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Background and Objectives : The aim of this study was to assess the predictive factors associated with transient urine incontinence (TUI) following holmium laser enucleation of the prostate (HoLEP). Materials and Methods : A retrospective analysis was conducted on a prospectively maintained database containing the first 149 consecutive HoLEP cases between June 2022 and December 2023. The study recorded several patient characteristics, and preoperative data such as IPSS score, total gland volume, preoperative catheterization, Qmax, and PVR volume were collected. During the operation, data on total operating time, enucleation time, morcellation time, and weight of enucleated tissue were recorded. Finally, postoperative data were also documented. TUI refers to a patient's complaint of urine leakage, irrespective of type. Univariate and multivariate logistic regression analyses were performed to determine factors that predict TUI. Results : The study included 119 patients with BPH. Nineteen (15.96%) of them experienced postoperative TUI. Of those 19 patients, 15 (78.94%) recovered within three months from the date of the surgery. In the multivariate regression analysis, increased age (odds ratio [OR], 3.47; 95% confidence interval [CI], 1.56~7.78; p = 0.002), prostate volume ≥ 100 mL (OR 1.86; 95% CI 1.54-2.13; p = 0.001), preoperative PVR volume ≥ 250 mL (OR 1.22; 95% CI 1.10-1.32; p = 0.02), preoperative catheterization (OR, 0.56; 95% CI 0.34-0.78; p = 0.003), increased operation time (OR, 3.87; 95% CI 1.62-4.19; p = 0.002), and resected tissue weight ≥ 40 g (OR, 1.032; 95% CI, 1.015-1.048; p = 0.002) were found to be independent predictors of TUI. Conclusions : The incidence of TUI following HoLEP was found to be 15.96% in patients, with a recovery rate of 78.94% within three months post-surgery. Predictive factors for TUI included age at surgery, prostatic volume, preoperative catheterization, high PVR, longer operative time, and resected tissue weight.

MicroRNAs (miRNAs) are a class of small non-coding RNAs that may function as tumor suppressors or oncogenes. Alteration of their expression levels has been linked to a range of human malignancies, including cancer. The objective of this investigation is to assess the relative expression levels of certain miRNAs to distinguish between prostate cancer (PCa) from benign prostatic hyperplasia (BPH). Blood plasma was collected from 66 patients diagnosed with BPH and 58 patients with PCa. Real-time PCR technology was used to evaluate the relative expression among the two groups for miR-106a-5p and miR-148a-3p. The significant downregulation of both miRNAs in plasma from PCa versus BPH patients suggests their potential utility as diagnostic biomarkers for distinguishing between these conditions. The concurrent utilization of these two miRNAs slightly enhanced the sensitivity for discrimination among the two analyzed groups, as shown in ROC curve analysis. Further validation of these miRNAs in larger patient cohorts and across different stages of PCa may strengthen their candidacy as clinically relevant biomarkers for diagnosis and prognosis.

Hepatocellular carcinoma (HCC) is the predominant form of primary liver cancer and the third contributor to malignancy-related deaths worldwide. The hepatic venous pressure gradient (HVPG), transient elastography-liver stiffness measurement (TE-LSM), and the association between TBS (tumor burden score), alpha-fetoprotein levels, and the Child-Pugh classification (TAC score) can serve as valuable prognostic indicators for these patients. Therefore, the main objective of our research was to analyze the prognostic value of the HVPG, TE-LSM, TBS, and TAC scores. An observational and survival study was conducted on 144 subjects. Our findings indicated that HVPG greater than 10 mmHg, AFP surpassing 400 ng/mL, an advanced C-P class, and low TAC score are independent predictors of overall survival. During the multivariate analysis, AFP serum levels and C-P class proved statistically significant. The present study revealed significant differences in overall survival between the two groups divided upon HVPG values and settled by the cutoff of 10 mmHg ( p = 0.02). Moreover, by dividing the cohort into three groups based on the TAC score (very low, low, and moderate), statistically significant differences in overall survival were observed across the groups ( p = 0.004).

Colorectal cancer (CRC) is one of the most aggressive, heterogenous, and fatal types of human cancer for which screening, and more effective therapeutic drugs are urgently needed. Early-stage detection and treatment greatly improve the 5-year survival rate. In the era of targeted therapies for all types of cancer, a complete metabolomic profile is mandatory before neoadjuvant therapy to assign the correct drugs and check the response to the treatment given. The aim of this study is to discover specific metabolic biomarkers or a sequence of metabolomic indicators that possess precise diagnostic capabilities in predicting the efficacy of neoadjuvant therapy. After searching the keywords, a total of 108 articles were identified during a timeframe of 10 years (2013-2023). Within this set, one article was excluded due to the use of non-English language. Six scientific papers were qualified for this investigation after eliminating all duplicates, publications not referring to the subject matter, open access restriction papers, and those not applicable to humans. Biomolecular analysis found a correlation between metabolomic analysis of colorectal cancer samples and poor progression-free survival rates. Biomarkers are instrumental in predicting a patient's response to specific treatments, guiding the selection of targeted therapies, and indicating resistance to certain drugs.

In recent years, there has been an expansion in the development of simulators that use virtual reality (VR) as a learning tool. In surgery where robots are used, VR serves as a revolutionary technology to help medical doctors train in using these robotic systems and accumulate knowledge without risk. This article presents a study in which VR is used to create a simulator designed for robotically assisted single-uniport surgery. The control of the surgical robotic system is achieved using voice commands for laparoscopic camera positioning and via a user interface developed using the Visual Studio program that connects a wristband equipped with sensors attached to the user's hand for the manipulation of the active instruments. The software consists of the user interface and the VR application via the TCP/IP communication protocol. To study the evolution of the performance of this virtual system, 15 people were involved in the experimental evaluation of the VR simulator built for the robotic surgical system, having to complete a medically relevant task. The experimental data validated the initial solution, which will be further developed.

Our study aimed to evaluate the baseline neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), and systemic immune-inflammation index (SII) in relation to invasion, metastasis, and resectability for patients with gastric cancer, respectively, as predictors of death during hospitalization or surgical complications. A retrospective cohort study was conducted on 657 gastric cancer subjects. Inflammatory biomarkers were computed. The associations with tumor stage, metastasis, optimal procedure, in-hospital mortality, and surgical complications were evaluated. Subjects who underwent curative-intent surgery presented lower median NLRs (2.9 vs. 3.79), PLRs (166.15 vs. 196.76), and SIIs (783.61 vs. 1122.25), and higher LMRs (3.34 vs. 2.9) than those who underwent palliative surgery. Significantly higher NLRs (3.3 vs. 2.64), PLRs (179.68 vs. 141.83), and SIIs (920.01 vs. 612.93) were observed for those with T3- and T4-stage cancer, in comparison with those with T1- and T2-stage cancer. Values were significantly higher in the case of metastasis for the NLR (3.96 vs. 2.93), PLR (205.22 vs. 167.17), and SII (1179 vs. 788.37) and significantly lower for the LMR (2.74 vs. 3.35). After the intervention, the NLR, PLR, and SII values were higher ( p < 0.01) for patients with surgical complications, and the NLR and SII values were higher for those who died during hospitalization. Higher NLRs, PLRs, SIIs, and lower LMRs were associated with a more aggressive tumor; during early follow-up, these were related to post-operative complications and death during hospitalization.

Nonalcoholic fatty liver disease (NAFLD) is the most prevalent liver pathology worldwide. Meanwhile, liver cancer represents the sixth most common malignancy, with hepatocellular carcinoma (HCC) as the primary, most prevalent subtype. Due to the rising incidence of metabolic disorders, NAFLD has become one of the main contributing factors to HCC development. However, although NAFLD might account for about a fourth of HCC cases, there is currently a significant gap in HCC surveillance protocols regarding noncirrhotic NAFLD patients, so the majority of NAFLD-related HCC cases were diagnosed in late stages when survival chances are minimal. However, in the past decade, the focus in cancer genomics has shifted towards the noncoding part of the genome, especially on the microRNAs (miRNAs) and long noncoding RNAs (lncRNAs), which have proved to be involved in the regulation of several malignant processes. This review aims to summarize the current knowledge regarding some of the main dysregulated, noncoding RNAs (ncRNAs) and their implications for NAFLD and HCC development. A central focus of the review is on miRNA and lncRNAs that can influence the progression of NAFLD towards HCC and how they can be used as potential screening tools and future therapeutic targets.

Hepatocellular carcinoma is the most common liver malignancy and is among the top five most common cancers. Despite the progress of surgery and chemotherapy, the results are often disappointing, in part due to chemoresistance. This type of tumor has special characteristics that allow the improvement of diagnostic and treatment techniques used in clinical practice, by combining nanotechnology. This article presents a brief review of the literature focused on nano-conditioned diagnostic methods, targeted therapy, and therapeutic implications for the pathology of hepatocellular carcinoma. Within each subdomain, several modern technologies with significant impact were highlighted: serological, imaging, or histopathological diagnosis; intraoperative detection; carrier-type nano-conditioned therapy, thermal ablation, and gene therapy. The prospects offered by nanomedicine will strengthen the hope of more efficient diagnoses and therapies in the future.