Comprehensive analysis of normal adjacent to tumor transcriptomes.
Comprehensive analysis of normal adjacent to tumor transcriptomes.
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DOI：
10.1038/s41467-017-01027-z
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发表时间：
2017-10-20
影响因子：
16.6
通讯作者：
Butte AJ
中科院分区：
文献类型：
--
作者：
Aran D;Camarda R;Odegaard J;Paik H;Oskotsky B;Krings G;Goga A;Sirota M;Butte AJ
在癌症研究中，肿瘤旁的正常组织(NAT)通常用作对照。然而，关于NAT的转录图谱，它如何受到肿瘤的影响，以及该图谱与非肿瘤组织的比较，人们知之甚少。在这里，我们整合了来自基因-组织表达项目和癌症基因组图谱的数据，综合分析了8种组织和相应肿瘤类型的6506个样本中健康、NAT和肿瘤组织的转录。我们的分析表明，NAT在健康和肿瘤之间呈现出一种独特的中间状态。差异基因表达和蛋白质-蛋白质相互作用分析表明，不同组织类型的NAT之间共享的路径发生了变化。我们描述了一组在NAT中被特异性激活的18个基因的特征。通过应用途径和组织成分分析，我们认为来自肿瘤的促炎信号的泛癌机制刺激邻近内皮细胞的炎症反应。在癌症研究中，肿瘤附近的正常组织(NAT)经常被用作对照。在这里，作者分析了健康、NAT和肿瘤组织的转录本，发现NAT呈现出一种独特的状态，可能是由于NAT对肿瘤组织的炎症反应。
Histologically normal tissue adjacent to the tumor (NAT) is commonly used as a control in cancer studies. However, little is known about the transcriptomic profile of NAT, how it is influenced by the tumor, and how the profile compares with non-tumor-bearing tissues. Here, we integrate data from the Genotype-Tissue Expression project and The Cancer Genome Atlas to comprehensively analyze the transcriptomes of healthy, NAT, and tumor tissues in 6506 samples across eight tissues and corresponding tumor types. Our analysis shows that NAT presents a unique intermediate state between healthy and tumor. Differential gene expression and protein–protein interaction analyses reveal altered pathways shared among NATs across tissue types. We characterize a set of 18 genes that are specifically activated in NATs. By applying pathway and tissue composition analyses, we suggest a pan-cancer mechanism of pro-inflammatory signals from the tumor stimulates an inflammatory response in the adjacent endothelium. Normal tissue adjacent to the tumour (NAT) is often used as a control in cancer studies. Here, the authors analyse across cancer types the transcriptomes of healthy, NAT, and tumour tissues, and find that NAT presents a unique state, potentially due to inflammatory response of the NAT to the tumour tissue.
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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：
64.8
作者：
通讯作者：
--
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：
8.8
作者：
通讯作者：
--
影响因子：
3.8
作者：
Chandran UR;Dhir R;Ma C;Michalopoulos G;Becich M;Gilbertson J
通讯作者：
Gilbertson J