Prediction of survival with lower intensity therapy among older patients with acute myeloid leukemia

被引:6
|
作者
Sasaki, Koji [1 ,3 ]
Ravandi, Farhad [1 ]
Kadia, Tapan M. [1 ]
Borthakur, Gautam [1 ]
Short, Nicholas J. [1 ]
Jain, Nitin [1 ]
Daver, Naval G. [1 ]
Jabbour, Elias J. [1 ]
Garcia-Manero, Guillermo [1 ]
Loghavi, Sanam [2 ]
Patel, Keyur P. [2 ]
Montalban-Bravo, Guillermo [1 ]
Masarova, Lucia [1 ]
DiNardo, Courtney D. [1 ]
Kantarjian, Hagop M. [1 ]
机构
[1] Univ Texas MD Anderson Canc Ctr, Dept Leukemia, Houston, TX USA
[2] Univ Texas MD Anderson Canc Ctr, Dept Hematopathol, Houston, TX USA
[3] Univ Texas MD Anderson Canc Ctr, Dept Leukemia, 1515 Holcombe Blvd Box 428, Houston, TX 77030 USA
关键词
acute myeloid leukemia; early mortality; lower-intensity chemotherapy; molecular abnormalities; mutations; predictive model; survival; RISK MYELODYSPLASTIC SYNDROME; LOW-DOSE CYTARABINE; CONVENTIONAL CARE REGIMENS; GEMTUZUMAB OZOGAMICIN; ELDERLY-PATIENTS; INDUCTION CHEMOTHERAPY; SINGLE-CENTER; OPEN-LABEL; PHASE-II; AZACITIDINE;
D O I
10.1002/cncr.34609
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
BackgroundThe aim of this study was to develop a prognostic model for survival in older/unfit patients with newly diagnosed acute myeloid leukemia (AML) who were treated with lower-intensity chemotherapy regimens. MethodsThe authors reviewed all older/unfit patients with newly diagnosed AML who received lower-intensity chemotherapy from 2000 until 2020 at their institution. A total of 1462 patients were included. They were divided (3:1 basis) into a training (n = 1088) and a validation group (n = 374). ResultsIn the training cohort of 1088 patients (median age, 72 years), the multivariate analysis identified 11 consistent independent adverse factors associated with survival: older age, therapy-related myeloid neoplasm, existence of previous myelodysplastic syndrome or myeloproliferative neoplasms, poor performance status, pulmonary comorbidity, anemia, thrombocytopenia, elevated lactate dehydrogenase, cytogenetic abnormalities, and the presence of infection at diagnosis, and therapy not containing venetoclax. The 3-year survival rates were 52%, 24%, 10%, and 1% in favorable, intermediate, poor, and very poor risk, respectively. This survival model was validated in an independent cohort. In a subset of patients in whom molecular mutation profiles were performed in more recent times, adding the mutation profiles after accounting for the effects of previous factors identified IDH2 (favorable), NPM1 (favorable), and TP53 (unfavorable) mutations as molecular prognostic factors. ConclusionThe proposed survival model with lower-intensity chemotherapy in older/unfit patients with newly diagnosed AML may help to advise patients on their expected outcome, to propose different strategies in first complete remission, and to compare the results of different existing or future investigational therapies. Plain Language Summary Lower intensity therapy can be considered for older patients to avoid severe toxicities and adverse events.However, survival prediction in AML was commonly developed in patients who received intensive chemotherapy.In this study, we have proposed a survival model to guide therapeutic approach in older patients who received lower-intensity therapy.
引用
收藏
页码:1017 / 1029
页数:13
相关论文
共 50 条
  • [31] Effective Prognostic Model for Therapy Response Prediction in Acute Myeloid Leukemia Patients
    Kolesnikova, Maria A.
    Sen'kova, Aleksandra V.
    Pospelova, Tatiana I.
    Zenkova, Marina A.
    JOURNAL OF PERSONALIZED MEDICINE, 2023, 13 (08):
  • [32] Differentiation syndrome with lower-intensity treatments for acute myeloid leukemia
    Fathi, Amir T.
    Stein, Eytan M.
    DiNardo, Courtney D.
    Levis, Mark J.
    Montesinos, Pau
    de Botton, Stephane
    AMERICAN JOURNAL OF HEMATOLOGY, 2021, 96 (06) : 735 - 746
  • [33] VARYING INTENSITY OF POSTREMISSION THERAPY IN ACUTE MYELOID-LEUKEMIA
    CASSILETH, PA
    LYNCH, E
    HINES, JD
    OKEN, MM
    MAZZA, JJ
    BENNETT, JM
    MCGLAVE, PB
    EDELSTEIN, M
    HARRINGTON, DP
    OCONNELL, MJ
    BLOOD, 1992, 79 (08) : 1924 - 1930
  • [34] Novel drugs for older patients with acute myeloid leukemia
    G Montalban-Bravo
    G Garcia-Manero
    Leukemia, 2015, 29 : 760 - 769
  • [35] The artful management of older patients with acute myeloid leukemia
    Yang, Jay
    Schiffer, Charles A.
    EXPERT REVIEW OF HEMATOLOGY, 2016, 9 (05) : 425 - 432
  • [36] Defining Acute Myeloid Leukemia Ontogeny in Older Patients
    Melody, Megan
    Kuykendall, Andrew
    Sallman, David
    Al Ali, Najla
    Zhang, Ling
    Talati, Chetasi
    Padron, Eric
    Sweet, Kendra
    Extermann, Martine
    List, Alan
    Lancet, Jeffrey
    Komrokji, Rami
    CLINICAL LYMPHOMA MYELOMA & LEUKEMIA, 2020, 20 (05): : 312 - 315
  • [37] Management of older or unfit patients with acute myeloid leukemia
    Walter, R. B.
    Estey, E. H.
    LEUKEMIA, 2015, 29 (04) : 770 - 775
  • [38] Acute myeloid leukemia and myelodysplastic syndromes in older patients
    Estey, Elihu
    JOURNAL OF CLINICAL ONCOLOGY, 2007, 25 (14) : 1908 - 1915
  • [39] What Is Better for Older Patients With Acute Myeloid Leukemia?
    Ferrara, Felicetto
    Musto, Pellegrino
    JOURNAL OF CLINICAL ONCOLOGY, 2013, 31 (06) : 820 - 821
  • [40] Geriatric Assessment in Older Patients with Acute Myeloid Leukemia
    Loh, Kah Poh
    Klepin, Heidi D.
    CANCERS, 2018, 10 (07):