Impact of Long Non-coding RNAs Associated With Microenvironment on Survival for Bladder Cancer Patients

Lin, Gaoteng; Guo, Baoyin; Wei, Yulei; Lan, Tianjie; Wen, Simeng; Li, Gang

doi:10.3389/fgene.2020.567200

Cited by 6 publications

(3 citation statements)

References 40 publications

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“…In our risk model, we identified a signature of six IClncRNAs associated with OS that was constructed by multivariate regression analysis. Researchers previously found that LINC00892 is associated with the tumour microenvironment and immunotherapy response in bladder cancer 46 . These results are consistent with ours.…”

Section: Discussionmentioning

confidence: 99%

Evaluating the utility of an immune checkpoint-related lncRNA signature for identifying the prognosis and immunotherapy response of lung adenocarcinoma

Zhang

Liu

Yang

et al. 2022

Sci Rep

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Lung adenocarcinoma (LUAD) is the most frequent subtype of lung cancer globally. However, the survival rate of lung adenocarcinoma patients remains low. Immune checkpoints and long noncoding RNAs are emerging as vital tools for predicting the immunotherapeutic response and outcomes of patients with lung adenocarcinoma. It is critical to identify lncRNAs associated with immune checkpoints in lung adenocarcinoma patients. In this study, immune checkpoint-related lncRNAs (IClncRNAs) were analysed and identified by coexpression. Based on the immune checkpoint-related lncRNAs, we divided patients with lung adenocarcinoma into two clusters and constructed a risk model. Kaplan–Meier analysis, Gene Set Enrichment Analysis, and nomogram analysis of the 2 clusters and the risk model were performed. Finally, the potential immunotherapeutic prediction value of this model was discussed. The risk model consisting of 6 immune checkpoint-related lncRNAs was an independent predictor of survival. Through regrouping the patients with this model, we can distinguish between them more effectively in terms of their immunotherapeutic response, tumour microenvironment, and chemotherapy response. This risk model based on immune checkpoint-based lncRNAs may have an excellent clinical value for predicting the immunotherapeutic response and outcomes of patients with LUAD.

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Section: Discussionmentioning

confidence: 99%

Evaluating the utility of an immune checkpoint-related lncRNA signature for identifying the prognosis and immunotherapy response of lung adenocarcinoma

Zhang

Liu

Yang

et al. 2022

Sci Rep

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“…Similarly, Feng et al ( 42 ) found linc00243 expression is significantly correlated to the prognosis and survival time of non-small cell lung cancer patients. Linc00892 is related to the microenvironment for bladder cancer patients, and is regarded as an important biomarker for bladder cancer metastasis and progression ( 43 ). Additionally, Linc00892 is related to some types of cancer, such as endometrial cancer ( 44 , 45 ), lung adenocarcinoma ( 46 ), and colorectal cancer ( 47 ), and is a novel biomarker for the prognosis and diagnosis of tumors.…”

Section: Discussionmentioning

confidence: 99%

Screening and verification of prognostic lncRNA markers related to immune infiltration in the metastasis of osteosarcoma

He¹,

Wang²,

Ni³

et al. 2022

Transl Cancer Res TCR

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Background: We sought to screen and verify the long non-coding ribonucleic acids (lncRNAs) related to immune infiltration in metastatic osteosarcoma (OS). Methods:We downloaded the RNA-sequencing expression data from The Cancer Genome Atlas (TCGA) database as the training data set. We downloaded the GSE39055 data set from the National Center for Biotechnology Information, Gene Expression Omnibus as the validation data set. The least absolute shrinkage and selection operator (LASSO) regression algorithm was used to screen the optimized lncRNA combinations. Kaplan-Meier curves were used to evaluate the associations between the lncRNAs and actual prognosis. The independent survival prognosis clinical factors were obtained by univariate and multivariate Cox analyses. A nomogram was established to explore the correlation between survival rate and risk information. The Tumor IMmune Estimation Resource was applied to estimate the composition of 6 subtypes of immune infiltration cells.Results: In total, 1,398 lncRNAs and 14,631 messenger RNAs were screened from TCGA data set, and divided into the low and high immunity groups. The Estimation of STromal and Immune cells in MAlignant Tumour tissues using Expression data (ESTIMATE) scores differed significantly between the samples in the two groups. Additionally, 5 optimized lncRNA combinations were obtained using the LASSO algorithm.Risk factors including age, metastatic tumor, and risk-score (RS) were related to the prognosis of OS patients. The survival rates predicted by the nomogram model were consistent with the actual survival rates of OS patients. Finally, we found that RS was negatively correlated with the proportion of immune cells.Conclusions: In total, 5 feature lncRNAs were identified as novel biomarkers for OS. Next, a RS nomogram model was constructed based on the 5 identified lncRNAs. This model predicted the survival rates and prognoses of OS patients well.

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“…The majority of the human genome is noncoding RNAs (ncRNAs), which are involved in the regulation of gene expression through post-transcriptional levels and epigenetic modalities. Recently, numerous studies focused on ncRNAs, including long noncoding RNAs (lncRNAs) [12], microRNAs (miRNAs) [13], and circular RNAs (circRNAs) [14], as important contributors to the pathophysiological changes in bladder cancer, could be beneficial in that regard [15]. Transfer RNAs (tRNAs), which serve as a connector molecule involved in decoding messenger RNAs (mRNAs) and translating proteins, were the first group of ncRNAs to be characterized [16].…”

Section: Introductionmentioning

confidence: 99%

Differential Expression Profiles and Bioinformatics Analysis of tRNA-Derived Small RNAs in Muscle-Invasive Bladder Cancer in a Chinese Population

Qin

Chen

Cao

et al. 2022

Genes

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Muscle-invasive bladder cancer (MIBC) leads to a large societal burden. Recently, tRNA-derived small RNAs (tsRNAs), a novel type of noncoding RNA (ncRNAs), have been identified. However, the expression patterns and functions of tsRNAs in MIBC have not yet been identified. Here, RNA sequencing, bioinformatics, and quantitative reverse transcription- polymerase chain reaction (qRT-PCR) were used to screen the expression profiles and predict the potential roles of tsRNAs in MIBC. Of 406 tsRNAs differentially expressed in MIBC tissues, 91 tsRNAs were significantly differentially expressed. Then, four candidate tsRNAs, tiRNA-1:34-Val-CAC-2, tiRNA-1:33-Gly-GCC-1, tRF-1:32-Gly-GCC-1, and tRF-+1:T20-Ser-TGA-1, were selected. Next, a bioinformatics analysis showed the potential target genes and tsRNA–mRNA network. The most significant and meaningful terms of gene ontology were the positive regulation of the phosphate metabolic process, lamellipodium, and protein-cysteine S-acyltransferase activity in the biological process, cellular component, and molecular function, respectively. In addition, the top four pathways were predicted by the Kyoto Encyclopedia of Genes and Genomes database (KEGG). Finally, qRT-PCR demonstrated a similar expression pattern compared to sequencing data for the candidate tsRNAs. In short, we find differential expression profiles and predict that tiRNA-1:33-Gly-GCC-1, tRF-1:32-Gly-GCC-1, and tRF-+1:T20-Ser-TGA-1 are very likely to engage in the pathophysiological process of MIBC via regulating the target genes in the key pathways.

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Impact of Long Non-coding RNAs Associated With Microenvironment on Survival for Bladder Cancer Patients

Cited by 6 publications

References 40 publications

Evaluating the utility of an immune checkpoint-related lncRNA signature for identifying the prognosis and immunotherapy response of lung adenocarcinoma

Evaluating the utility of an immune checkpoint-related lncRNA signature for identifying the prognosis and immunotherapy response of lung adenocarcinoma

Screening and verification of prognostic lncRNA markers related to immune infiltration in the metastasis of osteosarcoma

Differential Expression Profiles and Bioinformatics Analysis of tRNA-Derived Small RNAs in Muscle-Invasive Bladder Cancer in a Chinese Population

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