View clinical trials related to Lung Cancer.
Filter by:Novel treatment modalities like targeted therapies and Immune checkpoint inhibitors have revolutionised the therapeutic landscape in oncology and hematology, significantly improving outcomes even in clinical contexts in which little improvement had been observed for decades such as metastatic melanoma, lung cancer, and lymphoproliferative neoplasms such as chronic lymphoid leukemia or Hodgkin lymphoma. However, major issues remain unsolved, given the frequent occurrence of primary or secondary resistance and the still incomplete understanding of the physiopathology of adverse events, which represent a major cause of morbidity and treatment interruption and often remain difficult to treat and diagnose. In this complex landscape, identifying the best treatment option for each patient remains challenging. For both targeted therapies and Immune checkpoint inhibitors, several biomarkers have been reported, but their implementation in clinical practice is still uncommon, and most of the decision-making process remains based on purely clinical considerations or constraints dictated by the regulatory bodies. Obstacles to biomarker-driven decision making are manifold and include insufficient understanding of the underlying biology, lack of strong evidence on their predictive power and limited tumor sampling, which may be circumvented by non-invasive techniques such as liquid biopsies.
Eligibility criteria for cancer drug trials are generally too stringent, leading to key issues such as low enrolment rates and lack of population diversity. In order to evaluate the REC of NSCLC drug trials, this study will use deep learning methods to construct a structured real-world database of NSCLC across dimensions, and quantitatively assess the independent contribution of changes in each eligibility criterion to patient numbers, clinical efficacy and safety.
Multi-center randomized controlled study designed to compare the diagnostic yield of ION™ Endoluminal System with electromagnetic navigation bronchoscopy in patients undergoing transbronchial sampling procedure of peripheral pulmonary nodules.
Solid tumors pose significant challenges in current therapeutic approaches. Targeted therapy has emerged as a promising avenue, aiming to enhance treatment efficacy while minimizing adverse effects. This clinical trial focuses on an innovative combination of two targeted inhibitors, Palbociclib and Bevacizumab, for their potential synergistic effects in addressing these challenging malignancies. Moreover, this study incorporates a molecular approach by considering Long Non-Coding RNAs (LncRNAs) as biomarkers. Initiating with a focus on colorectal cancer, the study aims to expand its scope to other solid tumors, including lung, breast, ovarian and other cancers. Palbociclib, a cyclin-dependent kinase 4/6 (CDK4/6) inhibitor, disrupts the cell cycle progression, particularly in cancer cells with specific molecular characteristics. Bevacizumab, a vascular endothelial growth factor (VEGF) inhibitor, targets angiogenesis-a critical process for tumor growth and metastasis. The rationale behind combining these agents lies in their complementary mechanisms of action, potentially leading to enhanced antitumor effects. LncRNAs have shown promise in predicting treatment response and prognosis in various cancers, providing an additional layer of precision to the treatment strategy. By elucidating the molecular basis through LncRNA analysis, the trial aims to tailor the treatment to the specific molecular profile of each patient, ultimately striving for better outcomes and improved survival rates. This novel combination therapy, coupled with a personalized biomarker-driven approach, represents a cutting-edge strategy in the pursuit of more effective and individualized treatment for solid tumors.
Robotic surgical systems have become a promising surgical assistance system, with unique advantages such as 3D high-definition visual system, highly flexible wrist-jointed instruments, and automatic fitering of hand tremors. Robotic surgical systems is applied in various fields including urology, general surgery, cardiothoracic surgery, head and neck surgery, and gynecology. Currently, the Da Vinci surgical robot system is the most widely used robot system globally. However, the Da Vinci robot system for single-port laparoscopic surgery has not yet been launched in China. Therefore, the investigators conduct a prespective, single-center study to evaluate the efficacy and safety of single-port surgical robot system in thoracic surgery.
The study aims to develop a deep learning-based diagnostic method for lung cancer using the oral microbiome. This innovative approach involves establishing an observational cohort of 576 individuals, including lung cancer patients, non-cancerous benign lung disease patients, and healthy controls, to collect tongue swab samples for 16S rRNA sequencing. Additionally, an international cohort of approximately 1700 individuals will be formed using in silico data. The project will utilize deep learning methods to analyze all data integratively and develop an AI diagnostic algorithm capable of distinguishing lung cancer patients from others. The diagnostic method's performance will be tested in a pilot clinical trial with 96 individuals using a PRoBE design. Led by experts in chest surgery, molecular microbiology, and bioinformatics, the project spans over 30 months and aims to create a non-invasive, easily accessible lung cancer screening method that could lead to significant diagnostic advancements and potential spin-off companies in the field of liquid biopsy/molecular diagnosis.
Predicting relapse and overall survival in potentially resectable Stage IIIA-IIIB Non-small Cell Lung Cancer (NSCLC) patients remains challenging. It is now widely recognized that patients with detectable MRD have a worse prognosis than those with undetectable MRD. Therefore, investigators performed this prospective clinical trial to evaluate the predictive value of MRD with increased risk of relapse and improves prediction of outcome in potentially resectable Stage IIIA-IIIB NSCLC with neoadjuvant chemoimmunotherapy. In this study, investigators will pay more attention to the long-term follow-up time and dynamic monitoring of MRD. The predictive value of MRD with Disease-free survival (DFS) rate was observed as the primary endpoint. Besides that, the correlation of MRD with major pathologic response (MPR) rate, pathologic complete response (pCR) rate，event-free survival(EFS) rate and overall survival (OS) were observed as the second endpoints. Investigators hope it will provide a new insight for these potentially resectable Stage IIA-IIIB NSCLC with neoadjuvant chemoimmunotherapy.
This research aims to develop an innovative photodynamic therapy (PDT) for peripheral lung tumors. Current treatments involve surgery, chemotherapy, and radiation. Photodynamic therapy, using light and photosensitizing drugs, is promising but has limitations. Our team proposes using Lipiodol, a contrast agent, instilled into the trachea via bronchoscopy, surrounding the tumor. Preliminary pig model trials showed safety. Clinical trials, building on a U.S. study (NCT02916745), commenced in October 2021, treating three cases. Initial results suggest safety, but efficacy requires further investigation. Based on ongoing trials, we propose a phase I trial with multiple light treatments from different directions and an additional dose after 48 hours to assess safety and efficacy. This study will guide future clinical trials for optimal PDT dosage.
For patients with lung cancer who have undergone tumor resection, early relapse significantly impacts survival. However, there are currently no reliable screening or imaging tools available to identify patients at risk of early relapse. To address this clinical challenge, many studies have focused on understanding the clinicopathologic characteristics associated with an increased risk of early relapse. Despite these efforts, we can identify patients at risk but cannot pinpoint which individuals will actually experience early relapse. Studies on adjuvant therapy have shown improved survival in cases of more advanced disease but have not demonstrated a reduction in early relapse rates. In our preliminary analysis of previous study data, we observed that patients with a smaller reduction in circulating tumor cells (CTCs) within the first three days after surgery, followed by an increase on the third-day post-operation, are more likely to experience early relapse during regular monitoring. This pattern may be indicative of minimal residual disease. By combining trends in circulating tumor cell variations with pathologic characteristics, we aim to select patients for adjuvant therapy who are at high risk of developing early relapse. The objective of our study is to employ screening based on circulating tumor cell dynamics and pathologic features to identify patients likely to experience early relapse and to assess the effectiveness of adjuvant therapy in these cases.
CONQUER cancer study: To collect blood samples from cancer and non-cancer participants for development and validation of the 'OncoSweep Cancer Spotlight and Spectrum Product Line'