Crosstalk of miRNAs with signaling networks in bladder cancer progression: Therapeutic, diagnostic and prognostic functions

Hashemi, Mehrdad; Arani, Hamid Zaferani; Orouei, Sima; Rostamnejad, Elmira; Ghorbani, Amin; Khaledabadi, Maryam; Kakavand, Amirabbas; Tavakolpournegari, Alireza; Saebfar, Hamidreza; Heidari, Hajar; Salimimoghadam, Shokooh; Taheriazam, Afshin; Entezari, Maliheh; Khan, Haroon

doi:10.1016/j.phrs.2022.106475

Cited by 15 publications

(5 citation statements)

References 290 publications

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“…BLCA is a common tumor of the urinary system, among which invasive BLCA has a poor prognosis and is associated with distant metastasis. Current studies have revealed that miRNA plays an important role in different cancers, including BLCA [13,14]. The dysregulation of miRNA is closely related to the prognosis of tumor metastasis.…”

Section: Discussionmentioning

confidence: 99%

Correlation between the immune microenvironment and bladder cancer based on a prognostic miRNA risk model

Mei,

Chen,

Huang

et al. 2024

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Background: Bladder cancer (BLCA), particularly invasive BLCA, has become a medical burden worldwide as it is associated with recurrence and easy metastasis. There are specific differences in the expression of various miRNAs in tumor and normal tissues. Hence, miRNAs can be used as biomarkers for tumor diagnosis and prognostic evaluation. The current study aimed to predict the downstream target genes of BLCA-related miRNAs and explore their association with immune infiltration. Method: Data on BLCA-related mRNA and miRNA expression levels were downloaded from The Cancer Genome Atlas. Correlation analysis and Cox regression analysis were performed to validate the miRNA risk model. The infiltration of various immune cells should be compared to determine the distinct differences between the immunological microenvironment of the two risk groups. Results: A predictive framework of BLCA was established using the expression levels of two miRNAs. Cox regression analysis showed that the low-risk group had a better prognosis. Then, the target genes of miRNA were predicted, and the target genes were analyzed using Gene Ontology and Kyoto Encyclopedia of Genes and Genomes. Moreover, variations in immune cells and functions between the high- and low-risk groups were assessed. Conclusion: The prognostic features composed of two associated miRNAs (MIR-25, MIR-548AN) may help predict the overall survival of BLCA.

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Section: Discussionmentioning

confidence: 99%

Correlation between the immune microenvironment and bladder cancer based on a prognostic miRNA risk model

Mei,

Chen,

Huang

et al. 2024

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“…In addition, unexplained symptoms of frequent urination, urgency, or irritating emptying should alert clinicians to the possibility of Bladder Cancer [7]. Bladder Cancer is invasive and non-invasive, with non-invasive having a reasonable risk and prognosis but muscle-aggressive having a poor prognosis [39].…”

Section: Bladder Cancermentioning

confidence: 99%

“…Finally, after adjusting the parameters, the efficiency model can be obtained to distinguish between the patients with Bladder Cancer and Cystitis. Sodium Numeric X 25 Specific Gravity Numeric X 26 Total Bilirubin Numeric X 27 Total Cholesterol Numeric X 28 Total Protein Numeric X 29 Triglyceride Numeric X 30 Uric acid Numeric X 31 Urine epitheilum (UL) Numeric X 32 Urine epithelium count Numeric X 33 Nitrite Boolean X 34 Strip WBC Numeric X 35 Urine Bilirubin Numeric X 36 Urine Glucose Numeric X 37 Urine Ketone Numeric X 38 Urine Protein Numeric X 39 Urobilinogen Numeric X 40 Urine occult Blood Numeric…”

Section: Research Processmentioning

confidence: 99%

Distinguishing Bladder Cancer from Cystitis Patients Using Deep Learning

Shih,

et al. 2023

Mathematics

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Urinary tract cancers are considered life-threatening conditions worldwide, and Bladder Cancer is one of the most malignant urinary tract tumors, with an estimated number of more than 1.3 million cases worldwide each year. Bladder Cancer is a heterogeneous disease; the main symptom is painless hematuria. However, patients with Bladder Cancer may initially be misdiagnosed as Cystitis or infection, and cystoscopy alone may sometimes be misdiagnosed as urolithiasis or Cystitis, thereby delaying medical attention. Early diagnosis of Bladder Cancer is the key to successful treatment. This study uses six deep learning methods through different oversampling techniques and feature selection, and then through dimensionality reduction techniques, to establish a set that can effectively distinguish between Bladder Cancer and Cystitis patient’s deep learning model. The research results show that based on the laboratory clinical dataset, the deep learning model proposed in this study has an accuracy rate of 89.03% in distinguishing between Bladder Cancer and Cystitis, surpassing the results of previous studies. The research model developed in this study can be provided to clinicians as a reference to differentiate between Bladder Cancer and Cystitis.

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“…miRNAs mainly combine the 3'UTR (3'UTR) -targeted mRNA's 3'UTR (3'UTR) in alkaline base to regulate the expression of genes, thereby regulating the expression of cancer genes or cancer suppressor genes, and then participate in various growth stages of the tumor. A number of studies have shown that miRNAs is widely distributed in various organs of the human body and participate in the process of tumor angiogenesis, invading metastasis, growth differentiation, and apoptosis of Bca [13][14][15]. The exosome is a diameter of 30 ~ 120 nm, and a membranous microvesicles with a lipid bilayer structure.…”

Section: Exosome-derived Mirnasmentioning

confidence: 99%

Recent Progress on Urinary Exosomal miRNAs in Bladder Cancer

Dong

Zhou

2023

ann urol oncol

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Bladder cancer (Bca) is one of the most common tumors in the urinary system. Cystoscopy biopsy is a gold standard for diagnosis of Bca in the clinic. However, cystoscopy biopsy is invasive, costly and invasive process causing pain in the patients. Because the Bca cells are closely in contact with urine, and the exosomes of the Bca can pass through the base membrane and transport the microRNA (miRNAs) to the urine, so the detection of the exosome-derived miRNAs in the urine is expected to be a new non-invasive method for diagnostics of Bca. Recently, liquid biopsy for miRNAs in urine is the recent research hotspot. In this review, we mainly introduce the feasibility of the application of the miRNAs from exosome to Bca, and its feasibility to detect Bca.

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Crosstalk of miRNAs with signaling networks in bladder cancer progression: Therapeutic, diagnostic and prognostic functions

Cited by 15 publications

References 290 publications

Correlation between the immune microenvironment and bladder cancer based on a prognostic miRNA risk model

Correlation between the immune microenvironment and bladder cancer based on a prognostic miRNA risk model

Distinguishing Bladder Cancer from Cystitis Patients Using Deep Learning

Recent Progress on Urinary Exosomal miRNAs in Bladder Cancer

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