Discover OncologyCancer BiologyPeer-reviewed journal article
Comprehensive Analysis of Exportins Expression and its Prognostic Significance in Colon Adenocarcinoma: Insights from Public Databases
- Citations
- 1
- FWCI
- 0.24
- Field percentile
- 36th percentile
Abstract
Colon cancer remains a significant health burden globally, necessitating deeper investigation. Identification and targeting of prognostic markers can significantly improve the current therapeutic approaches for colon cancer. The differential nuclear transport (import and export) of cellular proteins, plays an important role in tumor progression. Exportins, critical mediators of nuclear export, have emerged as potential players in cancer pathogenesis. However, their precise roles and prognostic significance in colon adenocarcinoma remain elusive. This study was designed to comprehensively analyse the expression and prognostic significance of all seven exportins in Colon Adenocarcinoma (COAD) using the online public database. We used public databases UALCAN, C-Bio portal, Human Protein Atlas (HPA), and DAVID, to investigate exportins in COAD patients. Kaplan-Meier plotter, Gene ontology (GO), TIMER, STRING, and KEGG were used to analyse data and draw conclusions. Our observations showed a significant correlation of exportins expression with clinical parameters, used to predict a patients prognosis in general, such as advancing tumor stage, overall/relapse-free survival, and immune cell infiltrations. Mutation analysis showed the presence of amplifications, missense mutations in XPO2 and XPO4, and deep deletions in XPO7 genes contributing to disease progression and patients survival. This study highlights the potential use of exportins as novel prognostic biomarkers and therapeutic targets for colon adenocarcinoma progression and management.
- organism: human
- assay: bulk RNA-seq
- research focus: differential expression
- research focus: protein structure prediction
- 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
- 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
- Prediction of Tubulin Inhibitor Sensitivity in Colon Cancer
José Liñares-Blanco, Irene Chicote, … José Antonio Seoane·bioRxiv·Jan 14, 2025
- Identification and verification of 3 key genes associated with survival and prognosis of patients with colon adenocarcinoma via integrated bioinformatics analysis
Yong Liu, Chao Li, … Rong Fan·Bioscience ReportsPeer-reviewed·Sep 1, 2020
- 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
- The key miRNAs for metastasis and survival of colon adenocarcinoma
Mengxi Yu, Wei Li, … Chengyan He·bioRxiv·Sep 4, 2019
- TROP2 represents a negative prognostic factor in colorectal adenocarcinoma and its expression is associated with features of epithelial-mesenchymal transition and invasiveness
J. Svec, M. Stastna, … V. Korinek·bioRxiv·Jul 27, 2022