View clinical trials related to Lymphoma, B-cell.
Filter by:A phase I, open-label clinical study to evaluate the safety, tolerability, and efficacy of LUCAR-G39P, a dual-targeted cell preparation targeting CD19/CD20, in patients with relapsed/refractory B-cell non-Hodgkin lymphoma
This is a prospective, multicenter, single-arm clinical study on the treatment of newly diagnosed diffuse large B-cell lymphoma with high-risk of CNS relapse defined by CNS-IPI using Orelabrutinib in combination with R-CDOP regimen.
SC262-101 is a Phase 1 study to evaluate SC262 safety and tolerability, anti-tumor activity, cellular kinetics, immunogenicity, and exploratory biomarkers.
The purpose of this study is to evaluate the safety and preliminary efficacy of ATA3219 in participants with relapsed/refractory (R/R) B-cell non-Hodgkin Lymphoma (NHL).
This is an open-label, multicentre Phase Ib study to evaluate the safety and preliminary efficacy of new generation Bruton Tyrosine Kinase inhibitor Rocbrutinib in combination to R-CHOP (Rituximab, Cyclophosphamide, Doxorubicin, Vincristin, Prednison) in adult patients with newly diagnosed, previously untreated B-cell Non-Hodgkin Lymphoma [Diffuse Large B-cell Lymphoma (DLBCL), Marginal Zone Lymphoma (MZL) or Mantle Cell Lymphoma (MCL)].
Diffuse large B-cell lymphoma (DLBCL) represents the most common type of non-Hodgkin lymphoma and is currently a curable malignant disease for many patients with immuno-chemotherapy frontline treatment. However, around 30-40 % of patients, are unresponsive or will experience early relapse. The prognosis of primary refractory patient is poor and the management and treatment are a significant challenge due to the disease heterogeneity and the complex genetic framework. The reasons for refractoriness are various and include genetic abnormalities, alterations in tumor and tumor microenvironment. Patient related factors such as comorbidities can also influence treatment outcome. Recently the progress in Machine learning (ML) showed its usefulness in the procedures used to analyze large and complex datasets. In medicine, machine learning is used to create some predictive tools based on data-driven analytic approach and integration of various risk factors and parameters. Machine learning, as a subdomain of artificial intelligence (AI), has the capability to autonomously uncover patterns within datasets. It offers algorithms that can learn from examples to perform a task automatically.The investigators tested in a previous study five machine learning algorithms to establish a model for predicting the risk of primary refractory DLBCL using parameters obtained from a monocentric dataset. The investigators observed that NB Categorical classifier was the best alternative for building a model in order to predict primary refractory disease in DLBCL patients and the second was XGBoost.The investigators plan to extend this previous study by further exploring the two best-performing models (NBC Classifier and XGBoost), progressively incorporating a larger number of patients in a prospective way.
The study is researching an experimental drug called odronextamab, referred to as study drug. The study is focused on patients with previously treated aggressive B-cell non-Hodgkin lymphoma whose cancer has stopped responding to treatment (also known as 'refractory') or has returned (also known as 'relapsed'). The aim of the study is to see how effective the study drug is compared to standard of care (SOC) therapy. The study is looking at several other research questions, including: - What side effects may happen from taking the study drug versus SOC - How much study drug is in your blood at different times - Whether the body makes antibodies against the study drug (which could make the drug less effective or could lead to side effects) - Comparing the impact from the study drug versus SOC on your quality-of-life and ability to complete routine daily activities
To learn if the combination of axicabtagene ciloleucel (axi-cel) and glofitamab as first-line therapy in high-risk LBCL participants or as second-line therapy in LBCL participants can help to control the disease.
It is a single-arm, open-label clinical study to assess the safety and efficacy of the C752 CAR-T Cells for patients with CD19+ refractory/relapsed B cell non-Hodgkin lymphoma.
This phase I trial tests the safety, side effects and best dose of CC-99282 with rituximab for the treatment of patients who have received chimeric antigen receptor (CAR) T cell therapy for non-Hodgkins lymphoma and in whom have had a sub-optimal response early on to CAR T-cell therapy. Immunotherapy with CC-99282 may induce changes in the body's immune system and may interfere with the ability of tumor cells to grow and spread. Rituximab is a monoclonal antibody. It binds to a protein called CD20, which is found on B cells (a type of white blood cell) and some types of cancer cells. This may help the immune system kill cancer cells. Giving CC-99282 with rituximab may be a safe and effective treatment option for patients who have received CAR-T cell therapy for relapsed or refractory non-Hodgkin's lymphoma.