Active clinical trials for "Lung Neoplasms"

the purpose of this study is to investigate over time patients' symptom burden, caregiving burden, and patients and caregivers' need for information on patient symptom self-management at home during palliative radiotherapy(RT) for lung cancer. Repeatedly assessing burden and information needs on symptom self-management at home can help healthcare professionals to design a bespoke service and plan of care for both patients and family caregivers. In addition, I will explore psycho-social and clinical predictors of burden and information needs in patients and caregivers. These predictors can help health professionals to identify patients and caregivers at risk for distress during palliative radiotherapy for lung cancer.

This study tailors a shared decision making intervention for lung cancer screening in persons living with human immunodeficiency virus (HIV). Information collected in this study may help doctors better understand how to perform lung cancer screening in persons living with HIV, so as to enhance shared decision making in persons living with HIV.

Studies on radiation induced patients' skin lesions in interventional radiology highlighted the need for optimized and personalized patient dosimetry and adapted patient follow-up. Measurements using Gafchromic® films or thermoluminescent dosimeters have long been the only way to accurately evaluate the maximum absorbed dose to the patient skin. However as these dose measurements are tedious and expensive, they could not be systematically applicable in clinical practice. Therefore, more practical calculation methods have been developed. These software programs calculate the skin dose using dosimetric information from images DICOM header or radiation dose structured reports (RDSRs). Validation studies of these software programs are rare and when existent have many limitations. Radiation Dose Monitor (RDM from Medsquare) is a software program for archiving and monitoring of radiation dose (DACS, Dosimetry Archiving Communication System) used in routine in the investigator's hospitals. A new functionality developed in RDM allows quick estimation without in-vivo measurements of the absorbed dose to the skin of the patient. Comparing RDM calculations with in-vivo measurements will enable this software validation so that it can be used in clinical routine. Main objective: to validate RDM software for calculating patient skin dose in interventional radiology.

The primary objective of this study is to obtain de-identified, clinically characterized, whole blood specimens for use in assessing new biomarkers for the detection of neoplasms of the lung. Subjects will be men and women, 35 years of age and older, with a CT confirmed nodule measuring 6-30 mm.

Machine learn a predictive model from more than 20.000 non-small cell lung cancer patients from more than 5 health care providers from more than 5 countries.

Currently, publicly funded standard of care testing in Ontario for stage IV lung cancer patients uses individual gene tests to look for mutations in the EGFR and ALK genes. This testing broadens treatment options for patients, however there are other gene mutations with corresponding targeted treatments that are not routinely tested for. This study will evaluate the utility and added value of using a next generation sequencing (NGS) panel, the Oncomine Comprehensive Assay v3, to profile stage IV lung cancer patients.

This study aims to look at a comparison of liquid biopsy (blood sample) analysis compared with tissue biopsy in patients with advanced lung cancer

The investigators will develop a radiomics signature for immune checkpoint-induced pneumonitis in 40 patients with a pulmonary event under anti-PD1 or anti-PD-L1 (cases) and 40 patients without a pulmonary event under anti-PD1 or anti-PD-L1 (controls). On the basis of the case-control study of patients treated with anti-PD1 or anti-PD-L1, they will further optimise the model using reinforcement machine learning. The model will then be validated in 300 prospective patients.

The purpose of this study is to assess clinical utility of combined circulating tumor cell (CTC) and circulating tumor DNA (ctDNA) in the diagnosis of primary lung cancer.

Immunotherapy is probably, since the development of therapies targeting EGFR mutations or ALK rearrangement, the most attractive therapeutic perspective in the management of metastatic lung cancer. Among the compounds tested, the inhibitors of the immune checkpoint PROGRAMME DEATH 1 / PROGRAMME DEATH LIGAND 1 (PD-1/PD-L1) have been tested in numerous clinical trials with recently published positive results leading to the approval of one drug in the USA and an expanded access program for two drugs in France. PROGRAMME DEATH LIGAND 1 (PD-L1) expression by tumor cells is strongly associated with the response to such molecules so that the participation in various clinical trials is currently reserved for patients expressing this biomarker and therefore justifies a new invasive biopsy (bronchoscopic or CT-guided) representing a considerable drag on the access to these treatments. Circulating tumor cells (CTCs) isolated by Isolation by Size of Tumor Cells (ISET) offer a direct and non-invasive access to the tumor. It has already been demonstrated that molecular characterization (EGFR, ALK) on these blood samples is possible. We propose to demonstrate the feasibility of the analysis PDL-1 expression in these cells by immunocytochemistry. Myeloid-Derived Suppressor Cells (MDSCs) are immature myeloid cells that inhibit T cell functions and thus promote tumor growth. These cells frequently express PD-L1. We propose to test whether MDSCs level and its evolution during treatment with PD1 inhibitor is correlated to the response to these drugs. The main objective of this study is to demonstrate the feasibility of the analysis of PD-L1 expression on CTC