Clinical Research Directory

Biomarker-Guided Allogeneic Single-Target or Dual-Target CAR-NK Cell Therapy for Advanced Solid Tumors

This Phase 1/2 study evaluates the safety, feasibility, and preliminary anti-tumor activity of allogeneic donor-derived CAR-NK cells in participants with advanced solid tumors. The CAR target antigen is selected for each participant after tumor profiling using a tissue biopsy and/or liquid biopsy. Participants will receive either a single-target or dual-target CAR-NK product based on the antigen profile.

Pragmatic Geriatric Assessment Before CAR-T or Bispecific Antibody Therapy to Predict Side Effects and Outcomes in Older Patients (GA-ACT Trial)

CAR-T cell or bispecific antibody therapies are a new treatment option for adult patients with aggressive forms of lymphoma or so-called plasma cell diseases ('multiple myeloma', 'plasma cell myeloma') that could not be cured with other, less intensive approaches. However, these are intensive therapies that can be associated with severe and potentially life-threatening side effects. Although there is no age limit for these therapies, we know little about the short- and long-term side effects of these treatments in people of advanced age. Although a small number of patients in the pivotal studies were even over 80 years old, their number was too small to be able to assess the tolerability and success specifically in people over 65. At present, the treating physicians decide whether and, if so, which patients are considered 'fit' enough for this therapy. An objective assessment of the kind we want to investigate in our study does not currently exist on a regular basis. In this study, we therefore want to use simple clinical methods to investigate the effects of these forms of therapy in different areas of everyday function that are important for people in older age (mobility, memory, self-care skills, nutrition). We want to find out whether these investigations help to predict the risk of severe and/or long-term side effects. Based on the results, a pragmatic geriatric assessment could be introduced as standard before these therapies. Older patients could thus expect an improvement in their quality of life thanks to more predictable risks and side effects. Standardized screening could lead to lower healthcare costs for treatment and aftercare for both forms of therapy.

Reduced-Dose Apixaban and Rivaroxaban Versus Low-Molecular-Weight Heparin in Patients With Hematologic Malignancies

This study investigates the efficacy and safety of direct oral anticoagulants (DOACs) in comparison with standard low-molecular-weight heparin (LMWH) for the prevention of venous thromboembolism in patients with hematological malignancies. Eligible participants will be randomized to receive reduced-dose apixaban, reduced-dose rivaroxaban, or standard-dose LMWH. The primary objective is to evaluate the incidence of venous thromboembolism during a 6-month follow-up period. Secondary objectives include assessment of bleeding complications, overall survival, and treatment adherence. The results of this study may provide evidence for safer and more convenient thromboprophylaxis strategies in patients with blood cancers.

Randomised Controlled Trial of Artificial Intelligence-assisted Health Education

With the rapid advancement of biopharmaceutical technology, clinical trials have become the crucial bridge connecting new drugs from the laboratory to clinical application. Despite the increasing number of clinical trial projects being conducted, nearly all such projects face the common challenge of recruitment difficulties. Subject recruitment constitutes a pivotal stage in clinical trials; the ability to recruit a sufficient number of subjects meeting the trial requirements significantly impacts trial quality and also serves as a key factor influencing trial progress. Hematologic cancers constitute a highly heterogeneous group of malignant diseases originating in the haematopoietic organs and primarily affecting the haematopoietic system. They encompass acute and chronic leukaemias, malignant lymphomas, multiple myeloma, myelodysplastic syndromes, and related disorders. For patients facing treatment decisions, clinical trials represent not only a vital avenue for accessing cutting-edge therapies but also impose heightened demands on their capacity for informed decision-making. Conversational artificial intelligence (AI) based on large language models is rapidly advancing in health education and public health communication. Medical chatbots offer scalable and personalised advantages in delivering health information, promoting behavioural change, and enhancing patient engagement, providing a viable pathway for improving trial literacy and decision support. Accordingly, this study proposes to conduct a clinical trial literacy intervention using AI-powered chatbots among haematological malignancy patients. Through a randomised controlled trial (RCT), it aims to evaluate the impact of AI-assisted health education on patients' understanding of clinical trials and intention to participate. This research seeks to validate the application value of AI technology in health education and explore scalable AI-assisted health education intervention models.