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Gene expression profiling of spontaneously occurring canine mammary tumours: Insight into gene networks and pathways linked to cancer pathogenesis

机译:自发发生的犬乳腺肿瘤的基因表达谱:洞察与癌症发病机理相关的基因网络和途径

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摘要

Spontaneously occurring canine mammary tumours (CMTs) are the most common neoplasms of unspayed female dogs leading to thrice higher mortality rates than human breast cancer. These are also attractive models for human breast cancer studies owing to clinical and molecular similarities. Thus, they are important candidates for biomarker studies and understanding cancer pathobiology. The study was designed to explore underlying molecular networks and pathways in CMTs for deciphering new prognostic factors and therapeutic targets. To gain an insight into various pathways and networks associated with the development and pathogenesis of CMTs, comparative cDNA microarray expression profiling was performed using CMT tissues and healthy mammary gland tissues. Upon analysis, 1700 and 1287 differentially expressed genes (DEGs, P ≤ 0.05) were identified in malignant and benign tissues, respectively. DEGs identified from microarray analysis were further annotated using the Ingenuity Systems Pathway Analysis (IPA) tool for detection of deregulated canonical pathways, upstream regulators, and networks associated with malignant, as well as, benign disease. Top scoring key networks in benign and malignant mammary tumours were having central nodes of VEGF and BUB1B, respectively. Cyclins & cell cycle regulation and TREM1 signalling were amongst the top activated canonical pathways in CMTs. Other cancer related significant pathways like apoptosis signalling, dendritic cell maturation, DNA recombination and repair, Wnt/β-catenin signalling, etc. were also found to be altered. Furthermore, seven proteins (ANXA2, APOCII, CDK6, GATC, GDI2, GNAQ and MYH9) highly up-regulated in malignant tissues were identified by two-dimensional gel electrophoresis (2DE) and MALDI-TOF PMF studies which were in concordance with microarray data. Thus, the study has uncovered ample number of candidate genes associated with CMTs which need to be further validated as therapeutic targets and prognostic markers.
机译:自发发生的犬乳腺肿瘤(CMT)是无偿雌性狗的最常见肿瘤,其死亡率比人类乳腺癌高出三倍。由于临床和分子相似性,这些也是用于人类乳腺癌研究的有吸引力的模型。因此,它们是生物标志物研究和理解癌症病理生物学的重要候选者。该研究旨在探索CMT中潜在的分子网络和途径,以破译新的预后因素和治疗靶标。为了深入了解与CMT的发展和发病机理相关的各种途径和网络,使用CMT组织和健康的乳腺组织进行了比较性的cDNA微阵列表达谱分析。经分析,在恶性和良性组织中分别鉴定出1700和1287个差异表达基因(DEG,P≤0.05)。使用Ingenuity Systems Pathway Analysis(IPA)工具进一步注释从微阵列分析中鉴定出的DEG,以检测失调的规范通路,上游调节剂和与恶性以及良性疾病相关的网络。良性和恶性乳腺肿瘤中得分最高的关键网络分别具有VEGF和BUB1B的中心结点。细胞周期蛋白和细胞周期调控以及TREM1信号传导是CMT中最活跃的经典途径之一。还发现其他与癌症相关的重要途径如凋亡信号传导,树突状细胞成熟,DNA重组和修复,Wnt /β-catenin信号传导等也发生了改变。此外,通过二维凝胶电泳(2DE)和MALDI-TOF PMF研究确定了在恶性组织中上调的七种蛋白质(ANXA2,APOCII,CDK6,GATC,GDI2,GNAQ和MYH9),这些蛋白质与微阵列数据相一致。因此,该研究发现了与CMT相关的大量候选基因,需要进一步验证其作为治疗靶点和预后标志物。

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