View clinical trials related to Lung Cancer.
Filter by:The goal of this study is to assess feasibility and acceptability of the Engaged Approach to Lung Cancer Screening (EA-LCS) in diverse lung cancer screening (LCS) programs operating in a variety of geographic regions across Colorado and the US.
Background: Some health conditions make breathing difficult and uncomfortable. When this happens every day, it is called chronic breathlessness. Over 3 million people living with heart and lung disease have chronic breathlessness in the UK. Breathlessness is very difficult for patients themselves and their families, resulting in disability and feelings of fear, distress, and isolation. Due a to lack of supportive breathlessness services many patients frequently attend hospital Accident and Emergency (A&E) departments seeking help. Given the on-going challenges faced by the National Health Service (NHS) in the United Kingdom, such as long waiting times, staff shortages, increased demand for services because of the COVID-19 pandemic, there is an urgent need to develop new ways to support those living with chronic breathlessness. One potential solution is to offer support online, as it is estimated that in the UK, 7 out of every 10 people with chronic breathlessness are internet users. With the help of patients and NIHR funding the research team lead by Dr Charles Reilly, developed an online breathlessness supportive website called SELF-BREATHE. SELF-BREATHE provides information and self-management tools such as breathing exercises, that patients can do at home themselves. SELF-BREATHE has been tested as part of its development. SELF-BREATHE is acceptable and valued by patients. But what is unknown is whether SELF-BREATHE improves patients' breathlessness and their life? This is the question this research seeks to answer. Aims 1. To test if using SELF-BREATHE for six-weeks improves patients' breathlessness, their quality of life and whether SELF-BREATHE should be offered within the NHS 2. To see if patients opt to continue to use SELF-BREATHE after six-weeks and what benefits this may have for patients. Methods The research team are undertaking a randomised controlled trial. For this, 246 people living with chronic breathlessness will be recruited in to this study. Each person will be randomly chosen by a computer to continue with their usual care or their usual care plus access to SELF-BREATHE. All study participants will complete questionnaires at the start of the study, thereafter at seven and twelve weeks after randomisation. These questionnaires will ask patients about 1) their breathlessness and its effect on their life and 2) planned and unplanned hospital visits. At the end of the study, we will compare answers to these questionnaires between the two groups at seven and 12 weeks. This will tell if SELF-BREATHE improved patients' breathlessness and reduced their need for unplanned hospital visits e.g., A&E attendances due to breathlessness.
This study plans to conduct ctDNA testing on EGFR mutation-positive stage II-IIIA (N1-N2) NSCLC patients after radical surgery (R0 resection). Patients with positive ctDNA testing will receive standard treatment according to clinical guidelines, while patients with negative ctDNA testing will be assessed based on comprehensive clinical and pathological characteristics. After receiving or not receiving standard adjuvant chemotherapy, patients will be randomly assigned in a 1:1 ratio to either the observation follow-up group (experimental group) or the osimertinib adjuvant treatment group (control group). The aim is to explore whether observation follow-up for patients with negative ctDNA after surgery has a prognosis non-inferior to osimertinib treatment, and to investigate the disease-free survival rate of EGFR mutation-positive stage II-IIIA (N1-N2) NSCLC patients with positive ctDNA after surgery receiving osimertinib adjuvant treatment, providing more precise treatment guidance for adjuvant therapy in this specific type of NSCLC patients with EGFR mutation-positive tumors.
Novel treatment modalities like targeted therapies and Immune checkpoint inhibitors have revolutionised the therapeutic landscape in oncology and hematology, significantly improving outcomes even in clinical contexts in which little improvement had been observed for decades such as metastatic melanoma, lung cancer, and lymphoproliferative neoplasms such as chronic lymphoid leukemia or Hodgkin lymphoma. However, major issues remain unsolved, given the frequent occurrence of primary or secondary resistance and the still incomplete understanding of the physiopathology of adverse events, which represent a major cause of morbidity and treatment interruption and often remain difficult to treat and diagnose. In this complex landscape, identifying the best treatment option for each patient remains challenging. For both targeted therapies and Immune checkpoint inhibitors, several biomarkers have been reported, but their implementation in clinical practice is still uncommon, and most of the decision-making process remains based on purely clinical considerations or constraints dictated by the regulatory bodies. Obstacles to biomarker-driven decision making are manifold and include insufficient understanding of the underlying biology, lack of strong evidence on their predictive power and limited tumor sampling, which may be circumvented by non-invasive techniques such as liquid biopsies.
The purpose of this study is to learn about dacomitinib for the possible treatment of lung cancer. This study is seeking participants who: - have lung cancer that could not be controlled. - have a type of gene called epidermoid growth factor receptor. A gene is a part of your DNA that has instructions for making things your body needs to work. - have received dacomitinib for their lung cancer. All participants in this study had received dacomitinib. Dacomitinib is a tablet that is taken by mouth at home. They continued to take dacomitnib until their cancer was no longer responding. The study will look at the experiences of people receiving the study medicine. This will help to see if the study medicine is safe and effective.
Low-dose computed tomography (LDCT) lung cancer (LC) screening can reduce mortality among heavy smokers, but there is a critical need to better identify people at higher risk and to reduce harms related to management of benign nodules. The most promising strategy is to combine novel tools to optimize clinical decisions and increase the benefit of screening. In this respect, the investigators already demonstrated that the combination of baseline LDCT features with a minimal invasive microRNA blood test was able to more precisely estimate the individual risk of developing LC. The investigators posit that additional immune-related and radiologic features can be integrated with the help of artificial intelligence (AI) to further implement LDCT screening strategies. The project will answer whether the combination of (bio)markers of different origin can predict LC development at baseline and over time, indicate which screen-detected lung nodules are likely to be malignant and ultimately reduce LC and all cause mortality.
Eligibility criteria for cancer drug trials are generally too stringent, leading to key issues such as low enrolment rates and lack of population diversity. In order to evaluate the REC of NSCLC drug trials, this study will use deep learning methods to construct a structured real-world database of NSCLC across dimensions, and quantitatively assess the independent contribution of changes in each eligibility criterion to patient numbers, clinical efficacy and safety.
Multi-center randomized controlled study designed to compare the diagnostic yield of ION™ Endoluminal System with electromagnetic navigation bronchoscopy in patients undergoing transbronchial sampling procedure of peripheral pulmonary nodules.
Solid tumors pose significant challenges in current therapeutic approaches. Targeted therapy has emerged as a promising avenue, aiming to enhance treatment efficacy while minimizing adverse effects. This clinical trial focuses on an innovative combination of two targeted inhibitors, Palbociclib and Bevacizumab, for their potential synergistic effects in addressing these challenging malignancies. Moreover, this study incorporates a molecular approach by considering Long Non-Coding RNAs (LncRNAs) as biomarkers. Initiating with a focus on colorectal cancer, the study aims to expand its scope to other solid tumors, including lung, breast, ovarian and other cancers. Palbociclib, a cyclin-dependent kinase 4/6 (CDK4/6) inhibitor, disrupts the cell cycle progression, particularly in cancer cells with specific molecular characteristics. Bevacizumab, a vascular endothelial growth factor (VEGF) inhibitor, targets angiogenesis-a critical process for tumor growth and metastasis. The rationale behind combining these agents lies in their complementary mechanisms of action, potentially leading to enhanced antitumor effects. LncRNAs have shown promise in predicting treatment response and prognosis in various cancers, providing an additional layer of precision to the treatment strategy. By elucidating the molecular basis through LncRNA analysis, the trial aims to tailor the treatment to the specific molecular profile of each patient, ultimately striving for better outcomes and improved survival rates. This novel combination therapy, coupled with a personalized biomarker-driven approach, represents a cutting-edge strategy in the pursuit of more effective and individualized treatment for solid tumors.
This is a single center, clinical trial evaluating the relevance of intratumoral washing for detection of generic alteration with Next Generation Sequencing.