JOAQUÍN
DÍAZ MEDIAVILLA
Investigador hasta 2014
Marcos
González Díaz
Publicaciones en las que colabora con Marcos González Díaz (14)
2016
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Minimal residual disease evaluation by flow cytometry is a complementary tool to cytogenetics for treatment decisions in acute myeloid leukaemia
Leukemia Research, Vol. 40, pp. 1-9
2010
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BAALC is an important predictor of refractoriness to chemotherapy and poor survival in intermediate-risk acute myeloid leukemia (AML)
Annals of Hematology, Vol. 89, Núm. 5, pp. 453-458
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Long FLT3 internal tandem duplications and reduced PML-RARα expression at diagnosis characterize a high-risk subgroup of acute promyelocytic leukemia patients
Haematologica, Vol. 95, Núm. 5, pp. 745-751
2009
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Central nervous system involvement at first relapse in patients with acute promyelocytic leukemia treated with all-trans retinoic acid and anthracycline monochemotherapy without intrathecal prophylaxis
Haematologica, Vol. 94, Núm. 9, pp. 1242-1249
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High FOXO3a expression is associated with a poorer prognosis in AML with normal cytogenetics
Leukemia Research, Vol. 33, Núm. 12, pp. 1706-1709
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Molecular stratification model for prognosis in cytogenetically normal acute myeloid leukemia
Blood, Vol. 114, Núm. 1, pp. 148-152
2008
2007
2001
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Additional cytogenetic changes do not influence the outcome of patients with newly diagnosed acute promyelocytic leukemia treated with an ATRA plus anthracycline-based protocol. A report from the spanish group PETHEMA
Haematologica, Vol. 86, Núm. 8, pp. 807-813
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Early immunophenotypical evaluation of minimal residual disease in acute myeloid leukemia identifies different patient risk groups and may contribute to postinduction treatment stratification
Blood, Vol. 98, Núm. 6, pp. 1746-1751
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Pretreatment characteristics and clinical outcome of acute promyelocytic leukaemia patients according to the PML-RARα isoforms: A study of the PETHEMA group
British Journal of Haematology, Vol. 114, Núm. 1, pp. 99-103
2000
1999
1997
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Immunophenotyping investigation of minimal residual disease is a useful approach for predicting relapse in acute myeloid leukemia patients
Blood, Vol. 90, Núm. 6, pp. 2465-2470