Zolotovskaia Marianna A, Tkachev Victor S, Seryakov Alexander P, Kuzmin Denis V, Kamashev Dmitry E, Sorokin Maxim I, Roumiantsev Sergey A, Buzdin Anton A
Oncobox Ltd., Skolkovo Innovation Center, 121205 Moscow, Russia.
Department of Oncology, Hematology and Radiotherapy of Pediatric Faculty, Pirogov Russian National Research Medical University, 117997 Moscow, Russia.
Cancers (Basel). 2020 Jan 22;12(2):271. doi: 10.3390/cancers12020271.
Carcinogenesis is linked with massive changes in regulation of gene networks. We used high throughput mutation and gene expression data to interrogate involvement of 278 signaling, 72 metabolic, 48 DNA repair and 47 cytoskeleton molecular pathways in cancer. Totally, we analyzed 4910 primary tumor samples with individual cancer RNA sequencing and whole exome sequencing profiles including ~1.3 million DNA mutations and representing thirteen cancer types. Gene expression in cancers was compared with the corresponding 655 normal tissue profiles. For the first time, we calculated mutation enrichment values and activation levels for these pathways. We found that pathway activation profiles were largely congruent among the different cancer types. However, we observed no correlation between mutation enrichment and expression changes both at the gene and at the pathway levels. Overall, positive median cancer-specific activation levels were seen in the DNA repair, versus similar slightly negative values in the other types of pathways. The DNA repair pathways also demonstrated the highest values of mutation enrichment. However, the signaling and cytoskeleton pathways had the biggest proportions of representatives among the outstandingly frequently mutated genes thus suggesting their initiator roles in carcinogenesis and the auxiliary/supporting roles for the other groups of molecular pathways.
癌症发生与基因网络调控的大量变化相关。我们使用高通量突变和基因表达数据来探究278条信号传导、72条代谢、48条DNA修复和47条细胞骨架分子途径在癌症中的参与情况。我们总共分析了4910份原发性肿瘤样本,这些样本具有个体癌症RNA测序和全外显子测序图谱,包括约130万个DNA突变,涵盖13种癌症类型。将癌症中的基因表达与相应的655份正常组织图谱进行比较。我们首次计算了这些途径的突变富集值和激活水平。我们发现,不同癌症类型之间的途径激活图谱在很大程度上是一致的。然而,我们在基因和途径水平上均未观察到突变富集与表达变化之间的相关性。总体而言,DNA修复途径的癌症特异性激活水平中位数为正值,而其他类型途径的类似值略为负值。DNA修复途径也显示出最高的突变富集值。然而,信号传导和细胞骨架途径在显著频繁突变的基因中具有最大比例的代表基因,因此表明它们在癌症发生中起启动作用,而对其他分子途径组起辅助/支持作用。