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An increasing number of cancer patients are eligible to receive immunotherapy. Efficacy and tolerance have been demonstrated in multicentre randomized clinical trials with positive results. However, real-life experience differs from clinical trial results, especially regarding the management of potential adverse events. HR-QoL (Health Related Quality of Life) is one of the components of QoL (Quality of Life) in its broad acceptation and is certainly the only one usually collected in trials while little is known about QoL in cancer patients treated in the 'real-world'. QUALITOP partners intend to bring together all relevant longitudinal information present in large heterogeneous data (big data) to estimate patient QoL and find surrogate markers of QoL and its evolution. Within the QUALITOP consortium, 5 countries will collect prospective clinical and QoL data and also retrospective clinical data, and share it. This project will enable collecting, managing, sharing, modelling, processing, and exploiting big data on QoL. Furthermore, beyond the description of QoL, analytical tools (including causal inference methods and machine learning) are needed to understand the determinants of QoL and their complex relationships with irAEs (immune related Adverse Events) in a big-data context where standard statistical techniques would be limited. Artificial intelligence and causal models may be applied and developed to empower the patient, prevent adverse medical conditions, and promote QoL. The created knowledge will enable proposing guidelines for promoting better QoL.
QUALITOP aims at identifying the determinants of health status regarding immunotherapy-related adverse events (IR-AEs, such as toxicities) depending on the patient's profile in a real-world context.
The richness of QUALITOP is in the diversity of the experts who will collaborate in it. Clinicians involved in the care (thus the health status of the patients) will collaborate with psychologists and sociologists to understand and integrate complementary dimensions of QoL related to immunotherapy. Experts in pharmacovigilance and pharmacists will investigate the IR-AEs and their associations with patient behaviour and non-drug consumption. Epidemiologists, data scientists (including bioinformaticians and biostatisticians) and economists will extract information from the data and develop simulation models to produce knowledge. The project will take place in close relation with patient associations that will interact with experts to design the analyses, interpret their results, and proceed to their dissemination.
The main objective is to collect data of patients receiving immunotherapy in order to describe its impact in their quality of life.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Immune checkpoint inhibitors | Any immunotherapy by immune checkpoint inhibitor molecule in combination or monotherapy, associated or no with any other cancer treatment such as chemotherapy, targeted therapy, radiotherapy, etc. |
| |
| CAR-T cells | Transplantation of recombined autologous immune T-cells |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| QoL & irAEs determinants | Other | Assesment of the QoL & irAEs determinants in patients diagnosed with solid tumor and treated in France, Netherlands, Portugal, Spain, with immunotherapy by immune checkpoint inhibitors. |
| Measure | Description | Time Frame |
|---|---|---|
| Assesment of the QoL& irAEs determinants in patients diagnosed with solid or hematologic cancer and treated in France, Netherlands, Portugal, Spain, with immunotherapy by immune checkpoint inhibitors or CAR-T cells. | Descriptive analysis of QoL determinants (which are there ? what are their impacts ? etc) based on collected data from the beginning of the treatment to 2 years. | Clinical data will be collected during 18 months starting from treatment initiation, or until the last patient reaches the 18 months follow-up. Clinical and biological changes occurring during the treatment will be assessed and compared to baseline. QoL |
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Inclusion Criteria:
Exclusion Criteria:
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to define
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Delphine MAUCORT-BOULCH, PhD | Contact | +33 4 78 86 57 64 | delphine.maucort-boulch@chu-lyon.fr | |
| Aurore FOUDA ESONGUE, PhD | Contact | +33 4 78 86 41 14 | aurore.fouda@chu-lyon.fr |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Medical Clinical Research Platform, Cancer Institute of the Hospices Civils de Lyon | Recruiting | Pierre-Bénite | 69310 | France |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 37105689 | Derived | Vinke PC, Combalia M, de Bock GH, Leyrat C, Spanjaart AM, Dalle S, Gomes da Silva M, Fouda Essongue A, Rabier A, Pannard M, Jalali MS, Elgammal A, Papazoglou M, Hacid MS, Rioufol C, Kersten MJ, van Oijen MG, Suazo-Zepeda E, Malhotra A, Coquery E, Anota A, Preau M, Fauvernier M, Coz E, Puig S, Maucort-Boulch D. Monitoring multidimensional aspects of quality of life after cancer immunotherapy: protocol for the international multicentre, observational QUALITOP cohort study. BMJ Open. 2023 Apr 27;13(4):e069090. doi: 10.1136/bmjopen-2022-069090. |
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| QoL & irAEs determinants | Other | Assesment of the QoL & irAEs determinants in patients diagnosed with hematologic cancer and treated in France, Netherlands, Portugal, Spain, by CAR-T cells. |
|
| Academic Medical Center Amsterdam | Recruiting | Amsterdam | Netherlands |
|
| University Medical Center Groningen | Recruiting | Amsterdam | Netherlands |
|
| Instituto Português de Oncologia | Recruiting | Lisbon | Portugal |
|
| Hospital Clinic de Barcelona - Consorci Institut d'Investigacions Biomediques August Pi i Sunyer | Recruiting | Barcelona | Spain |
|
| ID | Term |
|---|---|
| D019337 | Hematologic Neoplasms |
| D009369 | Neoplasms |
| ID | Term |
|---|---|
| D009371 | Neoplasms by Site |
| D006402 | Hematologic Diseases |
| D006425 | Hemic and Lymphatic Diseases |
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| ID | Term |
|---|---|
| D011788 | Quality of Life |
| ID | Term |
|---|---|
| D006304 | Health Status |
| D003710 | Demography |
| D015991 | Epidemiologic Measurements |
| D011634 | Public Health |
| D004778 | Environment and Public Health |
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