Holstein Elisa, Dittmann Annalena, Kääriäinen Anni, Pesola Vilma, Koivunen Jarkko, Pihlajaniemi Taina, Naba Alexandra, Izzi Valerio
Faculty of Biochemistry and Molecular Medicine, University of Oulu, FI-90014 Oulu, Finland.
Department of Physiology and Biophysics, University of Illinois at Chicago, Chicago, IL 60612, USA.
Cancers (Basel). 2021 Mar 3;13(5):1081. doi: 10.3390/cancers13051081.
To evaluate the occurrence of mutations affecting post-translational modification (PTM) sites in matrisome genes across different tumor types, in light of their genomic and functional contexts and in comparison with the rest of the genome.
This study spans 9075 tumor samples and 32 tumor types from The Cancer Genome Atlas (TCGA) Pan-Cancer cohort and identifies 151,088 non-silent mutations in the coding regions of the matrisome, of which 1811 affecting known sites of hydroxylation, phosphorylation, N- and O-glycosylation, acetylation, ubiquitylation, sumoylation and methylation PTM.
PTM-disruptive mutations (PTM) in the matrisome are less frequent than in the rest of the genome, seem independent of cell-of-origin patterns but show dependence on the nature of the matrisome protein affected and the background PTM types it generally harbors. Also, matrisome PTM are often found among structural and functional protein regions and in proteins involved in homo- and heterotypic interactions, suggesting potential disruption of matrisome functions.
Though quantitatively minoritarian in the spectrum of matrisome mutations, PTM show distinctive features and damaging potential which might concur to deregulated structural, functional, and signaling networks in the tumor microenvironment.
鉴于基质组基因中影响翻译后修饰(PTM)位点的突变发生情况,结合其基因组和功能背景,并与基因组的其他部分进行比较,以评估不同肿瘤类型中的此类突变。
本研究涵盖了来自癌症基因组图谱(TCGA)泛癌队列的9075个肿瘤样本和32种肿瘤类型,在基质组的编码区域鉴定出151,088个非同义突变,其中1811个影响已知的羟基化、磷酸化、N-和O-糖基化、乙酰化、泛素化、SUMO化和甲基化PTM位点。
基质组中破坏PTM的突变(PTM突变)比基因组其他部分的频率更低,似乎与细胞起源模式无关,但显示出对受影响的基质组蛋白性质及其通常具有的背景PTM类型的依赖性。此外,基质组PTM突变经常出现在结构和功能蛋白区域以及参与同型和异型相互作用的蛋白质中,这表明基质组功能可能受到潜在破坏。
尽管在基质组突变谱中数量较少,但PTM突变显示出独特的特征和潜在危害,这可能与肿瘤微环境中结构、功能和信号网络的失调有关。