ArticleCancers2020
Genetic and Molecular Basis of Heterogeneous NK Cell Responses against Acute Leukemia.
Article in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
16 citing papers in PubMed, 18 citations in OpenAlex.
- Leveraging the heterogeneity of the NK cell repertoire for the development of immunotherapies for acute leukemia.Journal of translational medicine · 2025Review
- Molecular Interactions Between NK Cells and Acute Leukemic Cells: KIR2DL5 Drastically Limits NK Cell Responses.Journal of clinical immunology · 2025Article
- Multifactorial determinants of NK cell repertoire organization: insights into age, sex, KIR genotype, HLA typing, and CMV influence.Frontiers in immunology · 2024Article
- Article
- Contribution of the TIME in BCP-ALL: the basis for novel approaches therapeutics.Frontiers in immunology · 2023Review
- Analysis of the impact of handling and culture on the expansion and functionality of NK cells.Frontiers in immunology · 2023Article
- Natural killer cell-related prognosis signature characterizes immune landscape and predicts prognosis of HNSCC.Frontiers in immunology · 2022Article
- NK cells with decreased expression of multiple activating receptors is a dominant phenotype in pediatric patients with acute lymphoblastic leukemia.Frontiers in oncology · 2022Article
- Relevance of Polymorphic KIR and HLA Class I Genes in NK-Cell-Based Immunotherapies for Adult Leukemic Patients.Cancers · 2021Review
- Influence of HLA-C environment on the spontaneous clearance of hepatitis C in European HIV-HCV co-infected individuals.Clinical and experimental immunology · 2021Article
- Review
- Mechanisms of Immunosuppressive Tumor Evasion: Focus on Acute Lymphoblastic Leukemia.Frontiers in immunology · 2021Review
- Making a Killer: Selecting the Optimal Natural Killer Cells for Improved Immunotherapies.Frontiers in immunology · 2021Review
- Article
- Paving the Way Towards Universal Chimeric Antigen Receptor Therapy in Cancer Treatment: Current Landscape and Progress.Frontiers in immunology · 2020Review
- Decreased iKIR-HLA C Pair Confers Worse Clinical Outcomes for Patients With Myeloid Disease Receiving Antithymocyte Globulin-Based Haploidentical Hematopoietic Stem Cell Transplantation.Frontiers in immunology · 2020Article
Corrections and comments
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Authors and funding
17 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Natural killer (NK) cells are key cytotoxic effectors against malignant cells. Polygenic and polymorphic Killer cell Immunoglobulin-like Receptor (KIR) and HLA genes participate in the structural and functional formation of the NK cell repertoire. In this study, we extensively investigated the anti-leukemic potential of NK cell subsets, taking into account these genetic parameters and cytomegalovirus (CMV) status. Hierarchical clustering analysis of NK cell subsets based on NKG2A, KIR, CD57 and NKG2C markers from 68 blood donors identified donor clusters characterized by a specific phenotypic NK cell repertoire linked to a particular immunogenetic KIR and HLA profile and CMV status. On the functional side, acute lymphoblastic leukemia (ALL) was better recognized by NK cells than acute myeloid leukemia (AML). However, a broad inter-individual disparity of NK cell responses exists against the same leukemic target, highlighting bad and good NK responders. The most effective NK cell subsets against different ALLs expressed NKG2A and represented the most frequent subset in the NK cell repertoire. In contrast, minority CD57
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.