Identification of the key genes and pathways in prostate cancer.
Identification of the key genes and pathways in prostate cancer.
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DOI：
10.3892/ol.2018.9491
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发表时间：
2018-11
期刊：
影响因子：
2.9
通讯作者：
Feng W
中科院分区：
文献类型：
--
作者：
Fan S;Liang Z;Gao Z;Pan Z;Han S;Liu X;Zhao C;Yang W;Pan Z;Feng W
前列腺癌（PCa）是全球男性最常见的恶性肿瘤之一。本研究的目的是确定参与PCa发生的关键基因和途径。从Gene Expression Omnibus下载基因表达谱（GSE 55945），并鉴定差异表达基因（DEG）。随后，对DEG进行了基因本体分析、KEGG通路分析和蛋白质-蛋白质相互作用（PPI）分析。最后，通过免疫组化证实了所鉴定的关键基因。GO分析结果表明，DEG主要参与细胞周期、细胞分裂、细胞发育和细胞连接。KEGG途径分析表明，DEG主要富集在癌、内吞、粘着斑和hippo信号通路中的蛋白多糖中。PPI分析结果表明RPS 21、FOXO 1、BIRC 5、POLR 2 H、RPL 22 L1和NPM 1是参与PCa发生的关键基因，Module分析表明PCa的发生与细胞周期、卵母细胞减数分裂和核糖体生物合成有关。免疫组化结果显示RPS 21、BIRC 5、POLR 2 H、RPL 22 L1和NPM 1在PCa中的表达显著上调，而FOXO 1在PCa中的表达显著下调，与生物信息学分析结果相吻合。目前已发现的PCa相关的关键基因和通路可能为PCa的预后、诊断和药物靶点提供潜在的生物标志物。
Prostate cancer (PCa) is one of the most common malignancies in men globally. The aim of the present study was to identify the key genes and pathways involved in the occurrence of PCa. Gene expression profile (GSE55945) was downloaded from Gene Expression Omnibus, and the differentially expressed genes (DEGs) were identified. Subsequently, Gene ontology analysis, KEGG pathway analysis and protein-protein interaction (PPI) analysis of DEGs were performed. Finally, the identified key genes were confirmed by immunohistochemistry. The GO analysis results showed that the DEGs were mainly participated in cell cycle, cell division, cell development and cell junction. The KEGG pathway analysis showed that the DEGs were mainly enriched in proteoglycans in cancer, endocytosis, focal adhesion and hippo signaling pathway. The PPI analysis results showed that RPS21, FOXO1, BIRC5, POLR2H, RPL22L1 and NPM1 were the key genes involved in the occurrence of PCa, and the Module analysis indicated that the occurrence of PCa was associated with cell cycle, oocyte meiosis and ribosome biogenesis. IHC result showed that the expression of RPS21, BIRC5, POLR2H, RPL22L1 and NPM1 were significantly upregulated in PCa, while the expression of FOXO1 was significantly downregulated in PCa, matching with the bioinformatics analysis. Taken together, several key genes and pathways were identified involved in PCa, which might provide the potential biomarker for prognosis, diagnosis and drug targets.
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将转录因子识别为单一的同源物2作为前列腺癌中潜在的生物标志物和免疫疗法靶标。
DOI：
10.1158/1078-0432.ccr-09-0911
发表时间：
2009-09-15
期刊：
Clinical cancer research : an official journal of the American Association for Cancer Research
影响因子：
--
作者：
Arredouani MS;Lu B;Bhasin M;Eljanne M;Yue W;Mosquera JM;Bubley GJ;Li V;Rubin MA;Libermann TA;Sanda MG
通讯作者：
Sanda MG
影响因子：
3.4
作者：
Mi B;Liu G;Zhou W;Lv H;Liu Y;Liu J
通讯作者：
Liu J
影响因子：
64.5
作者：
Cancer Genome Atlas Research Network
通讯作者：
Cancer Genome Atlas Research Network
影响因子：
3.6
作者：
Kanteti R;Mirzapoiazova T;Riehm JJ;Dhanasingh I;Mambetsariev B;Wang J;Kulkarni P;Kaushik G;Seshacharyulu P;Ponnusamy MP;Kindler HL;Nasser MW;Batra SK;Salgia R
通讯作者：
Salgia R
影响因子：
3.7
作者：
Huang CJ;Yang SH;Lee CL;Cheng YC;Tai SY;Chien CC
通讯作者：
Chien CC