Clinical trial · Observational
Predictive Markers of Response and Toxicity in Patients With a Haematological Malignancy Treated With Immunotherapy.
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
Immunotherapies have substantially improved the prognosis of patients with haematological malignancies. While clinical trial data suggest durable complete response rates, markers associated with non-response to treatment are still poorly described. The identification of predictive markers using demographic, physiologic, biologic, immunologic data as well as patients' treatment history, might enable the optimization of therapeutic sequences and the reduction of treatment toxicity. This study aim to assess markers of toxicity and response following an immunotherapy in patients with a haematological malignancy using real life data. It will allow the development of clinical and therapeutic benchmarks to guide medical decisions in relation to the therapeutic strategies to be implemented for patients benefiting from real-life conditions, in addition to the results obtained in randomized studies.
Conditions
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Blood Cancer | Liquid Tumor | ALIAS | 0.90 |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| Data collection | Other | — | UNRESOLVED |
Design
Arms and outcomes
Arms (1)
- label
- patients with a haematological malignancy treated with immunotherapy
- interventionNames
- Other: Data collection
Primary outcomes (4)
- measure
- Proportion of complete response
- timeFrame
- Through study completion, an average of 1 year
- description
- Treatment response : Explore the proportion of complete response
- measure
- Proportion of partial response
- timeFrame
- Through study completion, an average of 1 year
- description
- Treatment response : Explore the proportion of partial response
- measure
- Proportion of stable disease
- timeFrame
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
Show eligibility criteria text
Inclusion Criteria : * adult \>or= 18 years old, * Suffering from one of the following pathologies: Hodgkin's lymphoma, Diffuse large B-cell lymphoma, Mantle B-cell lymphoma, Acute myeloid leukemia, Acute lymphoid leukemia, Peripheral T-cell lymphoma, * Patients treated wuth any of the following immunotherapy : nivolumab, pembrolizumab, brentuximab vedotin, axicabtagene ciloleucel, tisagenlecleucel, brexucabtagene autoleucel, gentuzumab ozogamicine, polatuzumab vedotin and blinatumomab, Exclusion Criteria : \- Patients opposed to the collection of their personnal data
References
Publications (1)
- RESULTDetroit M, Collier M, Beeker N, Willems L, Decroocq J, Deau-Fischer B, Vignon M, Birsen R, Moufle F, Leclaire C, Balladur E, Deschamps P, Chauchet A, Batista R, Limat S, Treluyer JM, Ricard L, Stocker N, Hermine O, Choquet S, Morel V, Metz C, Bouscary D, Kroemer M, Zerbit J. Predictive Factors of Response to Immunotherapy in Lymphomas: A Multicentre Clinical Data Warehouse Study (PRONOSTIM). Cancers (Basel). 2023 Aug 9;15(16):4028. doi: 10.3390/cancers15164028. PMID 37627056