| Title: |
Predictive Factors of Response to Immunotherapy in Lymphomas: A Multicentre Clinical Data Warehouse Study (PRONOSTIM) |
| Authors: |
Marion Detroit; Mathis Collier; Nathanaël Beeker; Lise Willems; Justine Decroocq; Bénédicte Deau-Fischer; Marguerite Vignon; Rudy Birsen; Frederique Moufle; Clément Leclaire; Elisabeth Balladur; Paul Deschamps; Adrien Chauchet; Rui Batista; Samuel Limat; Jean-Marc Treluyer; Laure Ricard; Nicolas Stocker; Olivier Hermine; Sylvain Choquet; Véronique Morel; Carole Metz; Didier Bouscary; Marie Kroemer; Jérémie Zerbit |
| Source: |
Cancers, Vol 15, Iss 16, p 4028 (2023) |
| Publisher Information: |
MDPI AG |
| Publication Year: |
2023 |
| Collection: |
Directory of Open Access Journals: DOAJ Articles |
| Subject Terms: |
clinical data warehouse; real-world data; predictive factors of immunotherapy; lymphoma; Neoplasms. Tumors. Oncology. Including cancer and carcinogens; RC254-282 |
| Description: |
Immunotherapy (IT) is a major therapeutic strategy for lymphoma, significantly improving patient prognosis. IT remains ineffective for a significant number of patients, however, and exposes them to specific toxicities. The identification predictive factors around efficacy and toxicity would allow better targeting of patients with a higher ratio of benefit to risk. PRONOSTIM is a multicenter and retrospective study using the Clinical Data Warehouse (CDW) of the Greater Paris University Hospitals network. Adult patients with Hodgkin lymphoma or diffuse large-cell B lymphoma treated with immune checkpoint inhibitors or CAR T (Chimeric antigen receptor T) cells between 2017 and 2022 were included. Analysis of covariates influencing progression-free survival (PFS) or the occurrence of grade ≥3 toxicity was performed. In total, 249 patients were included. From this study, already known predictors for response or toxicity of CAR T cells such as age, elevated lactate dehydrogenase, and elevated C-Reactive Protein at the time of infusion were confirmed. In addition, male gender, low hemoglobin, and hypo- or hyperkalemia were demonstrated to be potential predictive factors for progression after CAR T cell therapy. These findings prove the attractiveness of CDW in generating real-world data, and show its essential contribution to identifying new predictors for decision support before starting IT. |
| Document Type: |
article in journal/newspaper |
| Language: |
English |
| Relation: |
https://www.mdpi.com/2072-6694/15/16/4028; https://doaj.org/toc/2072-6694; https://doaj.org/article/7b96c5f4df674d9e84afd99448772c0c |
| DOI: |
10.3390/cancers15164028 |
| Availability: |
https://doi.org/10.3390/cancers15164028; https://doaj.org/article/7b96c5f4df674d9e84afd99448772c0c |
| Accession Number: |
edsbas.7ADE5993 |
| Database: |
BASE |