Lung Cancer Clinical Trials in Chicago, IL

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