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Magnetar giant flares are rare explosive events releasing up to 1047 erg in gamma rays in less than 1 second from young neutron stars with magnetic fields up to 1015-16 G (refs. 1,2). Only three such flares have been seen from magnetars in our Galaxy3,4 and in the Large Magellanic Cloud5 in roughly 50 years. This small sample can be enlarged by the discovery of extragalactic events, as for a fraction of a second giant flares reach luminosities above 1046 erg s-1, which makes them visible up to a few tens of megaparsecs. However, at these distances they are difficult to distinguish from short gamma-ray bursts (GRBs); much more distant and energetic (1050-53 erg) events, originating in compact binary mergers6. A few short GRBs have been proposed7-11, with different amounts of confidence, as candidate giant magnetar flares in nearby galaxies. Here we report observations of GRB 231115A, positionally coincident with the starburst galaxy M82 (ref. 12). Its spectral properties, along with the length of the burst, the limits on its X-ray and optical counterparts obtained within a few hours, and the lack of a gravitational wave signal, unambiguously qualify this burst as a giant flare from a magnetar in M82.
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BACKGROUND: There is a strong clinical need to fill the gap of identifying clinically significant prostate cancer (csPCa) in men with prostate-specific antigen (PSA) gray zone values. Promising, but not definitive results have been obtained using PSA derivatives such as prostate health index (PHI) and PHI density (PHID) and the percentage (-2)proPSA/free PSA (%p2PSA/fPSA). Thus, this study aimed to compare the diagnostic value of PHI, PHID, %proPSA/fPSA, and (-2)proPSA/freePSA density (-2pPSA/fPSAD) for csPCa in the patients with PSA within 2-10 ng/mL. METHODS: Serum samples and clinicopathological features were prospectively collected from 142 patients who underwent robot-assisted radical prostatectomy between September 2021 and December 2023. According to the inclusion criteria, the patients with total PSA within 2 and 10 ng/mL and negative or suspicious digital rectal examination were enrolled. We used two different classifications for csPCa: 1) patients with Gleason score (GS) ≥ 7(4 + 3) and 2) patients with GS ≥ 7(3 + 4). The receiver operating characteristic curves and the area under the curve (AUC) values were used to assess the diagnostic performance. RESULTS: Of the 142 men included, 116 (82%) patients were diagnosed with csPCa as GS ≥ 3 + 4 and 107 (75%) defined as csPCa as GS ≥ 7(4 + 3), respectively. We found that p2PSA/fPSA, p2PSA/fPSAD, PHI, and PHID were significantly higher in csPCa classified as GS ≥ 7(3 + 4) as well as GS ≥ 7(4 + 3), with p-values 0.027, 0.054, 0.0016, and 0.0027, respectively. AUCs of the analyzed variables were higher when used to predict csPCa as GS ≥ 6 compared to csPCa as GS ≥7(4 + 3), with an AUC equal, respectively, to 0.679 (95% CI: 0.571-0.786), 0.685 (95% CI: 0.571-0.799), 0.737 (95% CI: 0.639-0.836), and 0.736 (95% CI: 0.630-0.841) in the first subgroup and with an AUC equal, respectively, to 0.653 (95% CI: 0.552-0.754), 0.665 (95% CI: 0.560-0.770), 0.668 (95% CI: 0.568-0.769), and 0.670 (95% CI: 0.567-0.773) in the second, respectively. Both PHID and p2PSA/fPSAD allowed improvement in the diagnostic accuracy with respect to PHI and p2PSA/fPSA ratio, however the differences were not statistically significant (p = 0.409, 0.180 for csPCa as G ≥ Gleason grade (GG) 2 and 0.558 and 0.087 for csPCa as G ≥ GG3, respectively). We found that PHI, PHID, p2PSA/fPSA ratio, and p2PSA/fPSAD showed higher sensitivity, specificity, and positive predictive value when used to predict csPCa as GG ≥ 2, whereas negative predictive value of all four parameters was higher when used to predict GG ≥ 3. CONCLUSIONS: In men with a PSA level between 2 and 10 ng/mL, PHI and PHID, p2PSA/fPSA, and p2PSA/fPSAD showed good diagnostic performance for postoperative csPCa. However, PHID and p2PSA/fPSAD had a small advantage over PHI which needs to be further investigated for the reduction of unnecessary surgical interventions. This finding suggests that it could be a promising biomarker for making the treatment-decision strategy.
Subject(s)
Prostate-Specific Antigen , Prostatectomy , Prostatic Neoplasms , Humans , Male , Prostatic Neoplasms/blood , Prostatic Neoplasms/surgery , Prostatic Neoplasms/pathology , Prostatic Neoplasms/diagnosis , Prostate-Specific Antigen/blood , Middle Aged , Aged , Prospective Studies , Prostate/pathology , Prostate/surgeryABSTRACT
OBJECTIVE: Evaluate the detection rates of systematic, targeted and combined cores at biopsy according to tumor positions in biopsy-naïve patients. MATERIAL AND METHODS: A retrospective analysis of a single-center patient cohort (n = 501) that underwent transrectal prostate biopsy between January 2017 and December 2019 was performed. Multi-parametric MRI was executed as a prebiopsy investigation. Biopsy protocol included, for each patient, 12 systematic cores plus 3 to 5 targeted cores per lesion identified at the mpMRI. Pearson and McNemar chi-squared tests were used for statistical analysis to compare tumor location-related detection rates of systematic, targeted and combined (systematic + targeted) cores at biopsy. RESULTS: Median age of patients was 70 years (IQR 62-72), with a median PSA of 8.5 ng/ml (IQR 5.7-15.6). Positive biopsies were obtained in 67.7% of cases. Overall, targeted cores obtained higher detection rates compared to systematic cores (54.3% vs. 43.1%, p < 0.0001). Differences in detection rates were, however, higher for tumors located at the apex (61.1% vs. 26.3%, p < 0.05) and anteriorly (44.4% vs. 19.3%, p < 0.05). Targeted cores similarly obtained higher detection rates in the posterior zone of the prostate gland for clinically significant prostate cancer. A poor agreement was reported between targeted and systematic cores for the apex and anterior zone of the prostate with, respectively κ = 0.028 and κ = -0.018. CONCLUSION: A combined approach of targeted and systematic biopsy delivers the highest detection rate in prostate cancer (PCa). The location of the tumor could however greatly influence overall detection rates, indicating the possibility to omit (as for the base or posterior zone of the gland) or add (as for the apex or anterior zone of the gland) further targeted cores.
Subject(s)
Image-Guided Biopsy , Multiparametric Magnetic Resonance Imaging , Prostate , Prostatic Neoplasms , Humans , Male , Prostatic Neoplasms/pathology , Prostatic Neoplasms/diagnosis , Retrospective Studies , Aged , Middle Aged , Multiparametric Magnetic Resonance Imaging/methods , Prostate/pathology , Prostate/diagnostic imaging , Image-Guided Biopsy/methods , Biopsy, Large-Core Needle/methodsABSTRACT
OBJECTIVE: To conduct a comprehensive comparison of microwave ablation (MWA) vs radiofrequency ablation (RFA) outcomes in the treatment of small renal masses (SRMs), specifically: TRIFECTA ([i] complete ablation, [ii] absence of Clavien-Dindo Grade ≥III complications, and [iii] absence of ≥30% decrease in estimated glomerular filtration rate) achievement, operative time (OT), and local recurrence rate (LRR). PATIENTS AND METHODS: We retrospectively analysed 531 patients with SRMs (clinical T1a-b) treated with MWA or RFA at a single centre (2008-2022). First, multivariable logistic regression models were used for testing TRIFECTA achievement. Second, multivariable Poisson regression models were used to evaluate variables associated with longer OT. Finally, Kaplan-Meier plots depicted LRR over time. All analyses were repeated after 1:1 propensity score matching (PSM). RESULTS: Of 531 patients with SRMs, 373/531 (70.2%) underwent MWA and 158/531 (29.8%) RFA. MWA demonstrated superior TRIFECTA achievement (314/373 [84.2%]) compared to RFA (114/158 [72.2%], P = 0.001). These differences were driven by higher rates of complete ablation in MWA- vs RFA-treated patients (348/373 [93.3%] vs 137/158 [86.7%], P < 0.001). In multivariable logistic regression models, MWA was associated with higher TRIFECTA achievement, compared to RFA, before (odds ratio [OR] 1.92, P = 0.008) and after PSM (OR 1.99, P = 0.023). Finally, the median OT was shorter for MWA vs RFA (105 vs 115 min; P = 0.002). At Poisson regression analyses, MWA predicted shorter OT before (incidence rate ratio [IRR] 0.86, P < 0.001) and after PSM (IRR 0.85, P < 0.001). Local recurrence occurred in 17/373 (4.6%) MWA-treated patients and 21/158 (13.3%) RFA-treated patients (P = 0.29) after a median (interquartile range) follow-up of 24 (8-46) months. There were no differences in the LRR in Kaplan-Meier plots before (P = 0.29) and after PSM (P = 0.42). CONCLUSION: Microwave ablation provides higher TRIFECTA achievement, and shorter OT than RFA. No significant differences were found regarding the LRR.
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OBJECTIVES: To test the performance of ex vivo fluorescence confocal microscopy (FCM; Vivascope 2500M-G4), as compared to intra-operative frozen section (IFS) analysis, to evaluate surgical margins during robot-assisted radical prostatectomy (RARP), with final pathology as the reference standard. METHODS: Overall, 54 margins in 45 patients treated with RARP were analysed with: (1) ex vivo FCM; (2) IFS analysis; and (3) final pathology. FCM margins were evaluated by two different pathologists (experienced [M.I.: 10 years] vs highly experienced [G.R.: >30 years]) as strongly negative, probably negative, doubtful, probably positive, or strongly positive. First, inter-observer agreement (Cohen's κ) between pathologists was tested. Second, we reported the sensitivity, specificity, positive predictive (PPV) and negative predictive value (NPV) of ex vivo FCM. Finally, agreement between ex vivo FCM and IFS analysis (Cohen's κ) was reported. For all analyses, four combinations of FCM results were evaluated. RESULTS: At ex vivo FCM, the inter-observer agreement between pathologists ranged from moderate (κ = 0.74) to almost perfect (κ = 0.90), according to the four categories of results. Indeed, at ex vivo FCM, the highly experienced pathologist reached the best balance between sensitivity (70.5%) specificity (91.8%), PPV (80.0%) and NPV (87.1%). Conversely, on IFS analysis, the sensitivity, specificity, PPV and NPV were, respectively, 88.2% vs 100% vs 100% vs 94.8%. The agreement between the ex vivo FCM and IFS analyses ranged from moderate (κ = 0.62) to strong (κ = 0.86), according to the four categories of results. CONCLUSION: Evaluation of prostate margins at ex vivo FCM appears to be feasible and reliable. The agreement between readers encourages its widespread use in daily practice. Nevertheless, as of today, the performance of FCM seems to be sub-par when compared to the established standard of care (IFS analysis).
Subject(s)
Frozen Sections , Margins of Excision , Microscopy, Confocal , Prostatectomy , Prostatic Neoplasms , Humans , Prostatectomy/methods , Male , Prostatic Neoplasms/pathology , Prostatic Neoplasms/surgery , Middle Aged , Aged , Observer Variation , Robotic Surgical Procedures/methodsABSTRACT
OBJECTIVE: To analyse surgical, functional, and mid-term oncological outcomes of robot-assisted nephroureterectomy (RANU) in a contemporary large multi-institutional setting. PATIENTS AND METHODS: Data were retrieved from the ROBotic surgery for Upper tract Urothelial cancer STtudy (ROBUUST) 2.0 database, an international, multicentre registry encompassing data of patients with upper urinary tract urothelial carcinoma undergoing curative surgery between 2015 and 2022. The analysis included all consecutive patients undergoing RANU except those with missing data in predictors. Detailed surgical, pathological, and postoperative functional data were recorded and analysed. Oncological time-to-event outcomes were: recurrence-free survival (RFS), metastasis-free survival (MFS), cancer-specific survival (CSS), and overall survival (OS). Survival analysis was performed using the Kaplan-Meier method, with a 3-year cut-off. A multivariable Cox proportional hazard model was built to evaluate predictors of each oncological outcome. RESULTS: A total of 1118 patients underwent RANU during the study period. The postoperative complications rate was 14.1%; the positive surgical margin rate was 4.7%. A postoperative median (interquartile range) estimated glomerular filtration rate decrease of -13.1 (-27.5 to 0) mL/min/1.73 m2 from baseline was observed. The 3-year RFS was 59% and the 3-year MFS was 76%, with a 3-year OS and CSS of 76% and 88%, respectively. Significant predictors of worse oncological outcomes were bladder-cuff excision, high-grade tumour, pathological T stage ≥3, and nodal involvement. CONCLUSIONS: The present study contributes to the growing body of evidence supporting the increasing adoption of RANU. The procedure consistently offers low surgical morbidity and can provide favourable mid-term oncological outcomes, mirroring those of open NU, even in non-organ-confined disease.
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PURPOSE: This study compares the peri-operative and functional outcomes of three distinct surgical techniques in Thulium Laser Enucleation of the Prostate (ThuLEP) for benign prostatic hyperplasia (BPH). The main aim is to assess whether the En-bloc, Three-lobe, and Two-lobe techniques have differential effects on surgical efficacy and patient outcomes. METHODS: A retrospective analysis was conducted on patients undergoing ThuLEP for BPH between January 2019 and January 2024 at two tertiary centers. Propensity score matching was utilized to balance baseline characteristics among patients undergoing the different techniques. Surgical parameters, including operative time, enucleation time, morcellation time, energy consumption, and postoperative outcomes, were compared among the groups. RESULTS: Following propensity score matching, 213 patients were included in the analysis. Intraoperative analysis revealed significantly shorter enucleation, laser enucleation, morcellation and operative times and total energy delivered in the En-bloc and Two-lobe groups compared to the Three-lobe group. No significant differences were observed among the groups in terms of intraoperative and postoperative complications. There were no significant differences in functional outcomes at the 3-month follow-up among the groups. CONCLUSION: The findings of this study suggest that while the En-bloc and Two-lobe techniques may offer efficiency benefits and could be considered safe alternatives in ThuLEP procedures, the reduction in laser enucleation time and energy delivered did not necessarily translate into improvements in post operative storage symptoms or other functional outcomes for the patients. Surgeon preference and proficiency may play a crucial role in selecting the most suitable technique for individual patients. Future research should focus on larger-scale prospective studies to further validate these findings and explore potential factors influencing surgical outcomes.
Subject(s)
Propensity Score , Prostatic Hyperplasia , Humans , Prostatic Hyperplasia/surgery , Male , Retrospective Studies , Aged , Middle Aged , Treatment Outcome , Thulium/therapeutic use , Laser Therapy/methods , Lasers, Solid-State/therapeutic use , Prostatectomy/methods , Transurethral Resection of Prostate/methods , Operative TimeABSTRACT
PURPOSE: To assess the impact of neoadjuvant and adjuvant chemotherapy on survival outcomes, within a large multicenter cohort of Upper tract urothelial carcinoma patients treated with Nephroureterectomy. METHODS: A multicenter retrospective analysis utilizing the Robotic surgery for Upper Tract Urothelial Cancer Study registry was performed. Baseline, preoperative, perioperative, and pathologic variables of three groups of patients receiving surgery only, neoadjuvant or adjuvant chemotherapy were compared. Categorical and continuous variables among the three subgroups were compared with Chi square and ANOVA tests. The impact of perioperative chemotherapy on survival outcomes was assessed with the Kaplan Meier method. Univariable and multivariable Cox regression analyses were performed to identify predictors of survival. RESULTS: Overall, 1,994 patients were included. Overall and Clavien grade ≥3 complications rates were comparable among the three subgroups (p = 0.65 and p = 0.92). At Kaplan Meier analysis, neoadjuvant chemotherapy significantly improved cancer-specific survival (p = 0.03) and overall survival (p = 0.03) probabilities of patients with cT ≥ 3 tumors and of those with positive cN (p = 0.03 and p = 0.02). On multivariable analysis, neoadjuvant chemotherapy was independently associated with an improvement of cancer-specific survival in cT ≥ 3 patients (HR 0.44; p = 0.04), and of both cancer-specific survival (HR 0.50; p = 0.03) and overall survival (HR 0.53; p = 0.02) probabilities in positive cN patients. CONCLUSIONS: This large multicenter retrospective analysis suggests significant survival benefit in Upper tract urothelial carcinoma patients with either locally advanced or clinically positive nodes disease receiving neoadjuvant chemotherapy. These findings can be regarded as "hypothesis generating", stimulating future trials focusing on such advanced stages.
Subject(s)
Carcinoma, Transitional Cell , Kidney Neoplasms , Neoadjuvant Therapy , Nephroureterectomy , Registries , Ureteral Neoplasms , Humans , Male , Female , Retrospective Studies , Carcinoma, Transitional Cell/surgery , Carcinoma, Transitional Cell/drug therapy , Carcinoma, Transitional Cell/pathology , Aged , Ureteral Neoplasms/drug therapy , Ureteral Neoplasms/surgery , Ureteral Neoplasms/mortality , Ureteral Neoplasms/pathology , Kidney Neoplasms/surgery , Kidney Neoplasms/drug therapy , Kidney Neoplasms/pathology , Kidney Neoplasms/therapy , Chemotherapy, Adjuvant , Middle Aged , Lymphatic Metastasis , Survival Rate , Neoplasm StagingABSTRACT
OBJECTIVE: To test the ability of high-performance machine learning (ML) models employing clinical, radiological, and radiomic variables to improve non-invasive prediction of the pathological status of prostate cancer (PCa) in a large, single-institution cohort. METHODS: Patients who underwent multiparametric MRI and prostatectomy in our institution in 2015-2018 were considered; a total of 949 patients were included. Gradient-boosted decision tree models were separately trained using clinical features alone and in combination with radiological reporting and/or prostate radiomic features to predict pathological T, pathological N, ISUP score, and their change from preclinical assessment. Model behavior was analyzed in terms of performance, feature importance, Shapley additive explanation (SHAP) values, and mean absolute error (MAE). The best model was compared against a naïve model mimicking clinical workflow. RESULTS: The model including all variables was the best performing (AUC values ranging from 0.73 to 0.96 for the six endpoints). Radiomic features brought a small yet measurable boost in performance, with the SHAP values indicating that their contribution can be critical to successful prediction of endpoints for individual patients. MAEs were lower for low-risk patients, suggesting that the models find them easier to classify. The best model outperformed (p ≤ 0.0001) clinical baseline, resulting in significantly fewer false negative predictions and overall was less prone to under-staging. CONCLUSIONS: Our results highlight the potential benefit of integrative ML models for pathological status prediction in PCa. Additional studies regarding clinical integration of such models can provide valuable information for personalizing therapy offering a tool to improve non-invasive prediction of pathological status. CLINICAL RELEVANCE STATEMENT: The best machine learning model was less prone to under-staging of the disease. The improved accuracy of our pathological prediction models could constitute an asset to the clinical workflow by providing clinicians with accurate pathological predictions prior to treatment. KEY POINTS: ⢠Currently, the most common strategies for pre-surgical stratification of prostate cancer (PCa) patients have shown to have suboptimal performances. ⢠The addition of radiological features to the clinical features gave a considerable boost in model performance. Our best model outperforms the naïve model, avoiding under-staging and resulting in a critical advantage in the clinic. â¢Machine learning models incorporating clinical, radiological, and radiomics features significantly improved accuracy of pathological prediction in prostate cancer, possibly constituting an asset to the clinical workflow.
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Machine Learning , Multiparametric Magnetic Resonance Imaging , Prostatectomy , Prostatic Neoplasms , Humans , Male , Prostatic Neoplasms/diagnostic imaging , Prostatic Neoplasms/pathology , Prostatic Neoplasms/surgery , Multiparametric Magnetic Resonance Imaging/methods , Aged , Middle Aged , Prostatectomy/methods , Retrospective Studies , Prostate/diagnostic imaging , Prostate/pathology , Predictive Value of Tests , Decision Trees , RadiomicsABSTRACT
PURPOSE: It is unknown to what extent 10-year overall survival of radical nephrectomy treated intermediate/high-risk non-metastatic clear cell renal carcinoma patients differs from age- and sex-matched population-based controls, especially when race/ethnicity is considered (Caucasian vs. African American vs. Hispanic vs. Asian/Pacific Islander). METHODS: We relied on the SEER database (2004-2018) to identify newly diagnosed radical nephrectomy treated intermediate/high risk non-metastatic clear cell renal carcinoma patients. For each case, we simulated an age- and sex-matched control relying on Social Security Administration Life Tables with 10 years of follow-up. We compared overall survival between renal carcinoma cases and population-based controls. Multivariable competing risks regression models tested for predictors of cancer-specific mortality versus other-cause mortality. RESULTS: Of 6877 radical nephrectomy treated intermediate/high risk non-metastatic clear cell renal carcinoma patients, 5050 (73%) were Caucasian versus 433 (6%) African American versus 1002 (15%) Hispanic versus 392 (6%) Asian/Pacific Islanders. At 10 years, overall survival difference between radical nephrectomy treated intermediate/high risk non-metastatic clear cell renal carcinoma patients versus population-based controls was greatest in African Americans (51% vs. 81%, Δ = 30%), followed by Hispanics (54% vs. 80%, Δ = 26%), Asian/Pacific Islanders (56% vs. 80%, Δ = 24%) and Caucasians (52% vs. 74%, Δ = 22%). In competing risks regression, only African Americans exhibited significantly higher other cause mortality (hazard ratio = 1.3; 95% confidence interval = 1.1 - 1.6; p = 0.01) than others. CONCLUSION: Relative to Life Tables' derived sex- and age-matched controls, radical nephrectomy treated intermediate/high-risk non-metastatic clear cell renal carcinoma patients exhibit worse overall survival, with worst overall survival recorded in African Americans of all race/ethnicity groups.
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Future air quality monitoring networks will integrate fleets of low-cost gas and particulate matter sensors that are calibrated using machine learning techniques. Unfortunately, it is well known that concept drift is one of the primary causes of data quality loss in machine learning application operational scenarios. The present study focuses on addressing the calibration model update of low-cost NO2 sensors once they are triggered by a concept drift detector. It also defines which data are the most appropriate to use in the model updating process to gain compliance with the relative expanded uncertainty (REU) limits established by the European Directive. As the examined methodologies, the general/global and the importance weighting calibration models were applied for concept drift effects mitigation. Overall, for all the devices under test, the experimental results show the inadequacy of both models when performed independently. On the other hand, the results from the application of both models through a stacking ensemble strategy were able to extend the temporal validity of the used calibration model by three weeks at least for all the sensor devices under test. Thus, the usefulness of the whole information content gathered throughout the original co-location process was maximized.
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Renal cell carcinoma (RCC) comprises various histologically distinct subtypes, each characterized by specific genetic alterations, necessitating individualized management and treatment strategies for each subtype. An exhaustive search of the PubMed database was conducted without any filters or restrictions. Inclusion criteria encompassed original English articles focusing on molecular mechanisms of kidney cancer. On the other hand, all non-original articles and articles published in any language other than English were excluded. Hereditary kidney cancer represents 5-8% of all kidney cancer cases and is associated with syndromes such as von Hippel-Lindau syndrome, Birt-Hogg-Dubè syndrome, succinate dehydrogenase-deficient renal cell cancer syndrome, tuberous sclerosis complex, hereditary papillary renal cell carcinoma, fumarate hydratase deficiency syndrome, BAP1 tumor predisposition syndrome, and other uncommon hereditary cancer syndromes. These conditions are characterized by distinct genetic mutations and related extra-renal symptoms. The majority of renal cell carcinoma predispositions stem from loss-of-function mutations in tumor suppressor genes. These mutations promote malignant advancement through the somatic inactivation of the remaining allele. This review aims to elucidate the main molecular mechanisms underlying the pathophysiology of major syndromes associated with renal cell carcinoma. By providing a comprehensive overview, it aims to facilitate early diagnosis and to highlight the principal therapeutic options available.
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Genetic Predisposition to Disease , Kidney Neoplasms , Neoplastic Syndromes, Hereditary , Humans , Kidney Neoplasms/genetics , Kidney Neoplasms/etiology , Kidney Neoplasms/pathology , Neoplastic Syndromes, Hereditary/genetics , Carcinoma, Renal Cell/genetics , Carcinoma, Renal Cell/pathology , Carcinoma, Renal Cell/etiology , Mutation , Carcinogenesis/genetics , Tumor Suppressor Proteins/geneticsABSTRACT
Kidney stone disease (KSD) is one of the most common urological diseases. The incidence of kidney stones has increased dramatically in the last few decades. Kidney stones are mineral deposits in the calyces or the pelvis, free or attached to the renal papillae. They contain crystals and organic components, and they are made when urine is supersaturated with minerals. Calcium-containing stones are the most common, with calcium oxalate as the main component of most stones. However, many of these form on a calcium phosphate matrix called Randall's plaque, which is found on the surface of the kidney papilla. The etiology is multifactorial, and the recurrence rate is as high as 50% within 5 years after the first stone onset. There is a great need for recurrence prevention that requires a better understanding of the mechanisms involved in stone formation to facilitate the development of more effective drugs. This review aims to understand the pathophysiology and the main molecular mechanisms known to date to prevent recurrences, which requires behavioral and nutritional interventions, as well as pharmacological treatments that are specific to the type of stone.
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Body Fluids , Kidney Calculi , Humans , Kidney Calculi/etiology , Kidney Medulla , Calcium Oxalate , MineralsABSTRACT
Kidney transplantation offers a longer life expectancy and a better quality of life than dialysis to patients with end-stage kidney disease. Ischemia-reperfusion injury (IRI) is thought to be a cornerstone in delayed or reduced graft function and increases the risk of rejection by triggering the immunogenicity of the organ. IRI is an unavoidable event that happens when the blood supply is temporarily reduced and then restored to an organ. IRI is the result of several biological pathways, such as transcriptional reprogramming, apoptosis and necrosis, innate and adaptive immune responses, and endothelial dysfunction. Tubular cells mostly depend on fatty acid (FA) ß-oxidation for energy production since more ATP molecules are yielded per substrate molecule than glucose oxidation. Upon ischemia-reperfusion damage, the innate and adaptive immune system activates to achieve tissue clearance and repair. Several cells, cytokines, enzymes, receptors, and ligands are known to take part in these events. The complement cascade might start even before organ procurement in deceased donors. However, additional experimental and clinical data are required to better understand the pathogenic events that take place during this complex process.
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Kidney Transplantation , Reperfusion Injury , Humans , Reperfusion Injury/metabolism , Kidney Transplantation/adverse effects , AnimalsABSTRACT
Renal cell carcinoma (RCC) remains a formidable diagnostic challenge, especially in the context of small renal masses. The quest for non-invasive screening tools and biomarkers has steered research towards liquid biopsy, focusing on microRNAs (miRNAs), exosomes, and circulating tumor cells (CTCs). MiRNAs, small non-coding RNAs, exhibit notable dysregulation in RCC, offering promising avenues for diagnosis and prognosis. Studies underscore their potential across various biofluids, including plasma, serum, and urine, for RCC detection and subtype characterization. Encouraging miRNA signatures show correlations with overall survival, indicative of their future relevance in RCC management. Exosomes, with their diverse molecular cargo, including miRNAs, emerge as enticing biomarkers, while CTCs, emanating from primary tumors into the bloodstream, provide valuable insights into cancer progression. Despite these advancements, clinical translation necessitates further validation and standardization, encompassing larger-scale studies and robust evidence generation. Currently lacking approved diagnostic assays for renal cancer, the potential future applications of liquid biopsy in follow-up care, treatment selection, and outcome prediction in RCC patients are profound. This review aims to discuss and highlight recent advancements in liquid biopsy for RCC, exploring their strengths and weaknesses in the comprehensive management of this disease.
Subject(s)
Carcinoma, Renal Cell , Kidney Neoplasms , MicroRNAs , Humans , Carcinoma, Renal Cell/diagnosis , Carcinoma, Renal Cell/genetics , Precision Medicine , Kidney Neoplasms/diagnosis , Kidney Neoplasms/genetics , MicroRNAs/genetics , Liquid Biopsy , BiomarkersABSTRACT
Background Current predictive tools to estimate the risk of biochemical recurrence (BCR) after treatment of prostate cancer do not consider multiparametric MRI (mpMRI) information. Purpose To develop a risk prediction tool that considers mpMRI findings to assess the risk of 5-year BCR after radical prostatectomy. Materials and Methods In this retrospective single-center analysis in 1459 patients with prostate cancer who underwent mpMRI before radical prostatectomy (in 2012-2015), the outcome of interest was 5-year BCR (two consecutive prostate-specific antigen [PSA] levels > 0.2 ng/mL [0.2 µg/L]). Patients were randomly divided into training (70%) and test (30%) sets. Kaplan-Meier plots were applied to the training set to estimate survival probabilities. Multivariable Cox regression models were used to test the relationship between BCR and different sets of exploratory variables. The C-index of the final model was calculated for the training and test sets and was compared with European Association of Urology, University of California San Francisco Cancer of the Prostate Risk Assessment, Memorial Sloan-Kettering Cancer Center, and Partin risk tools using the partial likelihood ratio test. Five risk categories were created. Results The median duration of follow-up in the whole cohort was 59 months (IQR, 32-81 months); 376 of 1459 (25.8%) patients had BCR. A multivariable Cox regression model (referred to as PIPEN, and composed of PSA density, International Society of Urological Pathology grade group, Prostate Imaging Reporting and Data System category, European Society of Urogenital Radiology extraprostatic extension score, nodes) fitted to the training data yielded a C-index of 0.74, superior to that of other predictive tools (C-index 0.70 for all models; P ≤ .01) and a median higher C-index on 500 test set replications (C-index, 0.73). Five PIPEN risk categories were identified with 5-year BCR-free survival rates of 92%, 84%, 71%, 56%, and 26% in very low-, low-, intermediate-, high-, and very high-risk patients, respectively (all P < .001). Conclusion A five-item model for predicting the risk of 5-year BCR after radical prostatectomy for prostate cancer was developed and internally verified, and five risk categories were identified. © RSNA, 2023 Supplemental material is available for this article. See also the editorial by Aguirre and Ortegón in this issue.
Subject(s)
Multiparametric Magnetic Resonance Imaging , Prostatic Neoplasms , Humans , Male , Prostate , Prostate-Specific Antigen , Prostatectomy , Prostatic Neoplasms/diagnostic imaging , Prostatic Neoplasms/surgery , Retrospective StudiesABSTRACT
PURPOSE: Radical cystectomy (RC) is the standard treatment for high-risk non muscle-invasive bladder cancer (NMIBC) failing first BCG treatment. A second BCG course is an option for those patients who refuse RC or are not eligible for it, but its success rate is quite low. Aim of the present study was to determine whether the addition of intravesical electromotive drug administration of mytomicin-C (EMDA-MMC) improved the efficacy of second BCG course. METHODS: Patients with high-risk NMIBC having failed first BCG treatment and having refused RC were offered a second BCG induction course either alone (group A) or combined with EMDA-MMC (group B). Recurrence-free survival (RFS), progression-free survival (PFS) and cancer-specific survival (CSS) were tested. RESULTS: Of the 80 evaluable patients, 44 were in group A and 36 in group B; median follow-up was 38 months. RFS was significantly worse in group A whereas there was no difference in PFS and CSS between the two groups. Stratifying by disease stage, Ta patients receiving combined treatment had statistically better RFS and PFS survival than those receiving BCG only; this difference did not apply to T1 patients. Multivariable analysis confirmed that combined treatment was a significant predictor of recurrence and was close to predict progression. No tested variable was predictive of recurrence or progression in T1 tumours. Among those who underwent RC, CSS was 61.5% in those who had progression and 100% in those who remained with NMIBC. CONCLUSION: Combined treatment improved RFS and PFS only in patients with Ta disease.
Subject(s)
Mitomycin , Urinary Bladder Neoplasms , Humans , Mitomycin/therapeutic use , BCG Vaccine/therapeutic use , Conservative Treatment , Urinary Bladder Neoplasms/drug therapy , Urinary Bladder Neoplasms/pathology , Combined Modality Therapy , Administration, Intravesical , Neoplasm Invasiveness , Adjuvants, Immunologic/therapeutic use , Neoplasm Recurrence, Local/drug therapyABSTRACT
PURPOSE: The primary aim of this study was to evaluate if exposure to 5-alpha-reductase inhibitors (5-ARIs) modifies the effect of MRI for the diagnosis of clinically significant Prostate Cancer (csPCa) (ISUP Gleason grade ≥ 2). METHODS: This study is a multicenter cohort study including patients undergoing prostate biopsy and MRI at 24 institutions between 2013 and 2022. Multivariable analysis predicting csPCa with an interaction term between 5-ARIs and PIRADS score was performed. Sensitivity, specificity, and negative (NPV) and positive (PPV) predictive values of MRI were compared in treated and untreated patients. RESULTS: 705 patients (9%) were treated with 5-ARIs [median age 69 years, Interquartile range (IQR): 65, 73; median PSA 6.3 ng/ml, IQR 4.0, 9.0; median prostate volume 53 ml, IQR 40, 72] and 6913 were 5-ARIs naïve (age 66 years, IQR 60, 71; PSA 6.5 ng/ml, IQR 4.8, 9.0; prostate volume 50 ml, IQR 37, 65). MRI showed PIRADS 1-2, 3, 4, and 5 lesions in 141 (20%), 158 (22%), 258 (37%), and 148 (21%) patients treated with 5-ARIs, and 878 (13%), 1764 (25%), 2948 (43%), and 1323 (19%) of untreated patients (p < 0.0001). No difference was found in csPCa detection rates, but diagnosis of high-grade PCa (ISUP GG ≥ 3) was higher in treated patients (23% vs 19%, p = 0.013). We did not find any evidence of interaction between PIRADS score and 5-ARIs exposure in predicting csPCa. Sensitivity, specificity, PPV, and NPV of PIRADS ≥ 3 were 94%, 29%, 46%, and 88% in treated patients and 96%, 18%, 43%, and 88% in untreated patients, respectively. CONCLUSIONS: Exposure to 5-ARIs does not affect the association of PIRADS score with csPCa. Higher rates of high-grade PCa were detected in treated patients, but most were clearly visible on MRI as PIRADS 4 and 5 lesions. TRIAL REGISTRATION: The present study was registered at ClinicalTrials.gov number: NCT05078359.
Subject(s)
Prostate-Specific Antigen , Prostatic Neoplasms , Male , Humans , Aged , Cohort Studies , 5-alpha Reductase Inhibitors/therapeutic use , Prostatic Neoplasms/diagnostic imaging , Prostatic Neoplasms/drug therapy , Magnetic Resonance Imaging/methods , Oxidoreductases , Image-Guided Biopsy/methodsABSTRACT
We retrospectively compared long-term biochemical recurrence rates (BCR) in pN1 PCa patients that underwent adjuvant radiotherapy (aRT) vs. no aRT/early salvage (esRT) after robot-assisted radical prostatectomy and extended pelvic lymphadenectomy. All PCa pN1 M0 patients treated at a single high-volume center between 2010 and 2020 were analyzed. Patients with <10 LNs yield, or >10 positive LNs, or persistently detectable PSA after RARP were excluded. Kaplan-Meier (KM) plots depicted BCR rates. Multivariable Cox regression models (MCRMs) focused on predictors of BCR. The cumulative incidence plot depicted BCR rates after propensity score (PS) matching (ratio 1:1). 220 pN1 patients were enrolled, 133 (60.4%) treated with aRT and 87 (39.6%) with no-aRT/esRT. aRT patients were older, with higher rates of postoperative ISUP grade group 4-5, and higher rates of pT3b stage. The actuarial BCR was similar (aRT 39.8% vs. no-aRT/esRT 40.2%; p=1). Median time to BCR was 62 vs. 38 months in aRT vs. no-aRT/esRT patients (p=0.001). In MCRMs, patients managed with no-aRT/esRT were associated with higher rates of BCR over time (hazard ratio [HR]: 3.27, p<0.001). ISUP grade group 5 (HR: 2.18, p<0.01) was an independent predictor of BCR. In PS-matched cumulative incidence plots, the BCR rate was significantly higher in the aRT group (76.4 vs. 40.4%; p<0.01). Patients managed with no-aRT/esRT experienced BCR approximately two years before the aRT group. Despite, the important BCR benefit after aRT, this treatment strategy is underused in daily practice.
Subject(s)
Prostate-Specific Antigen , Prostatic Neoplasms , Male , Humans , Prostatic Neoplasms/radiotherapy , Prostatic Neoplasms/surgery , Retrospective Studies , Salvage Therapy/adverse effects , Radiotherapy, Adjuvant , Prostatectomy/adverse effects , Neoplasm Recurrence, Local/surgeryABSTRACT
Dilated cardiomyopathy is a primary disease of the heart muscle, which affects relatively young patients with a low comorbidity profile. It is characterized by structural and/or functional abnormalities leading to systolic dysfunction of the left ventricle or of both ventricles, often associated with dilatation, in the absence of an ischaemic, valvular, or pressure overload cause sufficient to explain the phenotype. Although the prognosis of the disease has greatly improved over the last few decades, prognostic stratification remains a fundamental objective, especially about the prediction of potentially life-threatening arrhythmic events. An accurate diagnostic work-up and an appropriate aetiopathogenetic characterization affect the patients' outcome and represent the essential basis of an adequate prognostic stratification. It is necessary to adopt a multiparametric approach, especially when the aim is the prediction of arrhythmic risk; it includes an integration of medical history and physical examination with cardiac imaging and genetic testing, in order to obtain a personalized diagnosis and therapeutic strategies. Furthermore, the evaluation should be repeated at every clinical check-up, considering the dynamic trend of the pathology and the arrhythmic risk changes over time. This article aims to illustrate how, starting from an exhaustive aetiological and clinical-instrumental characterization, including all diagnostic methods available at present time, it is possible to obtain a tailored diagnostic evaluation and stratification of the arrhythmic risk as accurate as possible.