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Leukemia Research
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December 3, 2014
Prevalence and prognostic significance of c-KIT mutations in core binding factor acute myeloid leukemia: a comprehensive large-scale study from a single Chinese center
Ya-Zhen Qin, Hong-Hu Zhu, Qian Jiang, et al.
Medical Science Monitor : International Medical Journal of Experimental and Clinical Research
|
February 7, 2018
High EVI1 Expression Predicts Poor Outcomes in Adult Acute Myeloid Leukemia Patients with Intermediate Cytogenetic Risk Receiving Chemotherapy
Ya-Zhen Qin, Ting Zhao, Hong-Hu Zhu, et al.
Zhongguo Shi Yan Xue Ye Xue Za Zhi
|
June 28, 2006
[Application of CD123 in detection of minimal residual disease in acute promyelocytic leukemia]
Ya-Zhe Wang, Yan Chang, Hong-Hu Zhu, et al.
Chinese Medical Journal
|
September 29, 2009
Arsenic trioxide downregulates the expression of annexin II in bone marrow cells from patients with acute myelogenous leukemia
Xiao-hui Zhang, Yu Hu, Li Bao, et al.
Hematological Oncology
|
February 28, 2024
Venetoclax plus daunorubicin and cytarabine in newly diagnosed acute myeloid leukemia patients: A propensity score-matched analysis
Rong Wang, Yi Zhang, Jie Chang, et al.
British Journal of Haematology
|
March 25, 2021
Minimal residual disease level determined by flow cytometry provides reliable risk stratification in adults with T-cell acute lymphoblastic leukaemia
Huanping Wang, Yile Zhou, Xin Huang, et al.
Frontiers in Oncology
|
December 16, 2020
Hypertriglyceridemia in Newly Diagnosed Acute Promyelocytic Leukemia
Jianai Sun, Yinjun Lou, Jingjing Zhu, et al.
Zhonghua Xue Ye Xue Za Zhi = Zhonghua Xueyexue Zazhi
|
November 28, 2008
[PRAME mRNA expression in newly diagnosed acute myeloid leukemia patients and its application to monitoring minimal residual disease]
Ya-zhen Qin, Jin-lan Li, Hong-hu Zhu, et al.
Cell Communication and Signaling : CCS
|
April 4, 2025
Machine learning-based in-silico analysis identifies signatures of lysyl oxidases for prognostic and therapeutic response prediction in cancer
Qingyu Xu, Ling Ma, Alexander Streuer, et al.
Zhongguo Shi Yan Xue Ye Xue Za Zhi
|
December 28, 2013
[Immunophenotypic and clinical characteristic analysis of NPM1 mutated acute myeloid leukemia with a normal karyotype]
Yan-Rong Liu, Yue-Yun Lai, Yan Chang, et al.
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Search research articles
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Showing results (81-90 of 120) with videos related to
Sort By:
Page
of 12
Leukemia Research
|
December 3, 2014
Prevalence and prognostic significance of c-KIT mutations in core binding factor acute myeloid leukemia: a comprehensive large-scale study from a single Chinese center
Ya-Zhen Qin, Hong-Hu Zhu, Qian Jiang, et al.
Medical Science Monitor : International Medical Journal of Experimental and Clinical Research
|
February 7, 2018
High EVI1 Expression Predicts Poor Outcomes in Adult Acute Myeloid Leukemia Patients with Intermediate Cytogenetic Risk Receiving Chemotherapy
Ya-Zhen Qin, Ting Zhao, Hong-Hu Zhu, et al.
Zhongguo Shi Yan Xue Ye Xue Za Zhi
|
June 28, 2006
[Application of CD123 in detection of minimal residual disease in acute promyelocytic leukemia]
Ya-Zhe Wang, Yan Chang, Hong-Hu Zhu, et al.
Chinese Medical Journal
|
September 29, 2009
Arsenic trioxide downregulates the expression of annexin II in bone marrow cells from patients with acute myelogenous leukemia
Xiao-hui Zhang, Yu Hu, Li Bao, et al.
Hematological Oncology
|
February 28, 2024
Venetoclax plus daunorubicin and cytarabine in newly diagnosed acute myeloid leukemia patients: A propensity score-matched analysis
Rong Wang, Yi Zhang, Jie Chang, et al.
British Journal of Haematology
|
March 25, 2021
Minimal residual disease level determined by flow cytometry provides reliable risk stratification in adults with T-cell acute lymphoblastic leukaemia
Huanping Wang, Yile Zhou, Xin Huang, et al.
Frontiers in Oncology
|
December 16, 2020
Hypertriglyceridemia in Newly Diagnosed Acute Promyelocytic Leukemia
Jianai Sun, Yinjun Lou, Jingjing Zhu, et al.
Zhonghua Xue Ye Xue Za Zhi = Zhonghua Xueyexue Zazhi
|
November 28, 2008
[PRAME mRNA expression in newly diagnosed acute myeloid leukemia patients and its application to monitoring minimal residual disease]
Ya-zhen Qin, Jin-lan Li, Hong-hu Zhu, et al.
Cell Communication and Signaling : CCS
|
April 4, 2025
Machine learning-based in-silico analysis identifies signatures of lysyl oxidases for prognostic and therapeutic response prediction in cancer
Qingyu Xu, Ling Ma, Alexander Streuer, et al.
Zhongguo Shi Yan Xue Ye Xue Za Zhi
|
December 28, 2013
[Immunophenotypic and clinical characteristic analysis of NPM1 mutated acute myeloid leukemia with a normal karyotype]
Yan-Rong Liu, Yue-Yun Lai, Yan Chang, et al.
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of 12