Title |
NKG2D gene polymorphisms are associated with disease control of chronic myeloid leukemia by dasatinib
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Published in |
International Journal of Hematology, August 2017
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DOI | 10.1007/s12185-017-2294-1 |
Pubmed ID | |
Authors |
Ryujiro Hara, Makoto Onizuka, Erika Matsusita, Eri Kikkawa, Yoshihiko Nakamura, Hiromichi Matsushita, Daisuke Ohgiya, Hiromichi Murayama, Shinichiro Machida, Ken Ohmachi, Yukari Shirasugi, Yoshiaki Ogawa, Hiroshi Kawada, Kiyoshi Ando |
Abstract |
A recent study reported that treatment-free remission (TFR) of chronic myeloid leukemia (CML) after dasatinib (Das) treatment was significantly associated with natural killer (NK) cell proliferation in the peripheral blood. However, biomarkers to predict lymphocytosis or successful TFR are not well characterized. In order to clarify individual differences in NK cell responses among patients treated with Das, we retrospectively analyzed the association between polymorphisms in the natural killer group 2D receptor [NKG2D; also known as killer cell lectin like receptor K1 (KLRK1)] gene and clinical outcomes in 31 patients treated with Das as first-line treatment for CML. Patients with the NKG2D HNK1/HNK1 (high-cytotoxic activity-related allele on NKG2D hb-1) haplotype achieved MR4.5 more quickly than those with other haplotypes [hazard ratio (HR) 4.39; 95% confidence interval (CI) 2.75-118.6; P = 0.004]. In addition, NK cells with the NKG2D HNK1 allele exhibited enhanced phosphorylation of vav guanine nucleotide exchange factor 1 (VAV1) at Tyr174. These data suggest that NKG2D gene polymorphisms may represent candidate biomarkers for the prediction of TFR following Das treatment. |
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Unknown | 2 | 100% |
Demographic breakdown
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Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 24 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Doctoral Student | 5 | 21% |
Researcher | 5 | 21% |
Student > Ph. D. Student | 5 | 21% |
Other | 2 | 8% |
Student > Master | 1 | 4% |
Other | 1 | 4% |
Unknown | 5 | 21% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 7 | 29% |
Immunology and Microbiology | 4 | 17% |
Biochemistry, Genetics and Molecular Biology | 3 | 13% |
Agricultural and Biological Sciences | 3 | 13% |
Unknown | 7 | 29% |