Wu Yue, Liu Jingyu, Yin Tong, Li Xiaoxiao, Liu Xian, Peng Xiaobo, Zhan Xianbao
Department of Oncology, Changhai Hospital, Naval Military Medical University, Shanghai, 200433, China.
Discov Oncol. 2025 May 21;16(1):846. doi: 10.1007/s12672-025-02629-6.
The tumor microenvironment (TME) plays a crucial role in the occurrence and progression of gastric cancer. Yet, we still don't understand how immune and stromal components of TMEs are modulated. In this study, we applied the ESTIMATE algorithm to calculate the number of immune and stromal components in 410 STAD cases in the Cancer Genome Atlas (TCGA) database. COX regression analysis and protein-protein interaction (PPI) network construction were used to analyze differentially expressed genes (DEGs). Then, P-selectin (SELP) was identified as a predictor by cross-analysis of univariate COX and PPI. After verifying the clinical significance of SELP for study, we performed an immune infiltration analysis and identified 54 immunomodulators associated with SELP through public data. Immunomodulation associated with gastric cancer prognosis was then confirmed by LASSO regression, and the previous results were further validated with single-cell data. Finally, we verified that SELP can promote EMT on gastric cancer cells. In conclusion, we validated that SELP may affect the biological phenotype of gastric cancer with the immune microenvironment alteration of gastric cancer.
肿瘤微环境（TME）在胃癌的发生和发展中起着至关重要的作用。然而，我们仍然不清楚TME的免疫和基质成分是如何被调节的。在本研究中，我们应用ESTIMATE算法计算癌症基因组图谱（TCGA）数据库中410例胃腺癌（STAD）病例的免疫和基质成分数量。采用COX回归分析和蛋白质-蛋白质相互作用（PPI）网络构建来分析差异表达基因（DEG）。然后，通过单变量COX和PPI的交叉分析，将P-选择素（SELP）确定为一个预测因子。在验证了SELP对本研究的临床意义后，我们进行了免疫浸润分析，并通过公开数据鉴定了54个与SELP相关的免疫调节因子。然后通过LASSO回归证实了与胃癌预后相关的免疫调节作用，并用单细胞数据进一步验证了先前的结果。最后，我们证实SELP可促进胃癌细胞的上皮-间质转化（EMT）。总之，我们验证了SELP可能通过改变胃癌的免疫微环境来影响胃癌的生物学表型。
