Catholic Research Institutes of Medical Science, College of Medicine, The Catholic University of Korea, Seoul, Korea.
PLoS One. 2012;7(8):e40960. doi: 10.1371/journal.pone.0040960. Epub 2012 Aug 31.
Aminoacyl-tRNA synthetases (ARSs) and ARS-interacting multifunctional proteins (AIMPs) exhibit remarkable functional versatility beyond their catalytic activities in protein synthesis. Their non-canonical functions have been pathologically linked to cancers. Here we described our integrative genome-wide analysis of ARSs to show cancer-associated activities in glioblastoma multiforme (GBM), the most aggressive malignant primary brain tumor. We first selected 23 ARS/AIMPs (together referred to as ARSN), 124 cancer-associated druggable target genes (DTGs) and 404 protein-protein interactors (PPIs) of ARSs using NCI's cancer gene index. 254 GBM affymetrix microarray data in The Cancer Genome Atlas (TCGA) were used to identify the probe sets whose expression were most strongly correlated with survival (Kaplan-Meier plots versus survival times, log-rank t-test <0.05). The analysis identified 122 probe sets as survival signatures, including 5 of ARSN (VARS, QARS, CARS, NARS, FARS), and 115 of DTGs and PPIs (PARD3, RXRB, ATP5C1, HSP90AA1, CD44, THRA, TRAF2, KRT10, MED12, etc). Of note, 61 survival-related probes were differentially expressed in three different prognosis subgroups in GBM patients and showed correlation with established prognosis markers such as age and phenotypic molecular signatures. CARS and FARS also showed significantly higher association with different molecular networks in GBM patients. Taken together, our findings demonstrate evidence for an ARSN biology-dominant contribution in the biology of GBM.
氨酰-tRNA 合成酶(ARSs)和 ARS 相互作用的多功能蛋白(AIMPs)除了在蛋白质合成中的催化活性外,还表现出显著的多功能性。它们的非典型功能与癌症有关。在这里,我们通过整合基因组范围的分析,描述了 ARS 在多形性胶质母细胞瘤(GBM)中的致癌作用,GBM 是最具侵袭性的原发性脑肿瘤。我们首先使用 NCI 的癌症基因指数选择了 23 种 ARS/AIMPs(统称 ARSN)、124 种癌症相关的可药用药物靶点基因(DTGs)和 404 种 ARS 的蛋白质-蛋白质相互作用(PPIs)。使用 254 个 GBM affymetrix 微阵列数据在癌症基因组图谱(TCGA)中鉴定表达与生存最密切相关的探针集(生存时间的 Kaplan-Meier 图与生存时间的 Kaplan-Meier 图比较,对数秩检验<0.05)。分析确定了 122 个探针集作为生存特征,包括 5 个 ARSN(VARS、QARS、CARS、NARS、FARS)和 115 个 DTGs 和 PPIs(PARD3、RXRB、ATP5C1、HSP90AA1、CD44、THRA、TRAF2、KRT10、MED12 等)。值得注意的是,61 个与生存相关的探针在 GBM 患者的三个不同预后亚组中差异表达,并与年龄和表型分子特征等已建立的预后标志物相关。CARS 和 FARS 与 GBM 患者的不同分子网络也有显著更高的相关性。总之,我们的研究结果证明了 ARSN 生物学在 GBM 生物学中的主导作用。