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FN1 编码纤连蛋白作为治疗胰腺癌的关键信号基因。

FN1 encoding fibronectin as a pivotal signaling gene for therapeutic intervention against pancreatic cancer.

机构信息

Medical and Biological Computing Laboratory, School of Biosciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, 632014, India.

Department of Bio-Sciences, School of Biosciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, 632014, India.

出版信息

Mol Genet Genomics. 2022 Nov;297(6):1565-1580. doi: 10.1007/s00438-022-01943-w. Epub 2022 Aug 18.

Abstract

The delayed diagnosis of pancreatic cancer has resulted in rising mortality rate and low survival rate that can be circumvented using potent theranostics biomarkers. The treatment gets complicated with delayed detection resulting in lowered 5-year relative survival rate. In our present study, we employed systems biology approach to identify central genes that play crucial roles in tumor progression. Pancreatic cancer genes collected from various databases were used to construct a statistically significant interactome with 812 genes that was further analysed thoroughly using topological parameters and functional enrichment analysis. The significant genes in the network were then identified based on the maximum degree parameter. The overall survival analysis indicated through hazard ratio [HR] and gene expression [log Fold Change] across pancreatic adenocarcinoma revealed the critical role of FN1 [HR 1.4; log2(FC) 5.748], FGA [HR 0.78; log2(FC) 1.639] FGG [HR 0.9; log2(FC) 1.597], C3 [HR 1.1; log2(FC) 2.637], and QSOX1 [HR 1.4; log2(FC) 2.371]. The functional significance of the identified hub genes signified the enrichment of integrin cell surface interactions and proteoglycan syndecan-mediated cell signaling. The differential expression, low overall survival and functional significance of FN1 gene implied its possible role in controlling metastasis in pancreatic cancer. Furthermore, alternate splice variants of FN1 gene showed 10 protein coding transcripts with conserved cell attachment site and functional domains indicating the variants' potential role in pancreatic cancer. The strong association of the identified hub-genes can be better directed to design potential theranostics biomarkers for metastasized pancreatic tumor.

摘要

胰腺癌的诊断延迟导致死亡率上升和生存率低,而使用有效的治疗诊断生物标志物可以避免这种情况。由于检测延迟,治疗变得复杂,导致 5 年相对生存率降低。在我们目前的研究中,我们采用系统生物学方法来确定在肿瘤进展中起关键作用的核心基因。从各种数据库中收集胰腺癌基因,构建了一个具有 812 个基因的统计学上显著的相互作用网络,然后使用拓扑参数和功能富集分析对其进行了深入分析。根据最大度数参数确定网络中的显著基因。通过风险比 [HR] 和胰腺癌的基因表达 [log 倍数变化] 进行总体生存分析表明,FN1[HR 1.4;log2(FC) 5.748]、FGA[HR 0.78;log2(FC) 1.639]、FGG[HR 0.9;log2(FC) 1.597]、C3[HR 1.1;log2(FC) 2.637]和 QSOX1[HR 1.4;log2(FC) 2.371] 的关键作用。鉴定的枢纽基因的功能意义表明整合素细胞表面相互作用和蛋白聚糖 syndecan 介导的细胞信号转导的富集。FN1 基因的差异表达、低总体生存率和功能意义表明其在控制胰腺癌转移中的可能作用。此外,FN1 基因的替代剪接变体显示 10 个具有保守细胞附着位点和功能结构域的蛋白编码转录本,表明变体在胰腺癌中的潜在作用。鉴定的枢纽基因的强相关性可以更好地指导设计转移性胰腺肿瘤的潜在治疗诊断生物标志物。

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