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目的探讨不同类型白血病汉族患者群体找到HLA-A、B和DRB1低分辨全相合无关供者可能性。方法依据1201名急性淋巴细胞白血病(ALL)、1065名急性非淋巴细胞白血病(AML)和1432名慢性粒细胞白血病(CML)汉族患者群体HLA-A、B和DRB1低分辨分型结果,计算这3类白血病汉族患者群体的HLA-A、B和DRB1抗原频率,单体型频率和表型频率,联合应用中华骨髓库(CMDP)中健康汉族供者HLA表型频率数据,进一步推导出这3类白血病汉族患者群体找到至少1名HLA低分辨全相合供者概率及回归方程。结果ALL、AML、CML汉族患者群体表型种类数分别为416851、373903和464373种,其中31%的表型频率均>1/100万;ALL、AML、CML汉族患者群体在CMDP的汉族供者群体中找到至少1名HLA表型相同供者回归方程分别为:P=0.0824LgN-0.3667、P=0.0825LgN-0.3636和P=0.0829LgN-0.3644;计算出81.6%的ALL、81.9%的AML、82.4%的CML汉族患者要找到1名HLA低分辨表型相同的无关供者,CMDP中汉族有效供者群体数平均146.7万。结论应用不同类型白血病患者群体HLA-A、B和DRB1遗传学数据评估患者找到HLA相合供者概率较仅以健康供者群体HLA遗传学数据评估更为精确。为有效地提高患者的移植效果,需要征募更多的无关供者。
Objective To explore the possibility of finding HLA-A, B and DRB1 low-resolution full-matched unrelated donors in Han population with different types of leukemia. Methods Based on the results of low-resolution HLA-A, B and DRB1 typing in 1201 Han population with acute lymphocytic leukemia (ALL), 1065 acute non-lymphocytic leukemia (AML) and 1432 chronic myeloid leukemia (CML) HLA-A, B, and DRB1 antigen frequencies, haplotypes, and phenotype frequencies in the Han population of the 3 leukemia patients were analyzed using HLA phenotype frequency data from healthy Han donors in the China Bone Marrow Bank (CMDP) Leukemia patients in Han population found at least one HLA low resolution all-match donor probability and regression equation. Results There were 416851, 3773903 and 464373 phenotypes in ALL, AML and CML patients, respectively, of which 31% had a phenotype frequency> 1/100 million. Han Chinese patients with ALL, AML and CML were all Han nationality in CMDP The regression equation for finding at least one identical HLA phenotype in the population was: P = 0.0824LgN-0.3667, P = 0.0825LgN-0.3636 and P = 0.0829LgN-0.3644; 81.6% ALL, 81.9% 82.4% of Han patients with CML were found to have one unrelated donor with the same HLA low-resolution phenotype, and the mean number of Han-effective donors in CMDP was 1.46 million. Conclusions The HLA-A, B and DRB1 genetic data of patients with different types of leukemia are more accurate than the results of HLA genetic data only from healthy donors. In order to effectively improve the patient’s transplant effect, need to recruit more unrelated donors.