Zhou Caifu, Li Haixia, Han Xiao, Pang Hongbing, Wu Manya, Tang Yanping, Luo Xiaoling
Research Department, Guangxi Medical University Cancer Hospital, Nanning, Guangxi Zhuang Autonomous Region, People's Republic of China.
School of Basic Medical Sciences, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, People's Republic of China.
J Invest Surg. 2022 Feb;35(2):330-346. doi: 10.1080/08941939.2020.1863527. Epub 2021 Feb 1.
Pancreatic cancer (PC) is an extremely malignant tumor with similar morbidity and mortality and lack of an effective treatment. This study explored the prognostic value and molecular mechanisms of proteasome 26S subunit, non-ATPase (PSMD) family genes in pancreatic ductal adenocarcinoma (PDAC). Survival analyses were performed to elucidate the relationship between prognosis and the level of PSMD expression. ROC curves and nomograms were constructed to predict the prognosis. A bioinformatics analysis was used to explore the co-expression and complex interaction networks of PSMDs. The potential mechanisms were further explored via gene set enrichment analysis (GSEA). We find high levels of PSMD6, PSMD9, PSMD11, and PSMD14 expression were significantly associated with a poorer OS. High PSMD6 and PSMD11 expression was associated with a poorer relapse-free survival (RFS). A risk score model was constructed based on prognosis-related genes. The area under ROC curves (AUC) was 53.3%, 59.3%, and 62.9% for 1-, 2-, 3 years, respectively. GSEA revealed that PSMD6 and PSMD11 play a role in PDAC through various biological processes and signaling pathways, including TP53, CDKN2A, MYC pathway, DNA repair, KRAS, cell cycle checkpoint, NIK, NF-κB signaling pathway, and proteasomes. This study demonstrated that PSMD6 and PSMD11 could serve as a potential prognostic and diagnostic biomarkers for patients with early-stage PDAC after pancreaticoduodenectomy.
胰腺癌(PC)是一种恶性程度极高的肿瘤,发病率和死亡率相近,且缺乏有效的治疗方法。本研究探讨了蛋白酶体26S亚基非ATP酶(PSMD)家族基因在胰腺导管腺癌(PDAC)中的预后价值和分子机制。进行生存分析以阐明预后与PSMD表达水平之间的关系。构建ROC曲线和列线图以预测预后。利用生物信息学分析探索PSMD的共表达和复杂相互作用网络。通过基因集富集分析(GSEA)进一步探索潜在机制。我们发现PSMD6、PSMD9、PSMD11和PSMD14的高表达与较差的总生存期显著相关。PSMD6和PSMD11的高表达与较差的无复发生存期(RFS)相关。基于预后相关基因构建了风险评分模型。1年、2年、3年的ROC曲线下面积(AUC)分别为53.3%、59.3%和62.9%。GSEA显示,PSMD6和PSMD11通过多种生物学过程和信号通路在PDAC中发挥作用,包括TP53、CDKN2A、MYC通路、DNA修复、KRAS、细胞周期检查点、NIK、NF-κB信号通路和蛋白酶体。本研究表明,PSMD6和PSMD11可作为胰十二指肠切除术后早期PDAC患者潜在的预后和诊断生物标志物。