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Lung Cancer clinical trials

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NCT ID: NCT06329908 Recruiting - Lung Cancer Clinical Trials

DC Combined With ICIs in the Treatment of Advanced Lung Cancer Resistant to ICIs

Start date: September 27, 2023
Phase: Early Phase 1
Study type: Interventional

This is a single-center, single-arm, prospective clinical trial to investigate the safety and efficacy of Neo-DCVac combined with ICIs in the treatment of advanced lung cancer resistant to ICIs.

NCT ID: NCT06327594 Recruiting - Lung Cancer Clinical Trials

Assessment System of Sarcopenia in Lung Cancer Patients

Start date: November 1, 2023
Phase:
Study type: Observational

1. To explore the diagnostic value of musculoskeletal cross-modal imaging assessment system of ultrasound combined with abdominal CT/MRI for sarcopenia in patients with lung cancer. 2. To explore the value of musculoskeletal cross-modal imaging assessment system of ultrasound combined with abdominal CT/MRI in evaluating the prognosis and the effect of nutritional support in patients with lung cancer during perioperative period. 3. To explore the value of musculoskeletal cross-modal imaging assessment system of ultrasound combined with abdominal CT/MRI in evaluating the long-term prognosis of patients with lung cancer.

NCT ID: NCT06327074 Recruiting - Lung Cancer Clinical Trials

Testing the Engaged Approach to Lung Cancer Screening

Start date: March 11, 2024
Phase: N/A
Study type: Interventional

The goal of this study is to assess feasibility and acceptability of the Engaged Approach to Lung Cancer Screening (EA-LCS) in diverse lung cancer screening (LCS) programs operating in a variety of geographic regions across Colorado and the US.

NCT ID: NCT06321640 Recruiting - Breast Cancer Clinical Trials

Study for the Multidimensional Analyses of Resistance and Toxicity to Immune- and Targeted-therapies.

POSITive
Start date: July 8, 2022
Phase:
Study type: Observational

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.

NCT ID: NCT06314542 Recruiting - Lung Cancer Clinical Trials

Quantitative Evaluation of the Impact of Relaxing Eligibility Criteria for Lung Cancer Based on Real-world Data

Start date: January 1, 2013
Phase:
Study type: Observational

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.

NCT ID: NCT06307249 Recruiting - Breast Cancer Clinical Trials

Precision Therapy for Solid Tumors: Synergistic CDK4/6 Inhibition and Anti-VEGF Targeting LncRNA

PTST_PALBEVA
Start date: February 15, 2023
Phase: Phase 1
Study type: Interventional

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.

NCT ID: NCT06292052 Recruiting - Lung Cancer Clinical Trials

Relation Between Tumor-draining Lymph Nodes Metastasis Pattern and Non-small Cell Lung Cancer Neoadjuvant Immunotherapy Effectiveness

Start date: January 1, 2017
Phase:
Study type: Observational

The goal of this retrospective cohort analysis is to discover the impact of the involvement extent of tumor-draining lymph nodes (TDLNs) in patients who received neoadjuvant immunochemotherapy. The main question it aims to answer is the role of TDLN in the prediction of treatment effectiveness. Researches will compare tumor-draining lymph nodes metastasis (mTDLNs) group and non-draining lymph nodes metastasis (mNDLNs) group to see whether different metastatic patterns of mediastinal lymph nodes can indicate the treatment effectiveness.

NCT ID: NCT06288646 Recruiting - Lung Cancer Clinical Trials

Using Infrared Spectroscopy to Analyze Volatile Organic Compounds (VOCs) in the Breath of Patients With Lung Cancer

Start date: April 24, 2023
Phase:
Study type: Observational

The goal of this clinical trial is to compare breath samples from patients with lung cancer, those with stable lung nodules, and individuals without lung cancer. The main questions it aims to answer are whether breath patterns are different in these groups and to see if breath patterns change after treatment in patients with lung cancer. Participants will be asked to provide one breath sample, and two if they get treated. They will also be asked to fill out a questionnaire about their background and medical history.

NCT ID: NCT06286150 Recruiting - Lung Cancer Clinical Trials

Efficacy and Safety of Single-port Surgical Robot System in Thoraic Surgery

Start date: September 15, 2023
Phase: N/A
Study type: Interventional

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.

NCT ID: NCT06270992 Recruiting - Lung Cancer Clinical Trials

Oral Microbiome Diagnostics of Lung Cancer

Start date: November 15, 2023
Phase:
Study type: Observational [Patient Registry]

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.