Bioinformatics profiling utilized a nine immune‐related long noncoding RNA signature as a prognostic target for pancreatic cancer

作者：Chunmi Wei, Qingyu Liang, Xue Li, Hongyu Li, Yi Liu, Xiangming Huang, Xiujie Chen, Yongxin Guo, Jianjun Li · 发表于：Journal of Cellular Biochemistry · 年份：2019 · DOI：10.1002/jcb.28754 · 被引用次数：134 · 研究领域：Cancer-related molecular mechanisms research、Ferroptosis and cancer prognosis、Pancreatic and Hepatic Oncology Research

PURPOSE: To identify an immune-related long noncoding RNA (lncRNA) signature with potential prognostic value for patients with pancreatic cancer. METHODS: Pancreatic cancer samples with available clinical information and whole genomic mRNA expression data obtained from The Cancer Genome Atlas (TCGA) were enrolled in our research. The immune score of each sample was calculated according to the expression level of immune-related genes and used to identify the most promising immune-related lncRNAs. According to the risk score developed from screened immune-related lncRNAs, the high- and low-risk groups were separated on the basis of the median risk score. The prediction reliability was further evaluated in the validation set and combination set. Both gene set enrichment analysis (GSEA) and principal component analysis (PCA) were performed for functional annotation, and the microenvironment cell population record was applied to evaluate the immune composition and purity of the tumor. RESULTS: A cohort of 176 samples was included in this study. A total of 163 immune-related lncRNAs were collected according to Pearson correlation analyses between immune score and lncRNA expression |R| > 0.5, P < 0.01). Nine immune-related lncRNAs (AL138966.2, AL133520.1, AC142472.1, AC127024.5, AC116913.1, AC083880.1, AC124016.1, AC008443.5, and AC092171.5) with the most significant prognostic values (P < 0.01) were identified. In the training set, it was observed that patients in the low-risk grou...