About this Research Topic
New advances in matching and donor selection for Hematopoietic cell transplantation (HCT) have been driven by the work of multi-disciplinary teams of clinical, statistical and bioinformatics expertise working in tandem to translate clinical research from bench to bedside and beyond. Recent research demonstrating enhanced outcomes after HCT with mis-matched donors extends the transplant benefits to numerous patients unable to find matched related or unrelated donors. This created the need for new tools to help transplant centers select the best donor given the plethora of available options. Beyond HLA, there are numerous factors that contribute to a successful HCT. While the impact for some factors has been well established, such as donor age and DPB1 permissive mismatching, other factors are still being sporadically used by some transplant centers such as the use of KIR for donor selection.
This Research Topic reviews some of the work that has been or is being developed for selecting the best available donor for a patient in need of HCT and prediction of post HCT clinical outcomes. We welcome submissions of Review, Mini-Review, Opinion, as well as Original Research articles focusing on, but not strictly limited, to the following topics:
• Donor optimization for post-HCT EFS/OS
• The role of NK cells in transplant outcomes and donor selection based on KIR
• Advances in haploidentical HCT
• Matching validation
• Bioinformatics tools to support matching for HCT
• Biomarkers for outcomes after HCT
This Research Topic reviews some of the work that has been or is being developed for selecting the best available donor for a patient in need of HCT and prediction of post HCT clinical outcomes. We welcome submissions of Review, Mini-Review, Opinion, as well as Original Research articles focusing on, but not strictly limited, to the following topics:
• Donor optimization for post-HCT EFS/OS
• The role of NK cells in transplant outcomes and donor selection based on KIR
• Advances in haploidentical HCT
• Matching validation
• Bioinformatics tools to support matching for HCT
• Biomarkers for outcomes after HCT
Keywords: HCT, HLA, KIR, donor selection, survival after HCT, matching, bioinformatics tools for HCT, biomarkers
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
