Abstract
Background
All-trans retinoic acid (ATRA) and arsenic trioxide (ATO) combinations have excellent outcomes in standard-risk acute promyelocytic leukemia (APL). Herein, we update our long-term results with the regimen of ATO-ATRA and gemtuzumab ozogamicin (GO) in standard and high-risk APL.
Methods
This was a phase II trial of patients with newly diagnosed APL. Induction comprised ATRA 45mg/m2 and ATO 0.15mg/kg daily. GO 6–9 mg/m2 was added for high-risk patients and standard-risk patients who developed leukocytosis >10×109/L. Consolidation was with four courses of ATO-ATRA, with GO for patients with PML::RARA persistence.
Results
One hundred and forty-six patients (median age 53.0 years [range, 19.3–83.9]) were treated, 106 (72.6%) standard risk and 41 (27.4%) high risk. GO was administered in 68 (64.2%) standard-risk patients for leukocytosis. The complete remission rate was 93.8% (95% confidence interval [CI], 92.2–98.5). MRD negativity was achieved in 97.1% of CR patients. At a median follow-up of 61.8 months (95% CI, 4.7–128.4), the 5-year event-free survival (EFS), disease-free survival (DFS) and overall survival (OS) were 92.4% (95% CI, 87.9–97.1), 93.6% (95%CI, 89.5–97.8) and 93.1% (95%CI, 88.9–97.7), respectively. Induction mortality was 2.7%. The most common severe adverse events were elevated transaminases in 41.0% and infection in 13.7%. There were no cases of veno-occlusive disease.
Conclusions
The combination of ATO-ATRA and GO is curative in 94% of APL patients, with a favorable safety profile.
Keywords: GO, ATRA, ATO, APL, clinical trial
Graphical Abstract
This was a phase 2 trial of all-trans retinoic acid plus arsenic trioxide with or without gemtuzumab ozogamicin in acute promyelocytic leukemia, in which patients who had a white blood cell count >10 × 109/L at any point received gemtuzumab ozogamicin. The combination resulted in excellent treatment response, with complete remission/complete remission with incomplete hematologic recovery in 96.6% of patients and a 10-year disease-free survival rate of 93.6%. Deaths after 4 years of remission were unrelated to acute promyelocytic leukemia. APL indicates acute promyelocytic leukemia; ATO, arsenic trioxide; ATRA, all-trans retinoic acid; CI, confidence interval; DFS, disease-free survival; GO, gemtuzumab ozogamicin; HR, high risk; ND, newly diagnosed; SR, standard risk; WBC, white blood cells.

A precis abstract:
This was a phase II trial of ATRA+ATO±GO in APL, where patients with WBC >10×109/L at any point received GO. The combination resulted in excellent treatment response, with CR/CRi in 96.6% and a 10-year DFS of 93.6%.
Introduction
Acute promyelocytic leukemia (APL) is a distinct subtype of acute myeloid leukemia (AML) characterized by the t(15;17)(q24.1;q21.2) translocation, which results in the fusion of the promyelocytic leukemia (PML) and retinoic acid receptor-α (RARA) genes, causing differentiation block.1 The differentiating agents all-trans retinoic acid (ATRA) and arsenic trioxide (ATO) have transformed the treatment landscape of APL,2 with long-term overall survival rates exceeding 90%.3 The APL0406 study of ATRA-ATO was done in standard-risk APL and excluded patients with a presenting white blood cell (WBC) >10×109/L,3 which defines high-risk disease.3–5
The optimal treatment for high-risk patients is an area of active investigation. The UK AML17 study randomized patients to ATRA-ATO or ATRA-idarubicin, with gemtuzumab ozogamicin (GO) permitted for patients randomized to ATRA-ATO.6 Twenty-eight (93%) high-risk patients and seven (8%) standard-risk patients in the ATRA-ATO arm received GO, with a 4-year event-free survival (EFS) of 91%. The Southwest Oncology Group (SWOG) 0535 study of ATRA + ATO + GO in high-risk APL demonstrated a complete remission (CR) rate of 86%, with a 3-year EFS of 78%.7 The APML4 phase II study of ATRA, ATO and idarubicin included 24 (20%) high-risk patients.8 These patients had a lower 2-year failure failure-free survival of 76%, compared to standard-risk patients. Despite the excellent long-term outcomes for APL, early mortality remains an issue, ranging from 4 – 11% in the ATO-ATRA era.6,7 Differentiation syndrome (DS) complicates induction therapy in 10 – 37% of patients,6,7,9 even when prophylactic corticosteroids are used.8,10,11,12 A less-well recognized complication is the insidious development of fluid retention and consequent pulmonary and multiorgan failure requiring intensive care unit support, temporary withholding of ATRA -ATO, intensive diuresis, and steroids.13
GO is an antibody-drug conjugate of a CD33-directed antibody and calicheamicin. CD33 expression is ubiquitous in APL,14 and GO is highly active in APL, both in combination with ATRA and as a single agent.15,16 In addition to being a feature of high-risk APL, leukocytosis >10×109/L develops in 43% of standard-risk patients treated with ATO-ATRA.10 Leukocytosis increases the risk of APL-related complications such as differentiation syndrome and bleeding, including life-threatening intracranial haemorrhage.17 We previously reported the pooled outcomes of patients with APL treated on three different clinical trials at our institution.12 Herein, we report the long-term outcomes of the most recently conducted phase II trial of ATRA + ATO and GO in APL, where all patients with WBC >10×109/L at any point from diagnosis to end of induction received GO. This represents our current strategy for treating APL.
Materials and Methods
Patients
Patients aged 10 or older with newly diagnosed APL, based on the presence of PML::RARA detected by polymerase chain reaction (PCR), standard metaphase karyotype analysis or fluorescence in situ hybridization (FISH), were enrolled. Patients who had started treatment emergently with ATRA or ATO, or who had received a single dose of idarubicin, were eligible per protocol. Women of childbearing age were required to have a negative pregnancy test at screening and within 48 hours of study drug dosing.
Patients were excluded if they had any of the following: corrected QT interval (using the Frederica formula) >480 msec, creatinine >2.5 mg/dL, total bilirubin greater than or equal to two times the upper limit of normal, unless caused by hemolysis or Gilbert syndrome, and an alanine or aspartate aminotransferase level greater than or equal to three times the upper limit of normal.
Patients were defined as high risk if the presenting WBC was >10×109/L. Otherwise, they were classified as standard risk.
Study procedures and assessments
This was an open-label, single arm, phase II study conducted at The University of Texas MD Anderson Cancer Center. All patients provided written informed consent according to institutional guidelines and the Declaration of Helsinki. The study was approved by our Institutional Review Board. All patients underwent baseline bone marrow aspiration and biopsy, with samples sent for morphology review, karyotype analysis, FISH, PCR for PML::RARA and flow cytometry. Following the introduction of routine next-generation sequencing (NGS) for myeloid disorders at our institution in 2014, patients could also have baseline NGS performed at the investigator’s discretion.
The study design is shown in Figure S1. Induction consisted of ATRA 45mg/m2 orally (PO) daily in two divided doses and ATO 0.15mg/kg intravenously (IV) daily starting on day 1. A single dose of GO (6mg/m2 or 9mg/m2) was administered between days 1 – 5 for high-risk patients and if the WBC was >10×109/L at any point during weeks 1 – 4 for standard-risk patients. Doses of ATRA, ATO and GO were not capped; the choice of 6mg/m2 or 9mg/m2 of GO was at treating physician discretion. Methylprednisolone 50mg IV daily days 1 – 5 followed by a rapid taper over 5 – 7 days was given for differentiation syndrome prophylaxis. Bone marrow assessment of disease status was done between days 21 – 28 of induction. In patients in whom marrow remission was achieved, ATRA and ATO were held until count recovery (CR). Patients not in remission continued ATRA and ATO, with bone marrow assessment repeated every 7 – 10 days thereafter till marrow remission achieved. Patients not achieving remission by day 85 were taken off protocol.
Consolidation comprised four courses of ATO 0.15mg/kg IV given on days 1 – 5 each week for four weeks (i.e., 20 doses of ATO per course), followed by a four-week break. ATRA was 45mg/m2 PO daily in two divided doses for two weeks, followed by a two-week break. Consolidation was administered over eight months (Figure S1). Bone marrow assessment for PML::RARA by real-time quantitative PCR (RT-qPCR) was performed every three months during consolidation and at the end of treatment. If patients were negative for PML::RARA, the next cycle of consolidation proceeded as planned. Patients with positive results for PML::RARA had the test repeated 1 – 3 weeks later. If PML::RARA was persistently positive, a single dose of GO 6 – 9mg/m2 was added with the next cycle of consolidation, with repeat assessment of PML::RARA a month later. This was repeated for another two courses if PML::RARA was persistently positive.
Central nervous system (CNS) prophylaxis was not protocol-mandated but could be administered at investigator discretion, following discussion with the principal investigator. All patients received standard prophylactic antimicrobials comprising an antiviral (acyclovir or valacyclovir) for prophylaxis against herpes simplex virus reactivation, mold-active antifungals and an antibacterial such as levofloxacin or cefpodoxime. Priority is given to avoidance of drugs which prolong the QTc interval. Blood products were transfused to keep the platelet count >30×109/L, fibrinogen >150mg/dL and the prothrombin time international normalized ratio (INR) <1.5.
Outcomes
The primary outcome measure was EFS, which was defined as the time from the start of treatment to relapse or death from any cause, whichever occurred first. Other time-to-event outcomes included overall survival (OS), the time from treatment start to death from any cause; and disease-free survival (DFS), the time from treatment start to death from APL or relapse, whichever occurred first. For DFS, patients were censored at last follow-up or death from non-APL related causes. The cumulative incidence of relapse (CIR) was measured from the time of best response to relapse. Patients who were removed from study due to inability to continue care at our institution continued to be followed up for time-to-event outcomes by study coordinators.
CR was defined as marrow remission (≤5% blasts and no abnormal promyelocytes), platelet count recovery to ≥100×109/L and absolute neutrophil count recovery to ≥1×109/L. CR with incomplete hematological recovery (CRi) was defined as marrow remission without count recovery. Measurable residual disease (MRD) was performed via RT-qPCR for PML::RARA, with an assay sensitivity of 10−4 to 10−5, with MRD negativity defined as undetectable PML::RARA. The median time to CR/CRi and MRD negativity was measured from the start of treatment, with patients not achieving CR/CRi or MRD negativity censored at the date they were taken off protocol for this outcome measure only.
Safety assessment
Adverse events (AEs) were continuously assessed throughout induction and consolidation and graded according to the National Cancer Institute (NCI) Common Terminology Criteria for Adverse Events (CTCAE), version 4.0. There was a protocol-mandated 50% dose reduction for patients who developed grade ≥3 ATRA-related toxicity. For patients with cytopaenias in CR (platelets <75×109/L or absolute neutrophil count <0.75×109/L), the ATO dose was reduced to 0.10mg/kg. Persistent AEs despite dose reduction mandated removal from study.
The trial was continuously monitored by an independent monitoring committee. Stopping rules were designed such that if there was a <10% or 15% chance that the median EFS was more than that of historical controls for standard-risk and high-risk groups, respectively, the trial would be stopped. With regards to safety, planned stopping rules were implemented such that the study would be terminated if there was a >95% chance that the average rate of grade ≥3 non-hematologic AEs were >20%.
Statistical analysis
Statistical analysis was done with R: A Language and Environment for Statistical Computing, version 4.3.1 (R Core Team, R Foundation for Statistical Computing, Vienna, Austria). Survival curves were plotted with the Kaplan-Meier method and, where applicable, compared with the log-rank test. Cumulative incidence curves were compared with the Fine-Gray test. Categorical data were compared using Fisher’s exact test, continuous data were compared with the Mann-Whitney U test. The efficacy and safety analyses were done in the intention-to-treat population, i.e., any patient who got at least one dose of any study drug.
Results
From October 2011 to October 2023, 153 newly diagnosed APL patients were screened. There were seven screen failures for prior treatment, changes in treatment plan and insurance denials; 146 patients were treated on the study (Figure 1). One hundred and six (72.6%) were standard risk, while 40 (27.4%) were high risk. Baseline characteristics are presented in Table 1. The median age for the entire cohort was 53.0 years (range, 19.3 – 83.9), with no significant differences in age, gender, Eastern Cooperative Oncology Group performance status, ethnicity, PML::RARA isoform or additional cytogenetic abnormalities between standard-risk and high-risk patients. The most common additional cytogenetic abnormality was trisomy 8, which was observed in 16 (11.0%) patients, followed by a complex karyotype, defined as ≥3 abnormalities, in 15 (10.3%).
Figure 1:

CONSORT diagram. *Patients were lost to follow-up or died before count recovery to fulfil CR criteria. All patients who were lost to follow-up before count recovery were unable to return because of insurance coverage. ATO indicates arsenic trioxide; ATRA, all-trans retinoic acid; CONSORT, Consolidated Standards of Reporting Trials; CR, complete remission; CRi, complete remission with incomplete hematologic recovery; GO, gemtuzumab ozogamicin; LTFU, lost to follow-up.
Table 1:
Baseline characteristics. Numbers are expressed as n (%) or median [range]. ECOG PS: Eastern Cooperative Oncology Group Performance Status; WBC: white blood cell count; Hb: hemoglobin; PT: prothrombin time; APTT: activated partial thromboplastin time.
| Category | Sub-Category | Total (n = 146) |
Standard Risk (n = 106) |
High Risk (n = 40) |
P Value |
|---|---|---|---|---|---|
| Age | Age | 53.0 [19.3 – 83.9] | 54.4 [19.7 – 83.9] | 48.9 [19.3 – 80.3] | 0.0560 |
| Age ≥60 | 44 (30.1) | 33 (31.1) | 11 (27.5) | 0.8400 | |
| Gender | Female | 74 (50.7) | 51 (48.1) | 23 (57.5) | 0.3116 |
| Male | 72 (49.3) | 55 (51.9) | 17 (42.5) | ||
| ECOG PS | 0 | 14 (9.6) | 11 (10.4) | 3 (7.5) | 0.1253 |
| 1 | 111 (76) | 84 (79.2) | 27 (67.5) | ||
| 2 | 18 (12.3) | 10 (9.4) | 8 (20) | ||
| 3 | 3 (2.1) | 1 (0.9) | 2 (5.0) | ||
| Race | White | 88 (60.3) | 68 (64.2) | 20 (50.0) | 0.0920 |
| Black | 22 (15.1) | 10 (9.4) | 12 (30.0) | ||
| Hispanic | 12 (8.2) | 8 (7.5) | 4 (10.0) | ||
| Other | 12 (8.2) | 10 (9.4) | 2 (5.0) | ||
| Asian | 6 (4.1) | 5 (4.7) | 1 (2.5) | ||
| Native American | 1 (0.7) | 1 (0.9) | 0 (0.0) | ||
| Unknown | 5 (3.4) | 4 (3.8) | 1 (2.4) | ||
| Ethnicity | Non-Hispanic | 90 (61.6) | 67 (63.2) | 23 (57.5) | 0.5628 |
| Hispanic or Latino | 29 (19.9) | 20 (18.9) | 9 (22.5) | ||
| PML::RARA Isoform | Long | 86 (58.9) | 62 (58.5) | 24 (60) | 0.3721 |
| Short | 55 (37.7) | 39 (36.8) | 16 (40) | ||
| Unknown | 5 (3.4) | 5 (4.7) | 0 (0.0) | ||
| Presenting Laboratory Results | WBC (×109/L) | 2.4 [0.2 – 197.6] | 1.4 [0.2 – 9.4] | 24.4 [10.0 – 197.6] | <0.0001 |
| Hb (g/dL) | 8.9 [6.4 – 13.8] | 9.1 [6.4 – 13.8] | 8.1 [6.4 – 10.6] | 0.0029 | |
| Platelets (×109/L) | 42 [8 – 233] | 49 [9 – 233] | 29 [8 – 65] | <0.0001 | |
| PT (s) | 16 [12.8 – 26.5] | 15.1 [12.8 – 20.4] | 18.2 [15.5 – 26.5] | <0.0001 | |
| APTT (s) | 29.9 [22.6 – 48.6] | 29.7 [22.6 – 47.7] | 30.5 [24.5 – 48.6] | 0.1853 | |
| Fibrinogen (mg/dL) | 224 [49 – 749] | 241.5 [76 – 749] | 172 [49 – 562] | <0.0001 | |
| Karyotype | t(15;17) | 142 (97.3) | 102 (96.2) | 40 (100.0) | 0.6250 |
| t(15;17), +8 | 16 (11.0) | 11 (10.4) | 5 (12.5) | ||
| t(15;17), + ≥2abn | 15 (10.3) | 9 (8.5) | 6 (15.0) | ||
| Mutations | FLT3 ITD | 53 (36.3) | 29 (27.4) | 24 (60.0) | 0.0004 |
| FLT3 TKD | 25 (17.1) | 15 (14.2) | 10 (25.0) | 0.1417 | |
| WT1 | 17 (11.6) | 10 (9.4) | 7 (17.5) | 0.2450 | |
| NRAS | 10 (6.8) | 7 (6.6) | 3 (7.5) | 1.0000 | |
| KRAS | 5 (3.4) | 4 (3.8) | 1 (2.5) | 1.0000 |
High-risk patients had a median presenting WBC of 24.4×109/L (range, 10.0 – 197.6), compared with 1.4×109/L (range, 0.2 – 9.4) in standard-risk patients. The characteristics of the patients by risk are shown in Table 1. As expected, high-risk patients were more likely to have internal tandem duplications mutations in the Fms-like tyrosine kinase 3 (FLT3) gene (FLT3ITD), with 24 (60.0%) high-risk patients having FLT3ITD compared with 29 (27.4%) standard-risk patients (p = 0.0004). Multi-gene panel NGS testing was performed on 122 (83.6%) patients. Other frequently mutated genes included FLT3 tyrosine kinase domain (FLT3TKD), WT1, NRAS and KRAS (Table 1). No patients had somatic mutations in CEBPA, DDX41, IDH1, IDH2 or NPM1. One patient had a TP53 mutation.
Overall, 141 (96.6%) patients completed induction, 102 (96.2%) in the standard-risk group and 39 (97.5%) in the high-risk group. Reasons for not completing induction were induction mortality in four (2.7%, 95% CI, 1.1 – 6.8) patients and transfer of care due to insurance withdrawal in the fifth patient (Figure 1). Of the patients who completed induction, 100% achieved a CR/CRi. One hundred and thirty-seven patients (93.8%, 95% confidence interval [CI], 92.2 – 98.5) achieved a CR, 96.2% (95% CI, 90.7 – 98.5) in the standard-risk group and 97.5% (95% CI, 87.1 – 99.6) in the high-risk group. CRi was noted in four patients (3 [2.8%, 95% CI, 1.0 – 8.0] standard-risk and 1 [2.5%, 95% CI, 0.4 – 12.9] high-risk). These patients were discharged from hospital after achieving morphologic remission but were unable to return to our institution for follow-up care and documentation of CR because of insurance coverage.
The median time to CR/CRi was 31.4 days (95% CI, 30.4–33.5 days). Standard-risk patients had a slightly longer median time to CR/CRi than high-risk patients (33.5 days [95% CI, 31.5–35.5 days] vs. 28.4 days [95% CI, 27.4–31.5 days]; p = .0144; Figure 2A). MRD negativity was achieved in 133 of 137 patients (97.1%) who achieved CR. Of the four patients without documented MRD negativity, all four were taken off study before completion of treatment; two for insurance issues, one because consent was withdrawn, and one for nonadherence to study procedures. The median time to MRD clearance was 3.4 months (95% CI, 3.2–3.7 months) from the start of treatment, and 95% achieved MRD clearance by 5.0 months. There was no difference in the median time to MRD negativity between standard-risk and high-risk patients (3.4 months [95% CI, 3.2–3.8 months] vs. 3.6 months [95% CI, 3.0–4.1 months]; p = .4346; Figure 2B).
Figure 2:

Proportion achieving (A) CR/CRi and (B) MRD negativity by real-time quantitative polymerase chain reaction analysis for PML::RARA. CR indicates complete remission; CRi, complete remission with incomplete hematologic recovery; MRD, measurable residual disease; PML::RARA, fusion of the promyelocytic leukemia and retinoic acid receptor-α genes.
All patients in the high-risk group and 68 (64.2%) patients in the standard-risk group received GO. Eighty-seven (80.6%) of those receiving GO were given the 9mg/m2 dose, 19 (17.6%) received 6mg/m2 and two (1.9%) received 3mg/m2. Only one standard-risk patient required GO during consolidation. This patient received ATRA-ATO without GO during induction, which was uncomplicated, and achieved CR. RT-qPCR for PML::RARA was persistently positive (0.01%) after cycle 2 of consolidation. One dose of GO 6mg/m2 was given during consolidation cycle 3, with subsequent clearance of PML::RARA by RT-qPCR. No further doses of GO were required.
The median follow-up was 61.8 months (95% CI, 4.7–128.4 months) in surviving patients. The median EFS for the whole cohort was not reached, with a 5-year EFS of 92.4% (95% CI, 87.9%–97.1%; Figure 3A). There was no significant difference in EFS between the standard-risk and high-risk groups (median EFS was not reached in either group; p = .2657; Figure 3B). The 5-year EFS for standard-risk patients was 93.6% (95% CI, 88.7%–98.8%) and, for high-risk patients, it was 89.4% (95% CI, 80.1%–99.9%). When patients were stratified by age into groups younger than 60 years and 60 years and older, irrespective of risk status, there was no significant difference between EFS (median EFS was not reached for either group; p = .4126; Figure 3C). The 5-year EFS for patients younger than 60 years was 92.7% (95% CI, 87.6%–98.1%) and, for those aged 60 years and older, it was 92.3% (95% CI, 84.2%–100.0%). Events are shown in Table S1.
Figure 3:

(A) Event-free survival of the entire cohort stratified by (B) risk group and (C) age, and (D) disease-free survival of the entire cohort stratified by (E) risk group and (F) age. APL indicates acute promyelocytic leukemia; ATO, arsenic trioxide; ATRA, all-trans retinoic acid; CI, confidence interval; DFS, disease-free survival; GO, gemtuzumab ozogamicin; HR, high risk; ND, newly diagnosed; SR, standard risk; WBC, white blood cells.
Stratifying patients by presence or absence of FLT3ITD (p = 0.6060), mutational complexity (one or more mutations vs. no mutations [p = .8834; Figure S2A] or two or more mutations vs. one or less mutation [p = .5249]), or the presence of additional cytogenetic abnormalities (p = .7609) also had no effect on EFS. There was no significant difference in EFS among standard-risk patients who received GO compared with those who did not (median EFS for patients not receiving GO, 111.8 months [95% CI, 93.3 months to not estimable] vs. not reached for patients receiving GO; p = .1179).
The median DFS for the entire cohort was not reached. The 5-year DFS was 93.6% (95% CI, 89.5%–97.8%), which was identical to the 10-year DFS (Figure 3D). Standard-risk patients had a 5-year DFS of 95.2% (95% CI, 91.1%–99.4%) compared with 89.4% (95% CI, 80.1%–99.9%) in high-risk patients, with a median DFS that was not reached in either group (p = .2558; Figure 3E). There was no difference in DFS when stratified by age (p = .5891; Figure 3F), presence of one or more mutation(s) (p = .9292; Figure S2B), two or more mutations (p = .3898), or additional cytogenetic abnormalities (p = .3386). The median DFS was the same for standard-risk patients regardless of whether GO was administered (not reached for both groups; p = .8492).
The median OS for the entire cohort was not reached (Figure S3A). The 5-year OS was 93.1% (95% CI, 88.9%–97.7%), with a 10-year OS of 74.7% (95% CI, 61.8%–90.2%). All deaths after 4 years were unrelated to APL. There was no difference in OS between standard-risk and high-risk patients (median not reached; p = .1795; Figure S3B), patients younger than 60 years versus those aged 60 years and older (p = .2934; Figure S3C), or when stratified by the presence of one or more mutation(s) (p = .8880; Figure S3D), two or more mutations (p = .2101), or additional cytogenetic abnormalities (p = .5563).
Only two patients in the entire cohort relapsed (Figure S4), a standard-risk patient at 9.5 months and a high-risk patient at 27.6 months after attaining CR. The 5-year CIR was 1.1% (95% CI, 0.0 – 3.1) for standard-risk patients and 3.3% (95% CI, 0.0 – 9.5) for high-risk patients (p = 0.4769, Figure S5). Both were given GO during induction and had achieved MRD negativity at 2.4 and 4.5 months respectively. The standard-risk patient had WT1 and NRAS mutations at diagnosis, which were again present at relapse. The patient presented with hematological relapse and was successfully salvaged with ATO, ATRA and idarubicin, followed by consolidation allogeneic stem cell transplant in second complete remission. The high-risk patient was had PML::RARA detected by RT-qPCR, t(15;17) and a FLT3ITD mutation at diagnosis. The patient was lost to follow-up after completion of therapy. The patient relapsed at another institution and died two months later; no other information was available.
There were four (2.7%) deaths during induction, three in standard-risk patients and one in a high-risk patient. Two of the standard-risk patients had received GO during induction. The causes of death for the four patients were: (1) diffuse alveolar hemorrhage with secondary Stenotrophomonas bacteremia and multiorgan failure, (2) myocardial infarction, (3) intracranial hemorrhage, and (4) pneumonia with secondary, diffuse alveolar hemorrhage and respiratory failure. AEs in which at least one grade 3 event occurred in a patient are shown in Table S2. The most common AE was infection, which occurred in 20 patients (13.7%). Differentiation syndrome occurred in 15 patients (10.3%) and was grade ≥3 in seven (4.8%). There were no deaths from differentiation syndrome. QTc prolongation was observed in 18 patients (12.3%), whereas elevated transaminases were noted in 60 (41%). Most cases of elevated transaminases were grade 1–2, and 10 (6.8%) were grade ≥3. Biochemical elevations in lipase were seen in eight patients (5.5%), with two cases of grade 2 pancreatitis. There were no cases of veno-occlusive disease in our cohort. There were two cases of grade ≥3 acute kidney injury requiring dialysis; details of these patients have been reported previously.18 Three patients experienced grade ≥3 headache, of whom two responded to acetazolamide. None of these patients had objective evidence of raised intracranial pressure on imaging or fundoscopy. There was no significant difference in the rate of AEs between patients who received 3, 6, and 9 mg/m2 of GO.
Discussion
In this study we update the excellent long-term outcomes of patients with APL treated with ATRA, ATO and GO at our institution. GO was administered to all high-risk and 64.2% of standard-risk patients. At a median follow-up of over 5 years, this regimen is risk-agnostic and curative in >90% of patients, with only two relapses observed to date. Late deaths after four years were unrelated to APL, resulting in a 10-year DFS of 93.5%. The regimen is tolerable, with induction mortality <3%, a low rate of differentiation syndrome (<5% grade ≥3), no cases of veno-occlusive disease and no new safety signals. Our results re-affirm the favorable outcomes of APL treated with ATRA + ATO ± GO.
Our results compare favorably to other studies of ATO, ATRA and GO. The UK AML17 study compared ATRA-ATO (GO added for high-risk patients) with ATRA and idarubicin, showing that ATRA-ATO was associated with a significantly lower requirement for supportive care.6 The morphological remission rate was 91%, with a 30-day mortality of 4% in the ATRA-ATO arm. In contrast to the AML17 study, we administer GO to standard-risk patients who develop leukocytosis >10×109/L at any point during induction. In our study, all evaluable patients achieved a morphological remission. The addition of GO did not result in increased early mortality, which was only 2.7%. In addition, the rate of grade ≥3 differentiation syndrome was low compared with historical rates of 20 – 30%.6 It is notable that patients age ≥60 had similar outcomes to younger patients. While this was a smaller subset of our cohort, 16 patients ≥ 60 years with standard risk APL received GO and we did not observe any cases of veno-occlusive disease or early mortality in these older individuals. This is likely due to improved experience with ATO-ATRA-GO, and represents an improvement over our previously published experience.12 A high index of suspicion is required for specific rare complications such as insidious fluid retention,13 distinct from differentiation syndrome, renal impairment18 and pseudotumor cerebri19.
In the SWOG study of high-risk APL, GO was added to ATO-ATRA in induction.7 However, differences from our study include the use of daunorubicin in consolidation and two further doses of GO for all patients, regardless of MRD status. The SWOG study also utilized a maintenance regimen of ATRA, 6-mercaptopurine and methotrexate, the role of which is debatable in the ATO-ATRA era with MRD monitoring.17 ATRA-ATO has also been consistently shown to improve outcomes compared with ATRA-chemotherapy combinations, which require more supportive care and are associated with more toxicities.3,6 The induction mortality in the SWOG study was 10% and the CR rate 86%.7 The 3-year EFS of 78% included four patients who relapsed and two deaths in remission; the 3-year CIR was 7.1%. In contrast, our 5-year EFS was 92%, with a 5-year CIR of 3% in high-risk patients. Our strategy has been to monitor patients with MRD, reserving intensification with repeated GO dosing only for patients who fail to achieve molecular clearance. This strategy, which was only required in one patient, minimizes toxicity for patients who do not require intensification, while preserving efficacy for slow responders.
FLT3ITD mutations were present in 27% of standard-risk patients and 60% of high-risk patients. The presence of FLT3ITD was not associated with a significant difference in EFS. FLT3ITD mutations are well-described in APL, but their effect on prognosis is conflicting.20 Studies which demonstrate an adverse prognostic effect of FLT3ITD were largely conducted in the pre-ATO era.21,22 A study in mouse models demonstrated that FLT3ITD was associated with a blunted response to ATRA by reducing the degradation of PML-RARA.23 Combination with ATO re-induced differentiation and RARA degradation, abrogating FLT3ITD-mediated resistance to ATRA, which explains the clinical observation that ATO-ATRA combinations have an excellent prognosis regardless of FLT3ITD mutation status.8,24 In keeping with the high cure rates of our regimen, we also demonstrate that other traditional adverse prognostic markers, such as baseline WBC, and other exploratory prognostic markers such as additional mutations or cytogenetic abnormalities, have no bearing on outcomes. This is unsurprising given the effectiveness of the treatment and the low event rates.25
A consensus statement from the European LeukemiaNet (ELN) on MRD monitoring in AML has suggested that MRD in APL should be monitored from the time of completion of consolidation to marrow negativity in standard-risk patients and for 24 months in high-risk patients.26 This is based on data from the pre-ATO era which demonstrated that positive MRD in remission was highly predictive of relapse, typically within four months,27,28 and that treatment of molecular relapse can prevent progression to overt hematological relapse28 and lead to longer leukemia-free survival.29 However, time-to-event analysis when comparing molecular and hematological relapses are subject to lead-time bias, especially when it has been demonstrated that molecular relapses invariably precede hematological relapses. The relapse rate in our study was extremely low, with an overall 5-year CIR of 1%, one patient in each risk category. It is possible that with the excellent cure rates observed, MRD monitoring, especially in high-risk APL, may not be required in the future.30
In conclusion, we report on the long-term outcomes of a large cohort of APL patients, including a cohort of standard-risk patients who were administered GO with a high WBC. Because of the non-randomized nature of the study, we are unable to definitively conclude if the administration of GO was associated with improved outcomes in terms of improved EFS, reduced induction mortality and less differentiation syndrome. However, the results remain extremely encouraging, with excellent long-term DFS, and demonstrate the outstanding activity and tolerability of the ATO, ATRA and GO in APL.
Supplementary Material
Acknowledgements:
Figure S1 was created with BioRender.com. This research is supported in part by The University of Texas MD Anderson Cancer Center Leukemia Support Grant (CA100632) and the Charif Souki Cancer Research Fund. Gemtuzumab ozogamicin was provided by Pfizer. The sponsor had no role in the design, conduct or analysis of the study, or article preparation.
Conflict of Interest Statement:
Hagop M. Kantarjian reports personal/consulting fees from AbbVie, Amgen, Astellas Pharma, Curis, Ipsen Biopharmaceuticals Inc., Infinity BiologiX LLC, KAHR, LabCorp, Novartis, Pfizer Brazil, Shenzhen Target Rx, Stemline Therapeutics Inc., and Takeda Oncology; and support for other professional activities from Amphista and Ascentage outside the submitted work. Yesid Alvarado reports support for professional activities from Astellas Pharma and Jazz Pharmaceuticals outside the submitted work. Elias Jabbour reports personal/consulting fees from AbbVie, Adaptive Biotechnologies Corporation, Amgen, Ascentage Pharma, Autolus Ltd., Bristol Myers Squibb Company, Genentech, Novartis, Pfizer Canada Inc., and Takeda Oncology outside the submitted work. Tapan M. Kadia reports grants/contracts from Ascentage Pharma, Bristol Myers Squibb Company, Genentech, and Jazz Pharmaceuticals; and personal/consulting fees from AbbVie, Agios Pharmaceuticals, Genentech, Novartis, and Servier Pharmaceuticals LLC outside the submitted work. Naval G. Daver reports institutional grants/contracts from AbbVie, Amgen, Bristol Myers Squibb Company, Daiichi Sankyo Company. FATE Therapeutics, Genentech USA Inc., Gilead Sciences Inc., Glycomimetics, Hanmi, ImmunoGen Inc., Kite Pharma Inc., Novimmune, Pfizer Inc., Servier Pharmaceuticals LLC, Trillium, and Trovagene; personal/consulting fees from AbbVie, Amgen, Agios Pharmaceuticals Inc., Arog Pharmaceuticals, Astellas Pharma, Bristol Myers Squibb, Celgene, Daiichi Sankyo Company, Genentech, Gilead Sciences Inc., ImmunoGen Inc., Jazz Pharmaceuticals, Kite Pharma Inc., Novartis, Pfizer Inc., Pfizer Canada Inc., Servier Pharmaceuticals LLC, Shattuck Labs, Stemline/Menarini, and Snydax; and support for other professional activities from Karyopharm Therapeutics outside the submitted work. Nicholas J. Short reports grants/contracts from Astellas Pharma, Stemline Therapeutics Inc., Takeda Oncology, and Xencor; and personal/consulting fees from Amgen, Novartis, and Pfizer Canada Inc. outside the submitted work. Nitin Jain reports grants/contracts from AbbVie, ADC Therapeutics, AstraZeneca, Cellectis, FATE Therapeutics, Genentech, Gilead Sciences Inc., and Pharmacyclics LLC; other funding support/gifts from AbbVie, AstraZeneca, Cellectis, and Gilead Sciences Inc.; personal/consulting fees from Adaptive Biotechnologies Corporation, BeiGene USA Inc., Bristol Myers Squibb Company, and Takeda Oncology; and travel support from Pharmacyclics LLC outside the submitted work. Alessandra Ferrajoli reports grants/contracts from AstraZeneca and BeiGene USA Inc.; and support for other professional activities from AbbVie, AstraZeneca, and Janssen Biotech outside the submitted work. Jan Burger reports grants/contracts from AbbVie, AstraZeneca AB, and BeiGene USA Inc.; support for other professional activities from BeiGene USA Inc. and Pharmacyclics LLC; and travel support from Janssen Global Services LLC outside the submitted work. Maro Ohanian reports personal/consulting fees from Bio-Path outside the submitted work. Ghayas C. Issa reports personal/consulting fees from Novartis, Sanofi, and Syndax; and service on a Novartis Data and Safety Monitoring Board outside the submitted work. Naveen Pemmaraju reports grants/contracts from the US Department of Defense; personal/consulting fees from AbbVie, Aptitude Health, Astellas Pharma, Blueprint Medicines Corporation, Bristol Myers Squibb Company, Celgene Corporation, Cimeio Therapeutics AG, ClearView Healthcare Partners, Dava Oncology, Harbourside Press, Immunogen, Incyte Corporation, Novartis, OncoLive, Patient Power, Protagonist Therapeutics, Stemline Therapeutics Inc., and Total CME; and support for other professional activities from the Anaplastic Anemia and MDS International Foundation, Cancer.Net, CareDx, CTI BioPharma, Curio Science, Dan’s House of Hope, EUSA Pharma (US) LLC, Imedex, Karger Publisher, Magdalen Medical Publishing, Medscape, Menarini Group, Neopharm, Payclex, PeerView Institute for Medical Education, PharmaEssentia, Physicians Education Resource, Postgraduate Education Resource, and Targeted Oncology outside the submitted work. Koji Sasaki reports support for professional activities from Amgen, Chugai Pharmaceutical, Daiichi Sankyo Company, Otsuka Pharmaceutical Company Ltd., Novartis, and Pfizer outside the submitted work. Koichi Takahashi reports personal/consulting fees from Otsuka Pharmaceutical and Symbio Pharmaceuticals; and support for other professional activities from Pfizer Inc. outside the submitted work. Prithviraj Bose reports grants/contracts from Ajax Therapeutics, Blueprint Medicines Corporation, Bristol Myers Squibb Company, Cogent BioSciences, CTI BioPharma, Dainippon Sumitomo Pharma, DISC Medicine, Geron Corporation, Incyte Corporation, Ionis Pharmaceuticals, Janssen Biotech Inc., Kartos Therapeutics, Karyopharm Therapeutics Inc., Morphosys, and Telios; and personal/consulting fees from AbbVie, Blueprint Medicines Corporation, Bristol Myers Squibb Company, Cogent BioSciences, CTI BioPharma, Dainippon Sumitomo Pharma, DISC Medicine, Geron Corporation, GlaxoSmithKline, Incyte Corporation, Ionis Pharmaceuticals, Jubilant Therapeutics, Karyopharm Therapeutics Inc., Keros Therapeutics, Morphic Therapeutic, Morphosys, Novartis, Raythera, and PharmaEssentia outside the submitted work. Lucia Masarova reports personal/consulting fees from PharmaEssentia; and support for other professional activities from Cogent Therapeutics LLC, GlaxoSmithKline LLC, and Morphosys outside the submitted work. Farhad Ravandi reports grants/contracts from Bristol Myers Squibb Company and Taiho Pharmaceutical; personal/consulting fees from AbbVie, Amgen, Astellas Pharma, Bristol Myers Squibb Company, Celgene Corporation, Novartis, and Taiho Pharmaceutical; and support for other professional activities from Celgene Corporation outside the submitted work. The remaining authors declared no conflicts of interest.
Funding Statement:
This research is supported in part by the MD Anderson Cancer Center Leukemia Support Grant (CA100632) and Charif Souki Cancer Research Fund
Gemtuzumab ozogamicin was provided by Pfizer. The sponsor had no role in the design, conduct or analysis of the study, or manuscript preparation.
Footnotes
Ethics Approval: This study was approved by the institutional review board of The University of Texas MD Anderson Cancer Center (2010–0981).
ClinicalTrials.gov Identifier: NCT01409161
Data sharing:
The study details are available online on ClinicalTrials.gov, reference number NCT01409161. The study data is not publicly available to respect participant confidentiality. Requests for sharing of deidentified data should be directed to the corresponding author.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The study details are available online on ClinicalTrials.gov, reference number NCT01409161. The study data is not publicly available to respect participant confidentiality. Requests for sharing of deidentified data should be directed to the corresponding author.
