancer (BC) is one of the major dangerous tumors threatening women's lives. We here aimed to sort out prognostic immune-related genes by univariate Cox regression analysis and build a model of immune-related genes for forecasting the prognosis of BC patients. We identified UL16 binding protein 2 (ULBP2) as a valuable gene for study in the model using related databases and algorithms analysis. We found the stromal and immune cells scores were higher in ULBP2 high expression group and ULBP2 was related to kinds of immune cells, most importantly had negative correlation with CD8 T cell. Notably, ULBP2 was positively correlated with tumor mutational burden (TMB) and had relationship with many immune checkpoints. Correlation analysis revealed that ULBP2 expression was closely linked to the clinicopathological characters and negatively related to BC patient survival. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis showed the functional enrichment of differential genes related to ULBP2. Gene Set Enrichment Analysis (GSEA) indicated pathway enrichment in ULBP2 high and low expression groups. In short, this study comprehensively investigated the potential function of ULBP2 in BC, which might make ULBP2 to be an important therapeutic target for BC.
乳腺癌(BC)是威胁女性生命的主要危险肿瘤之一。我们旨在通过单因素Cox回归分析筛选出预后免疫相关基因,并构建一个免疫相关基因模型来预测BC患者的预后。我们使用相关数据库和算法分析确定UL16结合蛋白2(ULBP2)是该模型中有价值的研究基因。我们发现ULBP2高表达组的基质细胞和免疫细胞评分更高,且ULBP2与多种免疫细胞相关,最重要的是与CD8 T细胞呈负相关。值得注意的是,ULBP2与肿瘤突变负荷(TMB)呈正相关,并且与许多免疫检查点有关。相关性分析显示,ULBP2表达与临床病理特征密切相关,与BC患者生存率呈负相关。基因本体论(GO)和京都基因与基因组百科全书(KEGG)通路富集分析显示了与ULBP2相关的差异基因的功能富集。基因集富集分析(GSEA)表明ULBP2高表达组和低表达组存在通路富集。简而言之,本研究全面探讨了ULBP2在BC中的潜在功能,这可能使ULBP2成为BC的重要治疗靶点。