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. 2024 Mar 26;14(1):54. doi: 10.1038/s41408-024-00996-x

How comparable are patient outcomes in the “real-world” with populations studied in pivotal AML trials?

Ing Soo Tiong 1,2,3, Meaghan Wall 3,4, Ashish Bajel 1,5,6, Akash Kalro 7, Shaun Fleming 2, Andrew W Roberts 1,5,6,8, Nisha Thiagarajah 5, Chong Chyn Chua 2,3,9, Maya Latimer 10,11,12, David Yeung 7,13, Paula Marlton 14,15, Amanda Johnston 16, Anoop Enjeti 17, Chun Yew Fong 18, Gavin Cull 19,20,21, Stephen Larsen 22, Glen Kennedy 23, Anthony Schwarer 24, David Kipp 25, Sundra Ramanathan 26, Emma Verner 27, Campbell Tiley 28,29, Edward Morris 30, Uwe Hahn 7,31,32, John Moore 33, John Taper 34, Duncan Purtill 20,35, Pauline Warburton 36, William Stevenson 37,38, Nicholas Murphy 39, Peter Tan 40, Ashanka Beligaswatte 7,41,42, Howard Mutsando 43, Mark Hertzberg 44, Jake Shortt 3,45, Ferenc Szabo 46, Karin Dunne 47, Andrew H Wei 1,5,6,8,; Australasian Leukaemia and Lymphoma Group (ALLG)
PMCID: PMC10965987  PMID: 38531863

Abstract

Despite an increasing desire to use historical cohorts as “synthetic” controls for new drug evaluation, limited data exist regarding the comparability of real-world outcomes to those in clinical trials. Governmental cancer data often lacks details on treatment, response, and molecular characterization of disease sub-groups. The Australasian Leukaemia and Lymphoma Group National Blood Cancer Registry (ALLG NBCR) includes source information on morphology, cytogenetics, flow cytometry, and molecular features linked to treatment received (including transplantation), response to treatment, relapse, and survival outcome. Using data from 942 AML patients enrolled between 2012–2018, we assessed age and disease-matched control and interventional populations from published randomized trials that led to the registration of midostaurin, gemtuzumab ozogamicin, CPX-351, oral azacitidine, and venetoclax. Our analyses highlight important differences in real-world outcomes compared to clinical trial populations, including variations in anthracycline type, cytarabine intensity and scheduling during consolidation, and the frequency of allogeneic hematopoietic cell transplantation in first remission. Although real-world outcomes were comparable to some published studies, notable differences were apparent in others. If historical datasets were used to assess the impact of novel therapies, this work underscores the need to assess diverse datasets to enable geographic differences in treatment outcomes to be accounted for.

Subject terms: Acute myeloid leukaemia, Epidemiology, Acute myeloid leukaemia

Introduction

One concern regarding the control arm of clinical trial populations, owing to strict patient selection criteria, is their generalizability to real-world AML outcomes. In 2012 the cooperative trial group, Australasian Leukaemia and Lymphoma Group (ALLG), established the National Blood Cancer Registry (NBCR) to serve as an umbrella registration framework for patients with acute myeloid leukemia (AML) intended for enrolment to ALLG clinical trials or standard of care (SOC) therapy, and link the data to the ALLG biobank. Participant recruitment to the ALLG NBCR is ongoing and covers the majority of hospitals providing active anti-leukemic therapy for patients with AML in Australia. The ALLG NBCR functions as a web-based interface, permitting entry of patient and AML disease characteristics, type and dose of chemotherapy received, transplantation details, clinical response and overall survival outcomes. The major strength of the ALLG NBCR is the collection of de-identified source data enabling verifiable analysis of full blood examination, bone marrow morphology, flow cytometric, cytogenetic and molecular parameters at diagnosis and at each response assessment, with primary reports scanned and stored into an electronic database. Using source data reports, the AML diagnosis for each patient is confirmed within the ALLG NBCR by an independent hematologist, and cytogenetic risk verified by an expert cytogeneticist.

A series of recent drug approvals has expanded the range of first-line therapeutic options available to patients with AML [1]. Randomized studies have demonstrated improved outcomes over SOC with addition of midostaurin to patients with FLT3 mutant AML [2], gemtuzumab ozogamicin (GO) for de novo CD33 + AML [3, 4], venetoclax for patients ineligible for intensive chemotherapy [5, 6], ivosidenib for elderly, unfit patients with IDH1 mutated AML [7], CPX-351 for patients with secondary/therapy-related AML [8] and oral azacitidine as maintenance therapy for patients ineligible for allogeneic hematopoietic cell transplantation (HCT) (Table 1) [9]. Concerningly, wide variation in AML clinical practice already existed prior to the introduction of these recently approved new drugs.

Table 1.

Summary of key clinical outcomes in trials leading to recent approvals for AML therapies.

Trial Therapy Regulatory approval in the US and Australia Target population SOC therapy CR/CRi rates (%) Median OS (months)
Active Control Active Control
Midostaurin*

FDA: 28-Apr-2017

TGA: 17-May-2018

PBS: 01-Dec-2018

FLT3 mutant AML

Age 18–59 y

7 + 3 58.9 53.5 74.7 25.6
Gemtuzumab ozogamicin†

FDA: 01-Sep-2017

TGA: 09-Apr-2020

PBS: 01-Mar-2022

De novo AML

Age 50–70 y

7 + 3 81.3 74.8 27.5 21.8
CPX-351

FDA: 03-Aug-2017

TGA: 03-Jun-2022

PBS: n/a

Secondary or therapy related AML

Age 60–75 y

7 + 3 47.7 33.3 9.6 6.0
CC-486

FDA: 01-Sep-2020

TGA: 08-Apr-2022

PBS: 01-Sep-2023

AML in CR1 and not candidates for HCT

Age ≥55 y

Nil - - 24.7 14.8
Venetoclax§

FDA: 21-Nov-2018

TGA: 20-Apr-2020

PBS: 01-Dec-2021

Age ≥75 y or unfit AZA 66.4 28.3 14.7 9.6
Venetoclax§

FDA: 21-Nov-2018

TGA: n/a

PBS: n/a

Age ≥75 y or unfit LDAC 48 13 8.4 4.1
Ivosidenib

FDA: 25-May-2022

TGA: 06-Apr-2023

PBS: n/a

Age ≥75 y or unfit AZA 54 16 24.0 7.9

*Included only CR achieved by 60 days.

Included CR and CRp; median OS as per updated analysis (Lambert, Haematologica 2019).

§Venetoclax in combination with azacitidine, or decitabine, or LDAC was granted accelerated approval by FDA on 21-Nov-2018, followed by full approval on 16-Oct-2020. In Australia, the approval is only for use in combination with azacitidine.

AML acute myeloid leukemia, AZA azacitidine, CR complete remission, CR1 first remission, CRi CR with incomplete hematologic recovery, CRp CR with incomplete platelet recovery, HCT hematopoietic cell transplantation, LDAC low-dose cytarabine, n/a not available, OS overall survival, PBS Pharmaceutical Benefits Scheme, SOC standard of care, TGA Therapeutic Goods Administration, y years.

To illustrate similarities and differences in what was considered “standard of care” in the control arm of clinical AML studies used to support recent drug approvals by the FDA with current SOC in Australia, we undertook a comparative analysis with defined patient sub-populations in the NBCR matched to the control arm of published randomized studies involving frontline AML drugs. Real-world data comprised information from patients enrolled to the ALLG NBCR between 2012 and 2018, prior to reimbursed access to new AML drugs in Australia.

Subjects and methods

The ALLG NBCR (ACTRN12612000337875) was approved by the Human Research and Ethics Committees of the Alfred Hospital (181/12) and Royal Melbourne Hospital (2012.105) and activated in December 2012. Written informed patient consent was obtained from all participating patients. Standardized web-based electronic data case report forms collected details of patient demography, AML diagnosis, including baseline diagnostic laboratory assessment, treatment received, disease status and survival outcome (Table S1). At registration, patients were invited to consent to storage of diagnostic bone marrow and/or blood samples to a tissue repository for future research. An expert cytogeneticist was appointed to centrally review de-identified cytogenetic reports to confirm karyotypic risk classification using Medical Research Council (MRC) 2010 criteria [10]. To enable comparison with published studies, cytogenetic risk was reclassified to align with the relevant study being assessed, including European LeukemiaNet (ELN) 2010 [11] or National Comprehensive Cancer Network (NCCN) recommendations. Molecular testing was performed according to local standard practice. A panel of 4 hematologists centrally reviewed bone marrow, flow cytometric, cytogenetic and molecular reports to assign patients to an AML World Health Organization (WHO) 2008 diagnostic category, as this was the classification schema used in most of the AML studies examined [12]. Serial follow-up was conducted to monitor for disease and survival status.

For the current analysis, a data extract was performed on 20-Aug-2020 for patients registered up to 30-April-2018 from 35 treatment centers. Continuous variables were expressed as medians or means according to the clinical trial in comparison. Categorical variables were summarized as counts and percentages. Group comparisons were performed using the Fisher’s exact test. Overall survival (OS) was calculated from date of diagnosis or, if missing, date of registration to date of death from any cause. Relapse-free survival was from the date of first remission to date of relapse or death from any cause. Kaplan–Meier survival curves were compared using log-rank statistics. All tests were two-sided and considered significant where p < 0.05. Statistical analyses by R statistical software version 3.6.2.

Results

Recruitment summary

Between December 2012 and April 2018, the ALLG NBCR registered 1022 patients (Fig. S1). Patients with acute promyelocytic leukemia (n = 62) were excluded from analyses. Another 18 patients were excluded because of a diagnosis other than AML, leaving a total of 942 patients in the final analysis cohort (Fig. S2). During this period, 11% of NBCR participants were also co-enrolled to an ALLG clinical trial, including the AMLM15 (n = 20; ACTRN12610000627055), AMLM16 (n = 81; ACTRN12611001112954) and AMLM21 (n = 1; ACTRN12614000810617) studies (Supplementary Information).

Data coverage and quality

Data quality for relevant data fields are summarized in Table S2. Baseline bone marrow morphology, flow cytometry and cytogenetic reports were available for most patients (>90%). Molecular pathology results for FLT3-ITD, NPM1, IDH1/2 and CEBPA were available in 82%, 69%, 20% and 14%, respectively. Details regarding first line treatment were available for approximately 90% of the population. Median follow up for surviving patients was 32 months (range <1 to 107 months). For deceased patients, cause of death was provided in 89% of instances.

Baseline characteristics

Patient demographic and disease characteristics are summarized in Table S3. The initial phase of the clinical registry focused on enrolment of patients fit for intensive chemotherapy (median age 57, range 16–80), received by 85% of patients, with allogeneic HCT performed in 21% of the study population. Low-intensity therapy (median age 75, range 54–92) and best supportive care (median age 75, range 57–88) were delivered to 9% and 4% patients in the registry, respectively. The entire study population had a slight male preponderance (55%). The median baseline white blood count (WBC) was 7.4 × 109/L, with 8% of patients presenting with hyperleukocytosis (WBC > 100 × 109/L). The proportion of patients diagnosed with de novo AML was 88%, whereas 12% of cases had AML with a prior history of cytotoxic therapy or radiotherapy (5.4%), myelodysplastic syndrome (MDS, 4.2%), chronic myelomonocytic leukemia (CMML, 1.8%) or myeloproliferative neoplasm (MPN, 0.7%). Cytogenetic data was available in 92% patients: with favorable, intermediate, adverse or unknown cytogenetic risk in 10%, 63%, 19% and 8%, respectively. Complex (≥3 abnormalities) and monosomal karyotype were present in 16% and 12% of patients. The commonest AML sub-groups were AML with myelodysplasia-related changes (AML-MRC; 28.3%) and AML not otherwise specified (28.0%). Mutations were detected in NPM1 (35%), FLT3-ITD (23%), IDH1 (14.5%), IDH2 (16.8%), CEBPA (6.7% biallelic) and FLT3-TKD (6%).

Registry-based outcomes for patients with FLT3 mutant AML aged 18–59 years prior to the introduction of midostaurin

Reimbursed midostaurin became available on the Australian Pharmaceutical Benefits Scheme (PBS) from December 2018, with approval based on the pivotal RATIFY trial in which 707 patients aged 18–59 years with newly diagnosed FLT3 mutation positive AML were randomized (between 2008 and 2011) to either midostaurin or placebo in combination with intensive induction and consolidation therapy. Addition of midostaurin improved 4-year OS (51% vs 44%), the primary endpoint of the study [2]. The 60-day complete remission (CR) rate was similar in the midostaurin and placebo arms (59% vs 54%).

In the ALLG NBCR cohort, 121 patients aged 18–59 years with newly diagnosed FLT3-ITD (allelic ratio ≥0.05; n = 103) and FLT3-TKD (n = 19; 1 had concurrent ITD) mutated AML treated with intensive chemotherapy without midostaurin were identified. The FLT3-ITD allelic ratio was <0.5, 0.5–0.7 and >0.7 in 43%, 16% and 24% of patients, respectively. FLT3-TKD was mutated in 20% of patients. Compared to the RATIFY study, patients in the ALLG NBCR were similar in terms of median age, gender distribution, FLT3-ITD allelic ratio and frequency of concurrent NPM1 mutation (Table 2). The major baseline difference was a higher median WBC at diagnosis in the ALLG NBCR cohort (42 × 109/L), compared to the RATIFY study population (33–36 × 109/L), and more patients had favorable cytogenetic risk (9% vs 5–6%). Induction in the ALLG NBCR cohort utilized idarubicin as the main anthracycline as part of a 7 + 3 (35%) or high-dose cytarabine-based (65%) induction regimen, with both induction approaches delivering similar OS outcomes in FLT3 mutated AML (Fig. 1A).

Table 2.

Characteristics and outcomes of patients enrolled to the RATIFY study or the ALLG NBCR aged 18–59 with FLT3 mutation receiving intensive chemotherapy#.

Characteristics RATIFY – EXP (n = 360) RATIFY – PBO (N = 357) NBCR (N = 121)
Age, years, median (range) 47.1 (19.0–59.8) 48.6 (18.0–60.9) 44 (18–59)
Male gender (%) 48.3 40.6 47.9
White blood cell (x109/L), median (range) 35.6 (0.6–421.8) 33.0 (0.8–329.8) 42.4 (1.3–349.2)
Cytogenetic risk according to ELN 2010, n (%)*
 - Favorable 16/269 (5.9) 13/278 (4.7) 10/113 (8.8)
 - Intermediate 231/269 (85.9) 248/278 (89.2) 100/113 (88.5)
 - Adverse 22/269 (8.2) 17/278 (6.1) 3/113 (2.7)
FLT3 mutation subtype, n (%)
 - TKD 81 (22.5) 81 (22.7) 19/93 (20.4)
 - ITD allelic ratio <0.5 171 (47.5) 170 (47.6) 52 (43.0)
 - ITD allelic ratio 0.5–0.7 19 (15.7)
 - ITD allelic ratio >0.7 108 (30.0) 106 (29.7) 32 (26.4)
NPM1 mutation, n (%)† 244/427 (57.1) 57/101 (56.4)
Treatment response, n (%)
 - CR 212 (58.9) 191 (54.0) 70/116 (60.3)
 - Death 16 (4.4) 11 (3.1) 2/116 (1.7)
Allogeneic HCT, n (%)
 - All patients 213 (59.2) 196 (54.9) 60 (49.6)
 - In first remission 101 (28.1) 81 (22.7) 56 (46.3)
OS, months, median (95% CI) 74.7 (31.5–NR) 25.6 (18.6–42.9) 45.7 (29.3–NR)
OS at 4 years, % (95% CI)‡ 51.4 44.3 43.2 (29.8–62.7)

#N represents the total population; for individual variables, some data were not measured/reported, and the appropriate denominator is specified in these instances. Some percentages do not add up to 100 due to rounding.

*Modified to combine both normal karyotype and intermediate II categories into a single intermediate group.

Data on NPM1 mutation were not separately reported for treatment arms (Döhner et al. Blood 2020).

95% CI not reported by the RATIFY study. Note median follow-up was 59 and 25 months in the RATIFY study and the NBCR cohort, respectively.

CR complete remission, CI confidence interval, ELN European LeukemiaNet, EXP experimental, HCT hematopoietic cell transplantation, ITD internal tandem duplication, NR not reached, OS overall survival, PBO placebo, TKD tyrosine kinase domain.

Fig. 1. Kaplan Meier survival curves among the key subgroups of ALLG NBCR cohort. Log-rank statistics are used for comparisons.

Fig. 1

A Overall survival (OS) among all patients aged 18–59 years with FLT3-ITD and TKD mutated AML who received intensive chemotherapy, and according to the induction intensity (high or intermediate-dose cytarabine with anthracycline [H/IDAC + 3] versus standard 7 + 3). Missing induction regimen data for 1 patient. B OS and event-free survival (EFS) among patients aged 50–70 years with de novo AML who received intensive chemotherapy. Missing OS and EFS outcome data for 4 and 5 patients, respectively. C OS among patients aged 60–75 years with secondary or therapy-related AML who received intensive chemotherapy. Missing data for 2 patients. (D + E) OS (with 4-month landmark) among patients aged ≥55 years in first remission (CR1) according to (D) allogeneic HCT in CR1, and (E) number of consolidation chemotherapy received among patients (n = 185) not proceeding to HCT in CR1. F OS among patients who were unfit for intensive chemotherapy, according to the low-intensity regimens received.

Rates of CR in the ALLG NBCR cohort and the control arm of RATIFY were similar (60% vs 54%) (Table 2). Although overall rates of HCT were also similar, more patients underwent HCT in first remission in the ALLG NBCR cohort, compared to the RATIFY study (46 vs 25%, p < 0.001). With a median follow-up time of 25 months for patients in the ALLG NBCR cohort, the median OS was 45.7 months (95% CI, 29.3–NR) (Fig. 1A), compared to 25.6 months (95% CI, 18.6–42.9) and 74.7 months (95% CI, 31.5–NR) for patients in the placebo or midostaurin arms of the RATIFY study, respectively. The estimated 4-year OS was 43.2% (95% CI, 29.8–62.7) in the NBCR cohort, compared to 44.3% and 51.4% for patients in the placebo or midostaurin arms of the RATIFY study, respectively.

Registry-based outcomes for patients with de novo AML aged 50–70 years prior to the introduction of gemtuzumab ozogamicin

The French ALFA-0701 study randomized 280 patients to intensive chemotherapy (7 days of infusional cytarabine plus 3 days of daunorubicin) with or without GO 3 mg/m2 on days 1, 4, and 7 during induction and day 1 of each of 2 consolidation courses. The study enrolled patients with de novo AML aged 50–70 years between 2008–2010. GO was associated with an improved 2-year event free survival (EFS) (40.8% vs 17.1%), the primary endpoint of the study [3, 4].

GO was publicly subsidized by the PBS in Australia from March 2022. In the ALLG NBCR, 523 patients were aged between 50–70 years and 447 had de novo AML, of which 418 (94%) received intensive induction chemotherapy without GO. Table 3 compares the characteristics and outcomes of patients enrolled to the ALLG NBCR and both arms of the ALFA-0701 study. Baseline median age, cytogenetic and molecular characteristics were similar between the two cohorts. In the ALLG NBCR cohort, idarubicin (12 mg/m2) was the dominant anthracycline (93%) used in induction, compared to daunorubicin (60 mg/m2) in the ALFA-0701 study. The ALFA-0701 trial utilized daunorubicin in combination with intermediate-dose cytarabine (1 g/m2) as the consolidation backbone. Consolidation regimens in the ALLG NBCR cohort included intermediate-dose (1–1.9 g/m2 in 39%) or high-dose (≥2 g/m2 in 25%) cytarabine, with only 30% utilizing anthracycline. The ALLG NBCR cohort had a higher rate of allogeneic HCT in first remission (21% vs 14% compared to the ALFA-0701 study, p = 0.03).

Table 3.

Characteristics and outcomes of patients enrolled to the ALFA-0701 study or the ALLG NBCR aged 50–70 years with de novo AML receiving induction chemotherapy#.

Characteristics ALFA – EXP (N = 139) ALFA – PBO (N = 139) NBCR (N = 418)
Age, years, median (IQR) 62.8 (59.3, 66.8) 61.7 (57.4, 65.6) 61.0 (56.0, 66.0)
 - Age ≥60, n (%) 100 (72) 86 (62) 246 (59)
Male gender, n (%) 77 (55) 61 (44) 235 (56)
White blood cell (x109/L), median (IQR) 6.9 (2.3, 30.4) 5.0 (1.9, 26.7) 5.2 (2.1, 21.4)
Platelet count (x109/L), median (IQR) 66.0 (36.5, 118.5) 67.5 (36.3, 125.5) 65.0 (38.0, 127.5)
Cytogenetic risk according to study definition, n (%)
 - Favorable 3/122 (2.5) 6/127 (4.7) 36/397 (9.1)
 - Intermediate 91/122 (74.6) 91/127 (71.7) 274/397 (69.0)
 - Adverse 28/122 (23.0) 30/127 (23.6) 87/397 (21.9)
FLT3-ITD, n (%) 22/137 (16.1) 27/138 (19.6) 76/366 (20.8)
NPM1 mutation, n (%) 45/136 (33.1) 48/138 (34.8) 113/307 (36.8)
Favorable ELN 2010, n (%) 24/119 (20.2) 24/125 (19.2) 61/359 (17.0)
Induction courses >1 25 (18.0) 35 (25.2) 42 (10.0)
Treatment response, n (%)*
 - CR 102 (73.4) 100 (71.9) 259/396 (65.4)
 - CRp 11 (7.9) 4 (2.9) 57/396 (14.4)
 - No CR/CRp 17 (12) 29 (21) 67/396 (16.9)
 - Death 9 (6.4) 6 (4.3) 13/396 (3.3)
Allogeneic HCT, n (%)
 - All patients 32 (23.7) 53 (39.0) 109 (26.1)
 - In first remission 17/135 (12.6) 22 (16.2) 87/417 (20.9)
EFS, months, median (95% CI) 15.6 (11.7–22.4) 9.7 (8.0–11.9) 15.9 (12.3–21.4)
EFS at 2 years, % (95% CI) 40.8 (32.8–50.8) 17.1 (10.8–27.1) 42.7 (37.8–48.2)
OS, months, median (95% CI) 27.5 (21.4–45.6) 21.8 (15.5–27.4) 28.1 (22.7–40.6)
OS at 2 years, % (95% CI) 53.2 (44.6–63.5) 41.9 (33.1–53.1) 53.5 (48.4–59.1)

#N represents the total population; for individual variables, some data were not measured/reported, and the appropriate denominator is specified in these instances. Some percentages do not add up to 100 due to rounding.

*CRp rates are not available for the NBCR; CRi rates are reported instead.

Median OS for the ALFA-0701 cohort was based on the study update analysis (Lambert, Haematologica 2019).

CR complete remission, CRp CR with incomplete platelet recovery, EFS event-free survival, ELN European LeukemiaNet, EXP experimental, HCT hematopoietic cell transplantation, IQR interquartile range, NCCN National Comprehensive Cancer Network, OS overall survival, PBO placebo.

For patients recorded as receiving intensive chemotherapy in the ALLG NBCR, the CR rate was 65% (vs 72% for the SOC [7 + 3] arm of ALFA-0701), 2-year EFS was 43% (95% CI, 38–48) (vs 17% in the SOC arm of ALFA [95% CI, 11–27]) and 2-year OS 54% (95% CI, 48–59) (vs 42% in the SOC arm of ALFA [95% CI, 33–53]) (Fig. 1B).

Registry-based outcomes for patients with secondary/therapy-related AML aged 60–75 years prior to the introduction of CPX-351

CPX-351 was examined in an open label registration study, which randomized 309 patients between 2012–2014 to either 7 + 3 induction followed by 2 cycles of 5 + 2 consolidation, or CPX-351 for 1-2 induction cycles followed by consolidation with a similar regimen. The study enrolled patients with secondary or therapy-related AML aged 60–75 years. CPX-351 was associated with an improved median OS (9.6 vs 6.0 months), the primary endpoint of the study, and a higher complete response rate (48% vs 33%) [8]. The improved OS was maintained at 5-year follow-up: 18% vs 8% [13].

CPX-351 has been approved for marketing in Australia by the Therapeutic Goods Administration but is yet to be publicly subsidized in Australia. In the ALLG NBCR cohort, 387 patients were aged between 60–75 years and 85 (22%) received intensive chemotherapy for secondary (85%) or therapy-related (15%) AML. Secondary AML was defined by myelodysplasia-related cytogenetic abnormalities and/or prior MDS/CMML; AML-MRC based solely on morphology and those with antecedent myeloproliferative neoplasm were excluded from this analysis as per the eligibility criteria of the CPX-351 registration study [8].

Table 4 compares the characteristics and outcomes of patients enrolled to the CPX-351 study or the ALLG NBCR. Patients in the ALLG NBCR were less frequently ≥70 years (19% vs 36%, p = 0.003), more commonly had a baseline WBC ≥ 20 (31% vs 15%, p = 0.008) and more frequently had adverse risk karyotype (69% vs 50%, p = 0.02). The dominant anthracycline used for induction in the ALLG NBCR cohort was idarubicin (90%), compared to daunorubicin for patients in the control arm of the CPX-351 study. Furthermore, intermediate-dose cytarabine consolidation was used among 43% (15/35) of patients in the ALLG NBCR cohort, compared to 5 + 2 consolidation for all patients in the control arm of the CPX-351 study. Allogeneic HCT was more common in the CPX-351 study (29% vs 7% in the NBCR cohort, p < 0.001).

Table 4.

Characteristics and outcomes of patients enrolled to the CPX-351 study or the ALLG NBCR aged 60–75 years with secondary or therapy-related AML receiving induction chemotherapy#.

Characteristics CPX-351 (N = 153) 7 + 3 (N = 156) NBCR (N = 85)
Age, years, mean (SD) 67.8 (4.2) 67.7 (4.1) 65.7 (3.8)
 - Age 60–69, n (%) 96 (62.7) 102 (65.4) 69 (81.2)
 - Age 70–75, n (%) 57 (37.3) 54 (34.6) 16 (18.8)
Male gender, n (%) 94 (61.4) 96 (61.5) 49 (57.6)
White blood cell, n (%)
 - <20 × 109/L 131 (85.6) 131/155 (84.5) 59 (69.4)
 - ≥20 × 109/L 22 (14.4) 24/155 (15.5) 26 (30.6)
Cytogenetic risk according to NCCN version 2.2011, n (%)*
 - Favorable 7/143 (4.9) 5/146 (3.4) 1/81 (1.2)
 - Intermediate 64/143 (44.8) 58/146 (39.7) 24/81 (29.6)
 - Adverse 72/143 (50.3) 83/146 (56.8) 56/81 (69.1)
FLT3 mutation, n (%) 22/138 (15.9) 21/141 (14.9) 10/64 (15.6)
AML subtype, n (%)
 - Therapy-related AML 30 (19.6) 33 (21.2) 13 (15.3)
 - AML with antecedent MDS 71 (46.4) 74 (47.4) 18 (21.2)
 - AML with antecedent CMML 11 (7.2) 12 (7.7) 4 (4.7)
 - De novo with MDS karyotype 41 (26.8) 37 (23.7) 50 (58.8)
Treatment response, n (%)
 - CR/CRi 47.7% 33.3% 42/79 (53.2)
 - CR 37.3% 25.6% 28/79 (35.4)
 - TRM at 30 days 5.9% 10.6% 11/83 (13.3)
 - TRM at 60 days 13.7% 21.2% 20/83 (24.1)
Allogeneic HCT in CR1, n (%) 52 (34.0) 39 (25.0) 6 (7.1)
EFS, months, median (95% CI) 2.53 (2.07–4.99) 1.31 (1.08–1.64) 4.01 (2.43–7.06)
OS, months, median (95% CI) 9.56 (6.60–11.86) 5.95 (4.99–7.75) 9.46 (4.3–13.8)
OS landmarked from HCT, months, median (95% CI) NR 10.25 (6.21–16.69) 11.07 (9.89–NR)

#N represents the total population; for individual variables, some data were not measured/reported, and the appropriate denominator is specified in these instances. Some percentages do not add up to 100 due to rounding.

*NCCN version was not specified in the original publication. As the patient enrollment commenced in 2012 in the CPX-351 study, we have classified the patients in the NBCR cohort using NCCN version 2.2011.

FLT3 ITD versus TKD status was not specified in the original publication. The NBCR cohort included 8 patients with FLT3-ITD and 2 patients with FLT3-TKD.

AML acute myeloid leukemia, CMML chronic myelomonocytic leukemia, CR1 first remission, CR complete remission, CRi CR with incomplete hematologic recovery, EFS event-free survival, HMA hypomethylating agent, HCT hematopoietic cell transplantation, MDS myelodysplastic syndrome, NCCN National Comprehensive Cancer Network, NR not reached, NR not reached, OS overall survival, SD standard deviation, TRM treatment-related mortality.

Rates of CR/CRi in the ALLG NBCR cohort were 53% vs 33% (p = 0.005) in the control arm of the CPX-351 study. With a median follow-up time of 40 months in the ALLG NBCR cohort, median OS was 9.5 months (95% CI, 4.3–13.8) (Fig. 1C), compared to 5.95 months (95% CI, 4.99–7.75) in the control arm of the CPX-351 study.

Registry-based outcomes for patients aged ≥ 55 years in first remission after intensive chemotherapy prior to the introduction of oral azacitidine

The QUAZAR study randomized 472 patients between 2013–2017 to either oral azacitidine maintenance therapy or placebo. The study enrolled patients with non-CBF AML ≥ 55 years in first CR or CR with incomplete hematologic recovery (CRi) after induction +/− consolidation therapy among patients considered ineligible for allogeneic HCT. The primary endpoint of the trial was OS. Oral azacitidine was associated with an improved median OS (25 vs 15 months). Median time from CR to randomization was 85 days [9].

Oral azacitidine was listed on the PBS in Australia on 01-Sep-2023. In the ALLG NBCR cohort, induction chemotherapy was administered to 406 patients ≥55 years with non-CBF AML. CR or CRi after one or two (n = 34) induction cycles was achieved in 278 (68%) patients. After excluding early relapses or deaths within 85 days, 239 patients were included in the analysis, among which 54 patients (23%) underwent allogeneic HCT in the first remission, compared to 14% in the no maintenance arm of the QUAZAR study. The remaining 185 patients in the ALLG NBCR cohort exhibited a profile similar to the study population enrolled in the QUAZAR study; characteristics and outcomes are summarized in Table 5. Median age in the ALLG NBCR and the QUAZAR study were comparable (65 vs 68 years) and a similar proportion had adverse cytogenetic risk (~15%) or de novo AML (94% vs 91%). The proportion of patients in QUAZAR receiving none, one or ≥2 consolidation cycles after achieving CR/CRi were 20%, 45% and 35%, respectively, compared to 11%, 70% and 18% of patients in the ALLG NBCR cohort (p < 0.001).

Table 5.

Characteristics and outcomes of patients enrolled to the QUAZAR study or the ALLG NBCR aged ≥55 years in CR or CRi after intensive chemotherapy#.

Characteristics CC-486 (EXP) (N = 238) CC-486 (PBO) (N = 234) NBCR (no HCT) (N = 185) NBCR (HCT) (N = 54) P*
Age, years, median (range) 68 (55–86) 68 (55–82) 65 (55–77) 59 (55–69) <0.001
 - Age ≥65 years, n (%) 172 (72) 166 (71) 94 (51) 10 (19) <0.001
Male gender, n (%) 118 (50) 127 (54) 103 (56) 29 (54) 0.9
Cytogenetic risk according to NCCN version 2.2011, n (%) 0.04
 - Intermediate 203 (85) 203 (87) 155/181 (86) 39 (72)
 - Adverse 35 (15) 31 (13) 26/181 (14) 15 (28)
De novo AML, n (%) 213 (89) 216 (92) 174 (94) 49 (91) 0.4
Treatment response, n (%) 1
 - CR 187 (79) 197 (84) 155 (84) 46 (85)
 - CRi 51 (21) 37 (16) 30 (16) 8 (15)
Received consolidation, n (%) 0.4
 - No 52 (22) 42 (18) 21 (11) 8 (15)
 - 1 cycle 110 (46) 102 (44) 130 (70) 40 (74)
 - ≥2 cycles 76 (32) 90 (39) 34 (18) 6 (11)
OS, months, median (95% CI) 24.7 (18.7–30.5) 14.8 (11.7–17.6) 32.2 (23.3–48.1) NR (42.3–NR) 0.04

#N represents the total population; for individual variables, some data were not measured/reported, and the appropriate denominator is specified in these instances. Some percentages do not add up to 100 due to rounding.

*Comparison between HCT or no HCT in first remission in the ALLG NBCR cohort. Student’s t-test for continuous variables, Fisher’s exact test for categorical variables, and log-rank test for overall survival analysis (4-month landmark).

AML acute myeloid leukemia, CR complete remission, CRi CR with incomplete hematologic recovery, EXP experimental, HCT hematopoietic cell transplantation, NCCN National Comprehensive Cancer Network, NR not reached, OS overall survival, PBO placebo.

With a median follow-up time of 30.7 months in the ALLG NBCR cohort (4-month landmark), the median OS for patients who did not proceed to allogeneic HCT was 32.2 months (vs not reached in those who underwent HCT in first remission) (Fig. 1D), compared to 14.8 and 24.7 months for patients in the QUAZAR study receiving placebo or CC-486, respectively (Table 5). Among the ALLG NBCR cohort not proceeding to allogeneic HCT in first remission (n = 185), there was no significant difference in OS outcome for patients receiving 0, 1 or ≥2 consolidation cycles (Fig. 1E).

Registry-based outcomes for patients receiving non-intensive therapy prior to the introduction of venetoclax

Venetoclax in combination with azacitidine became available for general use in Australia from December 2021 for older patients unfit for intensive chemotherapy. The VIALE-A study enrolled patients between 2017–2019 with newly diagnosed AML ≥ 75 years or ineligible to receive intensive chemotherapy and excluded those with prior hypomethylating agent (HMA) exposure. In VIALE-A, 431 patients were randomized to either venetoclax or placebo in combination with azacitidine. The venetoclax arm had an improved median OS (14.7 vs 9.6 months) and rate of CR/CRi (66.4% vs 28.3%) over placebo [5].

The VIALE-C study also enrolled patients between 2017–2018 with newly diagnosed AML who were either ≥75 years or ineligible to receive intensive chemotherapy, but in contrast to VIALE-A, permitted patients with prior HMA exposure, a group which comprised 20% patients. A total of 211 patients were randomized to either venetoclax or placebo in combination with low-dose cytarabine (LDAC). In a post-hoc secondary analysis using more mature follow-up data, venetoclax was associated with an improved median OS (8.4 vs 4.1 months) and CR/CRi (48% vs 13%) [6].

In the ALLG NBCR, a total of 121 patients were deemed unfit and not given intensive chemotherapy. Seventeen patients received venetoclax and 40 patients opted for best supportive care only and were excluded from analysis. The remaining 64 patients received low-intensity therapy with a median age of 77 years, which was similar to VIALE-A (76 years) and VIALE-C (76 years) (Table 6). The proportion of patients with adverse cytogenetic risk was also comparable (26% vs 30–39%). The frequency of secondary AML was more common in the VIALE-C study (38%), compared to 25% in VIALE-A and 27% in the ALLG NBCR cohort (p = 0.002). The form of non-intensive therapy used for initial treatment of AML in the ALLG NBCR included HMA (67%), LDAC (13%), or other (20%), and the corresponding median bone marrow blast percentages were 26% (>30% blasts in 20% of patients), 62% and 79%, respectively. After a median follow-up time of 32 months (range 10–36) in the ALLG NBCR cohort, median OS for patients treated with either HMA or LDAC was 9.9 and 4.1 months (Fig. 1F), respectively, remarkably similar to the median OS observed for the respective SOC arms of VIALE-A (9.6 months for azacitidine) and VIALE-C (4.1 months for LDAC).

Table 6.

Characteristics and outcomes of patients enrolled to the VIALE-A, VIALE-C and the ALLG NBCR receiving low-intensity therapy#.

Characteristics VIALE-A (n = 286) AZA-PBO (n = 145) VIALE-C (n = 143) LDAC-PBO (n = 68) NBCR (n = 64)
Age, years, median (range) 76 (49–91) 76 (60–90) 76 (36–93) 76 (41–88) 77 (54–92)
Age ≥75 years, n (%) 174 (61) 87 (60) 82 (57) 40 (59) 38 (59)
Male gender, n (%) 172 (60) 87 (60) 78 (55) 39 (57) 41 (64)
AML type
 - De novo 214 (75) 110 (76) 85 (59) 45 (66) 47 (73)
 - Secondary 72 (25) 35 (24) 58 (41) 23 (34) 17 (27)
Secondary AML type
 - Therapy related 26/72 (36) 9/35 (26) 6/58 (10) 4/23 (17) 6/17 (35)
 - Prior hematologic disorder 46/72 (64) 26/35 (74) 52/58 (90) 19/23 (83) 11/17 (65)
Cytogenetic risk according to NCCN version 2.2016, n (%)
 - Favorable - - 1 (1) 3 (5) -
 - Intermediate 182 (64) 89 (61) 90 (65) 43 (65) 40/54 (74)
 - Adverse 104 (36) 56 (39) 47 (34) 20 (30) 14/54 (26)
NPM1 mutation, n (%) 27/163 (17) 17/86 (20) 18 (16) 7 (14) 10/25 (40)
FLT3 mutation, n (%) 29/206 (14) 22/108 (20) 20 (18) 9 (17) 5/26 (19)
Treatment response (%)
 - CR/CRi 66.4 28.3 48 13 31.6
 - CR 36.7 17.9 27 7 15.8
OS, months, median (95% CI) 14.7 (11.9–18.7) 9.6 (7.4–12.7) 8.4 (5.9–10.1) 4.1 (3.1–8.1) 9.3 (5.3–19.3)

#N represents the total population; for individual variables, some data were not measured/reported, and the appropriate denominator is specified in these instances. Some percentages do not add up to 100 due to rounding.

AML acute myeloid leukemia, AZA azacitidine, CR complete remission, CRi CR with incomplete hematologic recovery, LDAC low-dose cytarabine, NCCN National Comprehensive Cancer Network, OS overall survival, PBO placebo.

Among patients receiving low-intensity therapy in the ALLG NBCR, only 5 patients were documented to undergo testing for the IDH1 mutation, and none of them tested positive. It is worth noting that systematic data capture for IDH1/2 mutation on the ALLG NBCR only commenced in October 2017. A comparison with the standard arm of the AGILE study [7], which compared ivosidenib or placebo plus azacitidine, was therefore not performed.

Discussion

The ALLG NBCR was established as an umbrella framework for the collection of SOC AML patient data and for linkage to both sample collection (under an opt-in consent approach) and possible co-enrollment to ALLG clinical trials. Several large population-based AML registries such as the Surveillance, Epidemiology and End Results (SEER) database in United States [1416], the Swedish Acute Leukemia Registry [1719], and the Danish National Acute Leukemia Registry [20] have described the longitudinal treatment outcomes of patients with AML over several decades. Key features distinguishing the ALLG NBCR from other cancer registries are source data review of karyotype by an independent cytogeneticist and AML diagnosis by an independent team of hematologists, documentation of each component of treatment and dose received by the patient, and source verification of treatment outcomes using primary bone marrow reports.

In this study, we compared treatment practices and outcomes in real-world patients enrolled to the ALLG NBCR with study populations included as the control arm of several frontline treatment indications (midostaurin, GO, CPX-351, oral azacitidine and venetoclax) prior to their approval and availability in Australia. Overall, we observed that survival outcome among comparable cohorts captured in the ALLG NBCR appeared either similar to, or superior to the control arm of clinical trials examining the benefit of adding midostaurin, GO, CPX-351, CC-486 or venetoclax to standard of care. This was despite substantial variation in patient demographic profile and treatment regimens used in various clinical trials, compared to “real-world” practice.

The intensive chemotherapy backbone used by most centers in Australia has been influenced in part by locally conducted cooperative group clinical trials [2124] and subsequent modifications [2527]. These include the use of idarubicin as the dominant anthracycline and delivery of higher-dose cytarabine (1000–3000 mg/m2) during induction, especially for patients up to the age of 55. Registration clinical trials for midostaurin, GO and CPX-351 used a backbone comprising daunorubicin 60 mg/m2 and cytarabine 100–200 mg/m2. The choice of anthracycline (idarubicin versus daunorubicin) has been the subject of several studies and meta-analyses [2830]. Although there is no general impact of cytotoxic dose intensity on outcome expected with the regimens used in this study, intensified daunorubicin in AML induction (90 mg/m2 vs 60 mg/m2) has been shown in a post-hoc analysis to provide some benefit to patients with FLT3-ITD [31, 32]. In addition, higher-dose cytarabine induction in another post-hoc analysis of a randomized trial was shown to improve survival outcomes among patients <46 years [33].

Among patients with FLT3 mutated AML, treatment backbone differences (e.g. 7 + 3 vs higher-dose cytarabine based induction) did not appear to result in sustained differences in treatment outcome within the ALLG NBCR cohort, nor in numerical comparison to 4-year survival with the control arm of RATIFY (Fig. 1A and Table 2). A higher baseline WBC was noted for patients in the ALLG NBCR cohort, likely reflecting a less restricted patient population than required for entry to clinical trials. In RATIFY, 20% of patients with FLT3 mutation at screening were not randomized to the study [2]. Despite the higher WBC in the ALLG NBCR population, the 30-day early death rate was ~2%, similar to RATIFY (~4%).

Patients with de novo AML aged 50–70 years in the ALLG NBCR appeared to have complete remission (CR/CRp) and overall survival outcomes comparable to the GO arm of the ALFA-0701 study (Fig. 1B and Table 3). Although GO is associated with a dominant survival benefit among patients with core-binding factor AML [34], the proportion of patients with favorable cytogenetic risk de novo AML aged between 50–70 years was only 9% and 4% in the NBCR and ALFA-0701 cohorts, respectively. One major difference in practice between the NBCR cohort and the control arm of the ALFA-0701 study was the predominant use of idarubicin (36 mg/m2) in the NBCR cohort, compared to daunorubicin (180 mg/m2) in the ALFA-0701 study. The potential impact of idarubicin in enhancing induction response rates compared to daunorubicin is supported by a prior study from France in older patients with AML that demonstrated the association between idarubicin-based induction and a higher complete remission rate, without significant improvement in overall survival [35].

For secondary/therapy-related AML, patients in the ALLG NBCR appeared to have better outcomes than patients enrolled in the control 7 + 3 arm of the CPX-351 study (Table 4). This included higher rates of CR/CRi (53% vs 33%), as well as longer median OS (9.46 versus 5.95 months). Potential factors confounding interpretation of outcomes in the NBCR cohort include more frequent use of higher-dose cytarabine consolidation and fewer patients ≥70 years in the ALLG NBCR cohort, compared to the control arm of the CPX-351 registrational study. These important differences could partly explain the better-than-expected outcomes for patients in the ALLG NBCR relative to the CPX-351 study. Although landmarked OS outcome post-HCT was similar between the NBCR cohort and the control arm of the CPX-351 study, only 6 patients with secondary/therapy-related AML were transplanted in the NBCR cohort. Therefore, survival outcome in this sub-group should be interpreted with caution.

In the comparison of ALLG NBCR outcomes with patients in the QUAZAR oral azacitidine study, the ALLG NBCR cohort was significantly younger, reflecting a bias in the ALLG NBCR population and perhaps explaining the relatively better-than-expected outcomes for patients in the NBCR cohort, even when prior HCT was excluded (Table 5).

Elderly patients unfit for intensive chemotherapy are underrepresented in the ALLG NBCR. For the first 5 years of the registry, there was preferential enrolment of patients under the age of 65 at tertiary and metropolitan centers which was in keeping with the procedure to enroll to the NBCR for clinical trial inclusion. Therefore, the median age of patients enrolled to the ALLG NBCR was significantly younger (median age 58 years) than those reported by the Australian Institute of Health and Welfare (AIHW, median age 68.5 years) [36]. Before December 2021, azacitidine was the sole approved low-intensity treatment option in Australia, reimbursed for individuals with 20–30% bone marrow blasts. The approval of venetoclax-azacitidine from December 2021 is expected to enhance the inclusion of older patients with AML in the ALLG NBCR.

Overall, although the majority of cohorts in the ALLG NBCR showed similarities to the concordant control arm of randomized studies, important differences in patient demographics, standard therapy and transplantation frequency were noted. Although there is a strong desire to support the concept of using single arm study outcomes compared to synthetic historical control populations to support drug approvals, the complexity and importance of matching study populations to counteract baseline and treatment biases with potential impact on outcome remains an important consideration and a potential hurdle to utilization of real-world data for comparative studies with new agents.

One limitation of the current study was the limited population coverage, compared to legislated cancer registries. The proportion of patients with AML captured in the ALLG NBCR is approximately 30% of cases reported to the national body, the AIHW [36]. The interpretation of outcomes from our registry cohort should be contextualized within a developed country setting, benefiting from free healthcare access and robust supportive care, including intensive care facilities. As a nation, emphasis to data linkages is evolving, and in the future challenges of data collection, completeness and analysis are hoped to be overcome with greater awareness and support to national infrastructure like the ALLG’s NBCR.

When national regulators assess the potential health economic benefits associated with new anti-cancer therapies, the availability of relevant real-world data is often lacking. It this hoped that this analysis of patient outcomes in the ALLG NBCR prior to the introduction of novel therapies highlights the diversity of clinical practice differences in routine clinical care. Such differences are likely to become larger and even more complex after introduction of recently approved drugs for frontline use in AML, such as midostaurin, CPX-351, GO, venetoclax, oral azacitidine and ivosidenib. In conclusion, this study highlights the growing complexity reimbursement agencies will face when trying to evaluate the comparative benefit a new drug for patients with AML using “real-world” data. This situation will be exacerbated further by the many inherent variables that already exist in standard of care practice globally. This report serves to highlight some of these differences in the context of Australian clinical practice prior to incorporation of new drug indications into routine clinical practice that commenced in 2018. Although there is growing desire to use historical datasets to assess the impact of novel therapies, this work underscores the large variations in standard of care practice that likely exist and the need to compile data from multiple historical datasets to ensure that geographic differences in treatment outcomes are accounted for.

Supplementary information

Supplemental Material (92.7KB, docx)

Acknowledgements

Participating sites for the Australasian Leukaemia & Lymphoma Group (ALLG) National Blood Cancer Registry (NBCR) – Alfred Hospital: Shaun Fleming; Auckland City Hospital (NZ): Peter Browett; Austin Hospital: Chun Yew Fong; Barwon Health: Georgina Hodges; Blacktown Hospital: Helen Crowther; Border Medical Oncology: Richard Eek; Box Hill Hospital: Anthony Schwarer; Calvary Mater Newcastle: Anoop Enjeti; Canberra Hospital: Maya Latimer; Christchurch Hospital (NZ): Wei-Hsun Hsu; Concord Hospital: Emma Verner; Flinders Medical Centre: Ashanka Beligaswatte; Fiona Stanley Hospital: Duncan Purtill; Gold Coast University Hospital: Rachel Wooldridge; Gosford Hospital: Campbell Tiley; Integrated Clinical Oncology Network Pty Ltd (ICON): Joseph Clarey; Launceston Hospital: Jessica Heenan; Liverpool Hospital: Anne-Marie Watson; Monash Medical Centre: Jake Shortt; Nepean Hospital: John Taper; Northern Hospital: Chong Chyn Chua; North Shore Hospital (NZ): Eileen Merriman; Orange Health Service: Douglas Lenton; Peter MacCallum Cancer Centre: Andrew Roberts; Prince of Wales Hospital: Mark Hertzberg; Princess Alexandra Hospital: Paula Marlton; Queen Elizabeth Hospital: Uwe Hahn; Rockhampton Hospital: Mohamed Shanavas; Royal Adelaide Hospital: David Yeung; Royal Brisbane and Women’s Hospital: Glen Kennedy; Royal Darwin Hospital: Tina Noutsos; Royal Hobart Hospital: Nicholas Murphy; Royal Melbourne Hospital: Andrew Roberts; Royal North Shore Hospital: William Stevenson; Royal Perth Hospital: Peter Tan; Royal Prince Alfred Hospital: Stephen Larsen; Sir Charles Gairdner Hospital: Gavin Cull; Sunshine Coast University Hospital: Helen Weston; St George Hospital: Sundra Ramanathan; St Vincent’s Hospital Melbourne: Robin Filshie; St Vincent’s Hospital Sydney: John Moore; The Tweed Hospital: Alejandro Arbelaez; Toowoomba Hospital: Howard Mutsando; Townsville Hospital: Edward Morris; Waikato Hospital (NZ): Niranjan Rathod; Wellington Regional Hospital (NZ): Travis Perera; Westmead Hospital: Amanda Johnston; Wollongong Hospital: Pauline Warburton.

Author contributions

IST and AHW designed the study and wrote the initial manuscript. IST, MW, AB, and AK analyzed the data. All authors contributed to data acquisition, data interpretation, reviewed, and approved the final version of the manuscript.

Data availability

Data will be made available upon reasonable request. Data requestors will need to sign a data access request and submit a proposal to Prof Andrew Wei to be reviewed and approved by the Australasian Leukaemia and Lymphoma Group (ALLG) Registry Operation Committee.

Competing interests

AB: Advisory role with honoraria for AbbVie, Amgen, Astellas, Pfizer, Novartis, Jazz, Takeda, Gilead-Kite, SentiBio; speaker fees from BMS, Amgen. AWR: Clinical research funding to Institution from AbbVie and Amgen. Inventor on a patent related to venetoclax, and receives a fraction of royalty payments to the Walter and Eliza Hall Institute of Medical Research related to venetoclax. CC: Advisory role with honoraria for AbbVie, Pfizer, Sumitomo Pharma. PM: Advisory Board and/or speaker for AbbVie, AstraZeneca, Astellas, Beigene, Gilead, Janssen, Minarine, MSD, Novartis, Otsuka, Pfizer, Roche. CYF: has received honoraria from AbbVie, Amgen, Beigene, Bristol-Myers Squibb, Jazz, Novartis, Pfizer and Servier; has acted as a consultant/advisor for AbbVie, Amgen, Astellas Pharma, Bristol-Myers Squibb, Jazz, Novartis, Pfizer and Servier; and has received research funding from Amgen, Astellas and Jazz. DP: Honoraria from Bristol Meyers Squibb, Jazz Pharmaceuticals, Link, Bastion Education, Gilead. All honoraria paid to institution only. MH: Advisory role with honoraria for Gilead, Roche, Otsuka, Takeda, Janssen, Beigene. JS: Advisory role with honoraria for Astellas, BMS, Mundipharma, Novartis, Otsuka, Pfizer; research funding to institution from Amgen, Astex, BMS; speakers fees from Mundipharma, Novartis. AW: Advisory role with honoraria for AbbVie, Agios, Amgen, Astellas, AstraZeneca, Roche, BMS, Celgene, Gilead, Pfizer, Janssen, Jazz, Novartis, Servier; clinical research funding to Institution from AbbVie, Servier, Celgene-BMS, Astra Zeneca, Amgen, Novartis; receives a fraction of royalty payments to the Walter and Eliza Hall Institute of Medical Research related to venetoclax.

Footnotes

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A list of authors and their affiliations appears at the end of the paper.

Supplementary information

The online version contains supplementary material available at 10.1038/s41408-024-00996-x.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplemental Material (92.7KB, docx)

Data Availability Statement

Data will be made available upon reasonable request. Data requestors will need to sign a data access request and submit a proposal to Prof Andrew Wei to be reviewed and approved by the Australasian Leukaemia and Lymphoma Group (ALLG) Registry Operation Committee.


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