View clinical trials related to Lung Neoplasms.
Filter by:Background: Evidence supports exercise and nutrition as beneficial for enhancing QOL in earlier stages of lung cancer; however, there is minimal research of either intervention - and none with combined interventions - in advanced lung cancer patients. In addition to a multimodal intervention approach that includes nutrition and exercise, consideration of advanced cancer care symptom management is crucial for optimizing the potential benefits of either intervention. Objectives: Primary outcome measure of this study is feasibility, including recruitment (% who participate from those eligible), attendance (weekly group class), assessment completion, safety (adverse event reporting), attrition rates, and qualitative themes generated from one-on-one participant interviews. The secondary outcome to be measured is the impact of the intervention on PROs, including QOL, fatigue and symptom burden, as well as self-reported physical activity levels and physical function assessed in-person. Methods: The proposed exercise intervention will include a centre-based group exercise program plus home-based exercises, and behaviour change support for advanced non-small cell lung cancer (NSCLC) patients, classified as stage III or IV with self-reported symptom burden. Eligible participants must be cleared by the health care professionals (HCP) to engage in mild to moderate levels of physical activity (PA). Using a prospective, mixed-methods design (supported by the Medical Research Council guidance for the evaluation of complex interventions), the quantitative component of this pilot study will measure feasibility and exploratory outcome measures, with an embedded qualitative component to examine participant perspectives about study tolerability/feasibility of the intervention. A subset of participants and instructors will be recruited for qualitative interviews using purposive sampling to achieve maximum variation based on factors that may lead to different viewpoints (e.g., age, gender, lung cancer type/stage, treatment). Relevance: The proposed work will inform the design of a future pragmatic trial for this population. The goal is to build a patient-focused model of care that delivers wellness resources for advanced lung cancer care that will ultimately improve the patients' health and QOL. This approach is novel, patient-focused, and will build a tailored approach within existing resources to deliver optimal care.
This study is an uncontrolled, primary data collection-based observational study to be conducted as a central registration system, multicenter special drug-use results surveillance. As an all-case study, this study will collect all patients treated with Tabrecta in a specified post-marketing period. The observation period of each patient is up to 1 year (52 weeks)
Lung cancer is the most common type of cancer in my country, but the 5-year survival time of lung cancer patients is only 17%. Among them, the biggest reason that affects the patient's prognosis is the metastasis of the tumor. There are very few clinical methods suitable for the treatment of metastatic lung cancer, and the curative effect is not good. Therefore, early monitoring and interventions to prevent distant colonization of metastases are the key to improving the survival of lung cancer. The preliminary research of this project found that circulating tumor cells in peripheral blood can be used as an effective means for clinical diagnosis and treatment of lung malignant tumors. Through the analysis of the difference in time and space metastasis of lung cancer patients, it is found that the genomes of different metastasis stages and metastatic organs of lung cancer are quite different , And is closely related to the patient's survival. For this reason, we propose the hypothesis that the genomic mutation characteristics of circulating tumor cells can detect tumor metastasis signals earlier than CT imaging diagnosis. To test this hypothesis, we will develop a cancer metastasis risk assessment system based on tumor genomics. First, we collect big data on the genome of primary and metastatic lung cancer from public databases, and use statistical methods to screen out genomic features that are significantly related to metastatic lung cancer and its metastatic colonization organs. Secondly, using these features to develop a set of machine learning models that can determine the risk of metastasis of a lung cancer based on its genome features. Finally, we applied the model to clinical practice. By detecting the circulating tumor cells of patients with primary lung cancer during the reexamination, we established a statistical noise reduction model to extract the genomic characteristics, and then substituted into the model to determine the circulating tumor cells carried by the patient Whether there is a risk of recurrence and metastasis. By comparing the imaging data in the review, we will verify whether the model detects early metastasis signals of lung cancer earlier than imaging methods. Ultimately, our model will aggregate genomic markers related to metastasis risk, explore their drug targeting, and provide powerful big data analysis support for early intervention in metastasis colonization and prolonging the survival of lung cancer patients. If the topic is demonstrated, it will help to clarify the use of tumor genome big data analysis to reveal the genomic driver mutations of metastatic lung cancer; demonstrate the feasibility of circulating tumor cell genome driver mutations to predict the risk of lung cancer metastasis; and finally clarify the PI3K/Akt/mTOR signal Can inhibitors of the pathway be used as a target for early intervention in lung cancer metastasis.
In this study, providing access to physiotherapy applications by telerehabilitation method and the effectiveness of this application will be examined for patients who have undergone lung surgery in the early postoperative period during the pandemic process in which social isolation continues.
The purpose of this study is to investigate the feasibility of using ctDNA to support cancer diagnosis and risk stratification where invasive aerosol generating testing (and/or tissue biopsy) is challenging due to infection risk, technical impracticalities and resource limitations, such as during the COVID-19 pandemic and the subsequent recovery period.
To evaluate the predictive value of ctDNA in response, relapse for patients treated with immune checkpoint inhibitors or targeted therapy for ALK, ROS1, MET ex14 skipping.
This is an open-label, randomised, two-arm, phase III, multi-centre clinical trial. 210 stage IB-IIIA, completely resected, non-small cell lung cancer patients will be enrolled in this trial to evaluate the disease free survival between experimental arm (Adjuvant Chemotherapy-Immunotherapy + maintenance adjuvant Immunotherapy) and control arm (Adjuvant Chemotherapy)
This will be a Phase II, open-label, single-arm, multicenter study of the efficacy and safety of osimertinib (80 mg orally once daily) in patients with LM associated with EGFRm+ NSCLC.
This study is being done to look at how effective the drug, atezolizumab, with or without the drug bevacizumab, is for people with inoperable liver cancer or non-small lung cancer that has spread to the liver. This will be done by looking at the duration of time from starting the study drug(s) until the cancer worsens in study participants. This study will collect blood and tumor tissue samples from participants to look at changes to their tumor(s) before and after receiving atezolizumab and/or bevacizumab.
This study is a one arm, open, single center phase II study. The main purpose of this study was to evaluate the tolerance and preliminary efficacy of shr1316 combined with chest radiotherapy after induction therapy.