Identification of a Nine Immune-Related lncRNA Signature as a Novel Diagnostic Biomarker for Hepatocellular Carcinoma

Abstract

Hepatocellular carcinoma (HCC) ranks fifth among common cancers and is the second most common cause of cancer-related mortality worldwide. This study is aimed at identifying an immune-related long noncoding RNA (lncRNA) signature as a potential biomarker with prognostic value to improve early diagnosis and provide potential therapeutic targets for HCC patients. The subjects of this study were HCC samples with complete transcriptome data and clinical information downloaded from The Cancer Genome Atlas (TCGA) database. We then extracted the immune-related mRNA and lncRNA expression profiles. Based on the expression profiles of immune-related lncRNAs, we identified a nine-lncRNA signature that was related to the progression of HCC. The risk score was calculated based on the expression level of the nine lncRNAs of each sample, which divided patients into high-risk and low-risk groups. We found that the increased risk score was associated with a poor prognosis of HCC patients. To assess the accuracy of the survival model, we calculated a receiver operating characteristic (ROC) for validation. The curve showed that the area under the curve (AUC) for the risk score was 0.792. Besides, both principal component analysis (PCA) and gene set enrichment analysis (GSEA) were further used for functional annotation. We found that the distribution patterns were different between the low-risk and high-risk groups in PCA, and the underlying mechanism by which the nine lncRNAs promoted the progression of HCC involved an abnormal immune status. Finally, we analyzed the infiltration of twenty-nine kinds of immune cells and the activation of immune function in HCC using the ssGSEA algorithm. The results showed that aDCs, iDCs, macrophages, Tfh, Th1, Treg, and NK cells were correlated with the progress of HCC patients. And the immune functions including APC costimulation, CCR, check point, HLA, MHC class I, and Type II IFN responses were also significantly different between the high-risk and low-risk groups. In conclusion, our study identified a nine-lncRNA signature with potential prognostic value for patients with HCC, which could be used as a new biomarker for the diagnosis and immunotherapy of HCC.

Identification of a Ferroptosis-Related LncRNA Signature as a Novel Prognosis Model for Lung Adenocarcinoma

“…First, the lncRNA and mRNA expression profiles were extracted separately from TCGA database. Then, the ferroptosis-related lncRNA profiles were excerpted from the ferroptosis-related genes based on the co-expression analysis ( 25 ). The ferroptosis-related lncRNAs was obtained through correlation analysis between the expression levels of the lncRNAs and ferroptosis-related genes, using Pearson correlation coefficients (coefficients > 0.40, P < 0.05).…”

Establishment of a 8 Immune-Related LncRNA Signature for Predicting the Prognosis of Soft Tissue Sarcoma

“…With the development of bioinformatics, more and more immune-related lncRNAs have been mined to construct tumor prognosis models. [13]. [14], [15].In this study, we constructed for the rst time a lncRNA model including 8 immune-related lncRNAs, and veri ed the accuracy of this model as a marker for the survival status of soft tissue sarcoma.…”

Construction of an immune-related lncRNA signature as a novel prognosis biomarker for LUAD

“…Current studies have shown the functional relevance of lncRNAs to tumor-infiltrating immune cell and immunity regulation in NSCLC [ 21 ]. Consequently, irlncRNAs could act as biomarkers for survival prognosis and be promising therapeutic targets for LUAD [ 22 ]. Further, other research have suggested that immune cell infiltration is closely correlated with prognosis.…”