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 cell death pattern, can be induced by iron chelators and small lipophilic antioxidants. Nonetheless, the prognostic significance of ferroptosis-related lncRNAs in PC remains to be clarified. 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. Firstly, we conducted Pearson correlation analysis to delve into the ferroptosis-related lncRNAs, and univariate Cox analysis was implemented to examine the prognostic values in PC patients. Twenty-three prognostic ferroptosis-related lncRNAs were confirmed and loaded into the least absolute shrinkage and selection operator Cox (LASSO-Cox) analysis, then a ferroptosis-related lncRNA prognostic marker (Fe-LPM) was established in the TCGA dataset. Risk scores of patients were calculated and segregated PC patients into low-risk and high-risk subgroups in each dataset. The prognostic capability of Fe-LPM was also confirmed in the ICGC dataset. Gene set enrichment analysis (GSEA) revealed that several ferroptosis-related pathways were enriched in low-risk subgroups. Furthermore, we adopted a multivariate Cox regression to establish a nomogram based on risk score, age, pathological T stage and primary therapy outcome. A competing endogenous RNA (ceRNA) network was also created relied on four of the twenty-three ferroptosis-related lncRNAs. In conclusion, the eight Fe-LPM can be utilized to anticipate the overall survival (OS) of PC patients, which are meaningful to guiding clinical strategies in PC.

胰腺癌 (PC) 是最致命的恶性肿瘤之一，其死亡率和发病率在过去十年中一直在增加。铁死亡是一种新发现的铁依赖性细胞死亡模式，可以由铁螯合剂和小的亲脂性抗氧化剂诱导。尽管如此，铁死亡相关lncRNA在PC中的预后意义仍有待阐明。我们从当前研究中的癌症基因组图谱（TCGA）和国际癌症基因组联盟（ICGC）数据集中获得了 PC 患者的 lncRNA 表达矩阵和临床病理学信息。首先，我们进行了 Pearson 相关分析以深入研究与铁死亡相关的 lncRNA，并实施单变量 Cox 分析来检查 PC 患者的预后价值。23 个预后铁死亡相关的 lncRNA 被确认并加载到最小绝对收缩和选择算子 Cox (LASSO-Cox) 分析中，然后在 TCGA 数据集中建立了一个与铁死亡相关的 lncRNA 预后标记 (Fe-LPM)。计算患者的风险评分并将 PC 患者分为每个数据集中的低风险和高风险亚组。Fe-LPM 的预后能力也在 ICGC 数据集中得到证实。基因集富集分析 (GSEA) 显示，几种与铁死亡相关的途径在低风险亚组中富集。此外，我们采用多变量 Cox 回归来建立基于风险评分、年龄、病理 T 分期和主要治疗结果的列线图。还创建了一个竞争性内源性 RNA (ceRNA) 网络，依赖于 23 个与铁死亡相关的 lncRNA 中的四个。