Diagnostic significance of miRNAs as potential biomarkers for human renal cell carcinoma: a systematic review and meta-analysis

Gu, Yiwei; Yuan, Jiuhong

doi:10.1080/14737140.2022.2051483

Cited by 5 publications

(2 citation statements)

References 39 publications

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“… Zhao et al (2021) constructed a prognostic model of necroptosis-related lncRNAs that may predict prognosis and help differentiate between hot and cold tumors, guiding individualized treatment of gastric cancer. Gu & Yuan (2022) found that miRNAs played an important role in the production and development of ccRCC and were potential biomarkers. Jiang, Chen & Chen (2020) constructed a seven-gene signature for predicting overall survival in patients with ccRCC.…”

Section: Discussionmentioning

confidence: 99%

Identification and validation of prognostic and tumor microenvironment characteristics of necroptosis index and BIRC3 in clear cell renal cell carcinoma

Wei,

Zhang,

Yang

2023

PeerJ

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Background Necroptosis is a form of programmed cell death; it has an important role in tumorigenesis and metastasis. However, details of the regulation and function of necroptosis in clear cell renal cell carcinoma (ccRCC) remain unclear. It is necessary to explore the significance of necroptosis in ccRCC. Methods Necroptosis-related clusters were discerned through the application of Consensus Clustering. Based on the TCGA and GEO databases, we identified prognostic necroptosis-related genes (NRGs) with univariate COX regression analysis. The necroptosis-related model was constructed through the utilization of LASSO regression analysis, and the immune properties, tumor mutation burden, and immunotherapy characteristics of the model were assessed using multiple algorithms and datasets. Furthermore, we conducted comprehensive GO, KEGG, and GSVA analyses to probe into the functional aspects of biological pathways. To explore the expression and of hub gene (BIRC3) in different ccRCC cell types and cell lines, single-cell sequencing data was analysed and we performed Quantitative Real-time PCR to detect the expression of BIRC3 in ccRCC cell lines. Function of BIRC3 in ccRCC was assessed through Cell Counting Kit-8 (CCK8) assay (for proliferation), transwell and wound healing assays (for migration and invasion). Results Distinct necroptosis-related clusters exhibiting varying prognostic implications, and enrichment pathways were identified in ccRCC. A robust necroptosis-related model formulated based on the expression of six prognostic NRGs, presented substantial predictive capabilities of overall survival and was shown to be related with patients’ immune profiles, tumor mutation burden, and response to immunotherapy. Notably, the hub gene BIRC3 was markedly upregulated in both ccRCC tissues and cell lines, and showed significant correlations with immunosuppressive cells, immune checkpoints, and oncogenic pathways. Downregulation of BIRC3 demonstrated a negative regulatory effect on ccRCC cell proliferation migration and invasion. Conclusion The necroptosis-related model assumed a pivotal role in determining the prognosis, tumor mutation burden, immunotherapy response, and immune cell infiltration characteristics among ccRCC patients. BIRC3 exhibited significant correlations with the immunosuppressive microenvironment, which highlighted its potential for informing the design of innovative immunotherapies for ccRCC patients.

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Section: Discussionmentioning

confidence: 99%

Identification and validation of prognostic and tumor microenvironment characteristics of necroptosis index and BIRC3 in clear cell renal cell carcinoma

Wei,

Zhang,

Yang

2023

PeerJ

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“…Although miRNA can be stably expressed in blood or urine, the free miRNA in the body is mainly released after cellular apoptosis or necrosis. When exposed to blood or urine for a long time, it can still be degraded by endogenous RNAse, with the losses of sensitivity and speci city [34]. Extracellular vesicles possess the characteristic of a lipid bilayer, which enable them to ensure the integrity and functionality of transporting bioactive molecules during information transfer.…”

Section: Evidence Synthesismentioning

confidence: 99%

Meta-analysis of the Diagnostic Value of exosomal microRNA in Renal Cell Carcinoma

Qingru,

Jing,

Binyi

2023

Preprint

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Aim This study aims to evaluate the feasibility of using extracellular vesicle-derived miRNA as a biomarker for the diagnosis of renal cell carcinoma through meta-analysis. Methods Clinical studies on the diagnosis of renal cell carcinoma using extracellular vesicle-derived miRNA were retrieved from various databases including PubMed, Web of Science, Cochrane Library, Embase ,CNKI, Wanfang Database, VIP Database and SinoMed. After screening and extracting relevant data, the included articles’ quality were assessed with QUADAS-2 tool. Meta-disc 1.4 software was used to analyze the heterogeneity of threshold/non-threshold effects in the included literature, and use Stata MP 16.0 to calculate sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, area under the curve, diagnostic odds ratio and publication bias. Results A total of 11 articles were included. Results showed that the Spearman correlation coefficient was 0.319 (P = 0.075 > 0.05), indicating no threshold effect. The pooled sensitivity was 0.73 (95%CI: 0.68–0.78), pooled specificity was 0.81 (95%CI: 0.76–0.85), pooled positive likelihood ratio was 3.80 (95%CI: 3.02–4.77), pooled negative likelihood ratio was 0.33 (95%CI: 0.28–0.40), and the diagnostic odds ratio was 11.48 (95%CI: 8.27–15.95). The area under the curve was 0.84 (95%CI: 0.80–0.87). There was no publication bias detected in this study. Conclusion The expression levels of extracellular vesicle miRNAs hold an important value in the diagnosis of renal cell carcinoma. However, due to the limited number of included studies and heterogeneity among them, further clinical research is necessary.

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Identification of disulfidptosis-related subtypes and development of a prognosis model based on stacking framework in renal clear cell carcinoma

Peng,

Wang,

Liu

et al. 2023

J Cancer Res Clin Oncol

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Diagnostic significance of miRNAs as potential biomarkers for human renal cell carcinoma: a systematic review and meta-analysis

Cited by 5 publications

References 39 publications

Identification and validation of prognostic and tumor microenvironment characteristics of necroptosis index and BIRC3 in clear cell renal cell carcinoma

Identification and validation of prognostic and tumor microenvironment characteristics of necroptosis index and BIRC3 in clear cell renal cell carcinoma

Meta-analysis of the Diagnostic Value of exosomal microRNA in Renal Cell Carcinoma

Identification of disulfidptosis-related subtypes and development of a prognosis model based on stacking framework in renal clear cell carcinoma

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