View clinical trials related to Lung Cancer.
Filter by: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.
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.
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.
1. Evaluate the feasibility of single cell sequencing technology based on three-dimensional bionic capture network; 2. To build a risk prediction model of bone related events based on single cell sequencing; 3. To verify the risk prediction model of bone related events by single cell sequencing; 4. To verify the comprehensive treatment of non-small cell lung cancer ( NSCLC) bone metastases.
This study represents a survivorship protocol that focuses on cognition and health-related quality of life (HRQoL) in cancer patients that have received prior brain irradiation. The primary purpose of this study is to assess the feasibility of using a digital symptom tracking application focused on HRQoL and cognition in cancer survivors who received brain irradiation.
Lung cancer is the most common cancer with the highest morbidity and mortality in the world. Stagement is closely related to the 5 years of survival rate of patients. The postoperative 5-year survival rate is above 90% for stage ⅠA lung cancer patients, while the 5-year survival rate of stage IV lung cancer patients is less than 5%. Therefore, early screening and diagnosis for lung cancer is a key method to reduce lung cancer mortality and prolong survival for patients. At present, low-dose computed tomography (LDCT) is the most effective method for early detection of lung cancer. In addition to imaging examination, plasma tumor markers detection is also a common clinical detection method for tumor screening and postoperative monitoring. Liquid biopsy is a non-invasive or minimally invasive method for testing blood or other liquid samples to analyze tumor-related markers including nucleic acids and proteins. Several studies have explored the detection of hot spot gene mutations, methylation and methylation changes of DNA, protein markers and autoantibodies in peripheral blood in lung cancer patients. Liquid biopsy has generally become the most popular field for early diagnosis of lung cancer. Based above, it is necessary to combine multi-omics methods to improve the detection of early stage lung cancer. In our study, we intend to integrate molecular features obtained through liquid biopsy and clinical data of lung cancer patients, and develop and prospectively validate a machine-learning method which can robustly discriminate early-stage lung cancer patients from controls.
Lung cancer is the primary cause of cancer related deaths in Denmark. In order to improve the prognosis diagnosis in earlier stages are needed. This will however require improved sampling techniques from very small lung lesions. One method involves the use of a radial ultrasound probe inserted in the working channel of the bronchoscope, to more accurately identify the lung lesions before sampling them (rEBUS). The other method involves the use of electromagnetic navigation bronchoscopy (ENB) to guide the operator to the lung lesion. This study aims to determine whether a combination of rEBUS and ENB is superior to ENB alone in biopsy sampling. The study will be conducted as a non-blinded RCT. Furthermore, we will make an estimate of the hospital costs of the entire diagnostic work up for lung cancer when combining ENB and rEBUS compared to ENB alone.
This study evaluates the viability and accuracy of preoperative mixed reality technique combined with three-dimensional printing navigational template guided localizing pulmonary small nodules.
Accessing nodules located in the most outer part of the lung is challenging. Tissue that will be removed from the lung will be used to see if we can reach and see the nodule with a very small camera. This camera that may reach in the smaller and outer airways is called a composite optical fiberscope (COF). The purpose of this study is to evaluate insertion ability of the COF and visualization of the lung tumor by the COF. In order to do so, we plan to evaluate 50 patient samples from the University Health Network over the span of 2 years.
Although there is a relatively better prognosis, the 5-year survival rate for early stage lung cancer (Stage I, II, IIIA) is still relatively low compared to those other types of cancer. These patients might suffer lots from the uncertainty and substantial disease and treatment related physical changes. The investigator aims to (1) Develop and construct the contents, related patient education materials and computerized systems of the three evidence and service-based lung cancer care programs, including (a) Control as usual care (UC+ case manager care, or Control group), and (b) Computer Assisted OPD Personalized Supportive Care Program (UC+COPSCCP or Ex group); and (2) Compare the effects of Ex and care as usual (receiving usual care and case manager care) on self-report quality of life (QOL), physical symptoms, physical function and fear of cancer recurrence (FCR) in newly diagnosed early-stage lung cancer patients. Eligible patients will be newly diagnosed early stage lung cancer patients (patients in stage I, II, & IIIA) who have received surgery. A 2-group randomized control trial (RCT) matching with cancer stages will be conducted. For the COPSCCP, patients will be intervened for 6 months from the first time during hospitalization of receiving surgery or before hospital discharge and then OPD intervention. Each patient will be followed 6 time points for 2 years (will be drop and refer to medical oncology while having recurrence, metastasis or death): baseline (pre-discharge from hospital) and 1, 3, 6, 12, and 24 months after discharge from hospital, T1-T6, respectively. The outcomes indicators will include: psychological variables, physical/disease variables, symptoms, lung function, and recurrence rate during 2 years. The estimated subjects would be 150 for each group, totally 300 subjects recruited in the beginning of the study. Results would be analyzed mainly by GEE and survival analysis. IRB approval will be received before the RCT. The investigator expects to develop and test the supportive cancer care interventions and generalize the interventions into the cancer care system after the study if prove good outcomes.