Activated NK cells with a predominance of inhibitory receptors and a decidual-like phenotype expand after autologous HSCT in children with tumors.
Astarloa-Pando, G.; Polanco-Alonso, D.; Sanda, V.; Orrantia, A.; Amarilla-Irusta, A.; Perez-Fernandez, S.; Perez-Garay, R.; Sevilla, A.; Lopez-Pardo, A.; Tijero, A.; Uriz, J. J.; Rey, M.; Astigarraga, I.; Manzanares-Martin, B.; Bediaga, N. G.; Amo, L.; Zenarruzabeitia, O.; Borrego, F.
Show abstract
Early immune reconstitution after autologous hematopoietic stem cell transplantation (autoHSCT) is associated with a better outcome in a variety of cancers. NK cells constitute the first lymphocyte subset to recover in the blood after autoHSCT. We have in-depth characterized them in pediatric patients with different tumors and found that, immediately after autoHSCT, NK cells transiently acquired a decidual-like phenotype, were more immature and activated, and exhibited an increased expression of inhibitory receptors, while activating receptors levels were diminished. This activated and decidual-like phenotype was characterized by increased CD56, CD9, CD49a, CD151, CD38, HLA-DR and CD55 expression. We also determined plasma levels of several cytokines and found that their concentrations were associated with the observed changes in NK cells phenotype. In vitro experiments, including flow cytometry and single-cell RNA sequencing (scRNA-seq), recapitulated the changes observed in NK cells early after autoHSCT. Specifically, results revealed that the combination of IL-15 and TGF-{beta} induced, at least partially, this distinctive phenotype on NK cells after autoHSCT. Finally, we have observed a positive correlation between relapse and the percentage of CD56dim NK cells shortly after autoHSCT in our cohort of pediatric patients. Altogether, our work is of relevance to understand the physiopathology of NK cells during the immune system reconstitution after autoHSCT in children and potentially help in the management of these patients.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Blinatumomab-driven T-cell activation in αβ and γδ T-cell subsets: Insights from in vitro assays 96%
- Augmented expansion of Treg cells from healthy and autoimmune subjects via adult progenitor cell co-culture. 95%
- Human Interleukin-4-Dependent Facilitation of Human IgG Production in PBL-NOG-hIL-4-Tg mice 94%
Similar papers in this journal
- Serum-free differentiation platform for the generation of B lymphocytes and natural killer cells from human CD34+ cord blood progenitors 96%
- Meta-analysis reveals consistent immune response patterns in COVID-19 infected patients at single-cell resolution 94%
- Patrolling human SLE haematopoietic progenitors demonstrate enhanced extramedullary colonisation; implications for peripheral tissue injury 94%
Similar papers in this journal
- TIM-3 blockade enhances ex vivo stimulated allogeneic NK cell therapy for relapsed murine neuroblastoma after hematopoietic cell transplant 96%
- Targeting CISH enhances natural cytotoxicity receptor signaling and reduces NK cell exhaustion to improve solid tumor immunity 95%
- CD155 blockade enhances allogeneic natural killer cell-mediated antitumor response against osteosarcoma 94%
Similar papers in this journal
- The transcription factor RUNX2 drives the generation of human NK cells and promotes tissue residency 97%
- Umbilical cord blood-derived ILC1-like cells constitute a novel precursor for mature KIR+NKG2A- NK cells 95%
- Peripheral Natural Killer cells from chronic hepatitis B patients display molecular hallmarks of T cell exhaustion 95%
Similar papers in this journal
- Single-Cell Transcriptomics Reveals Dynamics of NK Cell Expansion in a Feeder Cell-Free Culture of PBMCs - Implications for Immunotherapy 95%
- Expanded adaptive NKG2C+ NK cells exhibit potent ADCC and functional responses against HBV-infected hepatoma cell lines 93%
- A differentiated and durable allogeneic strategy applicable to cell therapies 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.