There are about 21062 clinical studies being (or have been) conducted in Italy. The country of the clinical trial is determined by the location of where the clinical research is being studied. Most studies are often held in multiple locations & countries.
Long non-coding RNAs (lncRNAs) are a class of biomarkers of crescent interest in the hematologic and oncologic field. They do not encode proteins and can alter gene expression by acting on different steps of regulation, including DNA methylation and chromatin structure. Recent data identified recurrent somatic alterations in genes involved in DNA methylation and post-translational histone modifications in T-ALL, suggesting that epigenetic homeostasis is critically required in restraining tumor development in the T-cell lineage. Further, recent studies showed that the expression levels of specific lncRNAs correlate with the prognosis of patients with Acute Lymphoblastic Leukemia of T-cells (T-ALL). The objectives of this research project are to identify T-ALL-specific lncRNAs to be used as new diagnostic and prognostic biomarkers of disease and to explore their role on chromatin reorganization and transcriptional regulation that may lead to the onset and progression of T-ALL.
400 patients will be enrolled and divided into 3 cohorts: Cohort A: patients with high risk localized prostate cancer (PC) defined as >cT3 or PSA > 20 ng/mL or presence of ECE or SVI at mpMRI; Cohort B: patients with de novo metastatic hormone sensitive prostate cancer (mHSPC); Cohort C: patients with metastatic castration resistant prostate cancer (mCRPC) progressing on a standard treatment.
To evaluate the serum neutralizing antibody titre in cancer patients undergoing active treatment against variants (VOC) before and after the third dose of BNT162b2 COVID-19 vaccine.
This retrospective study is aimed at evaluating the levels of circulating anti-nephrin autoantibodies in patients with INS, including those with MCD/FSGS and in patients who have experienced relapse of FSGS post-transplant, compared to those of a control group of patients with nephrotic syndrome due to primary membranous nephropathy (MN).
To assess the impact of sleep quality on chronic eyes diseases
In the framework of pathophysiological trait in obstructive sleep apnea (OSA) patients, a simplified method is proposed to measure upper airway (UA) collapsibility and muscle responsiveness during wakefulness.
Type 1 diabetes mellitus (T1DM) is an autoimmune disease characterized by pancreatic beta cells destruction, resulting in insulin secretion deficit (1). Insulin therapy is essential in the therapeutical management of subjects with T1DM (1). The Diabetes Complications and Control Trial (DCCT) has showed that intensive insulin treatment was associated with a reduction in the onset of complications related to diabetes. In recent years, treatment of T1DM evolved rapidly because of the significant improvements in the use of technology (2). With the spread of continuous glucose monitoring (CGM) systems, standardized metrics, summarizing time spent within optimal glucose range (time in range - TIR), time below target glucose range (TBR) and time above target glucose range (TAR), have become commonly used metrics in clinical practice (3,4). Furthermore, glucose management indicator (GMI) estimates glycated haemoglobin from the average glucose level of CGM readings for 14 days and coefficient of variation (CV) evaluates the amplitude of glucose excursions. Advanced hybrid closed loop (AHCL) systems combine insulin pump infusion and real time CGM (rtCGM) data through an algorithm: they suspend insulin infusion if hypoglycaemia is expected and can administer automatic corrective boluses in case of hyperglycaemia (6). Different algorithms, as Model Predictive Control (MPC) or Proportional-Integral-Derivative (PID), are used by different systems available on the market and are currently used in clinical practice. Overall, AHCL are associated with improvement of glycated hemoglobin (HbA1c) and TIR opening to the possibility to gain even tighter glycemic control. The primary objective is therefore to evaluate the glycemic improvement expressed through adjunctive CGM metrics in subjects with T1DM 24 months after starting AHCL therapy
The goal of the multicentric and interdisciplinary IMAGene project is to pursue early diagnosis for Pancreatic Cancers in high-risk asymptomatic subject groups, by developing and validating a comprehensive cancer risk prediction algorithm (CRPA) as a clinical support tool to calculate a personalized risk profile. The study is a longitudinal, non-randomized exploratory clinical study. A total of 170 asymptomatic first-degree relatives of PC patients.
This is a prospective observational study to refine and validate risk stratification algorithms aimed at identifying elderly patients at higher risk of developing cardiotoxicity (us-ing risk factors and potential blood and stool biomarkers) and at assessing whether integrated patient-oriented behavioral and psychological interventions can mitigate, prevent or delay the onset of cardiotoxicity from chemotherapy.
Over the past decade, the concept of the brain as a complex network has extremely influenced the way regarding how the latter is studied (Bartolomei et al., 2017). The structure of both structural and functional networks within the brain has been related to optimal brain functioning (Duma et al., 2022). This evolution of methods and approaches of investigation has directly impacted the study of epilepsy. An early conception of focal epilepsy was that it was related to the activity of the epileptogenic zone, which was identified as the generative element of seizures. However, what was previously considered focal was found to be network alterations at various levels, thus moving from the epileptogenic zone to the concept of the epileptogenic network. Alterations in both the structural and functional network, compared with a healthy control population, have been identified in various forms of epilepsy from focal to idiopathic generalized epilepsy (Lariviere et al., 2022, Zhang et al., 2009). Often the identification and removal of the epileptogenic network, turns out to be the elective therapy in drug-resistant focal epilepsies. The process of diagnosing and defining the epileptogenic network is still debated today. One of the most widely used methods is the implantation of intracranial electrodes for electroencephalographic recording of seizures (Bartolomei et al., 2017). This methodology carries with it several, albeit controlled, risks to the patient. New noninvasive approaches are being developed seeking to integrate information from structural neuroimaging and cortical electrical activity measured by high-density electroencephalography with external electrodes (Duma et al., 2021). These new approaches also include simulative approaches that exploit individualized information such as cortex geometry and patient-specific white matter connections (Courtiol et al. 2020). Thus, starting from a simple structural and diffusion MRI, which is done in routine clinical examinations, multiple localizing hypotheses of the epileptogenic network can be tested using simulative models and then compared with the real EEG signal as validation. Of great relevance is also to understand how the structural-functional connectome relates to cognitive function in patients with epilepsy, who have a high probability of presenting impaired functioning in one or more cognitive domains.