INTRODUCTION: Pulsed Field Cryoablation (PFCA) is a dual-energy cardiac ablation modality consisting of short-duration ultra-low temperature cryoablation (ULTC) followed immediately by pulsed field ablation (PFA) delivered from the same catheter. It is hypothesized that PFCA may improve contact stability during PFA, while maintaining lesion depth and effectiveness of ULTC. METHODS: PARALELL is a first-in-human multicenter study evaluating safety and effectiveness of a novel PFCA catheter and system in patients with persistent atrial fibrillation (PsAF) using the combination of pulmonary vein (PVI) and posterior wall (PWI) isolation. RESULTS: Sixty-six patients were ablated at six sites. One groin hematoma and one intubation-related hospitalization were the only serious procedure- or device-related adverse events recorded in the study. Per protocol, acute effectiveness was evaluated in 46 patients, including 31 patients with post-hoc analysis of cryogenic energy per lesion. After an average of 21.1 ± 9.3 lesions per patient the rates of PVI and PWI were 95.7% (176/184) and 97.7% (42/43), respectively. The average cryogenic energy per patient was highly predictive of acute isolation success with ROC AUC = 0.944% and 100% rates of both PVI and PWI in 24 patients in the optimal energy cohort. Grade I microbubbles and faint muscle contractions were detected in 1.1% and 0.5% of ablations, respectively. CONCLUSION: This initial multi-center experience suggests that PFCA can be efficiently performed for PVI and PWI using a single versatile catheter system, with high acute success and good early safety profile. The evaluation of the chronic 12-month effectiveness of PFCA is ongoing.

• MeSH
• Action Potentials MeSH
• Time Factors MeSH
• Equipment Design MeSH
• Atrial Fibrillation * surgery   physiopathology   diagnosis   MeSH
• Cryosurgery * adverse effects   instrumentation   methods   MeSH
• Middle Aged MeSH
• Humans MeSH
• Risk Factors MeSH
• Aged MeSH
• Heart Rate MeSH
• Cardiac Catheters MeSH
• Pulmonary Veins * surgery   physiopathology   MeSH
• Treatment Outcome MeSH
• Check Tag
• Middle Aged MeSH
• Humans MeSH
• Male MeSH
• Aged MeSH
• Female MeSH
• Publication type
• Journal Article MeSH
• Clinical Trial MeSH
• Multicenter Study MeSH

BACKGROUND: Avoiding conization may reduce the risk of pre-term labor in future pregnancies, making conservative treatment of high-grade cervical dysplasia an increasingly discussed approach, especially for younger patients. However, data on the integration of individual predictive factors into routine clinical practice remain limited. PRIMARY OBJECTIVE: The primary objective of the Regression of High-Grade Squamous Intraepithelial Cervical Lesions and Associated Risk Factors (RECER) study is to assess the rate of spontaneous regression in high-grade cervical squamous dysplasia (cervical intraepithelial neoplasia [CIN] 2 and 3) and identify associated predictive factors within clinical practice, without necessitating conization. STUDY HYPOTHESIS: We hypothesize that the characterization of cervical lesions, including colposcopic findings and patient-specific factors, along with a sufficient rate of spontaneous regression, will aid in identifying a subgroup of patients who may derive the greatest benefit from conservative management of high-grade cervical lesions. TRIAL DESIGN: The RECER trial is a multi-center prospective cohort study. Patients with histologically confirmed high-grade squamous intraepithelial lesions (CIN 2 or 3) undergo colposcopic assessments every 4 months. Colposcopic images are compared to evaluate lesion dynamics. In case of progression, conization is indicated, whereas in case of regression, documentation of a biopsy with low-grade dysplasia (CIN 1) or no dysplasia is required. Patients with stable disease are further followed up. MAJOR INCLUSION/EXCLUSION CRITERIA: Patients aged 18 to 40 years with bioptically confirmed high-grade lesion (CIN 2 or 3), a fully visible squamo-columnar junction, and a willingness to undergo conservative management can be included. Excluded are patients with unsatisfactory colposcopy, pregnancy, glandular lesions, invasive disease, or a history of treatment for severe cervical dysplasia. PRIMARY ENDPOINT: The primary end point is the regression rate of high-grade cervical dysplasia. SAMPLE SIZE: 300 patients ESTIMATED DATES FOR COMPLETING ACCRUAL AND PRESENTING RESULTS: As of October 2024, a total of 127 patients have been recruited from 4 participating sites across 3 countries. Estimated date of last patient enrollment: September 2026; estimated date for results presentation: January 2028. TRIAL REGISTRATION: Clinicaltrials.gov: NCT06147388.

• MeSH
• Squamous Intraepithelial Lesions of the Cervix * diagnosis   pathology   MeSH
• Adult MeSH
• Uterine Cervical Dysplasia * diagnosis   pathology   MeSH
• Colposcopy MeSH
• Conization adverse effects   MeSH
• Humans MeSH
• Young Adult MeSH
• Multicenter Studies as Topic MeSH
• Uterine Cervical Neoplasms * diagnosis   pathology   prevention & control   MeSH
• Observational Studies as Topic MeSH
• Prospective Studies MeSH
• Risk Factors MeSH
• Remission, Spontaneous * MeSH
• Neoplasm Grading MeSH
• Check Tag
• Adult MeSH
• Humans MeSH
• Young Adult MeSH
• Female MeSH
• Publication type
• Journal Article MeSH
• Clinical Trial Protocol MeSH

BACKGROUND: Immune checkpoint inhibitors (ICIs) are an important therapeutic pillar in metastatic urothelial carcinoma (mUC). The occurrence of immune-related adverse events (irAEs) appears to be associated with improved outcomes in observational studies. However, these associations are likely affected by immortal time bias and do not represent causal effects. The aim of this study was to assess the effect of irAEs on outcomes while correcting for immortal time bias, using target trial emulation (TTE). METHODS: TTE was contrasted to adjusted naïve and time-updated Cox models. We performed a multi-institutional retrospective study involving mUC patients under ICI. The primary objective was to assess the impact of irAEs on progression-free survival (PFS) and overall survival (OS). Secondary endpoints included the influence of irAEs on objective response rates (ORRs) to ICI and the influence of systemic corticosteroids on outcomes. RESULTS: Among 335 patients (median age: 69 yrs), 69.6% received ICI in the second line or further lines. During a median follow-up of 21.1 months, 122 (36.4%) patients developed irAEs of any grade (grade ≥ 3: 14.9%). Hazard ratios (HRs) for PFS ranged from 0.37 for naïve adjusted Cox model to 0.88 (95% confidence interval (CI), 0.59-1.30) with time-updated covariates, and from 0.41 to 1.10 (95% CI, 0.69-1.75) for OS. TTE accounting for immortal time bias yielded a HR of 1.02 (95% CI, 0.72-1.44) for PFS, and 0.90 (95% CI, 0.62-1.30) for OS. In contrast to the naïve Cox model (HR = 2.26, 95% CI 1.26-4.05), the presence of irAEs was no longer a predictive factor for improved ORR in time-updated Cox models (HR = 1.27, 95% CI 0.68-2.36) and TTE (HR = 1.43, 95% CI 0.89-2.29). In patients with irAEs, systemic corticosteroids did not negatively impact survival. CONCLUSION: Using TTE, we were able to show that the occurrence of irAEs is no longer associated with better survival or improved response rates to ICI in mUC patients, in contrast to the naïve analysis. These findings demonstrate that TTE is a suitable formal framework to avoid immortal time bias in studies with time-dependent non-interventional exposures.

• MeSH
• Immune Checkpoint Inhibitors * adverse effects   therapeutic use   MeSH
• Carcinoma, Transitional Cell drug therapy   mortality   immunology   MeSH
• Middle Aged MeSH
• Humans MeSH
• Neoplasm Metastasis MeSH
• Urinary Bladder Neoplasms drug therapy   mortality   immunology   pathology   MeSH
• Drug-Related Side Effects and Adverse Reactions etiology   MeSH
• Retrospective Studies MeSH
• Aged, 80 and over MeSH
• Aged MeSH
• Urologic Neoplasms drug therapy   mortality   immunology   pathology   MeSH
• Check Tag
• Middle Aged MeSH
• Humans MeSH
• Male MeSH
• Aged, 80 and over MeSH
• Aged MeSH
• Female MeSH
• Publication type
• Journal Article MeSH
• Multicenter Study MeSH

Purpose: This study aims to assess whole-mount Gleason grading (GG) in prostate cancer (PCa) accurately using a multiomics machine learning (ML) model and to compare its performance with biopsy-proven GG (bxGG) assessment. Materials and Methods: A total of 146 patients with PCa recruited in a pilot study of a prospective clinical trial (NCT02659527) were retrospectively included in the side study, all of whom underwent 68Ga-PSMA-11 integrated positron emission tomography (PET) / magnetic resonance (MR) before radical prostatectomy (RP) between May 2014 and April 2020. To establish a multiomics ML model, we quantified PET radiomics features, pathway-level genomics features from whole exome sequencing, and pathomics features derived from immunohistochemical staining of 11 biomarkers. Based on the multiomics dataset, five ML models were established and validated using 100-fold Monte Carlo cross-validation. Results: Among five ML models, the random forest (RF) model performed best in terms of the area under the curve (AUC). Compared to bxGG assessment alone, the RF model was superior in terms of AUC (0.87 vs 0.75), specificity (0.72 vs 0.61), positive predictive value (0.79 vs 0.75), and accuracy (0.78 vs 0.77) and showed slightly decreased sensitivity (0.83 vs 0.89) and negative predictive value (0.80 vs 0.81). Among the feature categories, bxGG was identified as the most important feature, followed by pathomics, clinical, radiomics and genomics features. The three important individual features were bxGG, PSA staining and one intensity-related radiomics feature. Conclusion: The findings demonstrate a superior assessment of the developed multiomics-based ML model in whole-mount GG compared to the current clinical baseline of bxGG. This enables personalized patient management by identifying high-risk PCa patients for RP.

• MeSH
• Genomics methods   MeSH
• Middle Aged MeSH
• Humans MeSH
• Magnetic Resonance Imaging methods   MeSH
• Multiomics MeSH
• Prostatic Neoplasms * surgery   pathology   genetics   diagnostic imaging   MeSH
• Pilot Projects MeSH
• Positron-Emission Tomography methods   MeSH
• Prospective Studies MeSH
• Prostatectomy * methods   MeSH
• Retrospective Studies MeSH
• Aged MeSH
• Machine Learning * MeSH
• Neoplasm Grading * MeSH
• Check Tag
• Middle Aged MeSH
• Humans MeSH
• Male MeSH
• Aged MeSH
• Publication type
• Journal Article MeSH

Worldwide stroke is the second leading cause of death and the third leading cause of death and disability combined. The estimated global economic burden by stroke is over US$891 billion per year. Within three decades (1990-2019), the incidence increased by 70%, deaths by 43%, prevalence by 102%, and DALYs by 143%. Of over 100 million people affected by stroke, about 76% are ischemic stroke (IS) patients recorded worldwide. Contextually, ischemic stroke moves into particular focus of multi-professional groups including researchers, healthcare industry, economists, and policy-makers. Risk factors of ischemic stroke demonstrate sufficient space for cost-effective prevention interventions in primary (suboptimal health) and secondary (clinically manifested collateral disorders contributing to stroke risks) care. These risks are interrelated. For example, sedentary lifestyle and toxic environment both cause mitochondrial stress, systemic low-grade inflammation and accelerated ageing; inflammageing is a low-grade inflammation associated with accelerated ageing and poor stroke outcomes. Stress overload, decreased mitochondrial bioenergetics and hypomagnesaemia are associated with systemic vasospasm and ischemic lesions in heart and brain of all age groups including teenagers. Imbalanced dietary patterns poor in folate but rich in red and processed meat, refined grains, and sugary beverages are associated with hyperhomocysteinaemia, systemic inflammation, small vessel disease, and increased IS risks. Ongoing 3PM research towards vulnerable groups in the population promoted by the European Association for Predictive, Preventive and Personalised Medicine (EPMA) demonstrates promising results for the holistic patient-friendly non-invasive approach utilising tear fluid-based health risk assessment, mitochondria as a vital biosensor and AI-based multi-professional data interpretation as reported here by the EPMA expert group. Collected data demonstrate that IS-relevant risks and corresponding molecular pathways are interrelated. For examples, there is an evident overlap between molecular patterns involved in IS and diabetic retinopathy as an early indicator of IS risk in diabetic patients. Just to exemplify some of them such as the 5-aminolevulinic acid/pathway, which are also characteristic for an altered mitophagy patterns, insomnia, stress regulation and modulation of microbiota-gut-brain crosstalk. Further, ceramides are considered mediators of oxidative stress and inflammation in cardiometabolic disease, negatively affecting mitochondrial respiratory chain function and fission/fusion activity, altered sleep-wake behaviour, vascular stiffness and remodelling. Xanthine/pathway regulation is involved in mitochondrial homeostasis and stress-driven anxiety-like behaviour as well as molecular mechanisms of arterial stiffness. In order to assess individual health risks, an application of machine learning (AI tool) is essential for an accurate data interpretation performed by the multiparametric analysis. Aspects presented in the paper include the needs of young populations and elderly, personalised risk assessment in primary and secondary care, cost-efficacy, application of innovative technologies and screening programmes, advanced education measures for professionals and general population-all are essential pillars for the paradigm change from reactive medical services to 3PM in the overall IS management promoted by the EPMA.

• Publication type
• Journal Article MeSH

PURPOSE: Napabucasin is an investigational, orally administered reactive oxygen species generator bioactivated by intracellular antioxidant NAD(P)H:quinone oxidoreductase 1 that has been evaluated in various solid tumors, including metastatic colorectal cancer (mCRC). Phosphorylated signal transducer and activator of transcription 3 (pSTAT3) is hypothesized to predict response in napabucasin-treated patients with mCRC. PATIENT AND METHODS: In the multi-center, open-label, phase III CanStem303C (NCT02753127) study, adults with histologically confirmed mCRC that progressed on first-line fluoropyrimidine plus oxaliplatin ± bevacizumab were randomized to twice-daily napabucasin plus FOLFIRI (napabucasin) or FOLFIRI alone (control). The primary endpoint was overall survival (OS) in the general study population and in patients with pSTAT3-positive tumors (biomarker-positive). RESULTS: In the general study population (napabucasin, n = 624; control, n = 629), median OS was 14.3 months for napabucasin and 13.8 months for control (hazard ratio [HR], 0.976, one-sided P = .74). Overall, 44% of patients were biomarker-positive (napabucasin, n = 275; control, n = 272). In the biomarker-positive population, median OS was 13.2 months for napabucasin and 12.1 months for control (HR, 0.969; one-sided P > .99). In the control arm, median OS was shorter for biomarker-positive versus biomarker negative patients (12.1 vs. 18.5 months; HR, 1.518; nominal 2-sided P = .0002). The most common treatment-emergent adverse events (TEAEs) were diarrhea (napabucasin, 84.6%; control, 53.9%), nausea (60.5%, 50.5%), vomiting (41.2%, 29.3%), and abdominal pain (41.0%, 25.2%). Grade ≥3 TEAEs occurred in 73.8% of napabucasin-treated and 66.7% of control-treated patients, most commonly diarrhea (21.2%, 7.0%), neutrophil count decreased (13.7%, 19.2%), and neutropenia (13.3%, 15.2%). Safety was similar in biomarker-positive patients. CONCLUSION: In patients with previously treated mCRC, adding napabucasin to FOLFIRI did not improve OS. Results from the control arm indicate that pSTAT3 is an adverse prognostic factor in mCRC.

• MeSH
• Bevacizumab MeSH
• Adult MeSH
• Fluorouracil MeSH
• Camptothecin MeSH
• Colorectal Neoplasms * pathology   MeSH
• Leucovorin MeSH
• Humans MeSH
• Rectal Neoplasms * MeSH
• Colonic Neoplasms * chemically induced   MeSH
• Antineoplastic Combined Chemotherapy Protocols adverse effects   MeSH
• Check Tag
• Adult MeSH
• Humans MeSH
• Publication type
• Journal Article MeSH
• Clinical Trial, Phase III MeSH
• Research Support, Non-U.S. Gov't MeSH
• Randomized Controlled Trial MeSH

INTRODUCTION AND OBJECTIVES: To evaluate the impact of the Controlling Nutritional Status (CONUT) score on perioperative morbidity and oncological outcomes of bladder cancer (BC) patients treated with radical cystectomy (RC). MATERIALS AND METHODS: We retrospectively analyzed a multi-institutional cohort of 347 patients treated with RC for clinical-localized BC between 2005 and 2019. The CONUT-score was defined as an algorithm including serum albumin, total lymphocyte count, and cholesterol. Multivariable logistic regression analyses were performed to evaluate the ability of the CONUT-score to predict any-grade complications, major complications and 30 days readmission. Multivariable Cox' regression models were performed to evaluate the prognostic effect of the CONUT-score on recurrence-free survival (RFS), overall survival (OS), and cancer-specific survival (CSS). RESULTS: A cut-off value to discriminate between low and high CONUT-score was determined by calculating the receiver operating characteristic (ROC) curve. The area under the curve was 0.72 hence high CONUT-score was defined as ≥3 points. Overall, 112 (32.3%) patients had a high CONUT. At multivariable logistic regression analyses, high CONUT was associated with any-grade complications (OR 3.58, P = 0.001), major complications (OR 2.56, P = 0.003) and 30 days readmission (OR 2.39, P = 0.01). On multivariable Cox' regression analyses, high CONUT remained associated with worse RFS (HR 2.57, P < 0.001), OS (HR 2.37, P < 0.001) and CSS (HR 3.52, P < 0.001). CONCLUSIONS: Poor nutritional status measured by the CONUT-score is independently associated with a poorer postoperative course after RC and is predictive of worse RFS, OS, and CSS. This simple index could serve as a comprehensive personalized risk-stratification tool identifying patients who may benefit from an intensified regimen of supportive cares.

• MeSH
• Cystectomy * MeSH
• Humans MeSH
• Morbidity MeSH
• Urinary Bladder Neoplasms * surgery   MeSH
• Nutritional Status MeSH
• Prognosis MeSH
• Retrospective Studies MeSH
• Check Tag
• Humans MeSH
• Publication type
• Journal Article MeSH

Introduction: Mutations in the TP53 gene are indicative of worse outcome in bladder cancer and are usually assessed by immunohistochemistry. To define p53-overexpression, a threshold of >10% is most commonly used (cut-off1). Recently, a novel cut-off (aberrant = 0% or ≥50%) (cut-off2) showed better correlation to clinical outcome. In this study, we evaluate the association between p53-immunohistochemistry cut-offs, clinico-pathological variables and disease-specific survival (DSS). Methods: Seven-hundred-fifty chemotherapy-naïve patients who underwent radical cystectomy were included (92% muscle-invasive bladder cancer. In addition to cut-off1 and cut-off2, a third cut-off (cut-off3) was determined based on the highest Youden-index value. Cut-off values were associated with clinico-pathological variables and FGFR3 mutation status. The Kaplan-Meier method was used to estimate DSS. Results: Aberrant p53-expression was found in 489 (65%) (cut-off1) and 466 (62%) (cut-off2) tumors. Cut-off3 was determined at 25% and aberrant p53-expression in 410 cases (55%) (cutoff3). p53-expression levels were significantly associated with higher pT-stage (cut-off1/2/3: P = 0.047, P = 0.006 and P = 0.0002, respectively), higher grade (all, P < 0.0001), and FGFR3 wild-type (cut-off1: P = 0.02, cut-offs2&3: P = 0.001). Median follow-up was 5.3 years (interquartile range, 4.0-6.0 years). p53-expression was not associated with DSS for any of the three cut-offs (cut-off1/2/3: P-log-rank = 0.566, 0.77 and 0.50, respectively). If we only considered locally advanced bladder cancer, results on DSS remained non-significant. Conclusion: This multi-center, multi-laboratory study showed that, regardless of the cut-off used, p53-immunohistochemistry did not enable selection of patients with worse outcome. Our results suggest that p53-immunohistochemistry alone is not suitable to guide clinical decision making after radical cystectomy.

• MeSH
• Cystectomy MeSH
• Genes, p53 MeSH
• Immunohistochemistry MeSH
• Humans MeSH
• Tumor Suppressor Protein p53 * genetics   MeSH
• Urinary Bladder Neoplasms * diagnosis   surgery   genetics   MeSH
• Prognosis MeSH
• Retrospective Studies MeSH
• Check Tag
• Humans MeSH
• Publication type
• Journal Article MeSH
• Multicenter Study MeSH

As the current staging and grading systems are not sufficient to stratify patients for therapy and predict the outcome of the disease, there is an urgent need to understand cancer in its complexity. The mutual relationship between tumour and immune or stromal cells leads to rapid evolution and subsequent genetic and epigenetic changes. Immunoscore has been introduced as a diagnostic tool for colorectal cancer (CRC) only recently, emphasising the role of the specific tumor microenvironment in patient's prognosis and overall outcome. Despite the fact that non-coding RNAs (ncRNAs), such as microRNAs (miRNAs) and long non-coding RNAs (lncRNAs), cannot be translated into proteins, they significantly affect cell's transcriptome and translatome. miRNA binding to mRNA efficiently blocks its translation and leads to mRNA destruction. On the other hand, miRNAs can be bound by lncRNAs or circular RNAs (circRNAs), which prevents them from interfering with translation. In this way, ncRNAs create a multi-step network that regulates the cell's translatome. ncRNAs are also shed by the cell as exogenous RNAs and they are also found in exosomes, suggesting their role in intercellular communication. Hence, these mechanisms affect the tumor microenvironment as much as protein signal molecules. In this review, we provide an insight into the current knowledge of the microenvironment, lncRNAs', and miRNAs' interplay. Understanding mechanisms that underlie the evolution of a tissue as complex as a tumour is crucial for the future success in therapy.

• Publication type
• Journal Article MeSH
• Review MeSH

PURPOSE: Fluid-bed coating processes make it possible to manufacture pharmaceutical products with tuneable properties. The choice of polymer type and coating thickness provides control over the drug release characteristics, and multi-layer pellet coatings can combine several active ingredients or achieve tailored drug release profiles. However, the fluid-bed coating is a parametrically sensitive process due to the simultaneous occurrence of polymer solution spraying and solvent evaporation. Designing a robust fluid-bed coating process requires the knowledge of thin film drying kinetics, which in turn critically depends on an accurate description of concentration-dependent solvent diffusion in the polymer. METHODS: This work presents a mathematical model of thin film drying as an enabling tool for fluid-bed process design. A custom-built benchtop drying cell able to record and evaluate the drying kinetics of a chosen polymeric excipient has been constructed, validated, and used for data collection. RESULTS: A semi-empirical mathematical model combining heat transfer, mass transfer, and film thickness evolution was formulated and used for estimating the solvent diffusion coefficient and solvent distribution in the polymer layer. The combined experimental and computational methodology was then used for analysing the drying kinetics of common polymeric excipients: poly(vinylpyrrolidone) and two grades of hydroxypropyl methylcellulose. CONCLUSIONS: The experimental setup together with the mathematical model represents a valuable tool for predictive modeling of pharmaceutical coating processes.

• MeSH
• Hypromellose Derivatives MeSH
• Kinetics MeSH
• Polymers * MeSH
• Excipients * MeSH
• Solvents MeSH
• Publication type
• Journal Article MeSH