An angiogenesis‑related lncRNA signature for the prognostic prediction of patients with bladder cancer and LINC02321 promotes bladder cancer progression via the VEGFA signaling pathway

Abstract

The mechanism underlying bladder cancer metastasis is associated with tumor angiogenesis. The present study aimed to evaluate the predictive role and value of an angiogenesis-associated long non-coding (lnc)rna signature in patients with bladder cancer and the role of long intergenic non-coding rna (linc)02321 in the progression of this malignancy. angiogenesis-related lncrnas were screened using Pearson correlation analysis and the signaturewas constructed using cox regression analysis and evaluated using the receiver operating characteristic curve. linc02321, which expressed the largest difference in bladder cancer, was screened using reverse transcription-quantitative Pcr. The role of linc02321 in the malignant progression of bladder cancer was evaluated using Transwell, wound healing and cell counting Kit 8 assays. a total of six angiogenesis-associated lncrnas (uSP30-aS1, linc02321, PSMB8-aS1, KrT7-aS, linc01767 and ociad1-aS1) were identified as candidates for the prognostic signature using Cox regression analysis. The overall survival of patients in the low-risk group was significantly longer compared with that in the high-risk group, with the highest area under the curve value being 0.807. a nomogram was constructed based on the traditional clinical indicators (age, sex, grade, american Joint committee on cancer stage) and risk score of patients. compared with the traditional clinical indicators, the risk score demonstrated better clinical prediction capacity for predicting the prognosis of patients with bladder cancer. The cancer Genome atlas prediction and rT-qPcr experimental results demonstrated that only linc02321 was highly expressed in bladder cancer tissue and promoted the proliferation, invasion, migration and cisplatin resistance of the malignancy. Gene set enrichment, Pearson's correlation analysis and experimental results demonstrated that the VeGFa signalling pathway may be involved in the linc02321-regulated progression of bladder cancer. in conclusion, the six angiogenesis-associated lncrna signatures reported in the present study may be used to predict the prognosis of patients with bladder cancer, and linc02321 promoted malignant progression of bladder cancer via the VeGFa signalling pathway.

Comprehensive analysis of Linc01436 for neoadjuvant chemotherapy response and its potential enriched pathways in breast cancer

“…The application of lncRNA expression-based lnc signatures in predicting NAC response or prognosis has been widely investigated in various studies. Li et al constructed an angiogenesis-associated lnc signature based on the expression of six angiogenesis-related lncRNAs to predict the prognosis of bladder cancer patients [50]. Mansy et al developed a lncRNAs signature "PVT1, TUG1, and MEG3" to predict cisplatin resistance in ovarian cancer patients [51].…”

T2DB: A Web Database for Long Non-Coding RNA Genes in Type II Diabetes

“…In this study, we have found that USP30-AS1 influences the activation of macrophage-like cells. Interestingly, USP30-AS1 has been implicated to be a potential prognostic risk factor for cancer and to play a role in cell death (e.g., apoptosis, autophagy, ferroptosis, and necroptosis) [ 105 , 106 , 107 , 108 , 109 , 110 , 111 , 112 , 113 , 114 , 115 , 116 , 117 , 118 , 119 , 120 , 121 , 122 , 123 , 124 ]. Furthermore, USP30-AS1 promotes cell viability and inhibits apoptosis in acute myeloid leukemia cell lines, including THP-1 [ 100 ].…”

An Overview of Angiogenesis in Bladder Cancer

“…TPRG1-AS1 inhibits the transcription of CRTAC1 by recruiting a DNA methyltransferase to the promoter of CRTAC1 and increasing the DNA methylation of its promoter. CRTAC1 inhibits glycolysis and angiogenesis in BC cells Kang et al [ 113 ] lncRNAs (USP30-AS1, LINC02321, PSMB8-AS1, KRT7-AS, LINC01767, and OCIAD1-AS1) Bioinformatics analysis BC RNA-sequencing and clinical data were downloaded from the TCGA database ( https://portal.gdc.cancer.gov/ . TCGA-BLCA) lncRNA expression data in BC from the TCGA database were assessed using scripts written using the “Perl” (version 5.32.1.1) programming language Six angiogenesis-associated lncRNA signatures reported in the study may be used to predict the prognosis of patients with BC, and LINC02321 promoted malignant progression of BC via the VEGFA signalling pathway PTEN , phosphatase and tensin homolog; FOXA1 , forkhead box A1; TFAP2A , transcription factor AP-2 alpha …”