Observational studyBioscience reports2020
Identification and verification of three key genes associated with survival and prognosis of COAD patients via integrated bioinformatics analysis.
Observational study in Bioscience reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Transforming growth factor-β (TGF-β) signaling pathway-related genes in predicting the prognosis of colon cancer and guiding immunotherapy.Cancer pathogenesis and therapy · 2024Article
- Identifying individualized prognostic signature and unraveling the molecular mechanism of recurrence in early-onset colorectal cancer.European journal of medical research · 2023Article
- Identification of inflammatory factor-related genes associated with the prognosis and immune cell infiltration in colorectal cancer patients.Genes & diseases · 2023Article
- The NOTCH4-GATA4-IRG1 axis as a novel target in early-onset colorectal cancer.Cytokine & growth factor reviews · 2022Review
- Identification of a pyroptosis-related lncRNA risk model for predicting prognosis and immune response in colon adenocarcinoma.World journal of surgical oncology · 2022Article
- Evaluation of gene expression of PLEKHS1, AADAC, and CDKN3 as novel genomic markers in gastric carcinoma.PloS one · 2022Article
- Traditional chinese medicine syndromes classification associates with tumor cell and microenvironment heterogeneity in colorectal cancer: a single cell RNA sequencing analysis.Chinese medicine · 2021Article
- Identification of pivotal genes associated with the prognosis of gastric carcinoma through integrated analysis.Bioscience reports · 2021Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundColorectal cancer (CRC) is the third most lethal malignancy in the world, wherein colon adenocarcinoma (COAD) is the most prevalent type of CRC. Exploring biomarkers is important for the diagnosis, treatment, and prevention of COAD.
methodsWe used GEO2R and Venn online software for differential gene screening analysis. Hub genes were screened via Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) and Cytoscape, following Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. Finally, survival analysis and RNA expression validation were performed via UALCAN online software and real-time PCR. Immunohistochemistry (IHC) was performed to verify the protein expression level of hub genes from tissues of COAD patients.
resultsIn the present study, we screened 323 common differentially expressed genes (DEGs) from four GSE datasets. Furthermore, four hub genes were selected for survival correlation analysis and expression level verification, three of which were shown to be statistically significant.
conclusionOur study suggests that Serpin Family E Member 1 (SERPINE1), secreted phosphoprotein 1 (SPP1) and tissue inhibitor of metalloproteinase 1 (TIMP1) may be biomarkers closely related to the prognosis of CRC patients.
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