MiRNAs in renal cell carcinoma

Poma, Jesus Miranda; Trilla-Fuertes, Lucía; López-Camacho, Elena; Zapater-Moros, Andrea; López-Vacas, Rocío; Lumbreras-Herrera, María Isabel; Pertejo-Fernandez, Ana; Vara, Juan Ángel Fresno; Espinosa-Arranz, Enrique; Gámez‐Pozo, Angelo; Pinto-Marín, Álvaro

doi:10.1007/s12094-022-02866-z

Cited by 5 publications

(4 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…miRNAs have been reported to elicit diverse cellular functions including the regulation of metastasis, invasiveness, angiogenesis, cell proliferation, and metabolism ( 65 ). From published in silico analyses, validated targets of the 14q32 miRNAs include those in the epithelial-mesenchymal transition (EMT) pathway, DNA damage response, and various growth factor signaling cascades ( 9 ).…”

Section: Discussionmentioning

confidence: 99%

Deregulated expression of the 14q32 miRNA cluster in clear cell renal cancer cells

et al. 2023

View full text Add to dashboard Cite

Clear cell renal cell carcinomas (ccRCC) are characterized by arm-wide chromosomal alterations. Loss at 14q is associated with disease aggressiveness in ccRCC, which responds poorly to chemotherapeutics. The 14q locus contains one of the largest miRNA clusters in the human genome; however, little is known about the contribution of these miRNAs to ccRCC pathogenesis. In this regard, we investigated the expression pattern of selected miRNAs at the 14q32 locus in TCGA kidney tumors and in ccRCC cell lines. We demonstrated that the miRNA cluster is downregulated in ccRCC (and cell lines) as well as in papillary kidney tumors relative to normal kidney tissues (and primary renal proximal tubule epithelial (RPTEC) cells). We demonstrated that agents modulating expression of DNMT1 (e.g., 5-Aza-deoxycytidine) could modulate 14q32 miRNA expression in ccRCC cell lines. Lysophosphatidic acid (LPA, a lysophospholipid mediator elevated in ccRCC) not only increased labile iron content but also modulated expression of a 14q32 miRNA. Through an overexpression approach targeting a subset of 14q32 miRNAs (specifically at subcluster A: miR-431-5p, miR-432-5p, miR-127-3p, and miR-433-3p) in 769-P cells, we uncovered changes in cellular viability and claudin-1, a tight junction marker. A global proteomic approach was implemented using these miRNA overexpressing cell lines which uncovered ATXN2 as a highly downregulated target. Collectively, these findings support a contribution of miRNAs at 14q32 in ccRCC pathogenesis.

show abstract

Section: Discussionmentioning

confidence: 99%

Deregulated expression of the 14q32 miRNA cluster in clear cell renal cancer cells

et al. 2023

View full text Add to dashboard Cite

show abstract

“…It has been demonstrated that miRNAs regulate gene expression posttranscriptionally [ 12 ]. miRNAs can affect tumor progression by regulating the expression of downstream m7G-related genes [ 13 , 14 ]. Based on this, we designed and constructed an m7G-related miRNA prognosis model.…”

Section: Methodsmentioning

confidence: 99%

Identification of m7G Methylation-Related miRNA Signature Associated with Survival and Immune Microenvironment Regulation in Uterine Corpus Endometrial Carcinoma

Chen

Sun

Hou

et al. 2022

BioMed Research International

View full text Add to dashboard Cite

Background. N7-methylguanosine (m7G) has been implicated in the development of cancer. The role of m7G-related miRNAs in the survival prediction of UCEC patients has not been investigated. Current research was the first to construct an m7G-related miRNA model to accurately predict the survival of patients with uterine corpus endometrial carcinoma (UCEC) and to explore immune cell infiltration and immune activity in the tumor microenvironment. Methods. RNA-seq data and clinical information of UCEC patients were derived from The Cancer Genome Atlas (TCGA) database. Using the TargetScan online database, we predicted miRNAs linked to the m7G-related genes and identified miRNAs which were significantly associated with the survival in UCEC patients and constructed a risk scoring model. The TCGA-UCEC cases were scored according to the risk model, and the high- and low-risk groups were divided by the median risk value. Gene enrichment analysis and immune cell infiltration and immune function analysis were performed using “clusterProfiler” and “GSVA” packages in R. Results. The survival prediction model consisted of 9 miRNAs, namely, hsa-miR-1301, hsa-miR-940, hsa-miR-592, hsa-miR-3170, hsa-miR-876, hsa-miR-215, hsa-miR-934, hsa-miR-3920, and hsa-miR-216b. Survival of UCEC patients in the high-risk group was worse than that in the low-risk group ( p < 0.001 ). The receiver operating characteristic (ROC) curve showed that the model had good predictive performance, and the area under the curve was 0.800, 0.690, and 0.705 for 1-, 3-, and 5-year survival predictions, respectively. There were differences in the degree of immune cell infiltration and immune activity between the low-risk and high-risk groups. The expression levels of the identified differentially expressed genes correlated with the susceptibility to multiple anticancer drugs. Conclusions. The survival prediction model constructed based on 9 m7G-related miRNAs had good predictive performance.

show abstract

“…The above four investigated circulating miRNAs have been reported to be of close relevance to the progression and metastasis of urinary tract tumors: let-7a, miR-155, and miR-223 are known to be upregulated in patients with prostate 39,40 and bladder cancer, 41,42 while miR-143 is often downregulated in renal cell carcinoma. 43 To validate the clinical values of those miRNAs, 36 clinical urine samples collected from 10 healthy volunteers, 12 patients diagnosed with renal cell carcinoma, 8 patients with bladder cancer, and 6 patients with prostate cancer (all identified within the recent two months) were selected for testing (Table S3). Due to the heterogeneous expression of miRNAs among healthy or cancerous cohorts, it is necessary to conduct the multivariate classification of cancer subgroups based on a comprehensive analysis of a few key miRNAs.…”

Section: Detection Of Mirnas In Urine Samplesmentioning

confidence: 99%

Smartphone-Based Fluorescent Profiling of Quaternary MicroRNAs in Urine for Rapid Diagnosis of Urological Cancers Using a Multiplexed Isothermal Exponential Amplification Reaction

Yao,

Liu,

et al. 2023

Anal. Chem.

View full text Add to dashboard Cite

Urological cancers such as bladder or prostate cancer represent one of the most malignant tumors that accounts for an extremely high mortality. However, conventionally standard diagnostics for urological cancers are hardly available in low-resource settings. We developed herein a hand-held fluorescent imaging platform by integrating a multiplexed isothermal exponential amplification reaction (EXPAR) with a microgel-enriched methodology for sensitive profiling of quaternary microRNAs (miRNAs) in urine and quick diagnosis of urological cancers at the early stage. The target miRNA mixtures in the urine underwent four parallel EXPARs without cross-reactivity, followed by surface concentration and hybridization by the encoded polyacrylamide microgels. This mixand-read strategy allowed for one-pot analysis of several key miRNAs simultaneously and provided 5-fold enhancement in fluorescent detection sensitivities compared to the individual EXPAR-based assays. Four urinary miRNAs ) could be quantitatively determined in a wide linear range from 50 fM to 30 nM, with the limits of detection at femtomolar levels. Using a smartphone-based imaging microreader, healthy and cancerous cohorts with prostate, bladder, and renal cell cancers could be discriminated in 30 min with the accuracy >83% using linear discriminant analysis. The developed detection platform has proven to be a portable, noninvasive, and useful complement to the toolbox for miRNA-based liquid biopsies, which holds immense potential and advantage for regular and large-scale applications in early cancer diagnosis.

show abstract

MiRNAs in renal cell carcinoma

Cited by 5 publications

References 50 publications

Deregulated expression of the 14q32 miRNA cluster in clear cell renal cancer cells

Deregulated expression of the 14q32 miRNA cluster in clear cell renal cancer cells

Identification of m7G Methylation-Related miRNA Signature Associated with Survival and Immune Microenvironment Regulation in Uterine Corpus Endometrial Carcinoma

Smartphone-Based Fluorescent Profiling of Quaternary MicroRNAs in Urine for Rapid Diagnosis of Urological Cancers Using a Multiplexed Isothermal Exponential Amplification Reaction

Contact Info

Product

Resources

About