ArticleFrontiers in cell and developmental biology2020
Integrated Analysis of the Functions and Prognostic Values of RNA-Binding Proteins in Colorectal Cancer.
Article in Frontiers in cell and developmental biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 8 citations in OpenAlex.
- Discovery of Novel miRNAs in Colorectal Cancer: Potential Biological Roles and Clinical Utility.Non-coding RNA · 2023Article
- Molecular Heterogeneity of Cervical Cancer Among Different Ethnic/Racial Populations.Journal of racial and ethnic health disparities · 2022Article
- DNA methylome in visceral adipose tissue can discriminate patients with and without colorectal cancer.Epigenetics · 2022Article
- A Diagnostic Model Using Exosomal Genes for Colorectal Cancer.Frontiers in genetics · 2022Article
- A New RBPs-Related Signature Predicts the Prognosis of Colon Adenocarcinoma Patients.Frontiers in oncology · 2021Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Colorectal cancer (CRC) is one of the most common malignant tumors. Selecting effective treatment for CRC patients, especially in the early stages, remains a challenge because of the lack of adequate biomarkers. Recent evidence suggests that RNA-binding proteins (RBPs) play a vital role in development and progression of carcinogenesis. However, their mechanisms in cancer progression are still limited. The role of RBPs in CRC has been poorly understood. There were 1,542 reported RBPs analyzed between CRC tissues and normal tissues using the Wilcoxon test to identify differentially expressed RBPs (DE RBPs). Then, the potential functions and the prognostic value of these DE RBPs were explored through systematic bioinformatics analysis. There were 177 DE RBPs identified between CRC tissues and normal tissues. A protein-protein interaction network was constructed based on DE RBPs, and critical modules were screened. A regulatory network between prognostic DE RBPs and differentially expressed transcription factors was constructed. Besides, a risk signature was built based on prognostic DE RBPs, which is able to predict overall survival of CRC patients with high accuracy. In conclusion, the results provided a comprehensive understanding of the functions of RBPs in CRC, as well as an RBP-related prognostic signature.
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Registered trials
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