Affiliated Hospital of Shandong University of Chinese Medicine, Jinan, 250011, China.
Hunan University of Traditional Chinese Medicine, Changsha, 410208, Hunan, China.
J Cancer Res Clin Oncol. 2023 Dec;149(20):18119-18134. doi: 10.1007/s00432-023-05478-4. Epub 2023 Nov 25.
Pancreatic adenocarcinoma (PAAD) constitutes a lethal malignancy, notorious for its elevated mortality rates due to the difficulties in early diagnosis and rapid metastasis. The emerging paradigm of ferroptosis-an iron-catalyzed, regulated cell death distinguished by the accrual of lipid peroxides-has recently garnered scholarly focus. However, the expression landscape of ferroptosis-related genes (FRGs) in PAAD and their prognostic implications remain enigmatic.
We undertook a rigorous quantification of FRGs in PAAD samples, sourcing data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. These repositories also provided extensive metadata, encompassing mesenchymal stemness index (mRNAsi), genomic mutations, copy number variations (CNV), tumor mutational burden (TMB), and other clinical attributes. A predictive model was constructed utilizing Lasso regression analysis, and a co-expression study was executed to elucidate the complex interconnections between FRGs and other gene sets.
Intriguingly, FRGs were substantially upregulated in the high-risk cohort, even in the absence of clinically manifest symptoms, emphasizing their utility as prognostic biomarkers. Gene set enrichment analysis (GSEA) revealed significant enrichment of immune and tumor-related pathways in this high-risk demographic. Striking heterogeneities in immune function and N6-methyladenosine (m6A) RNA modification were observed between the low- and high-risk groups. Our analysis further implicated a cohort of genes-including LINC01559, C11orf86, SERPINB5, DSG3, MSLN, EREG, FAM83A, CXCL5, LY6D, and PSCA-as cardinal mediators in PAAD pathogenesis. A convergence of our predictive model with an analysis of CNVs, single nucleotide polymorphisms (SNPs), and drug sensitivities, revealed an intricate relationship with the FRGs.
Our findings accentuate the salient role of FRGs as critical modulators in the pathogenesis and progression of PAAD. Importantly, our composite prognostic framework offers invaluable insights into PAAD clinical trajectory. Moreover, the complex crosstalk between FRGs and immune cell landscapes in the tumor microenvironment (TME) may elucidate prospective therapeutic strategies. The clinical translational utility of these insights, however, requires further in-depth empirical exploration. Accordingly, the FRG signature introduces a compelling new avenue for risk stratification and targeted therapeutic interventions in this devastating malignancy.
胰腺导管腺癌(PAAD)构成了一种致命的恶性肿瘤,由于早期诊断困难和快速转移,其死亡率居高不下。铁死亡——一种由铁催化的、受调控的细胞死亡,其特征是脂质过氧化物的积累——这一新兴范式最近引起了学术界的关注。然而,PAAD 中与铁死亡相关的基因(FRGs)的表达图谱及其预后意义仍然是个谜。
我们对 PAAD 样本中的 FRGs 进行了严格的定量,数据来源于癌症基因组图谱(TCGA)和基因表达综合数据库(GEO)。这些数据库还提供了广泛的元数据,包括间充质干细胞指数(mRNAsi)、基因组突变、拷贝数变异(CNV)、肿瘤突变负荷(TMB)和其他临床特征。利用 Lasso 回归分析构建了预测模型,并进行了共表达研究,以阐明 FRGs 与其他基因集之间的复杂相互关系。
有趣的是,即使在没有临床症状的情况下,高风险队列中的 FRGs 也明显上调,这强调了它们作为预后生物标志物的效用。基因集富集分析(GSEA)显示,在这个高风险人群中,免疫和肿瘤相关途径显著富集。低风险和高风险组之间观察到免疫功能和 N6-甲基腺苷(m6A)RNA 修饰的显著异质性。我们的分析进一步表明,一组基因——包括 LINC01559、C11orf86、SERPINB5、DSG3、MSLN、EREG、FAM83A、CXCL5、LY6D 和 PSCA——作为 PAAD 发病机制中的关键介质。我们的预测模型与 CNV、单核苷酸多态性(SNP)和药物敏感性分析的融合,揭示了与 FRGs 之间的复杂关系。
我们的发现强调了 FRGs 作为 PAAD 发病机制和进展的关键调节剂的重要作用。重要的是,我们的综合预后框架为 PAAD 的临床轨迹提供了宝贵的见解。此外,FRGs 与肿瘤微环境(TME)中免疫细胞景观之间的复杂相互作用可能阐明了潜在的治疗策略。然而,这些见解的临床转化应用需要进一步深入的实证探索。因此,FRG 特征为这种毁灭性恶性肿瘤的风险分层和靶向治疗干预提供了一个引人注目的新途径。