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Multivariate and subgroup analyses of a randomized, multinational, phase 3 trial of decitabine vs treatment choice of supportive care or cytarabine in older patients with newly diagnosed acute myeloid leukemia and poor- or intermediate-risk cytogenetics
J. Mayer, C. Arthur, J. Delaunay, G. Mazur, XG. Thomas, A. Wierzbowska, F. Ravandi, E. Berrak, M. Jones, Y. Li, HM. Kantarjian,
Language English Country England, Great Britain
Document type Clinical Trial, Phase III, Comparative Study, Journal Article, Multicenter Study, Randomized Controlled Trial, Research Support, Non-U.S. Gov't
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BioMedCentral
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Free Medical Journals
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PubMed Central
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- MeSH
- Leukemia, Myeloid, Acute diagnosis drug therapy genetics MeSH
- Azacitidine administration & dosage analogs & derivatives MeSH
- Cytarabine administration & dosage MeSH
- Cytogenetic Analysis methods MeSH
- Internationality MeSH
- Humans MeSH
- Multivariate Analysis MeSH
- Antimetabolites, Antineoplastic administration & dosage MeSH
- Risk Factors MeSH
- Aged, 80 and over MeSH
- Aged MeSH
- Treatment Outcome MeSH
- Check Tag
- Humans MeSH
- Male MeSH
- Aged, 80 and over MeSH
- Aged MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Clinical Trial, Phase III MeSH
- Multicenter Study MeSH
- Research Support, Non-U.S. Gov't MeSH
- Randomized Controlled Trial MeSH
- Comparative Study MeSH
BACKGROUND: Compared with younger patients, older adults with acute myeloid leukemia (AML) generally have poorer survival outcomes and less benefit from clinical trials. A recent phase 3 trial demonstrated a trend toward improved overall survival (OS) with decitabine, a hypomethylating agent, compared with treatment choice of either cytarabine or supportive care (7.7 months, 95% CI: 6.2-9.2 vs 5.0 months, 95% CI: 4.3-6.3, respectively) in older adults with newly diagnosed AML. The current analyses investigated prognostic factors for outcomes in this trial and examined OS and responses in prespecified subgroups. METHODS: A multivariate Cox proportional hazards model was used to investigate effects of demographic and baseline characteristics, including age, sex, cytogenetic risk, AML type, ECOG Performance Status, geographic region, bone marrow blasts, platelets, and white blood cells on OS, based on mature data. Similar analyses were conducted with a logistic regression model to predict response rates. Prespecified subgroup analyses were performed for OS and response rates, also using mature data. RESULTS: Patient characteristics that appeared to negatively influence OS included more advanced age (hazard ratio [HR] 1.560 for ≥75 vs <70 years; p = 0.0010), poorer performance status at baseline (HR 0.771 for 0 or 1 vs 2; p = 0.0321), poor cytogenetics (HR 0.699 for intermediate vs poor; p = 0.0010), higher bone marrow blast counts (HR 1.355 for >50% vs ≤50%; p = 0.0045), low baseline platelet counts (HR 0.775 for each additional 100 × 109/L; p = 0.0015), and high white blood cell counts (HR 1.256 for each additional 25 × 109/L; p = 0.0151). Regarding geographic regions, patients from Western Europe had the longest median OS. Response rates favored decitabine for all subgroups investigated, including patients ≥75 years (odds ratio 5.94, p = 0.0006). CONCLUSION: Response to decitabine in AML is associated with known prognostic factors related to both patient demographics and disease characteristics. TRIAL REGISTRATION: ClinicalTrials.gov identifier NCT00260832.
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- $a BACKGROUND: Compared with younger patients, older adults with acute myeloid leukemia (AML) generally have poorer survival outcomes and less benefit from clinical trials. A recent phase 3 trial demonstrated a trend toward improved overall survival (OS) with decitabine, a hypomethylating agent, compared with treatment choice of either cytarabine or supportive care (7.7 months, 95% CI: 6.2-9.2 vs 5.0 months, 95% CI: 4.3-6.3, respectively) in older adults with newly diagnosed AML. The current analyses investigated prognostic factors for outcomes in this trial and examined OS and responses in prespecified subgroups. METHODS: A multivariate Cox proportional hazards model was used to investigate effects of demographic and baseline characteristics, including age, sex, cytogenetic risk, AML type, ECOG Performance Status, geographic region, bone marrow blasts, platelets, and white blood cells on OS, based on mature data. Similar analyses were conducted with a logistic regression model to predict response rates. Prespecified subgroup analyses were performed for OS and response rates, also using mature data. RESULTS: Patient characteristics that appeared to negatively influence OS included more advanced age (hazard ratio [HR] 1.560 for ≥75 vs <70 years; p = 0.0010), poorer performance status at baseline (HR 0.771 for 0 or 1 vs 2; p = 0.0321), poor cytogenetics (HR 0.699 for intermediate vs poor; p = 0.0010), higher bone marrow blast counts (HR 1.355 for >50% vs ≤50%; p = 0.0045), low baseline platelet counts (HR 0.775 for each additional 100 × 109/L; p = 0.0015), and high white blood cell counts (HR 1.256 for each additional 25 × 109/L; p = 0.0151). Regarding geographic regions, patients from Western Europe had the longest median OS. Response rates favored decitabine for all subgroups investigated, including patients ≥75 years (odds ratio 5.94, p = 0.0006). CONCLUSION: Response to decitabine in AML is associated with known prognostic factors related to both patient demographics and disease characteristics. TRIAL REGISTRATION: ClinicalTrials.gov identifier NCT00260832.
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