Abstract
Aims: To develop a ferroptosis gene-based survival-predictor model for predicting the prognosis of patients with digestive tract tumors, a pan-caner analysiswas performed. Materials & methods: Based on unsupervised clustering and the expression levels of ferroptosis genes, patients withcancer were dividedinto two clusters. The least absolute shrinkage and selection operator methodCox regression analysis was used to establish the survival-predictor model. Results: Based on thepan-cancer analysis, a 20 gene-based survival-predictor model for predicting survival rateswas developed, which was validated in patients withhepatocellular carcinoma. Conclusion:The survival-predictor modelaccurately predicted the prognosis of patients withdigestive tract tumors.
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