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基于数据挖掘的 FAM83D 在多种癌症中的致癌作用的系统分析。

Systematic analysis of the oncogenic role of FAM83D across cancers based on data mining.

机构信息

School of Clinical Medicine, Weifang Medical University, Weifang, Shandong Province, China.

Department of Oncology, Affiliated Hospital of Weifang Medical University, Weifang, Shandong Province, China.

出版信息

Cell Cycle. 2023 Apr;22(8):1005-1019. doi: 10.1080/15384101.2023.2171224. Epub 2023 Jan 29.

DOI:10.1080/15384101.2023.2171224
PMID:36710419
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10054166/
Abstract

Family with sequence similarity of 83D (FAM83D) is overexpressed in various cancers. However, no pan-cancer analysis is presently available. In the present study, we used a bioinformatics analysis to explore the diagnostic and prognostic value of FAM83D expression levels in human cancers. The GEPIA 2, TIMER 2.0, ENCORI, and DriverDBV3 databases were used to evaluate FAM83D expression levels. The potential prognostic value of FAM83D expression was analyzed using the GEPIA 2, UALCAN, and TISIB databases. The driver gene and promoter methylation levels regarding FAM83D were evaluated using the TIMER 2.0 and UALCAN databases. To further analyze interactive networks for FAM83D, FAM83D-binding proteins and related genes were determined using STRING and Gene MANIA analytic tools. Highly expressed FAM83D could be associated with mutated and promoter DNA methylation. Relative network analysis suggested that FAM83D was mainly involved in the progesterone-mediated oocyte maturation pathway, cell cycle regulation, and several other signaling pathways. Therefore, the differential expression of FAM83D could serve as a diagnostic and prognostic biomarker for various cancers. Our study revealed useful information about the differential expression of FAM83D, prognostic values, and potential functional networks in a variety of cancers, providing valuable substantive and methodological information to explore the underlying mechanisms. BP: Biological processes; CC: Cellular components; DAVID: Database for Annotation, Visualization, and Integrated Discovery; DFS: Disease-free survival; ENCORI: Encyclopedia of RNA Interactomes; FAM83: Family with sequence similarity 83; FAM83D: Family with sequence similarity of 83D; GEO: Gene Expression Omnibus; GEPIAx2: Gene Expression Profiling Interactive Analysis 2; GO: Gene Ontology; GTEx: Genotype-Tissue Expression; KEGG: Kyoto Encyclopedia of Genes and Genomes; KIRC: Kidney renal clear cell carcinoma; LIHC: Liver hepatocellular carcinoma; LUAD: Lung adenocarcinoma; MF: Molecular functions miRNA: microRNA; OS: Overall survival; PAAD: Pancreatic adenocarcinoma; PPI: Protein - protein interaction; RNA-seq: RNA-sequencing; TCGA: The Cancer Genome Atlas; TIMER 2.0: Tumor Immune Estimation Resource 2.0; UALCAN: University of Alabama at Birmingham Cancer; UCEC: Uterine corpus endometrial carcinoma.

摘要

家族与序列相似性 83D(FAM83D)在各种癌症中过度表达。然而,目前尚无泛癌症分析。在本研究中,我们使用生物信息学分析探讨 FAM83D 表达水平在人类癌症中的诊断和预后价值。使用 GEPIA2、TIMER2.0、ENCORI 和 DriverDBV3 数据库评估 FAM83D 表达水平。使用 GEPIA2、UALCAN 和 TISIB 数据库分析 FAM83D 表达的潜在预后价值。使用 TIMER2.0 和 UALCAN 数据库评估 FAM83D 的驱动基因和启动子甲基化水平。使用 STRING 和 GeneMANIA 分析工具确定与 FAM83D 结合的蛋白质和相关基因,以进一步分析 FAM83D 的交互网络。高表达的 FAM83D 可能与突变和启动子 DNA 甲基化有关。相对网络分析表明,FAM83D 主要参与孕激素介导的卵母细胞成熟途径、细胞周期调控和其他几种信号通路。因此,FAM83D 的差异表达可以作为各种癌症的诊断和预后生物标志物。本研究揭示了 FAM83D 在各种癌症中的差异表达、预后价值和潜在功能网络的有用信息,为探索潜在机制提供了有价值的实质性和方法学信息。BP:生物过程;CC:细胞成分;DAVID:数据库注释、可视化和综合发现;DFS:无病生存;ENCORI:RNA 相互作用百科全书;FAM83:家族与序列相似性 83;FAM83D:家族与序列相似性 83D;GEO:基因表达综合数据库;GEPIAx2:基因表达谱交互式分析 2;GO:基因本体论;GTEx:基因-组织表达;KEGG:京都基因与基因组百科全书;KIRC:肾透明细胞癌;LIHC:肝肝细胞癌;LUAD:肺腺癌;MF:分子功能 miRNA:微小 RNA;OS:总体生存;PAAD:胰腺腺癌;PPI:蛋白质-蛋白质相互作用;RNA-seq:RNA 测序;TCGA:癌症基因组图谱;TIMER2.0:肿瘤免疫估计资源 2.0;UALCAN:阿拉巴马大学伯明翰分校癌症;UCEC:子宫体子宫内膜癌。

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DAVID: a web server for functional enrichment analysis and functional annotation of gene lists (2021 update).DAVID:一个用于基因列表功能富集分析和功能注释的网络服务器(2021 更新)。
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Cancer statistics, 2022.癌症统计数据,2022 年。
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