Development of a 21-miRNA Signature Associated With the Prognosis of Patients With Bladder Cancer

Yin, Xiaohong; Jin, Yinghui; Cao, Yue; Wong, York; Weng, Hong; Sun, Chao; Deng, Junhao; Zeng, Xian‐Tao

doi:10.3389/fonc.2019.00729

Cited by 45 publications

(45 citation statements)

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“…The terminal differentiation induced ncRNA (TINCR), a target of miR-133a, was associated with shorter disease-free survival (DFS) and OS of HCC patients [71]. MiR-133a was also found to be associated with the prognosis of bladder cancer, as well as better survival and less resistance to treatment in prostate cancer [72,73]. The expression of miR-133a was negatively correlated with lymphatic metastasis, clinical stage and MMP-14, EGFR levels of NSCLC [74,75].…”

Section: Mir-133a In Cancer Prognosismentioning

confidence: 99%

Emerging roles of MiR-133a in human cancers

Hua¹,

Xu²,

Li³

et al. 2021

J. Cancer

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MicroRNAs (miRNAs) can post-transcriptionally regulate the expression of cancer-relevant genes via binding to the 3'-untranslated region (3'-UTR) of the target mRNAs. MiR-133a, as a miRNA, participate in tumorigenesis, progression, autophagy and drug-resistance in various malignancies. Based on the recent insights, we discuss the functions of miR-133a in physiological and pathological processes and its potential effects on cancer diagnosis, prognosis and therapy.

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Section: Mir-133a In Cancer Prognosismentioning

confidence: 99%

Emerging roles of MiR-133a in human cancers

Hua¹,

Xu²,

Li³

et al. 2021

J. Cancer

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“…The ROC curve analysis, C-index, calibration curves, and DCA con rmed the model's predictive power. Compared to models based on other sequencing data, the prognostic model constructed by immune-related lncRNAs presented better e cacy according to ROC curve method [23][24][25][26].…”

Section: Discussionmentioning

confidence: 99%

Development and verification of immune-related long non-coding RNA prognostic signature in bladder cancer

Lai¹,

Wu²,

Li³

et al. 2020

Preprint

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Background: Bladder cancer is the second most common malignant tumor in urogenital system. The research aimed to investigate the prognostic role of immune-related long non-coding RNA (lncRNA) in bladder cancer. Methods: We extracted 411 bladder cancer samples from The Cancer Genome Atlas database. Single-sample gene set enrichment analysis was employed to assess the immune cell infiltration of these samples. We recognized differentially expressed lncRNAs between tumors and paracancerous tissues, and differentially expressed lncRNAs between the high and low immune cell infiltration groups. Venn diagram analysis detected differentially expressed lncRNAs that intersected the above groups. LncRNAs with prognostic significance were identified by regression analysis and survival analysis. Multivariate Cox analysis was used to establish the risk score model. The nomogram was established and evaluated by receiver operating characteristic (ROC) curve analysis, concordance index (C-index) analysis, calibration chart, and decision curve analysis (DCA). Additionally, we performed gene set enrichment analysis to explore the potential functions of the screened lncRNAs in tumor pathogenesis.Results: Three hundred and twenty differentially expressed lncRNAs were recognized. We randomly divided patients into the training data set and the testing data set at a 2: 1 ratio. In the training data set, 9 immune-related lncRNAs with prognostic significance were identified. The risk score model was constructed to classify patients as high- and low-risk cohorts. Patients in the low-risk cohort had better survival outcomes than those in the high-risk cohort. The nomogram was established based on the indicators including age, gender, TNM stage, and risk score. The model’s predictive performance was confirmed by ROC curve analysis, C-index analysis, calibration chart, and DCA. The testing data set also achieved similar results. Bioinformatics analysis suggested that the 9-lncRNA signature was involved in modulation of various immune responses, antigen processing and presentation, and T cell receptor signaling pathway.Conclusions: The immune-related lncRNAs have the potential to predict the prognosis of bladder cancer and may play a key role in bladder cancer biology.Trial registration: It was a retrospective study and the gene expression data were obtained from the TCGA database. Trial registration was not needed.

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“…Therefore, the early diagnosis and prognostic prediction of patients with BLCA are important. Diverse models to predict the outcome of BLCA, including miRNA-based signatures [ 23 , 24 ], clinical character-based nomograms [ 25 ], and lncRNA-based models [ 26 ], have been reported. Accumulating evidence suggests that lncRNAs play a key role in the process of tumorigenesis, development and metastasis and show potential as novel biomarkers [ 11 , 27 ].…”

Section: Discussionmentioning

confidence: 99%