Bioscience ReportsBioinformaticsPeer-reviewed journal article
Identification and verification of 3 key genes associated with survival and prognosis of patients with colon adenocarcinoma via integrated bioinformatics analysis
Yong LiuiD, Chao LiiD, Lijin DongiD, Ping LiiD, 学维 陈, Rong Fan
- Citations
- 19
- FWCI
- 1.05
- Field percentile
- top 26%
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 STRING and Cytoscape, following Gene Ontology and KEGG enrichment analysis. Finally, survival analysis and expression validation were performed via UALCAN online software, real-time PCR and immunohistochemistry. ResultsIn this study, we screened 323 common differentially expressed genes 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 SERPINE1, SPP1 and TIMP1 may be biomarkers closely related to the prognosis of CRC patients.
- organism: human
- assay: bulk RNA-seq
- research focus: differential expression
- approach: statistical model
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- A comprehensive multi-omics study reveals potential prognostic and diagnostic biomarkers for colorectal cancer
Mohita Mahajan, Subodh Dhabalia, … Sukanta Mondal·International Journal of Biological MacromoleculesPeer-reviewed·Feb 3, 2025
- Evaluation of the Prognostic Value of Four ECM-Associated Genes in Recurrence and Metastasis of Colorectal Cancer
Seçil Durel Avcıoğlu, Sulgun Charyeva, … Hi̇lal Özdağ·bioRxiv·Jan 13, 2025
- Multi-omics analysis of the potential of MACC1 as a biomarker and therapeutic target for colonic adenocarcinoma
Zhenkun Chen, Chun Zheng, … Peng Sun·bioRxiv·Mar 24, 2026
- cSurvival: a web resource for biomarker interactions in cancer outcomes
Xuanjin Cheng, Yongxing Liu, … Stefan Taubert·Briefings in BioinformaticsPeer-reviewed·Feb 24, 2022
- Identification of Potential Hub Genes and Therapeutic Targets in Colorectal Cancer Using Integrated Bioinformatics Approaches
Dhanabalan Kamalakannan, Manivannan R, … Dilip Kumar·bioRxiv·Nov 16, 2024
- Gene Expression Meta-Analysis of Colon Rectal Cancer Tumour Cells Reveals Genes in Association With Tumorogenesis.
Rutvi Vaja·bioRxiv·Jan 30, 2022