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• Pub. Date : 2025
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Abstract Background The preoperative evaluation of bladder cancer (BC) pathological grade and muscle invasion is crucial for effective management outcomes. MRI is noninvasive and has no radiation exposure. MRI sequences enable anatomical and functional assessment with the capability of using functional quantitative parameters as biomarkers to analyze tissue characteristics. This study aimed to investigate the utility of apparent diffusion coefficient (ADC) and apparent transverse relaxation rate (R2*) in predicting preoperative histopathological grade and detrusor muscle invasion in bladder cancer (BC). Results This ethically approved prospective clinical study included 53 patients with suspected bladder tumors (mean age 62.85 years ± 10.02 [SD]; 49 males). Two independent readers had strong concordance in measuring ADC and R2* values (ICC > 0.9), with significantly negative correlation observed between R2* and ADC (p < 0.001). ADC cutoff value of (0.79 × 10–3 mm2/s) predicted high-grade and muscle invasive bladder cancers with diagnostic accuracies of (90.57%) and (84.9%); respectively. R2* cutoff values of (17.8/s) and (18.1/s) predicted high-grade and muscle invasive bladder cancers with diagnostic accuracies of (88.68%) and (83.02%); respectively. The conjugate R2* and ADC exhibited high diagnostic accuracies that were more impressive for predicting the histologic grade (94.2%) than for muscle invasiveness (82.7%). Conclusions ADC and R2* deployment for preoperative bladder cancer evaluation has excellent potential to predict tumor grades and detrusor muscle invasion, aiding in management planning.

• Book : 56(1)
• Pub. Date : 2025
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In recent years, metal-halide perovskites (MHPs) have emerged as highly promising optoelectronic materials based on their exceptional properties and versatility in applications such as solar cells, light-emitting devices, and radiation...

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• Pub. Date : 2025
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ABSTRACTBackgroundGlioma stem cells (GSCs) contribute to the initiation, recurrence, metastasis, and drug resistance of glioblastoma multiforme (GBM). Long noncoding RNAs (lncRNAs) are critical modulators in the development and progression of GBM; however, specific lncRNAs related to GSCs remain largely unexplored. This study aims to identify dysregulated lncRNAs in GSCs, unravel their contributions to GBM progression, and propose new targets for diagnosis and treatment.MethodsGeneChip analysis was utilized to identify lncRNAs in GSCs. The expression of RNAs was examined using quantitative real‐time PCR. Cell Counting Kit‐8, tmorsphere formation assay, limiting dilution assay, apoptosis detection and intracranial xenograft models were performed to assess the stemness and radioresistance of GSCs. Transcriptomics analysis, RNA immunoprecipitation and dual‐luciferase experiments were conducted for mechanistic studies.ResultsNONHSAT141192.2 exhibited elevated expression levels in aggressive GBM tissues compared to lower‐grade gliomas. Silencing NONHSAT141192.2 resulted in a considerable decrease in GSC proliferation, tumor sphere formation, self‐renewal and the expression of key stem cell markers. Furthermore, depletion of NONHSAT141192.2 enhanced GSC sensitivity to radiation, indicated by diminished viability and tumorsphere formation, increased cell apoptosis, and decreased tumor growth in intracranial xenograft models. Mechanistically, NONHSAT141192.2 upregulates the expression of SOX2 and PIK3R3 by sponging miR‐4279, influencing GSC characteristics and their resistance to radiation.ConclusionThe study highlights a significant relationship between NONHSAT141192.2, GSC stemness, and radioresistance, emphasizing its potential as a therapeutic target for GBM treatment and radiosensitization.

• Book : 31(2)
• Pub. Date : 2025
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• Book : 29(4)
• Pub. Date : 2025
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• Book : 63(1)
• Pub. Date : 2025
• Page : pp.1-10
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