Active clinical trials for "Lung Neoplasms"

This study will evaluate the feasibility and effectiveness of urinary ctDNA detection and dynamic monitoring during treatment of NSCLC patients prospectively,by collecting and detecting tumor tissues, peripheral blood samples and urine samples of NSCLC patients.

This is a clinical study of Apatinib Mesylate Tablets combined with docetaxel monotherapy as second-line therapy of advanced EGFR wild-type, non-squamous, non-small-cell lung cancer.

This is a multicenter, observational, retrospective cohort study aimed at assessing the efficacy and safety of crizotinib in ALK positive NSCLC treated in real life setting.

This is a prospective, open label, single arm study. A total of 300 patients with primary non-small cell lung cancer treated with PD-1/PD-L1 immune checkpoint inhibitors(ICIs) are expected to included . All patients will follow up for at least 1 year. Patients with cardiac adverse reactions after PD-1/PD-L1 immune checkpoint inhibitor treatment at admission or during the subsequently follow-up period will randomly assigned a random number to each patient by computer random sequence. Patients with odd random number will treat with RASI（renin-angiotensin system inhibitors）, and those with even random number will treat with ARNI（angiotensin-receptor-neprilysin inhibitor）.

Accurate evaluation of activity status is an important part of the assessment of people with cancer. Clinician assessments currently used are valuable but have limitations; in particular, assessment only occurs when the patient attends clinic and is often subjective. Activity trackers, such as FitBits, give the opportunity to objectively assess activity status continuously, independent of clinic visits. Previous studies have shown that a reduction in 1000 steps while receiving cancer treatment is associated with an increased risk of hospitalisation but it is not known if using information from activity trackers to allow early intervention is feasible or if it can reduce admission to hospital and improve outcomes. The investigators propose a prospective feasibility study in people with advanced lung cancer or upper gastrointestinal cancers who are starting a new line of systemic anti-cancer therapy. Participants will receive a FitBit, which is a commercially available wearable activity tracker for the duration of their treatment or 4 months (whichever is shorter). Step counts will be monitored and a reduction in daily steps of >1000 from baseline will trigger contact by the study team and an ambulatory review. Participants will not receive treatment within the context of the study.

The combination of Apatinib and Camrelizumab for progressed NSCLC patients with muti-line therapy : a phaseⅠB clinical study. Brief Summary: Immunotherapy has made a major progress in Lung cancer.However, challenges such as primary and acquired resistance, small fraction of benefit population and lack of predictive and prognostic biomarkers even exist. The overall objective response rate is lower than 20% in second line-treatment and the progression-free survival (PFS) is also similar to or poorer than that of conventional second-line chemotherapy. Apatinib is a novel, orally administered, multitarget receptor tyrosine kinase inhibitor that inhibits VEGFR, PDGFR, FGFR, c-Kit, and other kinases. It functions by inhibiting tumor angiogenesis and proliferative signaling pathways. We would observe and analyze the effectiveness and safety of apatinib combined with Camrelizumab for advanced NSCLC after muti-line therapy to explore the synergistic effect of anti-angiogenic agents and immunotherapy.

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.

The purpose of the study is to assess whether lung ultrasound is able to detect lung injury after lung resection surgery.

This study aims to dynamically monitor the expression profile status of peripheral blood mononuclear cells (PBMC) and the changes in circulating tumor DNA (ctDNA) levels in patients with stage III locally advanced unresectable non-small-cell lung cancer(NSCLC) after concurrent chemoradiotherapy or sequential chemoradiotherapy, and to explore biomarkers related to the immune microenvironment and the optimal time point for immunotherapy after chemoradiotherapy.

Companion diagnosis by large-panel is in increasing acceptance and need during clinical cancer management. The purpose of this trial is to investigate the benefit of large-panel NGS analysis in companion diagnosis of advanced lung cancer patients and further optimize the parameters.