Lung Cancer Clinical Trials in United Kingdom

NIMBLE is a prospective study for blood biomarker study of lung nodules alongside analysing data which has been collected routinely as part of patient care. The primary aim of NIMBLE is to assess whether artificial intelligence and machine learning based radiomics approaches can be used to distinguish between benign disease and malignancy in a new lung nodule after a previously treated cancer, and where malignant to differentiate between metastatic recurrence or a new primary lung cancer. Read Less

The Manchester Lung Health Study (qUEST) will assess the uptake of a community-based lung cancer screening service and its impact across a deprived area of North and East Manchester, which has high rates of lung cancer. One measure will be to compare the number and stage of lung cancers detected through screening to those detected outside of screening. In addition we will investigate the potential of a blood and nose test to detect lung cancer or to help decide who would benefit from screening. We will also see if these samples can help with the interpretation of CT scans. One of the problems with lung cancer CT screening is that you detect lung nodules in which we are not sure if they are benign or cancerous. Therefore we are also looking to see if a biomarker can help us work out which are cancerous and which are benign. Read Less

The EMBRaCE-GM study is a multi-cohort trial designed to efficiently evaluate the range of wearable vital signs monitors that could be used to support patients during cancer treatment. The aims of the study are to determine * to determine if continuous vital signs monitoring is feasible during cancer treatment * to determine if such monitoring is acceptable to patients undergoing cancer treatment * to determine what insights could be made with the data obtained A multi-cohort study is essential because there are a huge range of vital signs monitors that could be useful and a method that allows quickly identification of the devices that are most acceptable to patients and which offer the most useful information to clinicians is needed. Similarly, the best device may vary according to the specific disease and the treatment a patient is offered. Each cohort in the study will investigate a variety of wearable vital signs monitors in different patient groups undergoing different treatments. A common data collection platform will be used for all cohorts with a modular design that allows data collection to be adapted slightly to meet specific needs for each cohort. Read Less

This is a observational study to investigate how the microbiome correlates with efficacy and toxicity of immune checkpoint inhibitors in patients with advanced cancer. Read Less

This study will assess the utility of radiomics and artificial intelligence approaches to new lung nodules in patients who have undergone radical treatment for a previous cancer. Read Less