Molecular pathways involved in prostate carcinogenesis: insights from public microarray datasets.
Molecular pathways involved in prostate carcinogenesis: insights from public microarray datasets.
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参与前列腺癌变的分子途径：公共微阵列数据集的见解。
DOI：
10.1371/journal.pone.0049831
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发表时间：
2012
期刊：
影响因子：
3.7
通讯作者：
Eijssen LM
中科院分区：
文献类型：
--
作者：
Baetke SC;Adriaens ME;Seigneuric R;Evelo CT;Eijssen LM
前列腺癌是目前被诊断为男性最常见的恶性肿瘤，也是工业化国家癌症相关死亡的第二大原因。在世界范围内，由于预期寿命的延长、人口老龄化和诊断的改善，前列腺癌发病率预计会增加。尽管前列腺癌发生的具体潜在机制尚不清楚，但前列腺癌被认为是遗传和环境因素共同作用的结果，改变了关键的细胞过程。为了阐明这些复杂的相互作用，并有助于理解前列腺癌的进展和转移，使用生物信息学方法对大规模基因表达研究进行分析，以破译核心过程的调节。在这项研究中，标准化的质量控制程序和统计分析(http://www.arrayanalysis.org/))被应用于从ArrayExpress数据库检索的多个前列腺癌数据集，并使用Path Visio(http://www.pathvisio.org/))进行路径分析。这些结果导致确定了在前列腺癌发生过程中受到强烈影响的三个核心生物学过程：胆固醇的生物合成、上皮向间充质转化的过程和代谢活动的增加。这项研究说明了现有微阵列数据的标准化生物信息学评估和后续途径分析如何能够快速且经济高效地提供有关前列腺癌发生和疾病进展所涉及的重要分子途径和细胞过程的基本信息。提出的结果可能有助于生物标志物分析和开发新的治疗方法。
Prostate cancer is currently the most frequently diagnosed malignancy in men and the second leading cause of cancer-related deaths in industrialized countries. Worldwide, an increase in prostate cancer incidence is expected due to an increased life-expectancy, aging of the population and improved diagnosis. Although the specific underlying mechanisms of prostate carcinogenesis remain unknown, prostate cancer is thought to result from a combination of genetic and environmental factors altering key cellular processes. To elucidate these complex interactions and to contribute to the understanding of prostate cancer progression and metastasis, analysis of large scale gene expression studies using bioinformatics approaches is used to decipher regulation of core processes. In this study, a standardized quality control procedure and statistical analysis (http://www.arrayanalysis.org/) were applied to multiple prostate cancer datasets retrieved from the ArrayExpress data repository and pathway analysis using PathVisio (http://www.pathvisio.org/) was performed. The results led to the identification of three core biological processes that are strongly affected during prostate carcinogenesis: cholesterol biosynthesis, the process of epithelial-to-mesenchymal transition and an increased metabolic activity. This study illustrates how a standardized bioinformatics evaluation of existing microarray data and subsequent pathway analysis can quickly and cost-effectively provide essential information about important molecular pathways and cellular processes involved in prostate cancer development and disease progression. The presented results may assist in biomarker profiling and the development of novel treatment approaches.
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影响因子：
4
作者：
Baron, A;Migita, T;Loda, M
通讯作者：
Loda, M
影响因子：
12.3
作者：
Gentleman RC;Carey VJ;Bates DM;Bolstad B;Dettling M;Dudoit S;Ellis B;Gautier L;Ge Y;Gentry J;Hornik K;Hothorn T;Huber W;Iacus S;Irizarry R;Leisch F;Li C;Maechler M;Rossini AJ;Sawitzki G;Smith C;Smyth G;Tierney L;Yang JY;Zhang J
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Zhang J
影响因子：
14.9
作者：
Parkinson H;Sarkans U;Kolesnikov N;Abeygunawardena N;Burdett T;Dylag M;Emam I;Farne A;Hastings E;Holloway E;Kurbatova N;Lukk M;Malone J;Mani R;Pilicheva E;Rustici G;Sharma A;Williams E;Adamusiak T;Brandizi M;Sklyar N;Brazma A
通讯作者：
Brazma A
影响因子：
3.8
作者：
Gregg JL;Brown KE;Mintz EM;Piontkivska H;Fraizer GC
通讯作者：
Fraizer GC
影响因子：
2.7
作者：
Lawrence, Mitchell G.;Veveris-Lowe, Tara L.;Clements, Judith A.
通讯作者：
Clements, Judith A.