Literature DB >> 28489568

Efficacy and safety of decitabine in treatment of elderly patients with acute myeloid leukemia: A systematic review and meta-analysis.

Pin-Fang He1,2, Jing-Dong Zhou3, Dong-Ming Yao4, Ji-Chun Ma1,2, Xiang-Mei Wen1,2, Zhi-Hui Zhang3, Xin-Yue Lian3, Zi-Jun Xu1,2, Jun Qian3, Jiang Lin1,2.   

Abstract

Elderly patients with acute myeloid leukemia (AML) have limited treatment options concerned about their overall fitness and potential treatment related mortality. Although a number of clinical trials demonstrated benefits of decitabine treatment in elderly AML patients, the results remains controversial. A meta-analysis was performed to evaluate efficacy and safety of decitabine in treatment of elderly AML patients. Eligible studies were identified from PubMed, Web of Science, Embase and Cochrane Library. Nine published studies were included in the meta-analysis, enrolling 718 elderly AML patients. The efficacy outcomes were complete remission (CR), overall response rate (ORR) and overall survival (OS). Safety was evaluated based on treatment related grades 3-4 adverse events (AEs) and early death (ED) rate. Pooled estimates with 95% confidence interval (CI) for CR, ORR and OS were 27% (95% CI 19%-36%), 37% (95% CI 28%-47%) and 8.09 months (95% CI 5.77-10.41), respectively. The estimated treatment related early death (ED) incidences were within 30-days 7% (95% CI 2%-11%) and 60-days 17% (95% CI 11%-22%), respectively. Thrombocytopenia was the most common grades 3-4 AEs. Subgroup analyses of age, cytogenetics risk, AML type and bone marrow blast percentage showed no significant differences of treatment response to decitabine. In conclusion, decitabine is an effective and well-tolerated therapeutic alternative with acceptable side effects in elderly AML patients.

Entities:  

Keywords:  acute myeloid leukemia (AML); decitabine; elderly patient; meta-analysis; systematic review

Mesh:

Substances:

Year:  2017        PMID: 28489568      PMCID: PMC5522197          DOI: 10.18632/oncotarget.17241

Source DB:  PubMed          Journal:  Oncotarget        ISSN: 1949-2553


INTRODUCTION

Acute myeloid leukemia (AML) is a heterogeneous malignant disease, characterized by clonal abnormal proliferation of hematopoietic stem or progenitor cells, causing marrow failure and death within months or even weeks if diagnosis and treatment time is delayed [1]. The incidence of AML increases progressively with age, and advanced age is an adverse prognostic factor in AML patients [2, 3]. Poor prognosis of elderly AML patients is due to several different factors, including comorbid conditions, decreased organ function, poor performance status and a higher incidence of adverse karyotypes [4, 5]. Although intensive chemotherapy can bring a high rate of complete remission (CR) in elderly AML patients, the probable toxicity and fatal side effects limit the extensive application in elderly patients unfit for intensive therapy [6]. Decitabine (5-aza-2′-deoxycytidine, dacogen), a hypomethylating agent, is a deoxynucleoside analogue of cytidine which has hypomethylating effect on DNA at low-dose. Hypomethylating agents, demethylating the promoters of tumor suppressor genes and reactivating their expression, have shown potential roles in the treatment of newly diagnosed myeloid malignancies [7]. Decitabine is firstly approved for the treatment of patients with Myelodysplastic syndrome (MDS) and is also introduced for the treatment of unfit AML patients. Decitabine is already approved in the European Union for AML patients aged > 65 years who are not eligible for standard induction chemotherapy. Whereas it is not approved in the United States to treat this same group of patients, since a multicenter phase III study was failed statistically to show that elderly AML patients received decitabine lived longer than control group. Multiple clinical trials have been taken to evaluate the treatment advantages of decitabine in elderly AML patients. The purpose of this study was to assess what is currently known about the efficacy and safety of decitabine in elderly AML patients by performing a meta-analysis.

MATERIALS AND METHODS

Evidence identification

We performed a comprehensive search of relevant published studies from databases including PubMed, Web of Science, Embase and Cochrane Library. Additional literatures were further investigated through manual search from relevant reference lists to identify any relevant trials. The search strategy was based on the following combined MeSH terms: (“decitabine” or “5-aza-2′-deoxycytidine” or “dacogen”) and (“acute myeloid leukemia” or “AML”) and (“older” or “elderly”). Restrictions were made on publication language (English only) and population (AML patients aged over 60 years). The publication year was not restricted, and final update of the search was conducted on February 2017.

Study selection and data extraction

Publications were eligible for this meta-analysis if they met the following inclusion criteria: (1) original research investigated decitabine in treatment of elderly AML; (2) elderly patients aged ≥ 60 years and met the diagnostic criteria for AML; (3) decitabine used as monotherapy in previously untreated elderly AML patients; (4) provided sufficient information on at least one of the following survival outcomes: CR, overall response rate (ORR) and overall survival (OS); (5) studies are clinical trial, and at least 10 or more patients included in the trial. To minimize bias in the selected literatures, two reviewers independently checked each full-text paper for eligibility according to the same inclusion criteria. Any disagreements were further discussed and resolved by consensus or third party arbitration. General information extracted from eligible studies including first author's name, year of publication, country of origin, trial design, and exact number of patients. The efficacy endpoints of interest were survival outcomes, including CR, ORR and OS. The safety endpoints were treatment related grades 3–4 adverse events (AEs) and early death (ED) rate.

Definition of outcomes and risk of bias in individual studies

Outcomes were defined according to the 2003 revised International Working Group response criteria [8]. CR was defined by the presence of the following: with < 5% blasts in bone marrow, with > 1.0 × 109/L neutrophils and > 100 × 109 /L platelet in peripheral blood, and without evidence of extramedullary leukemia. ORR was composed of complete remission, complete remission with incomplete leukocyte or platelet recovery (CRi) and partial response. OS was measured from the date of entry onto a study until death from any cause or was censored at the last follow-up. Each included study was individually assessed risk of bias according to The Cochrane Collaboration's Risk of Bias Assessment Tool following characteristics: sequence generation, allocation concealment, blinding of participants, incomplete outcome data, selective outcome reporting, other sources of bias [9].

Statistical analysis

The presence of heterogeneity was quantified using the I2 statistic, which calculates values between 0 and 100%. Higher value indicates a greater degree of heterogeneity. As a cut-off P > 0.05 or I2 < 50%, fixed-effects model was applied. Otherwise, random-effects model was applied. Estimated proportions (ES) with 95% confidence intervals (CIs) were calculated for ratio outcomes. Dichotomous variables were pooled by odds ratio (OR) as an effective measurement. Considering some significant prognosis factors, subgroup analyses for response rate were performed based on age, cytogenetics risk, AML type and bone marrow blast if relevant data were available. Funnel plots were inappropriate to present as the total number of included studies were 9 (< 10). Sensitivity analyses were performed by deletion of each single study to evaluate stability of the results. We conducted all the statistical analyses by using Stata software, version 12.0 (Stata Corp, College Station, TX, USA).

RESULTS

Study characteristics

A total of 1,358 citations were identified using the initial search strategy, and detailed selection process was illustrated in Figure 1. The yielded 9 studies including 718 patients ultimately qualified for our inclusion criteria in this meta-analysis [10-18]. Characteristics of included studies were summarized in Table 1. Publication years of these studies were ranged from 2010 to 2016. Decitabine treatment schedule varied in the 9 trials. Outcomes of efficacy and safety endpoints in the included patients were presented in Table 2. Baseline characteristics of eligible patients including age, gender, AML type, cytogenetics risk and bone marrow blast were described in Supplementary Table 1.
Figure 1

Flow diagram of the included studies selection

AML, Acute myeloid leukemia.

Table 1

General characteristics of the included studies

First AuthorYearCountryStudy-centerPhaseDose and schedule of decitabineTrial Sponsor
Jacob et al. [10]2015IndiaNRNR20 mg/m2 5-days 4 weeksNR
Yan et al. [11]2012AmericaSingle-centerPhase II20 mg/m2 10-days 4 weeksNational Cancer Institute
Ritchie et al. [12]2013AmericaSingle-centerNR20 mg/m2 10-days 4 weeksLeukemia Fighters™
Cashen et al. [13]2010AmericaMulticenterPhase II20 mg/m2 5-days 4 weeksNR
Blum et al. [14]2010AmericaSingle-centerPhase II20 mg/m2 10-days 4 weeksNational Cancer Institute
Tawfik et al. [15]2014AmericaSingle-centerNR20 mg/m2 5-days 4 weeksNational Cancer Institute
Kantarjian et al. [16]2012AmericaMulticenterPhase III20 mg/m2 5-days 4 weeksMDACC and others
Lübbert et al. [17]2011GermanyMulticenterPhase II15 mg/m2 3-days 6weeks*European LeukemiaNet
Park et al. [18]2016KoreaSingle-centerNR20 mg/m2 5-days 4 weeksYonsei University

Abbreviations: NR: Not Reached; 15 mg/m2 3-days 6weeks*: 15 mg/m2, three times daily on 3 consecutive days. MDACC: M.D. Anderson Cancer Center.

Table 2

Outcomes of efficacy and safety endpoints in the included patients

First AuthorNo. patientsMedian age (years)Gender (male%)CR rateORROS (month) rangeED rate
30-days60days
Jacob et al. [10]156580NANA5.5 (1.5–13)0.0670.067
Yan et al. [11]1675500.5630.563NANANA
Ritchie et al. [12]5275440.4040.40410.3(8.8–11.6)0.0580.154
Cashen et al. [13]5574510.2400.2507.7(5.7–11.6)NANA
Blum et al. [14]5374640.4700.64013.7(9–18)0.020.15
Tawfik et al. [15]3475500.1800.2653.4(1.3–7.4)0.150.38
Kantarjian et al. [16]24273570.1570.2777.7(6.2–9.2)0.090.197
Lübbert et al. [17]22772610.1320.260NANA0.128
Park et al. [18]2473500.2500.500NANANA

Abbreviations: No.: Number; NA: Not Available; CR: complete remission; ORR: overall response rate; OS: overall survival; ED: early death.

Flow diagram of the included studies selection

AML, Acute myeloid leukemia. Abbreviations: NR: Not Reached; 15 mg/m2 3-days 6weeks*: 15 mg/m2, three times daily on 3 consecutive days. MDACC: M.D. Anderson Cancer Center. Abbreviations: No.: Number; NA: Not Available; CR: complete remission; ORR: overall response rate; OS: overall survival; ED: early death.

Efficacy

Eligible studies were pooled into one dataset for meta-analysis, random-effects models were used to calculate response rates and survival. CR rates were assessed in eight articles [11-18]. Pooled estimate for overall CR rate was 27% (95% CI 19%–36%, Figure 2A). In subgroup analysis of therapy schedule, data from 3-days 6 weeks course showed that CR rate was 13% (95% CI 9%–18%), and the 5-days 4 weeks course showed a CR rate of 17% (95% CI 13%–21%). The patients treated with 10-days 4 weeks course achieved a significantly higher CR rate of 45% (95% CI 37%–54%) than the other two courses (P < 0.001).
Figure 2

Forest plots of efficacy endpoints of the decitabine treated elderly AML patients

Pooled estimated proportions (95% confidence interval) were generated with random effects models and the respective forest plots are reported: (A) complete remission (CR); (B) overall response rate (ORR); (C) overall survival (OS).

Forest plots of efficacy endpoints of the decitabine treated elderly AML patients

Pooled estimated proportions (95% confidence interval) were generated with random effects models and the respective forest plots are reported: (A) complete remission (CR); (B) overall response rate (ORR); (C) overall survival (OS). ORR was evaluated in eight studies [11-18]. Pooled estimate for ORR of decitabine treated patients was 37% (95% CI 28%–47%, Figure 2B). Subgroup analysis of ORR with 3-days 6 weeks course was 26% (95% CI 20%–32%) and 5-days 4 weeks course was 29% (95% CI 22%–37%). Patients treated with the 10-days 4 weeks course showed a relatively higher ORR of 53% (95% CI 37%–70%). In the different treatment schedule, ORR presented a consistent pattern with CR, 10-days 4 weeks course showed significantly better response than the other two courses (P = 0.001). The OS of elderly AML patients treated with decitabine was analysed in six articles [10, 12–16]. Pooled estimate of OS was 8.09 months (95% CI 5.77–10.41, Figure 2C). In subgroup analysis of therapy schedule, OS of 5-days 4 weeks course was 6.40 months (95% CI 4.24–8.56) and 10-days 4 weeks course was 11.30 months (95% CI 8.26–14.34). Subgroup analysis showed that 10-days 4 weeks course achieved a relatively prolonged survival.

Safety

Regarding toxicity of decitabine, seven studies appraised treatment related grades 3–4 AEs [10, 12–14, 16–18], random-effects model was applied. Myelosuppression was the most common toxicity observed in decitabine treated patients. The reported high risks of treatment related AEs were presented in Figure 3: thrombocytopenia 40% (95% CI 28%–53%), febrile neutropenia 38% (95% CI 23%–53%), neutropenia 37% (95% CI 22%–51%), anemia 36% (95% CI 23%–48%) and fatigue 15% (95% CI 4%–26%). Occurrence of treatment associated infections was 36% (95% CI 24%–48%), pneumonia (25%) and sepsis (9%) were the most frequent infectious complications.
Figure 3

Forest plot of the estimated proportions of most frequent grade 3-4 adverse events (AEs)

Pooled estimated proportions (95% confidence interval) were generated with random effects model.

Forest plot of the estimated proportions of most frequent grade 3-4 adverse events (AEs)

Pooled estimated proportions (95% confidence interval) were generated with random effects model. Decitabine treatment related ED rates were analysed in six studies [10, 12, 14–17], random-effects model were adopted. Death within 30-days was 7% (95% CI 2%–11%) and 60-days mortality was 17% (95% CI 11%–22%, Figure 4A). Subgroup analysis of the association between ED rate and decitabine course with 5-days and 10-days was 31% (95% CI 13%-49%) and 19% (95% CI 11%–26%), respectively (Figure 4B). ED rates analyses showed that there was no significant difference in mortality between 5-days and 10-days courses treatment (P = 0.072).
Figure 4

Forest plots of ED rates in elderly AML patients treated with decitabine

Pooled estimated proportions (95% confidence interval) were generated with random effects models: (A) ED rates of different periods; (B) ED rates of different decitabine schedules.

Forest plots of ED rates in elderly AML patients treated with decitabine

Pooled estimated proportions (95% confidence interval) were generated with random effects models: (A) ED rates of different periods; (B) ED rates of different decitabine schedules.

Subgroup analyses

Subgroup analyses of age, cytogenetics risk, AML type and bone marrow blast percentage of response to decitabine were performed (Figure 5). A slightly higher proportion of patients with more advanced age (≥ 70 years), odds ratio of patients aged < 70 versus those aged ≥ 70 was 1.09 (95% CI 0.71–1.68, P = 0.691), the two age groups showed equivalent effect to decitabine. Sub-analysis of cytogenetics risk, response odds ratio of intermediate-risk versus poor-risk was 1.15 (95% CI 0.76–1.74, P = 0.497), favorable-risk was not available to evaluate because of insufficient data. Treatment response of patients diagnosed with de novo AML compared secondary AML, odds ratio was 1.19 (95% CI 0.68–2.09, P = 0.552), suggesting that decitabine have similar effects to the two AML type. Odds ratio of patients with bone marrow blast < 30% and bone marrow blast ≥ 30% was 1.36 (95% CI 0.97–2.36, P = 0.266), decitabine treatment response did not show significant difference in patient with discrepant bone marrow blast percentage.
Figure 5

Odds ratio of decitabine response in AML patients according to age, cytogenetics risk, AML type and bone marrow blast percentage

(A) Odds ratio of decitabine treatment response in elderly AML patients aged < 70 years and ≥ 70 years. (B) Odds ratio of decitabine treatment response in elderly AML patients cytogenetically profiled with intermediate-risk and poor-risk. (C) Odds ratio of decitabine treatment response in elderly patients diagnosed with de novo AML and secondary AML. (D) Odds ratio of decitabine treatment response in elderly AML patients with bone marrow blast < 30% and bone marrow blast ≥ 30%.

Odds ratio of decitabine response in AML patients according to age, cytogenetics risk, AML type and bone marrow blast percentage

(A) Odds ratio of decitabine treatment response in elderly AML patients aged < 70 years and ≥ 70 years. (B) Odds ratio of decitabine treatment response in elderly AML patients cytogenetically profiled with intermediate-risk and poor-risk. (C) Odds ratio of decitabine treatment response in elderly patients diagnosed with de novo AML and secondary AML. (D) Odds ratio of decitabine treatment response in elderly AML patients with bone marrow blast < 30% and bone marrow blast ≥ 30%.

Risk of bias within studies and sensitivity analyses

Based on the risk of bias assessment criteria, included 9 studies were classified into class B. Detailed assessment information was summarized in Supplementary Table 2. Sensitivity analyses indicated that excluding any single study did not significantly affect the pooled outcomes, suggesting the results of our meta-analysis were stable.

DISCUSSION

Elderly AML patients are generally less capable of tolerating intensive cytotoxic induction and post-remission chemotherapy. The development of hypomethylating agents provides an alternative treatment strategy [19-28]. This meta-analysis showed that decitabine brought considerable treatment response in elderly AML patients. Preliminary data indicated longer exposure times to decitabine showed an improved response rate and relatively prolonged survival. The dose schedule of decitabine did not seem to affect ED rate with patients receiving 10-days decitabine (19%) compared with those received 5-days course (31%). Neutropenia and thrombocytopenia related to myelosuppression were common during decitabine treatment. Prospective clinical trials that directly compared decitabine courses are still needed to confirm the more optimal administration. Age and cytogenetics risk are important prognostic impact factors of AML patients, this meta-analysis suggests that decitabine can overcome the negative prognostic factors such as advanced age, unfavorable cytogenetic features and even bone marrow blasts ≥ 30%. In addition, chemotherapy outcomes for secondary AML are generally dismal, but decitabine can present comparable effect of de novo AML and secondary AML. Another important factor affecting the prognosis of patients is gene mutations, controversy still exists on predictive value of genetic characteristics (DNA methylation changes and mutations in DNMT3A, TET2, IDH1, IDH2, ASXL1 and expression of miR-29b) to guide decitabine therapy in previous studies [11, 14, 29–33]. Recently, Welch reported that all patients with TP53 mutation had a response to 10-day courses of decitabine, and 67% of patients with unfavorable-risk cytogenetic responded to decitabine treatment, survival rate among patients with unfavorable-risk were similar to those with intermediate-risk [34]. TP53 mutations tend to be occurred in older patients with AML, whereas TP53 mutations are usually associated with poor prognosis and low response to standard cytotoxic therapy [35-36]. Welch's trial suggested that decitabine could induce favourable clinical response in patients with AML who have TP53 mutations and who have unfavorable cytogenetic profile. Decitabine demonstrated activity alone and with combination in elderly AML patients [37-45]. A multicenter, randomized phase III trial indicated that decitabine achieved a higher response rate and a trend toward improved OS compared with low-dose cytarabine or supportive care (7.7 months vs 5.0 months, respectively. P = 0.108) in AML patients aged ≥ 65 years [16]. Decitabine also showed considerable effect compared with intensive chemotherapy in two retrospective studies [21-22]. Gupta N et al and Quintás CA et al reported that intensive chemotherapy could lead higher response rates but no statistically significant differences in OS compared with decitabine induction in older AML patients, and treatment-related ED rate was not statistically different in the two groups. These studies again suggest the potential role of decitabine in elderly patients with AML who cannot tolerate intensive chemotherapy. A phase II, open label trial from China reported an encouraging result in elderly AML patients treated with decitabine in combination with cytarabine, aclarubicin, and granulocyte-colony stimulating factor (decitabine-CAG) [45]. Decitabine-CAG combination regimen showed favorable response rates (CR 64.7% and ORR 82.4%) and low treatment-related adverse effects (induction mortality 4.4%). A significantly longer median OS in patients with response (16 months) was observed. This study suggests that development of more effective strategies is imperative. Limitations of our analysis should be considered when interpreting the outcomes. First, despite the same inclusion criteria, significant heterogeneity was detected. Second, sample size of subgroup analyses was relatively small. Third, we didn't explore gene mutation and treatment response interactions because of the insufficient data. Finally, considering a higher quality and credibility of eligible studies, only published studies were included. Confounding cannot be avoided and should be considered in this meta-analysis. Despite these limitations, our review is the first comprehensive meta-analysis of all eligible studies on the efficacy and safety of decitabine treated elderly AML patients. In conclusion, our meta-analysis suggests that decitabine is an effective and well-tolerated therapeutic alternative with acceptable side effects in elderly AML patients. To improve the overall response and maintain durable remission, further studies should focus on determining the best administration schedule and developing the optimal combination with decitabine.
  44 in total

1.  Phase I study of decitabine alone or in combination with valproic acid in acute myeloid leukemia.

Authors:  William Blum; Rebecca B Klisovic; Bjoern Hackanson; Zhongfa Liu; Shujun Liu; Hollie Devine; Tamara Vukosavljevic; Lenguyen Huynh; Gerard Lozanski; Cheryl Kefauver; Christoph Plass; Steven M Devine; Nyla A Heerema; Anthony Murgo; Kenneth K Chan; Michael R Grever; John C Byrd; Guido Marcucci
Journal:  J Clin Oncol       Date:  2007-08-06       Impact factor: 44.544

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Authors:  Joseph M Scandura; Gail J Roboz; Michelle Moh; Ewelina Morawa; Fabienne Brenet; J Robi Bose; Luis Villegas; Usama S Gergis; Sebastian A Mayer; Cindy M Ippoliti; Tania J Curcio; Ellen K Ritchie; Eric J Feldman
Journal:  Blood       Date:  2011-05-25       Impact factor: 22.113

3.  Clinical response and miR-29b predictive significance in older AML patients treated with a 10-day schedule of decitabine.

Authors:  William Blum; Ramiro Garzon; Rebecca B Klisovic; Sebastian Schwind; Alison Walker; Susan Geyer; Shujun Liu; Violaine Havelange; Heiko Becker; Larry Schaaf; Jon Mickle; Hollie Devine; Cheryl Kefauver; Steven M Devine; Kenneth K Chan; Nyla A Heerema; Clara D Bloomfield; Michael R Grever; John C Byrd; Miguel Villalona-Calero; Carlo M Croce; Guido Marcucci
Journal:  Proc Natl Acad Sci U S A       Date:  2010-04-05       Impact factor: 11.205

4.  TET2 mutations improve the new European LeukemiaNet risk classification of acute myeloid leukemia: a Cancer and Leukemia Group B study.

Authors:  Klaus H Metzeler; Kati Maharry; Michael D Radmacher; Krzysztof Mrózek; Dean Margeson; Heiko Becker; John Curfman; Kelsi B Holland; Sebastian Schwind; Susan P Whitman; Yue-Zhong Wu; William Blum; Bayard L Powell; Thomas H Carter; Meir Wetzler; Joseph O Moore; Jonathan E Kolitz; Maria R Baer; Andrew J Carroll; Richard A Larson; Michael A Caligiuri; Guido Marcucci; Clara D Bloomfield
Journal:  J Clin Oncol       Date:  2011-02-22       Impact factor: 44.544

5.  Multicenter, phase II study of decitabine for the first-line treatment of older patients with acute myeloid leukemia.

Authors:  Amanda F Cashen; Gary J Schiller; Margaret R O'Donnell; John F DiPersio
Journal:  J Clin Oncol       Date:  2009-12-21       Impact factor: 44.544

Review 6.  Pharmacokinetic evaluation of decitabine for the treatment of leukemia.

Authors:  Jeffrey Bryan; Hagop Kantarjian; Guillermo Garcia-Manero; Elias Jabbour
Journal:  Expert Opin Drug Metab Toxicol       Date:  2011-05       Impact factor: 4.481

7.  Novel agents for the treatment of acute myeloid leukemia in the older patient.

Authors:  Maria R Baer; Ivana Gojo
Journal:  J Natl Compr Canc Netw       Date:  2011-03       Impact factor: 11.908

8.  Revised recommendations of the International Working Group for Diagnosis, Standardization of Response Criteria, Treatment Outcomes, and Reporting Standards for Therapeutic Trials in Acute Myeloid Leukemia.

Authors:  Bruce D Cheson; John M Bennett; Kenneth J Kopecky; Thomas Büchner; Cheryl L Willman; Elihu H Estey; Charles A Schiffer; Hartmut Doehner; Martin S Tallman; T Andrew Lister; Francesco Lo-Coco; Roel Willemze; Andrea Biondi; Wolfgang Hiddemann; Richard A Larson; Bob Löwenberg; Miguel A Sanz; David R Head; Ryuzo Ohno; Clara D Bloomfield; Francesco LoCocco
Journal:  J Clin Oncol       Date:  2003-12-15       Impact factor: 44.544

9.  Non-intensive treatment with low-dose 5-aza-2'-deoxycytidine (DAC) prior to allogeneic blood SCT of older MDS/AML patients.

Authors:  M Lübbert; H Bertz; B Rüter; R Marks; R Claus; R Wäsch; J Finke
Journal:  Bone Marrow Transplant       Date:  2009-04-13       Impact factor: 5.483

10.  The Cochrane Collaboration's tool for assessing risk of bias in randomised trials.

Authors:  Julian P T Higgins; Douglas G Altman; Peter C Gøtzsche; Peter Jüni; David Moher; Andrew D Oxman; Jelena Savovic; Kenneth F Schulz; Laura Weeks; Jonathan A C Sterne
Journal:  BMJ       Date:  2011-10-18
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1.  Benchmarking treatment effects for patients over 70 with acute myeloid leukemia: A systematic review and meta-analysis.

Authors:  Tea Reljic; Marina Sehovic; Jeffrey Lancet; Jongphil Kim; Najla Al Ali; Benjamin Djulbegovic; Martine Extermann
Journal:  J Geriatr Oncol       Date:  2020-07-12       Impact factor: 3.599

2.  Clinical outcomes of older patients with AML receiving hypomethylating agents: a large population-based study in the United States.

Authors:  Amer M Zeidan; Rong Wang; Xiaoyi Wang; Rory M Shallis; Nikolai A Podoltsev; Jan P Bewersdorf; Scott F Huntington; Natalia Neparidze; Smith Giri; Steven D Gore; Amy J Davidoff; Xiaomei Ma
Journal:  Blood Adv       Date:  2020-05-26

3.  Next-generation hypomethylating agent SGI-110 primes acute myeloid leukemia cells to IAP antagonist by activating extrinsic and intrinsic apoptosis pathways.

Authors:  Jessica Dittmann; Tinka Haydn; Patrick Metzger; George A Ward; Melanie Boerries; Meike Vogler; Simone Fulda
Journal:  Cell Death Differ       Date:  2019-12-12       Impact factor: 15.828

4.  Efficacy of 10-day decitabine in acute myeloid leukemia.

Authors:  Ian M Bouligny; Vivek Mehta; Scott Isom; Leslie R Ellis; Rupali R Bhave; Dianna S Howard; Susan Lyerly; Megan Manuel; Sarah Dralle; Bayard L Powell; Timothy S Pardee
Journal:  Leuk Res       Date:  2021-02-12       Impact factor: 3.156

5.  Venetoclax plus azacitidine in Japanese patients with untreated acute myeloid leukemia ineligible for intensive chemotherapy.

Authors:  Kazuhito Yamamoto; Atsushi Shinagawa; Courtney D DiNardo; Keith W Pratz; Kenichi Ishizawa; Toshihiro Miyamoto; Norio Komatsu; Yasuhiro Nakashima; Chikashi Yoshida; Noriko Fukuhara; Kensuke Usuki; Takahiro Yamauchi; Noboru Asada; Norio Asou; Ilseung Choi; Yasushi Miyazaki; Hideyuki Honda; Sumiko Okubo; Misaki Kurokawa; Ying Zhou; Jiuhong Zha; Jalaja Potluri; Itaru Matsumura
Journal:  Jpn J Clin Oncol       Date:  2022-01-03       Impact factor: 2.925

6.  Development and in vitro evaluations of new decitabine nanocarriers for the treatment of acute myeloid leukemia.

Authors:  Thomas Briot; Emilie Roger; Nolwenn Lautram; Alexis Verger; Anne Clavreul; Frederic Lagarce
Journal:  Int J Nanomedicine       Date:  2017-11-23

7.  Successful treatment of high-risk myelodysplastic syndrome with decitabine-based chemotherapy followed by haploidentical lymphocyte infusion: A case report and literature review.

Authors:  Yuanyuan Ma; Jianliang Shen; Li-Xin Wang
Journal:  Medicine (Baltimore)       Date:  2018-04       Impact factor: 1.889

Review 8.  Extinguishing the Embers: Targeting AML Metabolism.

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Journal:  Trends Mol Med       Date:  2020-10-26       Impact factor: 11.951

Review 9.  Mechanisms of Multidrug Resistance in Cancer Chemotherapy.

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Review 10.  Incidence and risk of hematologic toxicities with hypomethylating agents in the treatment of myelodysplastic syndromes and acute myeloid leukopenia: A systematic review and meta-analysis.

Authors:  Chong Gao; Jia Wang; Ya Li; Huan Zhao; Ruibai Li; Li Hou; Yayue Zhang; Shaodan Tian; Huan Liang; Chong Wang; Xinyi Chen; Jing Wang
Journal:  Medicine (Baltimore)       Date:  2018-08       Impact factor: 1.817

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