Abstract
RNA-binding proteins (RBPs) play important roles in regulating gene expression and dysregulation of RBPs have been observed in various types of cancer. However, the role of RBPs during glioma progression, and particular in Chinese patients, is only starting to be unveiled. Here, we systematically analyzed the somatic mutation, gene expression patterns of 2949 RBPs during glioma progression. Our comprehensive study reveals several of highly mutated genes (such as ATRX, TTN and SETD2) and differentially expressed genes (such as KIF4A, TTK and CEP55). Integration of the expression of RBPs and genes, we constructed a regulatory network in glioma and revealed the functional links between RBPs and cancer-related genes. Moreover, we identified the prognosis spectrum of RBPs during glioma progression. The expression of a number of RBPs, such as SNRPN and IGF2BP3, are significantly associated with overall survival of patients in all grades. Taken together, our analyses provided a valuable RBP resource during glioma progression, and revealed several candidates that potentially contribute to development of therapeutic targets for glioma.
Highlights
RNA-binding proteins (RBPs) play crucial roles in post-transcriptional events and perturbations in RBP activity have been associated with various types of cancer (Pereira et al, 2017; Hentze et al, 2018)
We identified a number of RBPs with somatic mutations, differentially expressed during glioma progression
We found that glioma patients in high-grade exhibited poor prognosis (Figure 1A, log-rank p < 0.001)
Summary
RNA-binding proteins (RBPs) play crucial roles in post-transcriptional events and perturbations in RBP activity have been associated with various types of cancer (Pereira et al, 2017; Hentze et al, 2018). Understanding the function of RBPs in cancer will help identifying potential prognostic and response biomarkers for design of therapeutic targets (Bonnal et al, 2012; Kudinov et al, 2017). Systematical dissection of RBP functions during glioma progression will provide new insights into the underlying mechanisms of glioma. With the development of high throughput sequencing, numbers of RBPs have been identified (Gerstberger et al, 2014). Several databases have curated a number of RBPs. For example, RBPDB is a database for collection of experimentally validated RBPs (Cook et al, 2011). EuRBPDB has been constructed, which is a widely-used resource for RBPs
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