Connection

Co-Authors

This is a "connection" page, showing publications co-authored by ELIAS JOSEPH JABBOUR and KEYUR PRAVINCHANDRA PATEL.
  1. The outcomes of patients with chronic myeloid leukemia treated with third-line BCR::ABL1 tyrosine kinase inhibitors. Am J Hematol. 2023 04; 98(4):658-665.
    View in: PubMed
    Score: 0.220
  2. Hyper-CVAD and sequential blinatumomab for newly diagnosed Philadelphia chromosome-negative B-cell acute lymphocytic leukaemia: a single-arm, single-centre, phase 2 trial. Lancet Haematol. 2022 Dec; 9(12):e878-e885.
    View in: PubMed
    Score: 0.216
  3. High-sensitivity next-generation sequencing MRD assessment in ALL identifies patients at very low risk of relapse. Blood Adv. 2022 07 12; 6(13):4006-4014.
    View in: PubMed
    Score: 0.212
  4. TP53 mutation does not confer a poor outcome in adult patients with acute lymphoblastic leukemia who are treated with frontline hyper-CVAD-based regimens. Cancer. 2017 Oct 01; 123(19):3717-3724.
    View in: PubMed
    Score: 0.149
  5. Correlation of mutation profile and response in patients with myelofibrosis treated with ruxolitinib. Blood. 2015 Aug 06; 126(6):790-7.
    View in: PubMed
    Score: 0.130
  6. Outcome of Patients With Relapsed Acute Promyelocytic Leukemia. Clin Lymphoma Myeloma Leuk. 2024 Jun; 24(6):375-381.
    View in: PubMed
    Score: 0.059
  7. Azacitidine, Venetoclax, and Gilteritinib in Newly Diagnosed and Relapsed or Refractory FLT3-Mutated AML. J Clin Oncol. 2024 May 01; 42(13):1499-1508.
    View in: PubMed
    Score: 0.059
  8. Characteristics and outcomes of patients with chronic myeloid leukemia and T315I mutation treated in the pre- and post-ponatinib era. Am J Hematol. 2023 10; 98(10):1619-1626.
    View in: PubMed
    Score: 0.057
  9. Undetectable measurable residual disease is associated with improved outcomes in AML irrespective of treatment intensity. Blood Adv. 2023 07 11; 7(13):3284-3296.
    View in: PubMed
    Score: 0.057
  10. A phase 1/2 study of azacitidine, venetoclax and pevonedistat in newly diagnosed secondary AML and in MDS or CMML after failure of hypomethylating agents. J Hematol Oncol. 2023 07 08; 16(1):73.
    View in: PubMed
    Score: 0.057
  11. Ultrasensitive NGS MRD assessment in Ph+?ALL: Prognostic impact and correlation with RT-PCR for BCR::ABL1. Am J Hematol. 2023 08; 98(8):1196-1203.
    View in: PubMed
    Score: 0.056
  12. Clinical outcomes associated with NPM1 mutations in patients with relapsed or refractory AML. Blood Adv. 2023 03 28; 7(6):933-942.
    View in: PubMed
    Score: 0.056
  13. Immunophenotypic and genomic landscape of Richter transformation diffuse large B-cell lymphoma. Pathology. 2023 Jun; 55(4):514-524.
    View in: PubMed
    Score: 0.055
  14. Prediction of survival with lower intensity therapy among older patients with acute myeloid leukemia. Cancer. 2023 04 01; 129(7):1017-1029.
    View in: PubMed
    Score: 0.055
  15. ETNK1 mutation occurs in a wide spectrum of myeloid neoplasms and is not specific for atypical chronic myeloid leukemia. Cancer. 2023 03 15; 129(6):878-889.
    View in: PubMed
    Score: 0.055
  16. Differential prognostic impact of RUNX1 mutations according to frontline therapy in patients with acute myeloid leukemia. Am J Hematol. 2022 12; 97(12):1560-1567.
    View in: PubMed
    Score: 0.054
  17. 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: 0.054
  18. Clinical outcomes and impact of therapeutic intervention in patients with acute myeloid leukemia who experience measurable residual disease?(MRD) recurrence following MRD-negative remission. Am J Hematol. 2022 11; 97(11):E408-E411.
    View in: PubMed
    Score: 0.054
  19. Value of measurable residual disease monitoring in patients with acute promyelocytic leukemia in the era of frontline 'chemotherapy-free' therapy. Leuk Lymphoma. 2022 03; 63(3):672-675.
    View in: PubMed
    Score: 0.050
  20. Predictors of outcomes in adults with acute myeloid leukemia and KMT2A rearrangements. Blood Cancer J. 2021 09 29; 11(9):162.
    View in: PubMed
    Score: 0.050
  21. Incidental identification of inv(16)(p13.1q22)/CBFB-MYH11 variant transcript in a patient with therapy-related acute myeloid leukemia by routine leukemia translocation panel screen: implications for diagnosis and therapy. Cold Spring Harb Mol Case Stud. 2021 06; 7(3).
    View in: PubMed
    Score: 0.049
  22. Leukemia stemness and co-occurring mutations drive resistance to IDH inhibitors in acute myeloid leukemia. Nat Commun. 2021 05 10; 12(1):2607.
    View in: PubMed
    Score: 0.049
  23. Author Correction: Clonal evolution of acute myeloid leukemia revealed by high-throughput single-cell genomics. Nat Commun. 2021 May 10; 12(1):2823.
    View in: PubMed
    Score: 0.049
  24. Clinicopathologic correlates and natural history of atypical chronic myeloid leukemia. Cancer. 2021 09 01; 127(17):3113-3124.
    View in: PubMed
    Score: 0.049
  25. Impact of splicing mutations in acute myeloid leukemia treated with hypomethylating agents combined with venetoclax. Blood Adv. 2021 04 27; 5(8):2173-2183.
    View in: PubMed
    Score: 0.049
  26. Correction to: Outcomes with sequential FLT3-inhibitor-based therapies in patients with AML. J Hematol Oncol. 2021 Feb 23; 14(1):34.
    View in: PubMed
    Score: 0.048
  27. Patterns of Resistance Differ in Patients with Acute Myeloid Leukemia Treated with Type I versus Type II FLT3 inhibitors. Blood Cancer Discov. 2021 03; 2(2):125-134.
    View in: PubMed
    Score: 0.047
  28. Publisher Correction: Clonal evolution of acute myeloid leukemia revealed by high-throughput single-cell genomics. Nat Commun. 2020 Nov 19; 11(1):5996.
    View in: PubMed
    Score: 0.047
  29. Outcome of patients with IDH1/2-mutated post-myeloproliferative neoplasm AML in the era of IDH inhibitors. Blood Adv. 2020 11 10; 4(21):5336-5342.
    View in: PubMed
    Score: 0.047
  30. Clinical characteristics and outcomes in patients with acute myeloid leukemia with concurrent FLT3-ITD and IDH mutations. Cancer. 2021 02 01; 127(3):381-390.
    View in: PubMed
    Score: 0.047
  31. Clonal evolution of acute myeloid leukemia revealed by high-throughput single-cell genomics. Nat Commun. 2020 10 21; 11(1):5327.
    View in: PubMed
    Score: 0.047
  32. Outcomes with sequential FLT3-inhibitor-based therapies in patients with AML. J Hematol Oncol. 2020 10 08; 13(1):132.
    View in: PubMed
    Score: 0.047
  33. Genomic and Immunophenotypic Landscape of Aggressive NK-Cell Leukemia. Am J Surg Pathol. 2020 09; 44(9):1235-1243.
    View in: PubMed
    Score: 0.047
  34. Targeted next-generation sequencing of circulating cell-free DNA vs bone marrow in patients with acute myeloid leukemia. Blood Adv. 2020 04 28; 4(8):1670-1677.
    View in: PubMed
    Score: 0.046
  35. Outcomes of older patients with NPM1-mutated AML: current treatments and the promise of venetoclax-based regimens. Blood Adv. 2020 04 14; 4(7):1311-1320.
    View in: PubMed
    Score: 0.045
  36. 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: 0.045
  37. Long-term results of frontline dasatinib in chronic myeloid leukemia. Cancer. 2020 04 01; 126(7):1502-1511.
    View in: PubMed
    Score: 0.045
  38. Long-term results of a phase 2 trial of nilotinib 400?mg twice daily in newly diagnosed patients with chronic-phase chronic myeloid leukemia. Cancer. 2020 04 01; 126(7):1448-1459.
    View in: PubMed
    Score: 0.045
  39. NPM1 mutant variant allele frequency correlates with leukemia burden but does not provide prognostic information in NPM1-mutated acute myeloid leukemia. Am J Hematol. 2019 06; 94(6):E158-E160.
    View in: PubMed
    Score: 0.042
  40. New Tool for Monitoring Molecular Response in Patients With Chronic Myeloid Leukemia. Appl Immunohistochem Mol Morphol. 2019 01; 27(1):33-39.
    View in: PubMed
    Score: 0.042
  41. Efficacy, Safety, and Biomarkers of Response to Azacitidine and Nivolumab in Relapsed/Refractory Acute Myeloid Leukemia: A Nonrandomized, Open-Label, Phase II Study. Cancer Discov. 2019 03; 9(3):370-383.
    View in: PubMed
    Score: 0.041
  42. 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: 0.041
  43. Clearance of Somatic Mutations at Remission and the Risk of Relapse in Acute Myeloid Leukemia. J Clin Oncol. 2018 06 20; 36(18):1788-1797.
    View in: PubMed
    Score: 0.040
  44. Chronic lymphoproliferative disorder of NK-cells: A single-institution review with emphasis on relative utility of multimodality diagnostic tools. Eur J Haematol. 2018 May; 100(5):444-454.
    View in: PubMed
    Score: 0.039
  45. Myelodysplastic syndromes following therapy with hypomethylating agents (HMAs): development of acute erythroleukemia may not influence assessment of treatment response. Leuk Lymphoma. 2016; 57(4):812-9.
    View in: PubMed
    Score: 0.034
  46. Impact of BCR-ABL transcript type on outcome in patients with chronic-phase CML treated with tyrosine kinase inhibitors. Blood. 2016 Mar 10; 127(10):1269-75.
    View in: PubMed
    Score: 0.034
  47. 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: 0.033
  48. Sequential azacitidine and lenalidomide in patients with high-risk myelodysplastic syndromes and acute myeloid leukaemia: a single-arm, phase 1/2 study. Lancet Haematol. 2015 Jan; 2(1):e12-20.
    View in: PubMed
    Score: 0.031
  49. Lack of association of IDH1, IDH2 and DNMT3A mutations with outcome in older patients with acute myeloid leukemia treated with hypomethylating agents. Leuk Lymphoma. 2014 Aug; 55(8):1925-9.
    View in: PubMed
    Score: 0.030
  50. 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: 0.028
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

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