Identification of a Novel Glycolysis-Related LncRNA Signature for Predicting Overall Survival in Patients With Bladder Cancer

Zheng, Zhaoqiang; Lai, Cong; Li, Wenshuang; Zhang, Caixia; Ma, Kaiqun; Yao, Yousheng

doi:10.3389/fgene.2021.720421

Cited by 10 publications

(5 citation statements)

References 26 publications

(30 reference statements)

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“…Among them, Z98200.2, AC008750.1, AL139041.1, and ETV7-AS1 were shown to be protective of BC prognosis (Hazard ratio < 1 and Coef > 0), while MAFG-DT, LYPLAL1-AS1, AL031429.2, LINC02207, AL049775.1, AC099850.4, AL591806.1, and AC009292.1 were identified as risk factors for BC prognosis (Hazard ratio > 1 and Coef > 0, Additional file 6 ). We found that MAFG-DT expression was negatively connected with BC prognosis in our investigation, which was similar to the findings of Zheng Z et al [ 43 ]. The link between AC008750.1 and NK cells was studied by Sage et al, who revealed that the expression of AC008750.1 was elevated in activated NK cells, and antitumor capabilities of NK cells can be repressed when knocking down the expression of AC008750.1 [ 44 ].…”

Section: Discussionsupporting

confidence: 92%

A novel molecular subtypes and risk model based on inflammatory response-related lncrnas for bladder cancer

Tang

Zhang

et al. 2022

Hereditas

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Background Inflammation and long noncoding RNAs (lncRNAs) are gradually becoming important in the development of bladder cancer (BC). Nevertheless, the potential of inflammatory response-related lncRNAs (IRRlncRNAs) as a prognostic signature remains unexplored in BC. Methods The Cancer Genome Atlas (TCGA) provided RNA expression profiles and clinical information of BC samples, and GSEA Molecular Signatures database provided 1171 inflammation-related genes. IRRlncRNAs were identified using Pearson correlation analysis. After that, consensus clustering was performed to form molecular subtypes. After performing least absolute shrinkage and selection operator (LASSO) and multivariate Cox regression analyses, a risk model constructed based on the prognostic IRRlncRNAs was validated in an independent cohort. Kaplan–Meier (KM) analysis, univariate and multivariate Cox regression, clinical stratification analysis, and time-dependent receiver operating characteristic (ROC) curves were utilized to assess clinical effectiveness and accuracy of the risk model. In clusters and risk model, functional enrichment was investigated using GSEA and GSVA, and immune cell infiltration analysis was demonstrated by ESTIMATE and CIBERSORT analysis. Results A total of 174 prognostic IRRlncRNAs were confirmed, and 406 samples were divided into 2 clusters, with cluster 2 having a significantly inferior prognosis. Moreover, cluster 2 exhibited a higher ESTIMATE score, immune infiltration, and PD-L1 expression, with close relationships with the inflammatory response. Further, 12 IRRlncRNAs were identified and applied to construct the risk model and divide BC samples into low-risk and high-risk groups successfully. KM, ROC, and clinical stratification analysis demonstrated that the risk model performed well in predicting prognosis. The risk score was identified as an independently significant indicator, enriched in immune, cell cycle, and apoptosis-related pathways, and correlated with 9 immune cells. Conclusion We developed an inflammatory response-related subtypes and steady prognostic risk model based on 12 IRRlncRNAs, which was valuable for individual prognostic prediction and stratification and outfitted new insight into inflammatory response in BC.

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Section: Discussionsupporting

confidence: 92%

A novel molecular subtypes and risk model based on inflammatory response-related lncrnas for bladder cancer

Tang

Zhang

et al. 2022

Hereditas

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“…As ferroptosis-related lncRNAs, LINC01537 can be used as a prognostic predictor for lung adenocarcinoma (LUAD), with potential implications for the treatment of LUAD patients (Lu et al, 2021). AL589843.1 was shown to be a prognostic feature of bladder cancer (Zheng et al, 2021). AC099850.3 promotes the proliferation and invasion of HCC through the PRR11/PI3K/AKT axis and is associated with patient prognosis (Wu et al, 2021).…”

Section: Discussionmentioning

confidence: 99%

Prognosis and immune response of a cuproptosis-related lncRNA signature in low grade glioma

Xu¹,

Wang²,

Li³

et al. 2022

Front. Genet.

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Cuproptosis is a newly discovered new mechanism of programmed cell death, and its unique pathway to regulate cell death is thought to have a unique role in understanding cancer progression and guiding cancer therapy. However, this regulation has not been studied in low grade glioma (LGG) at present. In this study, data on low grade glioma patients were downloaded from the TCGA database. We screened the genes related to cuproptosis from the published papers and confirmed the lncRNAs related to them. We applied univariate/multivariate, and LASSO regression algorithms, finally identified 11 lncRNAs for constructing prognosis prediction models, and constructed a risk scoring model. The reliability and validity test of the model indicated that the model could well distinguish the prognosis and survival of LGG patients. Furthermore, the analyses of immunotherapy, immune microenvironment, as well as functional enrichment were also performed. Finally, we verified the expression of these six prognostic key lncRNAs using real-time polymerase chain reaction (RT-PCR). In conclusion, this study is the first analysis based on cuproptosis-related lncRNAs in LGG and aims to open up new directions for LGG therapy.

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“…In another two prognosis-related signatures of BCa, AC105942.1 was also revealed to be a part of the signatures, but the specific mechanism of action of AC105942.1 in cancer is still unclear 41 , 42 . A similar conclusion was also found for MAFG-DT 42 – 44 and NR2F1-AS1 45 , 46 .…”

Section: Discussionmentioning

confidence: 99%

Comprehensive analysis of autophagy related long non-coding RNAs in prognosis, immunity, and treatment of muscular invasive bladder cancer

Tan

Yuan

Huang

et al. 2022

Sci Rep

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To predict disease outcome in muscle-invasive bladder cancer (MIBC), we constructed a prognostic autophagy-related (PAR) lncRNA signature. Comprehensive bioinformatics analyses were performed using data from TCGA and GTEx databases. Univariate Cox, and least absolute shrinkage and selection operator regression analyses were also performed, based on differentially expressed genes, to identify PAR-related lncRNAs to establish the signature. Furthermore, the Kaplan–Meier OS curve and receiver operating characteristic curve analyses were performed and a nomogram was constructed, all of which together confirmed the strong predictive ability of the constructed signature. Patients with MIBC were then divided into high- and low-risk groups. Gene enrichment and immune infiltration analyses revealed the potential mechanisms in MIBC. We also further evaluated the signature of molecules related to immune checkpoints and the sensitivity toward chemotherapeutic agents and antitumor-targeted drugs to find better treatment prescriptions. We identified a number of PAR-related lncRNA signatures, including HCP5, AC024060.1, NEAT1, AC105942.1, XIST, MAFG-DT, and NR2F1-AS1, which could be valuable prognostic tools to develop more efficient, individualized drug therapies for MIBC patients.

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Identification of a Novel Glycolysis-Related LncRNA Signature for Predicting Overall Survival in Patients With Bladder Cancer

Cited by 10 publications

References 26 publications

A novel molecular subtypes and risk model based on inflammatory response-related lncrnas for bladder cancer

A novel molecular subtypes and risk model based on inflammatory response-related lncrnas for bladder cancer

Prognosis and immune response of a cuproptosis-related lncRNA signature in low grade glioma

Comprehensive analysis of autophagy related long non-coding RNAs in prognosis, immunity, and treatment of muscular invasive bladder cancer

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