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Immune checkpoint inhibitors (ICI) have dramatically changed the management of some types of metastatic cancer, with indications for their use continuing to expand. Despite the hope brought by these new anti-cancer molecules, the response to ICI in these poorly prognosticated cancers is heterogeneous, with a benefit observed in 20 to 30% of patients, with the combination with chemotherapy or targeted therapies offering new perspectives. By inhibiting natural checkpoints of the immune system, ICI increase the anti-tumor response, but are also responsible for immune-related adverse events (irAEs), which can be severe. There are many hypothesized mechanisms for these immune-related adverse events, but no one has ever characterized in detail the immune infiltrate within the irAEs targeted tissues.
In-depth identification of cell subpopulations within the tumor microenvironment, as well as the infiltrate within the irAEs targeted tissues, would allow the identification of new predictive factors of response and toxicity, which could be used in clinical practice at the time of diagnosis. A better understanding of immuno-mediated toxicities would allow to adapt their management, which is currently based on the inflammatory diseases they mimic. The Hyperion technology is an innovative mass cytometry imaging system, allowing the simultaneous analysis of nearly 40 markers within a tissue.
Treatment by ICI opens two important fields of investigation: the first concerns the prediction of the efficacy of these treatments, an important public health issue, as they are costly and not without toxicity; and the second concerns the understanding and therefore the management of specific immuno-mediated toxicities, which may be limiting. This project will bring together several investigations, carried out by different investigators and coordinated within the B Lymphocytes, Autoimmunity and Immunotherapies (LBAI), research unit (UMR 1227) in Brest, in order to characterize the tissue actors involved in the response and the immuno-induced toxicities, in order to establish predictive factors.
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| Measure | Description | Time Frame |
|---|---|---|
| Tumor response according to the iRECIST criteria and occurrence of irAE over the duration of the patient's follow-up. | Apparition of irAE is appreciated according the physician definition. The description and grading scales of irAE found in the revised NCI Common Terminology Criteria for Adverse Events (CTCAE) version 5.0 will be utilized. A copy of the CTCAE version 5.0 can be downloaded from the CTEP web site http://ctep.cancer.gov/protocolDevelopment/electronic\_applications/ctc.htm. | 24 months |
| Measure | Description | Time Frame |
|---|---|---|
| CTCAE terminology (description of the adverse event) and grade | The description and grading scales of irAE found in the revised NCI Common Terminology Criteria for Adverse Events (CTCAE) version 5.0 will be utilized. | 24 months |
| Survival (PFS et OS) |
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Inclusion Criteria:
Age ≥ 18 years old
Exclusion Criteria:
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All patients with tumors treated by immunotherapy with Immune Checkpoint Inhibitors (ICI).
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Brest University Hospital | Recruiting | Brest | 29200 | France |
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PFS is defined as the time from random assignment in the clinical trial to disease progression or death from any cause. OS is defined as the time from random assignment in the clinical trial to death.
| 24 months |
| Basic demographic data, disease history, nature of ICI treatment, treatment schedule | 24 months |
| Identification and quantification of cell subpopulations and interactions within the tumor microenvironment, differentiating ICI responders from non-responders | 24 months |
| Identification and quantification of cell subpopulations making up the inflammatory infiltrate in irAEs target tissues | 24 months |
| ID | Term |
|---|---|
| D009369 | Neoplasms |
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