View clinical trials related to Lung Neoplasms.
Filter by:The purpose of this clinical trial is to evaluate the safety when HL301 is administered to unresectable non-small cell lung cancer patients who receive chemoradiotherapy with Paclitaxel and Carboplatin and to search for a clinically appropriate dose by evaluating the efficacy by comparing the radiation pneumonia incidence rate with the control group.
Inhibitors of programmed cell death protein 1 (PD-1) and programmed cell death ligand 1 (PD-L1) are effective therapies for metastatic NSCLC lacking sensitizing EGFR or ALK mutations. First-line combination regimens that include a PD-1 or PD-L1 inhibitor may maximize the chance of response and lead to prolonged survival. PD-L1 expression is the only validated predictive biomarker for selecting pembrolizumab treatment. However, it is far from being the ideal biomarker and its role in predicting efficacy from ICPIs remains undefined due to conflicting results from randomized clinical trials. The selection of patients most likely to benefit from immunotherapy is crucial in order to avoid exposure to potentially toxic and ineffective drugs as well as to prevent inappropriate allocation of health resources. Further studies are clearly needed to better understand the mechanism of action of immunotherapy in vivo thus allowing the identification of other predictive biomarkers. Therefore, our research team intends to explore advanced non-small cell lung cancer treated with immune checkpoint inhibitors, by combining the evaluation criteria of solid tumor efficacy evaluation criteria (RECIST1.1), clinical pathological characteristics of patients, and dynamic monitoring of peripheral blood molecular biological markers, finding the correlation with the efficacy of immunotherapy, establish a detection mode for selecting patients with clinical benefits.
The wide uptake of "liquid biopsy" diagnostics in the care of advanced cancer patients highlights the desire for improved access to tumor allowing accurate tumor genotyping (1). Genotyping of plasma cfDNA is now routine for detection of EGFR driver mutations at diagnosis of NSCLC, or for detection of the EGFR T790M mutation after TKI resistance, and is an emerging approach for the detection of other drivers (HER2 or BRAF mutations, ALK or ROS1 fusions…) (2) or the estimation of tumor mutation burden (TMB) (3). However, the most sensitive plasma genotyping platforms still have a sensitivity of only 70%-80%, such that a negative result requires tissue biopsy confirmation.
The purpose of this study is to to explore the efficacy and safety of PD-1 immune check point inhibitor, sintilimab, in biomarker-selected subjects with advanced or metastatic Non-small Cell Lung Cancer who have failed from standard front-line treatment.
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.)
Almonertinib Plus Pemetrexed and Carboplatin Versus Almonertinib Alone in Advanced NSCLC With EGFR T790M After First- or Second-generation TKIs Therapy: a Randomized, Controlled, Open-label, Phase 2 Study
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.
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.
This study is a single center, single arm, open study design. The main purpose of this study is to evaluate the tolerance and efficacy of SHR1701 with synchronous radiotherapy in patients with metastatic non-small cell lung cancer who have failed after systematic treatment. Large fraction radiotherapy is given to all lesions as much as possible, and low-dose radiotherapy is given to the lesions that cannot be tolerated or have no obvious benefit.
This is a Phase 2 study to evaluate the efficacy and the safety/ tolerability of Almonertinib in NSCLC patients with uncommon EGFR Mutation or EGFR exon 20 insertion mutations. Patients with EGFR exon 20 insertion mutations have to had at least one prior systemic treatment for locally advanced or metastatic NSCLC.