Most stem cell transplants are performed to treat neoplasms. Yet many patients survive the transplant but die from cancer recurrence post-transplant. The incorporation of post-transplant immunotherapy offers the potential for enhanced antitumor efficacy.
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Multicentre adaptive randomised trial of GvHD prophylaxis following unrelated donor stem cell transplantation comparing Thymoglobulin versus calcineurin inhibitor-based or sirolimus-based post-transplant cyclophosphamide (Methods of T cell Depletion, MoTD trial).
BMJ Open
January 2025
Cancer Research UK Clinical Trials Unit, University of Birmingham, Birmingham, UK.
Introduction: Graft-versus-host disease (GvHD) remains a major complication of allogeneic stem cell transplantation (allo-SCT), affecting 30-70% of patients (representing 800 new patients per year in the UK). The risk is higher in patients undergoing unrelated allo-SCT. About 1 in 10 patients die as a result of GvHD or through complications of its treatment.
View Article and Find Full Text PDFComparison of Outcomes of Haploidentical Peripheral Blood Stem Cell Transplantation with Post-Transplant Cyclophosphamide in Older Versus Younger Patients.
Cancers (Basel)
January 2025
Department of Bone Marrow Transplant and Cellular Immunotherapy, H. Lee Moffitt Cancer Center, Tampa, FL 33612, USA.
Background: Previous studies have shown that allogeneic peripheral blood stem cell transplantation (PBSCT) from an HLA haploidentical (haplo) donor followed by graft-versus-host disease (GVHD) prophylaxis with post-transplant cyclophosphamide (PTCy) results in lower relapse rates and improved DFS when compared to haplo bone marrow transplant (BMT) with PTCy. However, PBSCT leads to higher rates of GVHD. It is unknown whether the benefits of haplo PBSCT may be nullified in older patients (>60 years) by a higher susceptibility to GVHD and transplant related toxicity.
View Article and Find Full Text PDFAssociations between dialysis modality and adherence to immunosuppression after kidney transplantation-A single-center study.
PLoS One
January 2025
Helsinki University Hospital, Abdominal Centre, Transplantation and Liver Surgery, and University of Helsinki, Helsinki, Finland.
Background: Patients with end-stage kidney disease often prefer home-based dialysis due to higher self-efficacy, which relates to improved medical treatment adherence. Kidney transplantation (KT) success depends on adhering to immunosuppressive medication post-transplant.
Objectives: To investigate whether adherence post-kidney transplantation (KT) and patients' attitudes toward immunosuppression were influenced by their prior dialysis type modality.
Dual T cell depleted haploidentical hematopoietic stem cell transplantation with post-transplant cyclophosphamide and anti-thymocyte globulin as a third salvage transplant for leukocyte adhesion deficiency with graft failure: a case report.
Front Immunol
January 2025
Cell Therapy and Hematopoietic Stem Cell Transplantation Research Center, Research Institute for Oncology, Hematology and Cell Therapy, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Background: With recent advances in clinical practice, including the use of reduced-toxicity conditioning regimens and innovative approaches such as ex vivo TCRαβ/CD19 depletion of haploidentical donor stem cells or post-transplant cyclophosphamide (PTCY), hematopoietic stem cell transplantation (HSCT) has emerged as a curative treatment option for a growing population of patients with inborn errors of immunity (IEI). However, despite these promising developments, graft failure (GF) remains a significant concern associated with HSCT in these patients. Although a second HSCT is the only established salvage therapy for patients who experience GF, there are no uniform, standardized strategies for performing these second transplants.
View Article and Find Full Text PDFPredicting the outcome of a kidney transplant involving a living donor advances donor decision-making donors for clinicians and patients. However, the discriminative or calibration capacity of the currently employed models are limited. We set out to apply artificial intelligence (AI) algorithms to create a highly predictive risk stratification indicator, applicable to the UK's transplant selection process.
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