Lung Cancers

This study, the first clinical trial of AVZO-1418, aims to determine the safety, tolerability, pharmacokinetics, pharmacodynamics, maximum tolerated dose, and antitumor activity of AVZO-1418 when administered intravenously as a monotherapy and potentially in combination therapy to patients with locally advanced or metastatic epithelial solid tumors.

The goal of this observational study is to develop and evaluate a blood test for asymptomatic heavy smokers to screen for those at highest risk of developing lung cancer. The aim of this study is to develop, train, and validate a blood-based screening test designed to detect biomarkers associated with lung cancer. The study will utilize samples collected from 4 distinct cohorts. 1. Participants confirmed to have lung cancer 2. Participants without cancer 3. Participants with moderate risk of lung cancer (indeterminate) 4. Participants confirmed to have other types of cancers linked to smoking The main question this study aims to answer is whether the blood test can detect existing early-stage lung cancer in heavy smokers without symptoms and to provide insights into device performance and long-term outcomes when scans show no nodules, benign findings, or indeterminate nodules. Participants will provide blood samples at the start of the study and during follow-up visits at 12 and 24 months. Participants will share information about their smoking history, lung cancer status, and relevant medical history Researchers will collect blood samples, process them, and analyze the biomarkers at the Everest Detection laboratory. No results will be shared with participants or their doctors. The study will run for about 48 months, including a 24-month enrollment period and 24 months of follow-up to track participants' health and lung cancer outcomes.

This clinical trial compares efficacy in postoperative pain management in thoracic surgery between erector spinae block versus liposomal bupivacaine injections.

This clinical trial is an adaptive study of a novel vimentin inhibitor in cancers. It is an open label, multicentre, single ascending dose level in phase I and cohort exploration in phase II. Primary objective is to evaluate safety and tolerability of KESONOTIDE™ as a monotherapy in participants with advanced/metastatic solid cancers. Secondary objective is to characterise the pharmacokinetics of KESONOTIDE™. Phase I study will enrol 20-32 participants and Phase II approximately 80 participants.

The endoscopic investigation of lung lesions is experiencing significant growth with the increasing number of lung cancer screening programs. Peripheral endobronchial ultrasound (pEBUS) is the most widely used endoscopic technique in the investigation of peripheral pulmonary lesions (PPL). It is performed in relatively equal proportions under conscious sedation and general anesthesia by interventional pulmonologists throughout the world. Users of conscious sedation justify themselves by the fewer resources consumed and the absence of demonstration of a superior diagnostic yield of general anesthesia while users of general anesthesia claim diagnostic yield and comfort for the patient are superior with their approach. Our main objective is to compare the diagnostic yield of pEBUS under general anesthesia to that obtained under conscious sedation.

Extended Reality (XR)-Assisted CT Localization of Pulmonary Nodules

The overarching goal of the Kentucky LEADS Collaborative Lung Cancer Survivorship Care program is to reduce the burden of lung cancer by offering an innovative survivorship care approach that improves lung cancer quality of life, overcomes lung cancer stigma, and helps survivors engage with care. The project involves a two-group parallel randomized clinical trial comparing the impact of the Kentucky LEADS Collaborative Lung Cancer Survivorship Care program (KLCLCSC) among lung cancer survivors (N=300) against an enhanced usual care condition (bibliotherapy+assessment) on quality of life outcomes.

What is this study about? This study tests a new robotic technology to take tissue samples from lung nodules (small spots in the lungs). Some lung nodules are cancer, but doctors need a tissue sample to know for sure. What is the problem? Current methods to get tissue from lung nodules only work about 7 out of 10 times. When they don't work, doctors may need riskier procedures. What is the new technology? The new technology is called robotic bronchoscopy (ssRAB). It uses a robot with special sensors to guide a thin tube more accurately to lung nodules than current methods. Who can join? Adults aged 19 or older who have lung nodules that need tissue sampling and are healthy enough for the procedure. What happens? Participants will have the robotic procedure while asleep under anesthesia. The robot guides a thin tube to the lung nodule to take a small tissue sample. Participants are watched for problems and followed for 6 months. What are the risks and benefits? The new technology may be more accurate and safer than current methods. The main risks are small chance of lung collapse or bleeding, similar to regular procedures. Why is this important? This study will show if the new robotic technology works well and is safe in Korea. If successful, it could help diagnose lung cancer earlier and more accurately. This study will include 100 people at Ulsan University Hospital in Korea.

This is a pragmatic trial with patients randomized between standard of care palliative thoracic radiation therapy (RT) vs. hypofractionated, dose-escalated, esophageal-sparing (HD-ES) intensity modulated radiation therapy (IMRT). The investigators hypothesize that the use of advanced radiation planning techniques to optimize dose to esophagus will permit the safe delivery of a modestly dose-escalated five-fraction course of palliative radiation to intrathoracic malignancies. This approach aims to deliver higher biologically effective doses while improving toxicity when compared to conventional approaches with the goal of prolonging high-quality overall survival.

This is a randomized double-blind placebo-controlled phase II clinical study that included patients with symptoms such as cough, shortness of breath, and fatigue after lung cancer resection surgery. They were given orally modified Bufei Tang granules twice a day for 28 days, with one packet taken orally with water. Using the MDASI-TCM symptom scoring system, evaluate the scores of symptoms such as cough, shortness of breath, and fatigue before and after the experiment, and calculate the difference in scores between the control group and the experimental group before and after the experiment.

EXCEL will provide online and, where feasible, in-person exercise programs to individuals living with and beyond cancer (ILWBC). Research has shown that targeted programs that include tailored exercise prescriptions are more successful in helping individuals with chronic disease to incorporate physical activity and exercise into their daily routines. While ILWBC are advised by healthcare professionals (HCPs) to engage in exercise, there is a lack of cancer-specific exercise programs and cancer-trained exercise specialists in Canada, outside of the research setting. Considering the negative impact cancer and its treatments have on fitness and physical activity levels, community-based efforts towards improving access, uptake and maintenance of exercise programming are needed. This study will evaluate the benefits of a community-based or online EXCEL exercise program for people living with and beyond cancer across Canada, using a streamlined intake process compared to the original EXCEL Study (HREBA.CC-20-0098, NCT04478851). This 8 to 12-week program (intervention) will be delivered in-person or over virtual platform. It includes twice weekly supervised exercise classes.

This study was a phase I safety and tolerability clinical trial conducted in a single-center, open-label, 3+3 design with dose escalation.

This study will be an evaluation of the efficacy and safety of acupuncture to enhance the response rate of immunotherapy in advanced lung cancer. The main questions it aims to answer are 1. Does acupuncture heighten the response rate of immunotherapy in advanced lung cancer? 2. Does acupuncture heighten the safety of immunotherapy in advanced lung cancer? Researchers will compare acupuncture to sham acupuncture to see if acupuncture could enhance the response rate of immunotherapy in advanced lung cancer. Both groups will receive a standard anti-tumor Western medical treatment regimen (PD-1/PD-L1 inhibitor combined with chemotherapy), and the experimental and control groups will be treated with 4 cycles of acupuncture or sham-acupuncture on top of the anti-tumor treatment regimen, respectively. Patients were followed up every three weeks for the first three months and every three months thereafter to record any disease progression, adverse events, survival or mortality status, and so on.

A Clinical Study Based on Magnetic Resonance Imaging of the Lungs to Assess the Efficacy of Thermal Vapor Ablation and Pulmonary Nodule Ablation in Chronic Obstructive Pulmonary Disease After Surgery. The efficacy of hot steam ablation for chronic obstructive pulmonary disease was evaluated using the innovative MRI sequence PREFUL\_MRI, and the efficacy of pulmonary nodule ablation was evaluated using the innovative MRI sequence GRASP\_MRI.

The purpose of this study was to evaluate the effect of immunotherapy combined with spatial fractionation radiotherapy and low dose radiotherapy on the prognosis of patients with advanced lung cancer under specific dose regimens (spatial fractionation radiotherapy: high dose region: 800-1200cGy × 3f, low dose region: 100-300cGy × 5f; low dose radiotherapy area: 100-300cGy × 5f). Through the phase II clinical trial, to determine the efficacy and safety of the combined treatment model in advanced lung cancer and its effect on the immune microenvironment of patients, so as to provide scientific basis for the optimization of treatment regimen for advanced lung cancer.

Reality (XR)-Assisted CT-Guided Localization

Evaluate the safety of the novel FAP targeted molecular probe 18F-FAPI-YQ104 labeled with radioactive isotopes in clinical applications and verify its effectiveness in tumor diagnosis.

The circulating tumoral biomarkers in the blood are the object of numerous researches for several decades. The potential clinical interests of these circulating biomarkers are diagnostic, prognostic, predictive of the efficiency of targeted therapies (according to the mutational profile of the cancer), and could allow the study of the mechanisms of resistance under process. In the multiplicity of these blood potential biomarkers joins a permanent evolution of the technological means used to detect them/to quantify, as well as to estimate their clinical utility.

Although modern medicine has made significant progress in the diagnosis and treatment of lung cancer, most patients are diagnosed at locally advanced stage or with distant metastases, especially in the late stages where the cancer has spread to other organs through hematogenous metastasis. This not only significantly the survival rate of patients but also increases the complexity and difficulty of treatment. Hematogenous metastasis plays an important role in the clinical progression of lung cancer, its complex biological processes pose a huge challenge for clinical management. Early detection of hematogenous metastasis is difficult, and traditional imaging methods have limited sensitivity in detecting small metastatic lesions. The emerging technology of circulating tumor cells (CTCs) has been limited in clinical application due to its high detection costs and technical requirements. Therefore researching and developing high-sensitivity, high-specificity, simple, easy-to-popularize, and low-cost technologies to predict the risk of hematogenous metastasis lung cancer is crucial for early diagnosis and more precise treatment. Raman spectroscopy (RS), a non-invasive and highly specific molecular detection technology, can detect in biomolecules such as proteins, nucleic acids, lipids, and sugars related to tumor metabolism in biological samples at the molecular level. Surface-enhanced R spectroscopy (SERS), developed based on this technology, is one of the feasible methods for high-sensitivity biomolecular analysis. Although SERS technology has shown diagnostic results in numerous preclinical studies of various tumors, it is limited by small sample sizes and lacks external validation. Therefore, clinical studies on the diagnosis of tumors Raman spectroscopy are needed, with the following requirements: 1. Objective, rapid, and practical Raman spectroscopy data processing methods are needed, and and deep learning methods may be the best classification methods; 2. Multicenter, large-sample clinical samples are needed to train deep learning diagnostic models, and real-world performance should be validated through external data from prospective studies. In previous study, the investigators collected serum Raman spectroscopy data from a cohort of 23 patients with lung malignancies and developed an intelligent Raman diagnostic system for hematogenous metastasis in non-small cell lung cancer (NSCLC) based on learning models, with an accuracy rate of 95%. To obtain the highest level of clinical evidence and truly achieve clinical translation, this prospective, multicenter clinical aims to validate the use of this intelligent diagnostic system for early diagnosis of hematogenous metastasis in NSCLC.

Health inequality and genetic disparity are a significant issue in the United Kingdom (UK). This study focuses on diseases that are associated with significant morbidity and mortality in the UK, and specifically examines the extent and basis of treatment failure in different patient populations. The vast majority of drug registration clinical trials have under-representation of ethnic minority populations. In addition, the wider Caucasian populations have reasonably different clinical characteristics to the population that participated in the drug licencing clinical trials. A consequence of this is that drugs are licensed for use in real-world general patient populations where the clinical trial results are simply not statistically significant to specifically demonstrate efficacy or safety in populations that were either absent or under-represented in the drug registration clinical trials. When these facts are considered alongside data that supports significant under-reporting of adverse events in the real-world setting within the UK (and globally, e.g the USA and Europe), it highlights that pharmacovigilance systems are unable to capture drug effectiveness and safety data in a manner that can reasonably assure appropriate prescribing in the wider patient populations. This large real-world research study aims to identify whether commonly prescribed drugs are effective in treating illnesses that cause significant poor health and death in the different patient populations that represent the UK. The goal of this study is to generate large quantitative data-sets that may inform clinical practice to reduce the existing health inequality and genetic disparity in the UK.

This is performed under Vocorder project that is Co-Funded by the European Union. (Grant Agreement 101115442 VOCORDER HORIZON EIC-2022-PATHFINDERCHALLENGE-01). The projects has 9 work packages (one dedicated to the clinical study) and 12 partners (collaborators). MITERA Hospital serves as the project Coordinator as well as the leader of the clinical study. VOCORDER aims to create a paradigm shift in healthcare monitoring by developing a portable device for continuous assessment of health through breath analysis. Our mission is to make health monitoring seamless and non-intrusive, empowering individuals and healthcare professionals with real-time data and proactive health management. Our vision is to make continuous health monitoring a part of everyday life, helping in early disease detection and management. We are on a mission to create accessible, easy-to-use technology that integrates seamlessly into daily routines. Our objective is to create a tool designed for the discreet and continuous monitoring of human health. This involves the development and implementation of a system that can consistently assess, process, and analyze human breath. The key aim is to detect early indicators of diseases, thereby facilitating timely and proactive healthcare interventions. Strategic objectives 1. Provide a solution for easy-to-use breath analysis able to monitor the health of any individual at any setting. 2. Develop and demonstrate the beyond state-of-the-art technologies needed to implement the VOCORDER breath analysis apparatus. 3. Develop a health monitoring apparatus people can easily integrate into their everyday life. Scientific and technological Objectives 1. Demonstration of QCLs and ICLs monolithically integrated arrays. 2. Integrate QCLs/ICLs arrays with MPLC components for beam combing and providing high quality beam profile. 3. Implement a detector-less sensing scheme. 4. Enable AI-based breath analysis for the identification of health conditions. 5. Implement clinical studies of VOCORDER.

Cancer poses a major public health challenge in China. Early detection can improve treatment outcomes and survival rates. In this study, we will conduct a large-scale, prospective, multi-center cohort study to evaluate the utility of AI-assisted non-contrast CT for multi-cancer screening. The study aims to enroll 1 million asymptomatic participants undergoing routine health examinations, using an AI imaging model based on non-contrast CT to detect seven cancers such as lung, liver, gastric, colorectal, esophageal, pancreatic, and breast cancers. Positive cases will be required to be referred to Shanghai Changhai Hospital for further imaging and care based on National Comprehensive Cancer Network (NCCN) and American College of Radiology (ACR) guidelines. The goal is to assess the AI model's diagnostic performance for seven cancer types, especially for early-stage, resectable tumors.