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Keywords = genitourinary transcriptomics

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24 pages, 1381 KB  
Review
Current Role and Future Frontiers of Spatial Transcriptomics in Genitourinary Cancers
by Firas Hatoum, Adnan Fazili, Justin W. Miller, Xuefeng Wang, Xiaoqing Yu, Xin Lu, Jeffrey S. Johnson, Philippe E. Spiess and Jad Chahoud
Cancers 2025, 17(17), 2774; https://doi.org/10.3390/cancers17172774 - 26 Aug 2025
Cited by 1 | Viewed by 3315
Abstract
Malignant genitourinary tumors have demonstrated a rising incidence and are characterized by significant morbidity and mortality. Advances in sequencing technologies have greatly enhanced our understanding of the genetic and molecular mechanisms that drive tumor biology. In recent years, spatial transcriptomics technologies have rapidly [...] Read more.
Malignant genitourinary tumors have demonstrated a rising incidence and are characterized by significant morbidity and mortality. Advances in sequencing technologies have greatly enhanced our understanding of the genetic and molecular mechanisms that drive tumor biology. In recent years, spatial transcriptomics technologies have rapidly evolved, enabling precise quantification and visualization of gene expression within the spatial context of tissues. Unlike conventional transcriptomics, which focuses on gene expression levels, spatial transcriptomics provides additional insights into the spatial distribution of genes within tissues, cellular composition, and cell-to-cell interactions within biological samples. In this narrative review, we outline the emerging role and future potential of spatial transcriptomics technology in genitourinary cancers. Full article
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16 pages, 5926 KB  
Article
Characterization of a miRNA Signature with Enhanced Diagnostic and Prognostic Power for Patients with Bladder Carcinoma
by Maria Samara, Panagiotis J. Vlachostergios, Eleni Thodou, Ioannis Zachos, Lampros Mitrakas, Konstantinos Evmorfopoulos, Vassilios Tzortzis and Antonis Giakountis
Int. J. Mol. Sci. 2023, 24(22), 16243; https://doi.org/10.3390/ijms242216243 - 13 Nov 2023
Cited by 3 | Viewed by 2177
Abstract
Bladder carcinoma is globally among the most prevalent cancers and is associated with a high mortality rate at advanced stages. Its detection relies on invasive diagnostic methods that are unpleasant for the patient. Non-invasive molecular biomarkers, such as miRNAs, could serve as alternatives [...] Read more.
Bladder carcinoma is globally among the most prevalent cancers and is associated with a high mortality rate at advanced stages. Its detection relies on invasive diagnostic methods that are unpleasant for the patient. Non-invasive molecular biomarkers, such as miRNAs, could serve as alternatives for early detection and prognosis of this malignancy. We designed a computational approach that combines transcriptome profiling, survival analyses, and calculation of diagnostic power in order to isolate miRNA signatures with high diagnostic and prognostic utility. Our analysis of TCGA-BLCA data from 429 patients yielded one miRNA signature, consisting of five upregulated and three downregulated miRNAs with cumulative diagnostic power that outperforms current diagnostic methods. The same miRNAs have a strong prognostic significance since their expression is associated with the overall survival of bladder cancer patients. We evaluated the expression of this signature in 19 solid cancer types, supporting its unique diagnostic utility for bladder carcinoma. We provide computational evidence regarding the functional implications of this miRNA signature in cell cycle regulation, demonstrating its abundance in body fluids, including peripheral blood and urine. Our study characterized a novel miRNA signature with the potential to serve as a non-invasive method for bladder cancer diagnosis and prognosis. Full article
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20 pages, 3012 KB  
Article
Transcriptomic Profiling of Rectus Abdominis Muscle in Women with Gestational Diabetes-Induced Myopathy: Characterization of Pathophysiology and Potential Muscle Biomarkers of Pregnancy-Specific Urinary Incontinence
by Fernanda Cristina Bergamo Alves, Rafael Guilen de Oliveira, David Rafael Abreu Reyes, Gabriela Azevedo Garcia, Juliana Ferreira Floriano, Raghavendra Hallur Lakshmana Shetty, Edson Assunção Mareco, Maeli Dal-Pai-Silva, Spencer Luiz Marques Payão, Fátima Pereira de Souza, Steven S. Witkin, Luis Sobrevia, Angélica Mércia Pascon Barbosa, Marilza Vieira Cunha Rudge and Diamater Study Group
Int. J. Mol. Sci. 2022, 23(21), 12864; https://doi.org/10.3390/ijms232112864 - 25 Oct 2022
Cited by 3 | Viewed by 3303
Abstract
Gestational diabetes mellitus (GDM) is recognized as a “window of opportunity” for the future prediction of such complications as type 2 diabetes mellitus and pelvic floor muscle disorders, including urinary incontinence and genitourinary dysfunction. Translational studies have reported that pelvic floor muscle disorders [...] Read more.
Gestational diabetes mellitus (GDM) is recognized as a “window of opportunity” for the future prediction of such complications as type 2 diabetes mellitus and pelvic floor muscle disorders, including urinary incontinence and genitourinary dysfunction. Translational studies have reported that pelvic floor muscle disorders are due to a GDM-induced-myopathy (GDiM) of the pelvic floor muscle and rectus abdominis muscle (RAM). We now describe the transcriptome profiling of the RAM obtained by Cesarean section from GDM and non-GDM women with and without pregnancy-specific urinary incontinence (PSUI). We identified 650 genes in total, and the differentially expressed genes were defined by comparing three control groups to the GDM with PSUI group (GDiM). Enrichment analysis showed that GDM with PSUI was associated with decreased gene expression related to muscle structure and muscle protein synthesis, the reduced ability of muscle fibers to ameliorate muscle damage, and the altered the maintenance and generation of energy through glycogenesis. Potential genetic muscle biomarkers were validated by RT-PCR, and their relationship to the pathophysiology of the disease was verified. These findings help elucidate the molecular mechanisms of GDiM and will promote the development of innovative interventions to prevent and treat complications such as post-GDM urinary incontinence. Full article
(This article belongs to the Special Issue New Advance in Diabetes Genetics)
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