ArticlePeerJ2021
Construction and validation of an RNA-binding protein-associated prognostic model for colorectal cancer.
Article in PeerJ, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 24 citations in OpenAlex.
- ER-Localized DeadenylaseExploration (Beijing, China) · 2026Article
- CELF family of RNA-binding proteins: roles in disease biology and potential for therapeutic intervention.Cell communication and signaling : CCS · 2026Review
- Uncovering the role of RNA binding proteins in colorectal cancer through single-cell transcriptomic analysis.Scientific reports · 2025Article
- Predictive Value and Immunological Role of the HSPA5 Gene in Cervical Cancer.Biochemical genetics · 2025Article
- Identification and validation of a novel six-gene signature based on mucinous adenocarcinoma-related gene molecular typing in colorectal cancer.Discover oncology · 2024Article
- The exploration of mitochondrial-related features helps to reveal the prognosis and immunotherapy methods of colorectal cancer.Cancer reports (Hoboken, N.J.) · 2024Article
- RNASE4 promotes malignant progression and chemoresistance in hypoxic glioblastoma via activation of AXL/AKT and NF-κB/cIAPs signaling pathways.American journal of cancer research · 2024Article
- Article
- Construction and Validation of a Protein-associated Prognostic Model for Gastrointestinal Cancer.Combinatorial chemistry & high throughput screening · 2023Article
- Unveiling mitophagy-mediated molecular heterogeneity and development of a risk signature model for colorectal cancer by integrated scRNA-seq and bulk RNA-seq analysis.Gastroenterology report · 2023Article
- Weighted gene co-expression network analysis combined with machine learning validation to identify key hub biomarkers in colorectal cancer.Functional & integrative genomics · 2022Article
- Whole genome sequencing reveals the independent clonal origin of multifocal ileal neuroendocrine tumors.Genome medicine · 2022Article
- Exonucleases: Degrading DNA to Deal with Genome Damage, Cell Death, Inflammation and Cancer.Cells · 2022Review
- Bioinformatics analysis reveals immune prognostic markers for overall survival of colorectal cancer patients: a novel machine learning survival predictive system.BMC bioinformatics · 2022Article
- A risk model of gene signatures for predicting platinum response and survival in ovarian cancer.Journal of ovarian research · 2022Article
- CELF Family Proteins in Cancer: Highlights on the RNA-Binding Protein/Noncoding RNA Regulatory Axis.International journal of molecular sciences · 2021Review
Corrections and comments
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Authors and funding
7 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 prevalent and fatal malignancies, and novel biomarkers for the diagnosis and prognosis of CRC must be identified. RNA-binding proteins (RBPs) are essential modulators of transcription and translation. They are frequently dysregulated in various cancers and are related to tumorigenesis and development. The mechanisms by which RBPs regulate CRC progression are poorly understood and no clinical prognostic model using RBPs has been reported in CRC. We sought to identify the hub prognosis-related RBPs and to construct a prognostic model for clinical use. mRNA sequencing and clinical data for CRC were obtained from The Cancer Genome Atlas database (TCGA). Gene expression profiles were analyzed to identify differentially expressed RBPs using R and Perl software. Hub RBPs were filtered out using univariate Cox and multivariate Cox regression analysis. We used functional enrichment analysis, including Gene Ontology and Gene Set Enrichment Analysis, to perform the function and mechanisms of the identified RBPs. The nomogram predicted overall survival (OS). Calibration curves were used to evaluate the consistency between the predicted and actual survival rate, the consistency index (c-index) was calculated, and the prognostic effect of the model was evaluated. Finally, we identified 178 differently expressed RBPs, including 121 up-regulated and 57 down-regulated proteins. Our prognostic model was based on nine RBPs (PNLDC1, RRS1, HEXIM1, PPARGC1A, PPARGC1B, BRCA1, CELF4, AEN and NOVA1). Survival analysis showed that patients in the high-risk subgroup had a worse OS than those in the low-risk subgroup. The area under the curve value of the receiver operating characteristic curve of the prognostic model is 0.712 in the TCGA cohort and 0.638 in the GEO cohort. These results show that the model has a moderate diagnostic ability. The c-index of the nomogram is 0.77 in the TCGA cohort and 0.73 in the GEO cohort. We showed that the risk score is an independent prognostic biomarker and that some RBPs may be potential biomarkers for the diagnosis and prognosis of CRC.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.