Single-Nucleotide Polymorphisms in MICA and MICB Genes Could Play a Role in the Outcome in AML Patients after HSCT
Autor: | Pavel Ostasov, Diana Maceckova, Hana Gmucova, Katerina Kratochvilova, Jiri Sramek, Alena Machuldova, Robin Klieber, Monika Holubova, Pavel Jindra, Martin Leba, Lucie Houdová |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
medicine.medical_treatment
Single-nucleotide polymorphism chemical and pharmacologic phenomena Hematopoietic stem cell transplantation NK cells Article NKG2D Polymorphism (computer science) medicine graft-versus-host disease Allele allogeneic hematopoietic cell transplantation allogeneic hematopoietic cell transplantationgraft-versus-host diseasegraft-versus-tumor effectNKG2DMICAMICBNK cells business.industry Point mutation Myeloid leukemia General Medicine medicine.disease stomatognathic diseases Graft-versus-host disease surgical procedures operative MICB MICA Cancer research Medicine graft-versus-tumor effect business |
Zdroj: | Journal of Clinical Medicine, Vol 10, Iss 4636, p 4636 (2021) Journal of Clinical Medicine Volume 10 Issue 20 |
ISSN: | 2077-0383 |
Popis: | NKG2D and its ligands, MICA and MICB, are known as the key regulators of NK cells. NK cells are the first reconstituted cells after the allogeneic hematopoietic stem cell transplantation (HSCT) therefore, it is crucial to understand their role in HSCT outcome. In the presented study, we investigated the single amino acid changes across the exons 2–4 of MICA and MICB genes, and point mutations within the NKG2D gene, which defines the type of NKG2D haploblock (HNK/LNK) in the donors (n = 124), as well as in patients with acute myeloid leukemia (n = 78). In our cohort, we found that graft from a donor with at least one MICA allele containing glycine at position 14 (MICA-14Gly) is significantly associated with deterioration of a patient’s overall survival (OS) (p < 0.05). We also observed a negative effect of MICB-58 (Lys → Glu) polymorphism on relapse-free survival (RFS), although it was not statistically significant in multivariate analysis (p = 0.069). To our knowledge, this is the first work describing the role of MICA-14 and MICB-58 polymorphisms on HSCT outcome. |
Databáze: | OpenAIRE |
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