ArticleCancer management and research2020
Bioinformatics Analysis Identifies a Novel Role of
Article in Cancer management and research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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Who cites it
10 citing papers in PubMed, 19 citations in OpenAlex.
- Unraveling the oncogenic and immunomodulatory roles of GINS1: a systematic pan-cancer study.Cancer cell international · 2026Article
- Epicatechin attenuates the stemness of liver cancer stem cells and tumorigenesis through DNA methylation-mediated inactivation of GINS1/HRAS.Journal of translational medicine · 2025Article
- OTU deubiquitinase, ubiquitin aldehyde binding 2 (OTUB2) modulates the stemness feature, chemoresistance, and epithelial-mesenchymal transition of colon cancer via regulating GINS complex subunit 1 (GINS1) expression.Cell communication and signaling : CCS · 2024Article
- Article
- PAX5 and circ1857 affected DLBCL progression and B-cell proliferation through regulating GINS1.Cancer science · 2023Article
- Identification of Key MicroRNAs and Genes between Colorectal Adenoma and Colorectal Cancer via Deep Learning on GEO Databases and Bioinformatics.Contrast media & molecular imaging · 2023Article
- GINS1 promotes the proliferation and migration of glioma cells through USP15-mediated deubiquitination of TOP2A.iScience · 2022Article
- Combined analysis of expression, prognosis and immune infiltration of GINS family genes in human sarcoma.Aging · 2022Article
- Identification of lncRNA/circRNA-miRNA-mRNA ceRNA Network as Biomarkers for Hepatocellular Carcinoma.Frontiers in genetics · 2022Article
- Identification of 9 Gene Signatures by WGCNA to Predict Prognosis for Colon Adenocarcinoma.Computational intelligence and neuroscience · 2022Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundColorectal cancer (CRC) is one of the most lethal malignancies and the incidence of CRC has been on the rise. Herein, we aimed to identify effective biomarkers for early diagnosis and treatment of colorectal cancer via bioinformatic tools.
methodsTo identify differentially expressed genes (DEGs) in CRC, we downloaded CRC gene expression data from GSE24514 and GSE110223 datasets in Gene Expression Omnibus (GEO) and employed R to analyze the data. We further performed functional enrichment analysis of the DEGs on the DAVID gene ontology analysis tool. STRING database and Cytoscape visualization tool were employed to construct a PPI (protein-protein interaction) network and establish intensive intervals in the network. Immunohistochemistry, qRT-PCR and Western blotting were performed to identify the expression level of
resultsAmong the two datasets, 389 DEGs were identified and used to construct a PPI network. These genes were mainly involved in cell proliferation and cell cycle. Among them, 15 genes including
conclusions
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.