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KOICHI TAKAHASHI to Prognosis

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This is a "connection" page, showing publications KOICHI TAKAHASHI has written about Prognosis.
KOICHI TAKAHASHI
Connection Strength
0.652
Prognosis
  1. Preleukaemic clonal haemopoiesis and risk of therapy-related myeloid neoplasms: a case-control study. Lancet Oncol. 2017 01; 18(1):100-111.
    View in: PubMed
    Score: 0.039
  2. A propensity score matching analysis of dasatinib and nilotinib as a frontline therapy for patients with chronic myeloid leukemia in chronic phase. Cancer. 2016 Nov 15; 122(21):3336-3343.
    View in: PubMed
    Score: 0.038
  3. Clinical implications of TP53 mutations in myelodysplastic syndromes treated with hypomethylating agents. Oncotarget. 2016 Mar 22; 7(12):14172-87.
    View in: PubMed
    Score: 0.037
  4. CCL3 and CCL4 are biomarkers for B cell receptor pathway activation and prognostic serum markers in diffuse large B cell lymphoma. Br J Haematol. 2015 Dec; 171(5):726-35.
    View in: PubMed
    Score: 0.036
  5. Clinical characteristics and outcomes of therapy-related chronic myelomonocytic leukemia. Blood. 2013 Oct 17; 122(16):2807-11; quiz 2920.
    View in: PubMed
    Score: 0.031
  6. Dynamic acquisition of FLT3 or RAS alterations drive a subset of patients with lower risk MDS to secondary AML. Leukemia. 2013 Oct; 27(10):2081-3.
    View in: PubMed
    Score: 0.031
  7. Clinical and cytogenetic characteristics of myelodysplastic syndrome in patients with HIV infection. Leuk Res. 2012 Nov; 36(11):1376-9.
    View in: PubMed
    Score: 0.029
  8. Outcomes and genetic dynamics of acute myeloid leukemia at first relapse. Haematologica. 2024 Nov 01; 109(11):3543-3556.
    View in: PubMed
    Score: 0.017
  9. Mutation order in acute myeloid leukemia identifies uncommon patterns of evolution and illuminates phenotypic heterogeneity. Leukemia. 2024 Jul; 38(7):1501-1510.
    View in: PubMed
    Score: 0.016
  10. Influence of co-mutational patterns in disease phenotype and clinical outcomes of chronic myelomonocytic leukemia. Leukemia. 2024 May; 38(5):1178-1181.
    View in: PubMed
    Score: 0.016
  11. Prognostic risk signature in patients with acute myeloid leukemia treated with hypomethylating agents and venetoclax. Blood Adv. 2024 02 27; 8(4):927-935.
    View in: PubMed
    Score: 0.016
  12. Characteristics and clinical outcomes of patients with acute myeloid leukemia with inv(3)(q21q26.2) or t(3;3)(q21;q26.2). Haematologica. 2023 09 01; 108(9):2331-2342.
    View in: PubMed
    Score: 0.016
  13. Implications of RAS mutational status in subsets of patients with newly diagnosed acute myeloid leukemia across therapy subtypes. Am J Hematol. 2022 12; 97(12):1599-1606.
    View in: PubMed
    Score: 0.015
  14. Contemporary outcomes in IDH-mutated acute myeloid leukemia: The impact of co-occurring NPM1 mutations and venetoclax-based treatment. Am J Hematol. 2022 11; 97(11):1443-1452.
    View in: PubMed
    Score: 0.015
  15. Acquired WT1 mutations contribute to relapse of NPM1-mutated acute myeloid leukemia following allogeneic hematopoietic stem cell transplant. Bone Marrow Transplant. 2022 03; 57(3):370-376.
    View in: PubMed
    Score: 0.014
  16. Outcomes of acute lymphoblastic leukemia with KMT2A (MLL) rearrangement: the MD Anderson experience. Blood Adv. 2021 12 14; 5(23):5415-5419.
    View in: PubMed
    Score: 0.014
  17. Prognostic impact of conventional cytogenetics in acute myeloid leukemia treated with venetoclax and decitabine. Leuk Lymphoma. 2021 12; 62(14):3501-3505.
    View in: PubMed
    Score: 0.014
  18. Donor clonal hematopoiesis increases risk of acute graft versus host disease after matched sibling transplantation. Leukemia. 2022 01; 36(1):257-262.
    View in: PubMed
    Score: 0.013
  19. Venetoclax Combined With FLAG-IDA Induction and Consolidation in Newly Diagnosed and Relapsed or Refractory Acute Myeloid Leukemia. J Clin Oncol. 2021 09 01; 39(25):2768-2778.
    View in: PubMed
    Score: 0.013
  20. Ibrutinib, fludarabine, cyclophosphamide, and obinutuzumab (iFCG) regimen for chronic lymphocytic leukemia (CLL) with mutated IGHV and without TP53 aberrations. Leukemia. 2021 12; 35(12):3421-3429.
    View in: PubMed
    Score: 0.013
  21. Clinicopathologic correlates and natural history of atypical chronic myeloid leukemia. Cancer. 2021 09 01; 127(17):3113-3124.
    View in: PubMed
    Score: 0.013
  22. Prognostic value of measurable residual disease after venetoclax and decitabine in acute myeloid leukemia. Blood Adv. 2021 04 13; 5(7):1876-1883.
    View in: PubMed
    Score: 0.013
  23. Prognostic and therapeutic impacts of mutant TP53 variant allelic frequency in newly diagnosed acute myeloid leukemia. Blood Adv. 2020 11 24; 4(22):5681-5689.
    View in: PubMed
    Score: 0.013
  24. Phase II trial of CPX-351 in patients with acute myeloid leukemia at high risk for induction mortality. Leukemia. 2020 11; 34(11):2914-2924.
    View in: PubMed
    Score: 0.013
  25. Genomic context and TP53 allele frequency define clinical outcomes in TP53-mutated myelodysplastic syndromes. Blood Adv. 2020 02 11; 4(3):482-495.
    View in: PubMed
    Score: 0.012
  26. Impact of the variant allele frequency of ASXL1, DNMT3A, JAK2, TET2, TP53, and NPM1 on the outcomes of patients with newly diagnosed acute myeloid leukemia. Cancer. 2020 02 15; 126(4):765-774.
    View in: PubMed
    Score: 0.012
  27. The landscape of genetic mutations in patients with chronic lymphocytic leukaemia and complex karyotype. Br J Haematol. 2019 10; 187(1):e1-e4.
    View in: PubMed
    Score: 0.012
  28. Clonal hematopoiesis of indeterminate potential-associated mutations and risk of comorbidities in patients with myelodysplastic syndrome. Cancer. 2019 07 01; 125(13):2233-2241.
    View in: PubMed
    Score: 0.012
  29. A phase 2 study of ruxolitinib in combination with azacitidine in patients with myelofibrosis. Blood. 2018 10 18; 132(16):1664-1674.
    View in: PubMed
    Score: 0.011
  30. MYC protein expression is an important prognostic factor in acute myeloid leukemia. Leuk Lymphoma. 2019 01; 60(1):37-48.
    View in: PubMed
    Score: 0.011
  31. Improving the detection of patients with inherited predispositions to hematologic malignancies using next-generation sequencing-based leukemia prognostication panels. Cancer. 2018 07 01; 124(13):2704-2713.
    View in: PubMed
    Score: 0.011
  32. Prediction for sustained deep molecular response of BCR-ABL1 levels in patients with chronic myeloid leukemia in chronic phase. Cancer. 2018 03 15; 124(6):1160-1168.
    View in: PubMed
    Score: 0.011
  33. Natural history of chronic myelomonocytic leukemia treated with hypomethylating agents. Am J Hematol. 2017 Jul; 92(7):599-606.
    View in: PubMed
    Score: 0.010
  34. PDE4 Differential Expression Is a Potential Prognostic Factor and Therapeutic Target in Patients With Myelodysplastic Syndrome and Chronic Myelomonocytic Leukemia. Clin Lymphoma Myeloma Leuk. 2016 08; 16 Suppl:S67-73.
    View in: PubMed
    Score: 0.010
  35. Myeloid neoplasms with isolated isochromosome 17q demonstrate a high frequency of mutations in SETBP1, SRSF2, ASXL1 and NRAS. Oncotarget. 2016 Mar 22; 7(12):14251-8.
    View in: PubMed
    Score: 0.009
  36. Down-regulation of EZH2 expression in myelodysplastic syndromes. Leuk Res. 2016 May; 44:1-7.
    View in: PubMed
    Score: 0.009
  37. Detectable FLT3-ITD or RAS mutation at the time of transformation from MDS to AML predicts for very poor outcomes. Leuk Res. 2015 Dec; 39(12):1367-74.
    View in: PubMed
    Score: 0.009
  38. Characteristics, clinical outcome, and prognostic significance of IDH mutations in AML. Am J Hematol. 2015 Aug; 90(8):732-6.
    View in: PubMed
    Score: 0.009
  39. IDH1 and IDH2 mutations in myelodysplastic syndromes and role in disease progression. Leukemia. 2016 Apr; 30(4):980-4.
    View in: PubMed
    Score: 0.009
  40. Acquisition of cytogenetic abnormalities in patients with IPSS defined lower-risk myelodysplastic syndrome is associated with poor prognosis and transformation to acute myelogenous leukemia. Am J Hematol. 2013 Oct; 88(10):831-7.
    View in: PubMed
    Score: 0.008
Connection Strength

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Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.