Construction of a Novel Immune-Related lncRNA Pair Signature with Prognostic Significance for Kidney Clear Cell Renal Cell Carcinoma

• Published in: Disease markers Vol. 2021; pp. 1 - 17
• Main Authors: Sun, Jian-Xuan, Xia, Qi-Dong, Liu, Chen-Qian, Xu, Jin-Zhou, Xun, Yang, Lu, Jun-Lin, Hu, Jia, Wang, Shao-Gang
• Format: Journal Article
• Language: English
• Published: United States Hindawi 2021; John Wiley & Sons, Inc
• Subjects: Aged; Apoptosis; Biomarkers; Biomarkers, Tumor - genetics; Cancer; Cancer therapies; Carcinoma, Renal Cell - genetics; Carcinoma, Renal Cell - immunology; Carcinoma, Renal Cell - pathology; Chemotherapy; Clear cell-type renal cell carcinoma; Female; Follow-Up Studies; Gene expression; Gene Expression Regulation, Neoplastic; Genes; Genomes; Humans; Immune system; Immunotherapy; Kidney cancer; Kidney Neoplasms - genetics; Kidney Neoplasms - immunology; Kidney Neoplasms - pathology; Lymphocytes, Tumor-Infiltrating - immunology; Male; Medical prognosis; Metastasis; Microenvironments; Middle Aged; Model testing; Patients; Prognosis; Proteins; Regression analysis; Ribonucleic acid; Risk; Risk groups; RNA; RNA, Long Noncoding - genetics; Statistical models; Subgroups; Survival; Survival analysis; Survival Rate; Transcriptome; Transcriptomes; Tumor Microenvironment; Tumors; United States > US
• DOI: 10.1155/2021/8800358
• ISSN: 0278-0240; 1875-8630

Background. Renal cell carcinoma (RCC) is one of the most common aggressive malignant tumors in the urinary system, among which the clear cell renal cell carcinoma (ccRCC) is the most common subtype. The immune-related long noncoding ribonucleic acids (irlncRNAs) which are abundant in immune cells and immune microenvironment (IME) have potential significance in evaluating the prognosis and effects of immunotherapy. The signature based on irlncRNA pairs and independent of the exact expression level seems to have a latent predictive significance for the prognosis of patients with malignant tumors but has not been applied in ccRCC yet. Method. In this article, we retrieved The Cancer Genome Atlas (TCGA) database for the transcriptome profiling data of the ccRCC and performed coexpression analysis between known immune-related genes (ir-genes) and lncRNAs to find differently expressed irlncRNA (DEirlncRNA). Then, we adopted a single-factor test and a modified LASSO regression analysis to screen out ideal DEirlncRNAs and constructed a Cox proportional hazard model. We have sifted 28 DEirlncRNA pairs, 12 of which were included in this model. Next, we compared the area under the curve (AUC), found the cutoff point by using the Akaike information criterion (AIC) value, and distinguished the patients with ccRCC into a high-risk group and a low-risk group using this value. Finally, we tested this model by investigating the relationship between risk score and survival, clinical pathological characteristics, cells in tumor immune microenvironment, chemotherapy, and targeted checkpoint biomarkers. Results. A novel immune-related lncRNA pair signature consisting of 12 DEirlncRNA pairs was successfully constructed and tightly associated with overall survival, clinical pathological characteristics, cells in tumor immune microenvironment, and reactiveness to immunotherapy and chemotherapy in patients with ccRCC. Besides, the efficacy of this signature was verified in some commonly used clinicopathological subgroups and could serve as an independent prognostic factor in patients with ccRCC. Conclusions. This signature was proven to have a potential predictive significance for the prognosis of patients with ccRCC and the efficacy of immunotherapy.