Development and Validation of A ferroptosis-Related Model for Three Digestive Tract Tumors Based on a Pan-Cancer Analysis

Abstract

Aims: To develop a ferroptosis gene-based survival-predictor model for predicting the prognosis of patients with digestive tract tumors, a pan-caner analysis was performed. Materials & methods: Based on unsupervised clustering and the expression levels of ferroptosis genes, patients with cancer were divided into two clusters. The least absolute shrinkage and selection operator method Cox regression analysis was used to establish the survival-predictor model. Results: Based on the pan-cancer analysis, a 20 gene-based survival-predictor model for predicting survival rates was developed, which was validated in patients with hepatocellular carcinoma. Conclusion: The survival-predictor model accurately predicted the prognosis of patients with digestive tract tumors.

Keywords::

• cholangiocarcinoma
• ferroptosis genes
• ferroptosis phenotype-related genes
• liver hepatocellular carcinoma
• pan-cancer analysis
• pancreatic adenocarcinoma
• The Cancer Genome Atlas

Supplementary data

To view the supplementary data that accompany this paperplease visit the journal website at: www.tandfonline.com/doi/suppl/10.2217/epi-2021-0261

Z Zhang, PDP Akuetteh and L Lin contributed to the design of this study, bioinformatics analysis and manuscript draft. PDP Akuetteh and L Lin contributed to the compilation of data, revision of the manuscript and manuscript draft. Y Wu, Y Li and W Huang contributed to bioinformatic analysis, revision of the manuscript and manuscript draft. H Ni, H Lv and Q Zhang contributed to the revision of the manuscript. All authors read and approved the final manuscript.

Financial & competing interests disclosure

The authors have no relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript. This includes employment, consultancies, honoraria, stock ownership or options, expert testimony, grants or patents received or pending, or royalties.

No writing assistance was utilized in the production of this manuscript.

Availability of data & materials

The datasets generated and/or analyzed during the current study are available in the Cancer Genome Atlas (TCGA; https://portal.gdc.cancer.gov/) and the International Cancer Genome Consortium (ICGC; https://icgc.org/). The ferroptosis genes are available Kyoto Encyclopedia of Genes and Genomes (KEGG; https://www.kegg.jp/).