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胰腺癌基质细胞评分相关疾病预后特征的研究
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Abstract:
胰腺癌是预后最差的癌症之一。改善胰腺癌患者的预后是当下研究的目标。在本研究中，我们使用“estimate”软件包分析了胰腺癌的表达数据，计算了肿瘤微环境中基质细胞浸润的含量，并根据基质细胞得分的差异总结获得了差异表达基因(differentially expressed genes, DEGs)。这些DEGs被用于构建胰腺癌预后模型。本研究发现，模型中的风险分数能很好地区分不同特征胰腺癌患者的预后。风险分数与一些免疫细胞和免疫功能密切相关。我们的模型在胰腺癌研究中具有广阔的应用前景。
Pancreatic cancer is one of the worst prognosis cancers. It is the goal of researchers to improve the prognosis of patients with pancreatic cancer. In our study, we used “estimate” package to analyze the expression data of pancreatic adenocarcinoma, calculated the content of stromal cell infiltration in the tumor microenvironment, and obtained the differentially expressed genes according to the difference of stromal cell score. These differentially expressed genes are used to construct a prognostic model for pancreatic cancer. We found that the riskScore in our model can well distinguish the prognosis of patients with different characteristics. The riskScore was closely related to some immune cells and immune function. Our model has broad application prospects in the study of pancreatic cancer.
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