Wang Yu, Wang Zhen, Li KaiQiang, Xiang WeiLing, Chen BinYu, Jin LiQin, Hao Ke
Laboratory Medicine Center, Allergy Center, Department of Transfusion Medicine, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, Zhejiang, China.
School of Laboratory Medicine and Life Science, Wenzhou Medical University, Wenzhou, Zhejiang, China.
Front Genet. 2022 Jul 11;13:874667. doi: 10.3389/fgene.2022.874667. eCollection 2022.
Pancreatic adenocarcinoma (PAAD) is one of the most common malignant tumors with poor prognosis worldwide. Mounting evidence suggests that the expression of lncRNAs and the infiltration of immune cells have prognostic value for patients with PAAD. We used Gene Expression Omnibus (GEO) database and identified six genes (COL1A2, ITGA2, ITGB6, LAMA3, LAMB3, and LAMC2) that could affect the survival rate of pancreatic adenocarcinoma patients. Based on a series of analyses for reverse prediction of target genes associated with the prognosis of PAAD, a ceRNA network of mRNA (COL1A2, ITGA2, LAMA3, LAMB3, and LAMC2)-microRNA (miR-15a-5p)-long non-coding RNA (LINC00511, LINC01578, PVT1, and TNFRSF14-AS1) was constructed. We used the algorithm "CIBERSORT" to assess the proportion of immune cells and found three overall survival (OS)-associated immune cells (monocytes, M1 macrophages, and resting mast cell). Moreover, the OS-associated gene level was significantly positively associated with immune checkpoint expression and biomarkers of immune cells. In summary, our results clarified that ncRNA-mediated upregulation of OS-associated genes and tumor-infiltration immune cells (monocytes, M1 macrophages M1, and resting mast cell resting) correlated with poor prognosis in PAAD.
胰腺腺癌(PAAD)是全球范围内最常见且预后较差的恶性肿瘤之一。越来越多的证据表明,lncRNAs的表达和免疫细胞浸润对PAAD患者具有预后价值。我们使用基因表达综合数据库(GEO),鉴定出六个可影响胰腺腺癌患者生存率的基因(COL1A2、ITGA2、ITGB6、LAMA3、LAMB3和LAMC2)。基于一系列对与PAAD预后相关的靶基因进行反向预测的分析,构建了一个由mRNA(COL1A2、ITGA2、LAMA3、LAMB3和LAMC2)-微小RNA(miR-15a-5p)-长链非编码RNA(LINC00511、LINC01578、PVT1和TNFRSF14-AS1)组成的ceRNA网络。我们使用“CIBERSORT”算法评估免疫细胞比例,发现三种与总生存期(OS)相关的免疫细胞(单核细胞、M1巨噬细胞和静息肥大细胞)。此外,与OS相关的基因水平与免疫检查点表达及免疫细胞生物标志物显著正相关。总之,我们的结果表明,ncRNA介导的与OS相关基因的上调以及肿瘤浸润免疫细胞(单核细胞、M1巨噬细胞和静息肥大细胞)与PAAD的不良预后相关。