کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10157459 | 1666466 | 2018 | 20 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Evaluation of HistoCheck as a Predictor of Clinical Outcomes after Haploidentical Hematopoietic Stem Cell Transplantation
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موضوعات مرتبط
علوم زیستی و بیوفناوری
بیوشیمی، ژنتیک و زیست شناسی مولکولی
تحقیقات سرطان
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
Haploidentical hematopoietic stem cell transplantation (haplo-HSCT) is available for nearly all patients without matching HLA-related or -unrelated donors. There was not a valid evaluation system to predict the most proper donor. HistoCheck was based on the functional similarity of amino acids to estimate the allogenicity of HLA mismatches with a sequence similarity matching (SSM) score. We investigated whether HistoCheck could predict clinical outcomes in 500 patients with acute leukemia or myelodysplastic syndrome receiving haplo-HSCT. The total SSM score of the 5 loci (HLA-A, -B, -C, -DRB1, and -DQB1) had no association with clinical outcomes. HLA-C SSM score was significantly associated with transplant-related mortality (TRM) (hazard ratio [HR], .in691; 95% confidence interval [CI], .520 to .917; Pâ=â.011), disease-free survival (DFS) (HR, .714; 95% CI, .586 to .869; Pâ=â.001), and overall survival (OS) (HR, .711; 95% CI, .574 to .881; Pâ=â.002) by multivariate analysis. No significant associations were observed between other single-locus SSM score and clinical outcomes. In summary, our data demonstrate that a high HLA-C HistoCheck SSM score may lead to lower TRM and improved DFS and OS after haplo-HSCT and inclusion of HLA-C HistoCheck in donor selection criteria may need to be further confirmed in prospective studies.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Biology of Blood and Marrow Transplantation - Volume 24, Issue 9, September 2018, Pages 1866-1872
Journal: Biology of Blood and Marrow Transplantation - Volume 24, Issue 9, September 2018, Pages 1866-1872
نویسندگان
Ming-Rui Huo, Dan Li, Ying-Jun Chang, Lan-Ping Xu, Xiao-Hui Zhang, Kai-Yan Liu, Xiao-Jun Huang,