Non-small Cell Lung Cancer and Quality of Life
Non Small Cell Lung CancerThe principal objective is to study clinical observations, symptoms and quality of life of non-small-cell lung cancer (NSCLC) patients undergoing specific non-operative treatment for cancer, including chemotherapy and radiotherapy.
DNA Chip Based Prognosis of Lung Cancer
CarcinomaNon-Small-Cell LungThe purpose of the study is to determine whether a DNA chip, designed by Medical Prognosis Institute (MPI), can provide an accurate prognosis for survival of NSCLC (adeno-, squamous and large cell lung cancer).
Molecular Assessment of Lymph Nodes in Patients With Resected (Stage I to IIIA) Non-small Cell Lung...
Lung CancerThis is a prospective study of surgically resected samples and lymph nodes of lung cancer patients. For histopathologically positive lymph nodes from a complete resection, the investigators would like to analyse tumor tissue by allelotyping and comparing these results with those observed in the primary lung tumor to establish a cartography of molecular alteration in resected lung cancer. For non histopathologically positive lymph nodes, the investigators would like to research the presence (or not) of micrometastasis by allele-specific PCR (polymerase chain reaction).
Metabolomic Analysis of Lung Cancer
CarcinomaNon-Small Cell Lung2 moreThe purpose of this study is to learn more about the metabolic properties of lung cancer cells.
Immunological Profile Changes In Patients With Advanced Non-Small Cell Lung Cancer
Non Small Cell Lung CancerNon Small Cell Lung Cancer Metastatic1 moreThis is a blood collection study being conducted to better understand and describe the immunological blood profile changes in patients with advanced non small cell lung cancer undergoing treatment with checkpoint inhibitor therapy. Blood will be collected from healthy volunteers and patients with non small cell lung cancer
Study to Evaluate Clinical Real World Outcomes of Lorlatinib After Alectinib in ALK-Positive NSCLC...
ALK-positive Non-small-cell Lung CancerTo evaluate the clinical real world outcomes of lorlatinib in second/later line setting anaplastic lymphoma kinase (ALK) tyrosine kinase inhibitor (TKI) to TKI sequence sequence treatment after failure of alectinib as a first-line treatment in Japanese ALK positive non-small cell lung cancer (NSCLC).
Expanded Access of Sotorasib
Non Small-cell Lung CancerLocally Advanced Unresectable NSCLC1 moreThe primary objective of this study is to provide expanded access to and characterize the safety profile of Sotorasib in participants with previously treated locally advanced/unresectable/metastatic non small-cell lung cancer (NSCLC) with KRAS p.G12C mutation in a real-world setting.
A Study to Assess Programmed Death Ligand-1 (PD-L1) Expression in Cytological Versus Histological...
CarcinomaNon-Small-Cell Lung2 moreThe primary purpose of this non-interventional, multinational study is to assess the feasibility of assessing PD-L1 protein expression on cytological samples as a surrogate for histological samples obtained from participants with any stage of non-small cell lung cancer (NSCLC) or small cell lung cancer (SCLC).
Afatinib Osimertinib Sequencing NIS
CarcinomaNon-Small-Cell LungThis is a non-interventional, multi-country, multi-centre cohort study based on existing data from medical records of patients with EGFR mutation-positive advanced NSCLC treated with afatinib (Gi(l)otrif®) as the first-line treatment followed by osimertinib in case the T790M resistance mutation was developed.
Radiomics to Identify Patients at Risk for Developing Pneumonitis, Differentiate Immune Checkpoint...
Stage IV Non-small Cell Lung CancerThe 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.