Active clinical trials for "Carcinoma"

Continuous regular monitoring of plasma EBV DNA in nasopharyngeal carcinoma (NPC) after treatment have rarely been investigated. The investigators try to analyze the long-term observational results (role in early relapse detection and impact on survival) in NPC patients after curative treatment.

This is a retrospective cohort study aiming to collect data on patients' characteristics, resource utilization, adverse events management and calculate costs attributed to current treatments of advance RCC patients who have received at least one prior VEGF-targeted therapy in Taiwan from National Health Insurance (NHI) perspective.

A prospective observational longitudinal study of 464 patients was performed between 2010 and 2015. Patients with invasive ductal carcinoma (IDC) and ductal carcinoma in situ associated to invasive ductal carcinoma (DCIS +IDC) were included and analyzed.

The aim of this study was to identify psycho-social factors associated with diagnostic delay in advanced basal cell carcinomas. Thus, the objective is to develop recommendations to better identify CBCa populations at risk, improve earlier their diagnosis and thus their care with an adequate and targeted information.

Basal cell carcinoma (BCC) is the commonest non melanoma skin cancer in the UK and its incidence is rising. The Norfolk and Norwich University Hospital Foundation Trust (NNUHFT) see and excise approximately 3,000 new cases of BCC each year. Many of these patients have a biopsy to confirm their diagnosis before being listed for surgical excision. In vivo reflectance confocal microscopy (RCM) involves using a machine which can examine the upper layers of the skin non invasively. In clinically suspicious lesions, the Investigators will use RCM prior to biopsy with the aim of demonstrating that RCM can accurately diagnose BCC. The aim of this study is to determine the feasibility and utility of using RCM for the diagnosis of BCC in the NHS setting, thereby shortening the patient pathway and effectively using limited public resources. If the Investigators' study shows that RCM can accurately diagnose BCC in these patients then this would prevent the need for biopsy as a routine in these patients.

The main purpose is to study the safety and effectiveness of atezolizumab in patients with locally advanced or metastatic urothelial carcinoma whose disease has worsened during or following platinum-containing chemotherapy, or within 12 months of receiving platinum-containing chemotherapy, either before (neoadjuvant) or after (adjuvant) surgical treatment in common clinical practice settings in Argentina.

Currently, there is a lack of knowledge on the effect of additional flushing after HIPEC on tumour platinum exposure, systemic platinum exposure and platinum concentration in drain exudate and thereby personal exposure. Therefore the investigators want to perform a study to investigate the effect of flushing after HIPEC on tumour exposure, systemic exposure and on wound exudate concentration.

The primary purpose of this study to continue follow-up of participants enrolled in the study E7080-M081-504 (NCT03663114) of lenvima capsules and to evaluate the overall survival of participants with hepatocellular carcinoma.

This pilot trial study uses a structural support program for adoption of cancer screening interventions at a rural community-based organization. Rural communities face unique barriers in implementation of evidence-based interventions due to a lack of infrastructure, community capacity, and expertise as academic and research centers are often clustered in urban areas. The support program may help a rural community-based organization select, adapt, and implement cancer prevention and control evidence-based interventions.

Objectives: To further validate the predictive efficacy of our established microRNA prediction model of HCC lymph node metastasis. To establish a precise therapeutic mode of prophylactic radiation therapy in high-risk patients with HCC with lymph node metastasis under the guidance of a microRNA prediction model.