Background: Pancreatic cancer (PC) is one of the most lethal malignancies, the mortality and morbidity of which have been increasing over the past decade. Ferroptosis, a newly identified iron-dependent pattern of cell death, can be induced by iron chelators and small lipophilic antioxidants. Nonetheless, the prognostic significance of ferroptosis-related lncRNAs in PC remains to be explicated. Methods: We obtained the lncRNA expression matrix and clinicopathological information of PC patients from The Cancer Genome Atlas (TCGA) and the International Cancer Genome Consortium (ICGC) datasets in the current study. Pearson correlation analysis was conducted to delve into the ferroptosis-related lncRNAs, and univariate Cox analysis was implemented to examine the prognostic values in PC patients. The least absolute shrinkage and selection operator Cox (LASSO-Cox) analysis was performed to establish a ferroptosis-related lncRNA prognostic marker (Fe-LPM). Furthermore, we adopted a multivariate Cox regression to establish a nomogram. Gene set enrichment analysis (GSEA) and a competing endogenous RNA (ceRNA) network were also created.Results: The eight Fe-LPM (including SLC16A1-AS1, SETBP1-DT, ZNF93-AS1, SLC25A5-AS1, AC073896.2, LINC00242, PXN-AS1 and AC036176) was confirmed, and displayed a sturdy prognostic capability in the training and validation dataset. We established a nomogram based on risk score, age, pathological T stage and primary therapy outcome. GSEA revealed that several ferroptosis-related pathways are enriched in low-risk subgroups. A ceRNA network (including 4 lncRNAs, 27 miRNAs and 57 mRNAs) was also constructed to provide us some clues for finding the potential functions of these ferroptosis-related lncRNAs in PC.Conclusion: The eight Fe-LPM can be utilized for anticipating the overall survival (OS) of PC patients, which are meaningful to guiding clinical strategies of PC.