关键词: biomarkers fibroblast growth factor 2 fibroblast growth factor 8 fibroblast growth factors pancreatic adenocarcinoma prognosis biomarkers fibroblast growth factor 2 fibroblast growth factor 8 fibroblast growth factors pancreatic adenocarcinoma prognosis

来  源:   DOI:10.3892/ol.2022.13555   PDF(Pubmed)

Abstract:
Pancreatic adenocarcinoma (PAAD) is a malignant tumor with one of the highest associated mortality rates worldwide, and a 5-year survival rate of <5%. Fibroblast growth factors (FGFs) serve important roles in numerous cellular functions, and dysregulation of FGFs contributes to various cancer types. However, there are few reports on the function of FGFs in PAAD. The Assistant for Clinical Bioinformatics database, Gene Expression Profiling Interactive Analysis, Kaplan-Meier plotter and Tumor Immune Estimation Resource were utilized to perform the protein-protein interaction network, functional enrichment, univariate Cox regression, least absolute shrinkage and selection operator (LASSO) Cox, differential expression, prognostic value and immune cell infiltration analyses of FGFs in patients with PAAD. Immunohistochemistry (IHC) was used to verify the predictive value of the model. A total of 22 FGF genes were identified. Based on the results of LASSO Cox regression analysis, a total of six genes, including FGF2, FGF8, FGF9, FGF13, FGF17 and FGF22, were selected for the establishment of the prognostic gene signature. High transcriptional levels of FGF17 and FGF22 were significantly associated with long overall survival. The expression of FGFs was associated with the infiltration of various immune cells. According to univariate and multivariate analyses, FGF2 and FGF8 may be useful independent prognostic biomarkers for the prognosis of patients with PAAD. IHC demonstrated that FGF2 and FGF8 were more highly expressed in PAAD tissues compared with that in normal tissues. The present findings offer a novel understanding for the selection of FGF prognostic biomarkers in PAAD.
摘要:
胰腺癌(PAAD)是全球相关死亡率最高的恶性肿瘤之一。5年生存率<5%。成纤维细胞生长因子(FGF)在许多细胞功能中发挥重要作用,和FGFs的失调有助于各种癌症类型。然而,关于FGFs在PAAD中的功能的报道很少。临床生物信息学数据库助理,基因表达谱交互式分析,利用Kaplan-Meier绘图仪和肿瘤免疫估计资源进行蛋白质-蛋白质相互作用网络,功能富集,单变量Cox回归,最小绝对收缩和选择算子(LASSO)Cox,差异表达,PAAD患者FGFs的预后价值和免疫细胞浸润分析。免疫组织化学(IHC)用于验证模型的预测价值。总共鉴定了22个FGF基因。根据LASSOCox回归分析的结果,总共六个基因,包括FGF2、FGF8、FGF9、FGF13、FGF17和FGF22,用于建立预后基因标签。FGF17和FGF22的高转录水平与长期总生存期显著相关。FGFs的表达与多种免疫细胞的浸润有关。根据单变量和多变量分析,FGF2和FGF8可能是PAAD患者预后的有用自力预后生物标志物。IHC显示FGF2和FGF8在PAAD组织中的表达高于正常组织。本发现为PAAD中FGF预后生物标志物的选择提供了新的理解。
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