Lung Cancer Clinical Trials in Chicago, IL

This randomized phase III trial studies how well crizotinib works in treating patients with stage IB-IIIA non-small cell lung cancer that has been removed by surgery and has a mutation in a protein called anaplastic lymphoma kinase (ALK). Mutations, or changes, in ALK can make it very active and important for tumor cell growth and progression. Crizotinib may stop the growth of tumor cells by blocking the ALK protein from working. Crizotinib may be an effective treatment for patients with non-small cell lung cancer and an ALK fusion mutation. Read Less

The purpose of this study is to evaluate the safety, tolerability, and pharmacokinetics of intravenous (IV) administration of XmAb808 in combination with pembrolizumab in subjects with selected advanced solid tumors and to identify the minimum safe and biologically effective/recommended dose (RD) and schedule for XmAb808. Read Less

The study is intended to assess the safety and efficacy of neoadjuvant combination of IPH5201 and durvalumab in addition to standard chemotherapy and adjuvant combination of IPH5201 and durvalumab in untreated patients with resectable, early-stage (stage II to IIIA) non-small cell lung cancer (NSCLC). Read Less

This phase II trial tests the effectiveness and safety of artificial intelligence (AI) to determine dose recommendation during stereotactic body radiation therapy (SBRT) planning in patients with primary lung cancer or tumors that has spread from another primary site to the lung (metastatic). SBRT uses special equipment to position a patient and deliver radiation to tumors with high precision. This method may kill tumor cells with fewer doses over a shorter period and cause less damage to normal tissue. Even with the high precision of SBRT, disease persistence or reappearance (local recurrence) can still occur, which could be attributed to the radiation dose. AI has been used in other areas of healthcare to automate and improve various aspects of medical science. Because the relationship of dose and local recurrence indicates that dose prescriptions matter, decision support systems to help guide dose based on personalized prediction AI algorithms could better assist providers in prescribing the radiation dose of lung stereotactic body radiation therapy treatment. Read Less

This phase III trial compares the effect of the combination of ramucirumab and pembrolizumab versus standard of care chemotherapy for the treatment of non-small cell lung cancer that is stage IV or that has come back after a period of improvement (recurrent). Ramucirumab is a monoclonal antibody that may prevent the growth of new blood vessels that tumors need to grow. Immunotherapy with monoclonal antibodies, such as pembrolizumab, may help the body's immune system attack the cancer, and may interfere with the ability of tumor cells to grow and spread. Chemotherapy drugs work in different ways to stop the growth of tumor cells, either by killing the cells, by stopping them from dividing, or by stopping them from spreading. This trial may help doctors find out if giving ramucirumab with pembrolizumab is more effective at treating patients with stage IV or recurrent non-small cell lung cancer than standard chemotherapy. Read Less

This is a multicenter, randomized, open-label study of Tumor Treating Fields (TTFields) at 150 kHz to the thorax using the NovoTTF-200T System with IV pembrolizumab in subjects previously untreated for advanced or metastatic, PD-L1 positive non-small cell lung cancer (NSCLC). The primary objective is to evaluate the progression-free survival (PFS) by RECIST 1.1 in subjects with TPS ≥1 percent, 1L metastatic/current advanced NSCLC treated with TTFields concomitant with pembrolizumab compared to those treated with pembrolizumab alone. The device is an experimental, portable, battery operated device for chronic administration of alternating electric fields (termed TTFields) to the region of the malignant tumor, by means of surface, insulated electrode arrays. Read Less

This phase II trial tests how well CPI-613 (devimistat) in combination with hydroxychloroquine (HCQ) and 5-fluorouracil (5-FU) or gemcitabine works in patients with solid tumors that may have spread from where they first started to nearby tissue, lymph nodes, or distant parts of the body (advanced) or that have not responded to chemotherapy medications (chemorefractory). Metabolism is how the cells in the body use molecules (carbohydrates, fats, and proteins) from food to get the energy they need to grow, reproduce and stay healthy. Tumor cells, however, do this process differently as they use more molecules (glucose, a type of carbohydrate) to make the energy they need to grow and spread. CPI-613 works by blocking the creation of the energy that tumor cells need to survive, grow in the body and make more tumor cells. When the energy production they need is blocked, the tumor cells can no longer survive. Hydroxychloroquine is a drug used to treat malaria and rheumatoid arthritis and may also improve the immune system in a way that tumors may be better controlled. Fluorouracil is in a class of medications called antimetabolites. It works by killing fast-growing abnormal cells. Gemcitabine is a chemotherapy drug that blocks the cells from making DNA and may kill tumor cells. CPI-613 (devimistat) in combination with hydroxychloroquine and 5-fluorouracil or gemcitabine may work to better treat advanced solid tumors. Read Less

I3LUNG is an international project aiming to develop a medical device to predict immunotherapy efficacy for NSCLC patients using the integration of multisource data (real word and multi-omics data). This objective will be reached through a retrospective - setting up a transnational platform of available data from 2000 patients - and a prospective - multi-omics prospective data collection in 200 NSCLS patients - study phase. The retrospective cohort will be used to perform a preliminary knowledge extraction phase and to build a retrospective predictive model for IO (R-Model), that will be used in the prospective study phase to create a first version of the PDSS tool, an AI-based tool to provide an easy and ready-to-use access to predictive models, increasing care appropriateness, reducing the negative impacts of prolonged and toxic treatments on wellbeing and healthcare costs. The prospective part of the project includes the collection and the analysis of multi-OMICs data from a multicentric prospective cohort of about 200 patients. This cohort will be used to validate the results obtained from the retrospective model through the creation of a new model (P-Model), which will be used to create the final PDSS tool. Read Less