View clinical trials related to Lung Cancer.
Filter by:The ipilimumab and nivolumab combination is now part of the standard of care for the treatment of melanoma, renal and lung cancer patients. Grade 3/4 adverse events (AEs) occur in 30 to 60% of patients included in clinical trials. Grade 3/4 AEs are more frequently observed (50-60% of patients) in melanoma because ipilimumab is administrated at 3mg/kg in this population. Among these AEs, early detection of immune related AEs is critical to an adequate medical management. In this context, dedicated tools for remote monitoring of these patients are crucial. The investigators developed within the Immucare consortium a simplified medical questionnaire which is addressed weekly to the patients. This questionnaire along with an algorithm gives to the clinician regular feedback on their patients' general symptoms. The investigators herein want to evaluate in a randomized prospective trial the efficacy of this remote monitoring to reduce the time between the start of AE and the reporting to the medical team, which could lead to detect and treat earlier AEs induced by nivolumab and ipilimumab in the melanoma, lung and renal cancer patients' population.
This is a trial-specific (NCT03705403) decision aid (tPDA) for stage IV NSCLC patients that might want to participate. We want to investigate if a tPDA would be (significantly) helpful for these patients in making a decision. ImmunoSABR has a complex study design, we expect that the patients get a better overview of the trial via the tPDA because you can bring multiple tools together. (text, video, questions, pictures, timelines, etc.)
This is a single-arm, prospective, interventional study in cancer survivors and patients to examine the feasibility of a mobile health application, Elly (Elly Health Inc.), to reduce levels of anxiety, stress, loneliness, and social isolation. Participants will be given access to the Elly phone application developed by Elly Health Inc. and will be asked to complete questionnaires measuring quality of life at multiple timepoints during the study.
In this study, about 200 pure GGO in women preparing for pregnancy will be included for a 5-year follow-up. The aim of this study is to elucidate the biological nature of pulmonary GGO lesion in women preparing for pregnancy and provide evidence for GGO treatment.
This study designed to assess the efficacy of osimertinib (80 mg, orally, once daily) to suppress the progression of remaining GGN(s) in other lobes following surgical resection for actionable EGFR mutation-positive stage I lung adenocarcinoma.
Patient-reported outcome measures (PROMs) is an umbrella term that refers to any report on a health status measure that is reported directly by the patient, without the influence of clinicians or anyone else. PROMs have been shown to more closely reflect a patient's daily health status when compared to physician-reported measures. However, research is needed to evaluate if patient symptom reporting during definitive-intent radiotherapy allows earlier and improved detection of treatment toxicity. The IMPROVE pilot study will describe the proportion of patients with cancer with changes in physician-perception of treatment-related toxicity that result from routine physician review of PROMs reported during definitive radiotherapy.
This Phase 1/2 study will assess the safety, tolerability, and efficacy of multiple dose levels of PC14586 (INN: rezatapopt) alone (monotherapy) and in combination with pembrolizumab in participants with advanced solid tumors containing a TP53 Y220C mutation.
In this clinical trial we want to investigate the clinical benefit of a complementary therapy using therapeutical modalities of the traditional chinese medicine in patients suffering from advanced cancer.
Low-dose CT Screening has been shown in two large trials in the United States (NLST) and Europe (NELSON) to increase overall survival in subjects 55 years of age and older with a strong smoking history. Unfortunately, in both North Carolina (NC) and South Carolina (SC), subjects are found to have the above referenced smoking history prior to reaching the minimum age in these studies. This study is aimed at decreasing the minimum age of screening in a high-risk population.
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.