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Urethral stricture (US) is a challenging problem in urology and its pathogenesis of US is closely related to the fibrotic process. Previous evidence has indicated the downregulation of microRNA (miR)‐486 in injured urethral specimens of rats. This study aimed to explore the effects of miR‐486‐overexpressed bone marrow mesenchymal stem cells (BMSCs) on US. BMSCs were identified by detecting their multipotency and surface antigens. Lentivirus virus expressing miR‐486 was transduced into rat BMSCs to overexpress miR‐486. Transforming growth factor (TGF)‐β1 induced fibrotic phenotypes in urethral fibroblasts (UFs) and rat models. Western blotting showed protein levels of collagen I/III and collagen type XIII alpha 1 chain (Col13a1). Real time quantitative polymerase chain reaction was utilized for messenger RNA level evaluation. Hematoxylin‐eosin, Masson's trichrome, and Von Willebrand Factor staining were conducted for histopathological analysis. Immunofluorescence staining was employed for detecting alpha smooth muscle actin (α‐SMA) expression. Luciferase reporter assay verified the interaction between miR‐486 and Col13a1. The results showed that miR‐486‐overexpressed BMSCs suppressed collagen I/III and α‐SMA expression in TGF‐β1‐stimulated UFs. miR‐486‐overexpressed BMSCs alleviated urethral fibrosis, collagen deposition, and epithelial injury in the urethral tissue of US rats. miR‐486 targeted and negatively regulated Col13a1 in US rats. In conclusion, overexpression of miR‐486 in BMSCs targets Col13a1 and attenuates urethral fibrosis in TGF‐β1‐triggered UFs and US rats. [ABSTRACT FROM AUTHOR]

Summary: Cell type‐specific gene expression is critical for the specialized functions within multicellular organisms. In Arabidopsis, SWEET11 and SWEET12 sugar transporters are specifically expressed in phloem parenchyma (PP) cells and are responsible for sucrose efflux from the PP, the first step of a two‐step apoplasmic phloem‐loading strategy that initiates the long‐distance transport of sugar from leaves to nonphotosynthetic sink tissues. However, we know nothing about what determines the PP cell‐specific expression of these SWEETs.Sequence deletions, histochemical β‐glucuronidase (GUS) analysis, cross‐sectioning, live‐cell imaging, and evolutionary analysis were used to elucidate domains responsible for PP specificity, while a Förster resonance energy transfer (FRET) sensor‐based transport assay was used to determine whether substrate specificity coevolved with PP specificity.We identified two domains in the Arabidopsis SWEET11 coding sequence that, along with its promoter (including 5′ UTR), regulate PP‐specific expression at the post‐transcriptional level, probably involving RNA‐binding proteins. This mechanism is conserved among vascular plants but independent of transport substrate specificity.We conclude that two evolutionarily duplicated coding sequence domains are essential and individually sufficient for PP‐specific expression of SWEET11. We also provide a crucial experimental tool to study PP physiology and development. [ABSTRACT FROM AUTHOR]

Purpose: The aim to assess treatment failure in patients with stage III colon cancer who underwent radical surgery and was analyzed using the nomogram., Methods: Clinical factors and survival outcomes for stage III colon cancer patients registered in the SEER database from 2018 to 2019 were analyzed, with patients split into training and testing cohorts (7:3 ratio). A total of 360 patients from the First Affiliated Hospital of Longyan served as an external validation cohort. Independent predictors of treatment failure were identified using logistic regression analyses. The nomograms was evaluated by concordance index (C-index), calibration curves, and the area under the curve (AUC), decision curve analysis (DCA) and clinical impact curves (CIC) assessed the clinical utility of nomograms versus TNM staging., Results: The study included 4,115 patients with stage III colon cancer. Multivariate logistic analysis age, tumor site, pT stage, pN stage, chemotherapy, pretreatment CEA levels, number of harvested lymph nodes, perineural invasion and marital status were identified as independent risk factors for treatment failure. The C-indices for the training and testing sets were 0.853 and 0.841. Validation by ROC and calibration curves confirmed the stability and reliability of the model. DCA showed that the net clinical effect of the histogram was superior to that of the TNM staging system, while CIC highlighted the potentially large clinical impact of the model., Conclusions: The developed Nomogram provides a powerful and accurate tool for clinicians to assess the risk of treatment failure after radical surgery in patients with stage III colon cancer., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Zeng, Zhong, Liu, Liang, Xue, Yu, Xu, Wang and Lin.)

Background: Accurate staging of prostate cancer (PCa) is the basis for the risk stratification to select targeted treatment. Therefore, this study aimed to compare the diagnostic accuracy rates of magnetic resonance imaging (MRI) and digital rectal examination (DRE) for preoperative T staging of potentially resectable PCa., Methods: From March 2021 to March 2022, patients with PCa with T staging by prostate biopsy were included. All examinations used postoperative histopathologic T staging as the reference standard. All patients underwent DRE and MRI before the puncture. Two blinded urologists and radiologists independently evaluated DRE and MRI, respectively. Before the examination, patients were then divided into early- (T1, T2) and late-(T3, T4) stage cancer. Analysis of a paired sample sign test was performed to determine differences between DRE and MRI., Results: A total of 136 study participants with PCa were evaluated histopathologically, of whom 71% (97/136) and 29% (39/136) were at the early- and late-stage cancer, respectively. MRI had a significantly higher accuracy (91.9% vs. 76.5%, P < 0.001) compared with DRE. Further, MRI showed a higher sensitivity than DRE to diagnose early PCa (92.8% vs. 74.2%; P < 0.001). However, the specificity was not significantly different between them (89.7% vs. 82.1%; P = 0.375). Area under the curve (receiver operating curve) values were calculated as 0.78 ± 0.038 (95% confidence interval [CI], 0.71-0.86), 0.91 ± 0.028 (95% CI, 0.86-0.97), and 0.872 ± 0.028 (95% CI, 0.80-0.92) for DRE-, MRI-, MRI + DRE-based PCa predictions, respectively. The prediction performance of MRI was better than that of DRE (DeLong test, z = 3.632, P = 0.0003) and MRI + DRE (DeLong test, z = 3.715, P = 0.0002)., Conclusion: For resectable PCa, the diagnostic potential of MRI in assessing the T stage was higher than that of DRE. However, DRE is still valuable, especially for patients with locally advanced PCa.