Literature DB >> 33514682

Evaluation of Reduced-Dose Decitabine and Azacitidine for Treating Myelodysplastic Syndromes: A Retrospective Study.

Naibo Hu1,2, Tiejun Qin1, Xiaoyan Du3, Bingyi Wang3, Xiaoyun Wang3, Zefeng Xu1, Lijuan Pan1, Shiqiang Qu1, Zhijian Xiao1.   

Abstract

BACKGROUND Hypomethylating agents (HMA) are considered the first-line therapy for high-risk myelodysplastic syndromes (MDS). However, as the efficacy and safety of rational dosing regimens are lacking, we evaluated the effectiveness and safety of reduced-dose azacitidine (AZA) vs. decitabine (DAC) in adult MDS patients. MATERIAL AND METHODS This retrospective study was conducted at the Institute of Hematology & Blood Diseases Hospital, for hospitalized MDS patients diagnosed (WHO 2008 classification criteria) from May 2006 to February 2020. These AZA- and DCA-naive patients treated with AZA 100 mg/(m²·day) for 5 days to 7 days or DAC 20 mg/(m²·day) for 3 days to 4 days, or 20 mg/(m²·day) 1 day/week for 3 weeks/month were assessed for treatment responses and adverse events. RESULTS Of the 158 enrolled MDS patients, 120 and 38 patients were administered reduced-dose DAC and AZA, respectively. All the patients received a median of 2 treatment cycles. The overall response rates (ORR) were 50.0% and 73.3% in the AZA and DAC groups, respectively (P=0.007). The percentage of platelet transfusion dependence in the AZA group was lower than the DAC group (P=0.026). The multivariate analysis demonstrated that the DAC treatment was a significant factor for improved responses (OR 2.928; 95% CI 1.267-6.896; P=0.012), and the absolute neutrophil count (ANC) was a predictor of the ORR (OR 0.725; 95% CI 0.558-0.898; P=0.008). Neutropenia (P=0.016) and infection (P=0.032) incidences were higher in the DAC group. CONCLUSIONS The reduced-dose DAC group demonstrated a better response than the AZA group in MDS patients with different prognostic risks. The patients' pre-treatment ANC was a significant factor associated with the ORR.

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Year:  2021        PMID: 33514682      PMCID: PMC7856837          DOI: 10.12659/MSM.928454

Source DB:  PubMed          Journal:  Med Sci Monit        ISSN: 1234-1010


Background

Myelodysplastic syndromes (MDS) are hematologic diseases characterized by ineffective and dysplastic hematopoiesis, which causes cytopenia and can trigger acute leukemia [1]. MDS is divided into lower- (low and intermediate-1) and higher-risk (intermediate-2 and higher) MDS according to the International Prognostic Scoring System (IPSS), and the clinical decisions about treatment are in accordance with these risk classifications [2]. The treatment of lower-risk MDS is aimed at improving cytopenia and providing optimal supportive care [2]. The patients with higher-risk MDS have an increased risk of conversion to acute myeloid leukemia (AML). The primary goal of the higher-risk MDS treatment is to use hypomethylating agents (HMA), chemotherapy, or transplantation to alter the course of the disease [3]. The deoxyribonucleic acid hypomethylating agents (HMA), azacitidine (AZA), and decitabine (DAC) are first-line therapies in the treatment of higher-risk MDS. Several multicenter phase II or III clinical trials have compared either AZA or DAC with conventional treatments, including the best supportive care, and both drugs showed a significant overall survival benefit in patients with MDS [4-6]. Several retrospective studies compared the effectiveness and safety of AZA or DAC. However, all those reports focused on the patients on normal doses of AZA or DAC treatment [7-9]. Because the normal-dose HMA result in adverse effects, many MDS patients receive reduced-dose HMA treatment. Moreover, only a proportion of patients who can tolerate the standard-dose demethylation therapy can achieve favorable outcomes, and several cycles are needed before the efficacy of this therapy can be observed. Therefore, it is essential to discover the parameters that can determine whether a patient will respond to the HMA, avoid adverse effects, and not require alternative treatments. Currently, there is a lack of data on the effectiveness and safety of reduced-dose AZA vs. reduced-dose DAC. Therefore, the present study retrospectively assessed the effectiveness and safety of reduced-dose AZA and reduced-dose DAC in treating MDS patients, and investigated the factors influencing patients’ responses to the HMA.

Material and Methods

Patients

The MDS patients at the Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College (Tianjin, China) who received HMA (DAC or AZA) for the first time between May 2006 and February 2020 were retrospectively reviewed. All the patients diagnosed with MDS (aged ≥18 years) who were unable to tolerate the standard dose of DAC of 20 mg/(m2·day) (body surface area-based dosing) for 5 days every cycle (4 weeks=1 cycle) or AZA 75 mg/(m2·day) for 7 days every cycle due to age, physical condition, or complications were included in this study. These patients are typically >70 years old, have severe long-term comorbidities or uncontrolled infections before treatment, indicating intolerance and the refusal of standard-dose chemotherapy. The exclusion criteria were patients who had already developed AML, or MDS accompanied by lymphoma, myeloma, or other blood diseases; received any previous chemotherapy (including aclariamycin, cytarabine, daunorubicin, idarubicin, fludarabine, topotecan), and hematopoietic stem-cell transplantation; previously been treated with HMA, including patients treated with other dosages of HMA, or treated with a combination of HMA (DAC and AZA); used any drugs, which could improve the blood indicator results including androgen, erythropoietin, or thalidomide. The electronic health records of the eligible patients were screened and extracted from a cooperative medical intelligence platform (Yidu Cloud Technology Co., Ltd., Beijing, China). This study was approved by the Institute of Hematology & Blood Diseases Hospital Ethics Committee, and exempted from obtaining informed consent by the patients as this was a retrospective study. The patients were evaluated using the IPSS and divided into 2 categories, the lower-risk (low and intermediate-1) and higher-risk (intermediate-2 and higher) groups, and analyzed using the Revised IPSS (IPSS-R) at the beginning of the hypomethylating therapy. The mutational gene targets were examined using high-throughput sequencing (Illumina, San Diego, CA). The potential gene mutations were determined according to the Catalogue of Somatic Mutations in Cancer.

Treatment

The enrolled MDS patients who could not tolerate the standard-dose HMA were treated with reduced-dose DAC before AZA was available in China. Although AZA is recommended for these patients, AZA was registered and marketed in China only in 2018, and has a less-potent myelosuppressive effect. The exceptions were patients who could not tolerate subcutaneous AZA injections, explicitly refused AZA treatment because of the distrust of a newly marketed drug, and still used DAC for sequential therapy. The DAC was administered intravenously, 20 mg/(m2·day) for 3 days to 4 days or 20 mg/(m2·day) for 1 day/week for 3 weeks/month including a 1-week break. The AZA was administered subcutaneously at a fixed dose of 100 mg daily for 5 days to 7 days, and the treatment schedule was repeated every 4 weeks to 6 weeks. It was recommended that patients be treated with a reduced-dose HMA continuously until the patient developed intolerance and was unable to continue this therapy. None of the patients had more than 4 cycles owing to their physical condition, comorbidities, financial reasons, and personal attitudes or beliefs. Four cycles of DAC and AZA treatment are generally recommended in clinical practice. Therefore, the treatments were terminated or continued based on the individual’s physical conditions. The first treatment evaluation was performed at the end of the HMA treatment cycle 1 or 2. Transfusion dependence was defined as the need for more than 4 units of red blood cells (RBCs) or 16 units of platelets (PLT) within 8 weeks before treatment. The study population consisted of 2 groups, 1 group accepted the reduced-dose DAC treatment (DAC group) and the other group accepted the reduced-dose AZA treatment (AZA group).

Assessment of efficacy and safety

The response to the treatment was evaluated in patients who received at least 1 cycle of HMA according to the revised International Working Group (IWG) 2006 criteria [10]. The overall response rate (ORR) includes complete remission (CR), partial remission (PR), marrow CR (mCR), and hematologic improvement (HI). Among them, HI was defined as satisfying at least 1 of the following responses: erythroid response (HI-E), PLT response (HI-P), or neutrophil response (HI-N). The hematological response time or improvement was assessed according to the IWG 2000 criteria for MDS [11]. Adverse events were evaluated according to the Common Terminology Criteria for Adverse Events (4.0) [12].

Statistical analysis

All the statistical analysis was conducted using the R Project for statistical computing (R version 3.6.3, Holding the Windsock, CRAN). The continuous variables were presented as mean±standard deviation (SD) or median (interquartile range [(IQR]) depending on whether the data conformed to normal distribution. The categorical variables were shown as counts or percentages. The Mann-Whitney U test was used to compare the intergroup continuous variables; and Fisher’s exact test or the Chi-square test was used to compare the categorical variables between the 2 groups. P<0.05 was considered statistically significant. To determine the independent factors associated with the overall response, univariate and stepwise logistic regression analysis were performed using patient variables, including the HMA types, age, sex, cytogenetics, WHO subtypes, IPSS risk, levels of RBC, hemoglobin (Hb), PLT, and absolute neutrophil count (ANC). The odds ratio (OR) and 95% confidence interval (CI) were calculated. The data to support the findings of this study are available on request from the corresponding author.

Results

Baseline patient characteristics

A total of 158 patients were screened after the DAC or AZA treatment during the study period. Thirty-eight (24.0%) patients received the reduced-dose AZA treatment, and 120 patients (75.9%) received the reduced-dose DAC treatment (Table 1). The median age of the AZA group (63 years, interquartile range [IQR] 53–68) was higher than the DAC group (57 years, IQR 49–64) (P=0.024). The proportion of patients with the MDS subtype, MDS with excess blasts 1 (MDS-EB1) (63/158, 39.9%) was higher than the proportion of patients with MDS subtype, MDS with excess blasts 2 (MDS-EB2) (72/158, 45.6%). Their cytogenetic results were divided into 3 groups: the good karyotype (78 patients, 49.4%), the intermediate karyotype (45 patients, 28.5%), and the poor karyotype (35 patients, 22.2%), based on the IPSS classification. These results were classified into low- (16 patients, 10.1%), intermediate- (33 patients, 20.9%), high- (53 patients, 33.5%), and very high-risk (56 patients, 35.4%) MDS patients, based on the IPSS-R classification. The number of patients from the 2 groups who received transfusion during the treatment were significantly different between the AZA and DAC groups (P=0.005). The baseline characteristics were well-balanced between the 2 groups (Table 1).
Table 1

Baseline patient characteristics.

IndicatorsTotal (n=158)Azacitidine group (n=38)DecitabineP value
Age, years59 [49–66]63 [53–68]57 [49–64]0.024*
Sex0.699
 Male101 (63.9%)23 (60.5%)78 (65.0%)
 Female57 (36.1%)15 (39.5%)42 (35.0%)
Comorbidity
 Hypertension12 (7.6%)012 (10.0%)0.071
 Coronary heart disease8 (5.1%)2 (5.3%)6 (5.0%)1.000
 Diabetes mellitus11 (7.0%)2 (5.3%)9 (7.5%)1.000
 Hepatitis5 (3.2%)1 (2.6%)4 (3.3%)1.000
 Tuberculosis3 (1.9%)1 (2.6%)2 (1.7%)0.564
WHO subtypes0.450
 MDS-EB163 (39.9%)14 (36.8%)49 (40.8%)
 MDS-EB272 (45.6%)16 (42.1%)56 (46.7%)
 MDS-MLD/RS/U23 (14.6%)8 (21.1%)15 (12.5%)
Cytogenetic risk0.154
 Good78 (49.4%)24 (63.2%)54 (45.0%)
 Intermediate45 (28.5%)7 (18.4%)38 (31.7%)
 Poor35 (22.2%)7 (18.4%)28 (23.3%)
IPSS risk0.341
 Intermediate-164 (40.5%)19 (50.0)45 (37.5%)
 6Intermediate-263 (39.9%)14 (36.8%)49 (40.8%)
 High31 (19.6%)5 (13.2%)26 (21.7%)
IPSS-R0.383
 Low16 (10.1%)5 (13.2%)11 (9.2%)
 Intermediate33 (20.9%)11 (28.9%)22 (18.3%)
 High53 (33.5%)10 (26.3%)43 (35.8%)
 Very high56 (35.4%)12 (31.6%)44 (36.7%)
BM blast (%)0.449
 <539 (24.7%)10 (26.3%)29 (24.2%)
 ≥598 (62.0%)21 (55.3%)77 (64.2%)
 >1521 (13.3%)7 (18.4%)14 (11.7%)
Transfusion (RBC)108 (68.4%)21 (55.3%)87 (72.5%)0.070
 WBC, 109/L1.9 [1.2–3.7]1.4 [1.1–2.9]2.0 [1.4–4.0]0.024*
 RBC, 1012/L2.5 [2.2–3.0]2.6 [2.2–3.1]2.5 [2.2–3.0]0.901
 Hb, g/L80.0 [70.0–93.0]78.0 [68.0–91.8]80.0 [70.0–93.0]0.828
 ANC,109/L0.6 [0.3–1.3]0.8 [0.3–1.5]0.6 [0.3–1.2]0.378
 PLT, 109/L42.0 [21.0–86.0]38.0 [21.0–85.8]42.0 [22.5–88.5]0.855
 LY, 109/L0.9 [0.7–1.3]0.8 [0.5–1.2]1.0 [0.7–1.3]0.038*
 Mono, 109/L0.1 [0.1–0.4]0.2 [0.1–0.3]0.1 [0–0.4]0.877
 Ret, 1012/L0.03 [0.01–0.10]0.04 [0.01–0.08]0.04 [0.01–0.06]0.358
 Ret%1.3 [0.6–2.6]1.9 [0.6–3.3]1.3 [0.6–2.4]0.123
 IGs, 109/L0.02 [0.01–0.14]0.02 [0.01–0.10]0.02 [0–0.14]0.758
 IRF, %16.0 [10.1–23.0]15.8 [9.0–23.2]16.0 [10.3–22.7]0.874
 NRBC, 109/L0.01 [0–0.04]0.01 [0–0.03]0.01 [0–0.04]0.985
Interval from diagnosis to treatment (days)18 [8–102]22 [6–296]16 [8–74]0.361
Transfusion during treatment117 (74.1%)21 (55.3%)96 (80.0%)0.005*
Anti-infection therapy96 (60.8%)17 (44.7%)79 (65.8%)0.023*

Parametric continuous variables presented as mean (SD); nonparametric variables reported as median [IQR]; categorical variables represented as number (percentage within category).

P<0.05 was considered statistically significant.

ANC – absolute neutrophil count; BM – bone marrow; Hb – hemoglobin; IGs – immature granulocytes; IPSS – International Prognostic Scoring System; IPSS-R – Revised International Prognostic Scoring System; IRF – immature reticulocyte fraction; LY – lymphocyte count; Mono – monocyte count; MDS-EB1 – MDS with excess blasts 1; MDS-EB2 – MDS with excess blasts 2; MDS-MLD/RS/U – MDS multilineage dysplasia/ring sideroblasts/unclassifiable; NRBC – nucleated red blood cells; PLT – platelet count; RBC – red blood cell count; Ret – reticulocyte count; WBC – white blood cells.

The molecular description of MDS will provide a better understanding, classification, and treatment of this disease as MDS are a group of clonal hematopoietic disorders marked by ineffective hematopoiesis and peripheral cytopenia. Any disruption of the hematopoietic progenitor proliferation and natural differentiation into mature myeloid elements has the potential to lead to ineffective hematopoiesis and an MDS phenotype. The observed gene mutations are detailed in Table 2. Eighty of the 158 patients (50.6%) presented with at least 1 mutation. The 5 most common mutations were TP53, ASXL1, FAT1, U2AF1, and RUNX1. Less commonly mutated genes included NRAS, TET2, DNMT3A, JAK2, IDH1, IDH2, SRSF2, CEBPA, NPM1, KRAS, WT1, BRAF, EZH2, MPL, FLT3, GATA, KIT. No significant differences were observed in the mutated genes between the 2 treatment arms.
Table 2

Frequencies of identified mutations.

GeneAzacitidine group (n=38)Decitabine group (n=120)P value
ASXL1 (%)2 (5.3)17 (14.2)0.236
BRAF (%)0 (0.0)3 (2.5)0.763
CEBPA (%)0 (0.0)5 (4.2)0.455
DNMT3A (%)1 (2.6)7 (5.8)0.719
EZH2 (%)1 (2.6)2 (1.7)0.999
FAT1 (%)4 (10.5)15 (12.5)0.968
FLT3 (%)0 (0.0)2 (1.7)0.999
GATA (%)2 (5.3)0 (0.0)0.090
IDH1 (%)2 (5.3)4 (3.3)0.956
IDH2 (%)1 (2.6)5 (4.2)0.999
JAK2 (%)3 (7.9)4 (3.3)0.460
KIT (%)0 (0.0)2 (1.7)0.999
KRAS (%)0 (0.0)4 (3.3)0.584
MPL (%)0 (0.0)3 (2.5)0.763
NPM1 (%)1 (2.6)4 (3.3)0.999
NRAS (%)0 (0.0)9 (7.5)0.181
RUNX1 (%)2 (5.3)13 (10.8)0.482
SRSF2 (%)2 (5.3)4 (3.3)0.956
TET2 (%)4 (10.5)5 (4.2)0.283
TP53 (%)1 (2.6)19 (15.8)0.064
U2AF1 (%)3 (7.9)13 (10.8)0.830
WT1 (%)1 (2.6)3 (2.5)0.999

Treatment response

The patients in both groups received 2 (IQR 1–4) treatment cycles, with 1 cycle (IQR 1–2) as the median for response assessment (Table 3). With respect to the treatment responses to AZA and DAC, the best rate of response was CR in 8 (5.1%) patients, mCR in 66 (41.8%) patients, and stable disease (sd) in 20 (12.7%) patients. Twenty-nine patients (18.4%) received <2 cycles of HMA without any documented response or progression. The ORR in the DAC group was higher (75 patients, 62.5%) than the AZA group (16 patients, 42.1%) (P=0.007). Among the patientsHI results, HI-E was observed in 43 (27.2%) patients, HI-N in 57 (36.1%) patients, and HI-P in 40 (25.3%) patients. The PLT transfusion independence was 15.8% (n=6) and 35.0% (n=42) in patients treated with AZA and DAC, respectively (P=0.026).
Table 3

Treatment responses.

IndicatorsTotal (n=158)Azacitidine (n=38)Decitabine (n=120)P value
Cycles of treatment2 [1–4]2 [1–4]2 [1–4]0.499
Cycles of response assessment1 [1–2]1 [1–2]1 [1–2]0.830
Response
 CR8 (5.1%)1 (2.6%)7 (5.8%)0.680
 mCR66 (41.8%)12 (31.6%)54 (45.0%)0.186
 PR0
 HI (without CR+mCR+PR)17 (10.8%)3 (7.9%)14 (11.7%)0.764
 Stable disease29 (18.4%)8 (21.1%)21 (17.5%)0.634
 Failure30 (19.0%)12 (31.6%)18 (15.0%)0.032*
 Not assessed2 (1.3%)2 (5.3%)00.057
 ORR (CR+mCR+PR+HI)91 (57.6%)16 (42.1%)75 (62.5%)0.037*
HI
 HI-E43 (27.2%)5 (13.2%)38 (31.7%)0.035*
 HI-N57 (36.1%)9 (23.7%)48 (40.0%)0.082
 HI-P40 (25.3%)8 (21.1%)32 (26.7%)0.529
Transfusion independence (RBC)62 (39.2%)12 (31.6%)50 (41.7%)0.341
Transfusion independence (PLT)48 (30.4%)6 (15.8)42 (35.0%)0.026*

Parametric continuous variables are presented as mean (SD); nonparametric variables are reported as median [IQR]; categorical variables are represented as a number (percentage within the category).

P<0.05 was considered statistically significant.

CR – complete remission; HI – hematologic improvement; HI-E – HI-erythroid; HI-N – HI-neutrophil; HI-P – HI-platelet; mCR – marrow complete response; PD – progressive disease; ORR – overall response rate; PLT – platelets; PR – partial response; RBC – red blood cells.

Safety

The incidence of adverse events after treatment with reduced-dose AZA and reduced-dose DAC regimens are shown in Table 4. The most common hematological adverse events (grade III–IV) were neutropenia (93 patients, 58.9%) and thrombocytopenia (97 patients, 61.4%). The treatment-related adverse events included infections (42 patients, 26.6%), hemorrhage (3 patients, 1.9%), and hepatic injury (8 patients, 5.1%). Statistically significant differences in the incidences of neutropenia (P=0.016) and infections (P=0.032) were observed between the 2 treatment groups.
Table 4

Toxicity analysis.

Adverse eventsTotal (n=158)Azacitidine (n=38)Decitabine (n=120)P value
Adverse hematological events (III–IV)
 Neutropenia93 (58.9%)16 (42.1%)77 (64.2%)0.016*
 Thrombocytopenia97 (61.4%)19 (50.0%)78 (65.0%)0.098
Myelosuppression38 (24.1%)8 (21.1%)30 (25.0%)0.620
Infections42 (26.6%)5 (13.2%)37 (30.8%)0.032*
Hemorrhage3 (1.9%)0 (0.0%)3 (2.5%)0.999
Hepatic injury8 (5.1%)61 (2.6%)7 (5.8%)0.681

P<0.05 was considered statistically significant.

Predictive factors for the overall response rates in reduced-dose AZA or DAC treatment

All the variables that could have an effect on the ORR to specific HMA were included in a univariate logistic regression analysis (Table 5). The DAC treatment (odds ratio [OR] 2.750; 95% Cl 1.294–5.885; P=0.008) showed a higher ORR. The multivariable regression analysis demonstrated the DAC treatment was a significant influential factor for a better response (OR 2.928; 95% Cl 1.267–6.896; P=0.012), whereas the ANC (OR 0.725; 95% Cl 0.558–0.898; P=0.008) was a significant predictor of the ORR.
Table 5

Univariate and multivariate regression analysis of the factors for overall responses.

IndicatorsUnivariateMultivariate
OR (95% Cl)P valueOR (95% Cl)P value
Hypomethylating agents
 Azacitidineref
 Decitabine2.291 (1.097–4.881)0.029*2.580 (1.130–6.055)0.026*
Age (years)1.009 (0.983–1.036)0.4791.003 (0.971–1.036)0.848
Sex
 Male1.227 (0.636–2.366)0.5401.117 (0.517–2.396)0.776
 Femaleref
WHO subtype
 MDS-EB12.261 (0.862–6.102)0.0991.222 (0.302–4.913)0.776
 MDS-EB21.719 (0.670–4.527)0.2620.945 (0.211–4.246)0.941
 MDS-MLD/RS/Uref
Cytogenetic risk
 Goodref
 Intermediate0.619 (0.293–1.301)0.2061.037 (0.383–2.858)0.943
 Poor0.703 (0.312–1.586)0.3921.210 (0.382–3.910)0.747
IPSS risk
 Intermediate-1ref
 Intermediate-20.800 (0.391–1.628)0.5380.598 (0.214–1.643)0.321
 High0.563 (0.234–1.338)0.1940.388 (0.086–1.644)0.205
BM blast (%)
 <5ref
 ≥52.009 (0.950–4.300)0.0692.384 (0.754–7.648)0.137
 <151.283 (0.442–3.766)0.6462.214 (0.465–10.718)0.317
RBC0.804 (0.483–1.328)0.3930.586 (0.211–1.548)0.289
Hb1.002 (0.987–1.018)0.8151.016 (0.986–1.050)0.310
ANC0.737 (0.567–0.913)0.012*0.728 (0.541–0.916)0.019*
PLT1 (0.996–1.004)0.8891 (0.995–1.004)0.914

P<0.05 was considered statistically significant.

ANC – absolute neutrophil count; BM – bone marrow; Hb – hemoglobin; IPSS – International Prognostic Scoring System; MDS-EB1 – MDS with excess blasts 1; MDS-EB2 – MDS with excess blasts 2; MDS-MLD/RS/U – multilineage dysplasia/ring sideroblasts/unclassifiable; PLT – platelets; ref – this variable was used as a control in the statistical analysis; RBC – red blood cells.

Discussion

HMA are considered to be epigenetic drugs that can alter the natural course of the disease, and have been widely used in the treatment of MDS. However, attempts to explore the optimum therapeutic regimen to achieve better efficacy and maintenance time based on the drug dosage and treatment cycles remain the most concerning issues. Our results confirmed that adults with MDS treated with the reduced-dose DAC regimen (20 mg/[m2·day] for 3 days to 4 days or 20 mg/[m2·day] 1 day/week for 3 weeks/month including a 1-week break) had higher ORR and HI rates than those treated with the reduced-dose AZA regimen (100 mg for 5 days to 7 days). We identified that the DAC therapy and lower ANC were independent predictors for an improved ORR. Currently, a grouped-therapy strategy is the international consensus for treating MDS. HMA administered to low-risk MDS patients improved their cytopenia. However, these patients do not have longer survival periods than the high-risk MDS patients [13,14]. Although the standard-dose regimen of HMA is efficient, it can cause myelosuppression, and cannot be prescribed when contraindicated in the elderly population due to its adverse effects [15,16]. Moreover, the genetic characteristics of patients affect the clinical phenotype, prognosis, and response to treatment. The mutations in TP53, ASXL1, TET2, RUNX1, and JAK2 are particularly common in treatment-related MDS [17]. Therefore, considering the real-world patients of varying ages and risk stratifications of the disease, patient characteristics, their varied treatment options and evaluation criterion, have inevitable heterogeneity. Neither the IPSS categories nor the mutations were statistically different between the 2 treatment arms. The reduced-dose HMA treatment was effective in this study, with more than half the patients achieving an ORR (91 patients, 57.6%). DAC at reduced-doses can achieve epigenetic modification by targeting the inhibition of DNMT1, a protein-coding gene [18]. Some studies demonstrated that a reduced-dose DAC regimen has definite efficacy with reduced incidences of adverse reactions, including bone marrow suppression [19,20]. Our results suggest that the ORR of patients with MDS to the reduced-dose DAC treatment was approximately 62.5%, and the CR rate was 5.8%. Previous studies of reduced-dose DAC regimens have revealed similar ORR (range 44.0% to 68.0%), although those studies included smaller sample sizes [21]. A significant ORR advantage was not observed in the DAC group with a standard regimen (about 70%) compared to the reduced-dose DAC patients [22,23]. This could be related to the heterogeneity of patients. As a commonly used HMA for MDS treatment, AZA is effective and safe for patients; the ORR to AZA ranged from 30% to 60% in previous studies. A study of 3 dosage regimens (all 28-day cycles) in patients with MDS suggested that the ORR to AZA was 39.4% (75 mg/[m2·day] for 5 days), 67.9% (75 m4m2·day] for 7 days including a 2-day break), and 51.3% (75 mg/[m2·day] for 7 days), respectively [24]. The ORR was 45.9% in patients who had lower-risk MDS treated with AZA4[25]. According to the Southwestern Oncology Group (SWOG) S1117, the ORR was 38% (CR rate: 24%; mCR rate: 12%, and HI rate: 14%) for the high-risk group receiving AZA alone [26]. Our results showed the ORR to the reduced-dose AZA treatment in adult patients with MDS in different risk stratifications was 42.1%. The rate of response was 2.6, 31.6, 7.9, and 21.1% for CR, mCR, sd with HI, and sd without HI, respectively. In our comparison of the reduced-dose strategies of DAC and AZA, the DAC group achieved higher treatment responses (CR: 5.8% vs. 2.6%; mCR: 45% vs. 31.6%; ORR: 62.5% vs. 42.1%), and transfusion independence (RBC: 41.7% vs. 31.6%; PLT: 35% vs. 15.8%). Although the reason for this can be the larger patient population more inclined to receive DAC, it is a reflection of real-world treatment. We found that DAC was the superior treatment for patients with at least 5% bone marrow blasts and higher-risk MDS by IPSS-R. Our results coincide with a phase II study at the MD Anderson Cancer Center, USA [27]. Myelosuppression and infections after the HMA treatments are significant safety concerns. The need for prophylactic use of antibiotics in HMA treatment-associated infections is currently inconclusive. Our results are consistent with Xu et al. [28], who reported that the incidence of hematological adverse events (grade III–IV) is higher in the DAC-treated patients. In our study, the HMA treatment-associated infections occurred in 13.2% and 30.8% of AZA- and DAC-treated patients, respectively. Results from a Korean study [29] suggest that ≥grade III neutropenia was more common in the DAC-treated patients, and the incidence of infections was significantly lower in the AZA group. Although the HMA used (DAC) was related to an increased risk of infection, there was no difference in the mortality induced by the infections. The reduced-dose HMA regimens were relatively safer in these patients. Our results are consistent with another study [30], which found a significant ORR improvement in the DAC regimen over the AZA regimen, and analyzed the prognostic response factors. The ANC was the only identified prognostic factor associated with the ORR to HMA. The white blood cell count (WBC) and ANC generally decrease synchronously during myelosuppression. A significantly inhibited effect of the bone marrow’s hematopoietic function was seen in the ANC, and it is easy to acquire severe infections and other complications [31]. It suggests that early ANC detection may be an important predictor of the clinical response in patients with MDS. A study by Bao et al. showed that the complex karyotype, gene mutations, and doubling of the PLT count after 1 treatment cycle were the independent prognostic factors for predicting CR after the DAC treatment [32]. The different genetic variants lead to varied outcomes; however, the mechanism remains unknown. Our study has several limitations. First, the study was based on a retrospective design although any evidence is vital for validation in future prospective cohort studies. Second, the imbalance in the number of MDS patients between the 2 treatment groups was due to the late launch of AZA in China. Third, the follow-up results of all the patients receiving DAC and AZA treatments were not accessible; therefore, we did not take the survival analysis into account. Currently, a prospective multicenter study organized by our team is ongoing.

Conclusions

In conclusion, our results show that DAC treatment with a reduced-dose regimen (20 mg/[m2·day] for 3 days to 4 days or 20 mg/[m2·day] 1 day/week for 3 weeks/month including a 1-week break) could have a better response than reduced-dose AZA therapy (100 mg for 5 days to 7 days) in patients with MDS with varied prognostic risks. The early ANC of patients was a significant factor associated with the ORR. Our study provides reliable clinical evidence for understanding the effectiveness of low-dosage HMA regimens in MDS patients. Although the number of patients in the 2 groups is unbalanced due to the different times of the availability of DAC and AZA in China, it reflects the Chinese reality of MDS treatment with reduced-dose HMA in the real world. Further prospective studies to explore the optimal therapeutic dose strategy with large-scale sample sizes are warranted.
  30 in total

Review 1.  Molecular biology of myelodysplastic syndromes.

Authors:  Alan H Shih; Ross L Levine
Journal:  Semin Oncol       Date:  2011-10       Impact factor: 4.929

Review 2.  Myelodysplastic syndromes.

Authors:  Ayalew Tefferi; James W Vardiman
Journal:  N Engl J Med       Date:  2009-11-05       Impact factor: 91.245

3.  Effectiveness and safety of different azacitidine dosage regimens in patients with myelodysplastic syndromes or acute myeloid leukemia.

Authors:  Regina García-Delgado; Dunia de Miguel; Alicia Bailén; José Ramón González; Joan Bargay; José F Falantes; Rafael Andreu; Fernando Ramos; Mar Tormo; Salut Brunet; Antonio Figueredo; Javier Casaño; Angeles Medina; Llorenç Badiella; Antonio Fernández Jurado; Guillermo Sanz
Journal:  Leuk Res       Date:  2014-03-19       Impact factor: 3.156

4.  A retrospective study comparing azacitidine with decitabine in Chinese patients with refractory anemia with excess blast based on two clinical trials in a single center.

Authors:  Ruohao Xu; Xiaomei Chen; Chengxin Deng; Ping Wu; Minming Li; Suxia Geng; Peilong Lai; Zesheng Lu; Jianyu Weng; Xin Du
Journal:  Am J Transl Res       Date:  2019-07-15       Impact factor: 4.060

5.  Decitabine improves patient outcomes in myelodysplastic syndromes: results of a phase III randomized study.

Authors:  Hagop Kantarjian; Jean-Pierre J Issa; Craig S Rosenfeld; John M Bennett; Maher Albitar; John DiPersio; Virginia Klimek; James Slack; Carlos de Castro; Farhad Ravandi; Richard Helmer; Lanlan Shen; Stephen D Nimer; Richard Leavitt; Azra Raza; Hussain Saba
Journal:  Cancer       Date:  2006-04-15       Impact factor: 6.860

Review 6.  Myelodysplastic syndromes: recent advancements in risk stratification and unmet therapeutic challenges.

Authors:  Rafael Bejar; Ramon V Tiu; Mikkael A Sekeres; Rami S Komrokji
Journal:  Am Soc Clin Oncol Educ Book       Date:  2013

7.  [Clinical features and survival analysis in primary myelodysplastic syndromes patients with immunological abnormalities].

Authors:  Bing Li; Ze-feng Xu; Rui Cui; Yue-dan Chen; Tao Su; Tian-jiao Zhang; Li-wei Fang; Hong-li Zhang; Tie-jun Qin; Zhi-jian Xiao
Journal:  Zhonghua Xue Ye Xue Za Zhi       Date:  2012-07

8.  The impact of hypomethylating agents on the cost of care and survival of elderly patients with myelodysplastic syndromes.

Authors:  Rong Wang; Cary P Gross; Kevin Frick; Xiao Xu; Jessica Long; Azra Raza; Naomi Galili; Jennifer Zikria; Yongtao Guan; Xiaomei Ma
Journal:  Leuk Res       Date:  2012-08-20       Impact factor: 3.156

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Authors:  Guillermo Garcia-Manero; Elias Jabbour; Gautam Borthakur; Stefan Faderl; Zeev Estrov; Hui Yang; Sirisha Maddipoti; Lucy A Godley; Nashat Gabrail; Jesus G Berdeja; Ahmed Nadeem; Laurent Kassalow; Hagop Kantarjian
Journal:  J Clin Oncol       Date:  2013-06-03       Impact factor: 44.544

10.  A prospective, multicenter, observational study of long-term decitabine treatment in patients with myelodysplastic syndrome.

Authors:  Seong Hyun Jeong; Yoo-Jin Kim; Je-Hwan Lee; Yeo-Kyeoung Kim; Soo Jeong Kim; Sung Kyu Park; Young Rok Do; Inho Kim; Yeung-Chul Mun; Hoon Gu Kim; Won Sik Lee; Hyeon Gyu Yi; Young-Don Joo; Chul Won Choi; Suk Ran Kim; Sang Min Na; Jun Ho Jang
Journal:  Oncotarget       Date:  2015-12-29
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1.  The Contrasting Delayed Effects of Transient Exposure of Colorectal Cancer Cells to Decitabine or Azacitidine.

Authors:  Alicja Pawlak; Kinga Chybicka; Ewa Zioło; Leon Strządała; Wojciech Kałas
Journal:  Cancers (Basel)       Date:  2022-03-16       Impact factor: 6.639

  1 in total

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