Background: Recently, extensive studies have shown that ferroptosis in cancer treatment has been increasingly confirmed. The current study aims to construct a robust ferroptosis-related lncRNAs signature prediction model of colorectal cancer (CRC) patients by bioinformatics analysisMethods: The transcriptome data were abstracted from The Cancer Genome Atlas (TCGA). Differentially expressed lncRNAs were screened by comparing 568 CRC tissues with 44 adjacent non-CRC tissues. Univariate Cox regression, lasso regression, multivariate Cox regression were conducted to design a ferroptosis-related lncRNA signature. This signature’s prognosis was verified by the log-rank test of Kaplan-Meier curve and the area under curve (AUC) of receiver operating characteristic (ROC) in train set, test set, and entire set. Furthermore, univariate and multivariate Cox regression were used to analyze its independent prognostic ability. The relationship of the ferroptosis-linked lncRNAs' expression and clinical variables was demonstrated by Wilcoxon rank-sum test and Kruskal-Wallis test. Gene set enrichment analysis (GSEA) was performed to signaling pathways it may involve.Results: 2541 differentially expressed lncRNAs were screened, of which 439 are ferroptosis-related lncRNAs. A seven ferroptosis-related lncRNAs (AC005550.2, LINC02381, AL137782.1, C2orf27A, AC156455.1, AL354993.2, AC008760.1) prognostic signature was constructed, validated and evaluated. This model's prognosis in the high-risk group is obviously worse than that of the low-risk group in train set, test set, and entire set. The AUC of ROC predicting the three years survival in the train set, test set, and entire set was 0.796, 0.715, and 0.758, respectively. Moreover, the designed molecular signature was found to be an independent prognostic variable. Compared to clinical variables, this signature's ROC curves demonstrated the second largest AUC value (0.737). The expression of these lncRNAs and the lncRNA signature are related to distant metastasis, Lymph-node status, clinical stage, T stage, KRAS mutation, BRAF mutation, MMR status, and perineural invasion. Finally, GSEA analysis results show that the signature is involved in six metabolism-related pathways.Conclusion: The current study constructed, validated, and evaluated a seven ferroptosis-related lncRNA signature which can independently be used to predict the prognosis of CRC patients, and it may become a new therapeutic target.