Skip to main content
Blood Cancer Journal logoLink to Blood Cancer Journal
letter
. 2023 Nov 27;13(1):173. doi: 10.1038/s41408-023-00948-x

Venetoclax plus hypomethylating agents in newly diagnosed acute myeloid leukemia patients with RUNX1::RUNX1T1: a retrospective propensity score matching study

Miao Wang 1,2,#, Han-Yu Cao 1,2,#, Kai-Wen Tan 1,2,#, Qiao-Cheng Qiu 1,2, Yuan-Hong Huang 1,2, Shuai-shuai Ge 1,2, Zi-Hao Wang 1,2, Jia Chen 1,2, Xiao-Wen Tang 1,2, De-Pei Wu 1,2, Sheng-Li Xue 1,2,, Zheng Li 1,2,, Hai-Ping Dai 1,2,
PMCID: PMC10682468  PMID: 38012154

To the Editor:

T(8;21)(q22;q22.1)/RUNX1::RUNX1T1 is found in 5–10% of all AML cases and responds well to conventional chemotherapy [1]. The complete remission (CR) rate of RUNX1::RUNX1T1 positive AML with standard 7 + 3 regimen is 78–88%, with a 5-year survival rate of 95% when treated with gemtuzumab ozogamicin in combination with high-dose cytarabine based induction and consolidation chemotherapy [24]. AML with RUNX1::RUNX1T1 is classified as a favorable risk group in the guidelines [5].

Venetoclax (VEN) is a highly selective inhibitor of the anti-apoptotic protein BCL-2, acting by mimicking the BCL-2 homology domain 3. VEN in combination with azacitidine showed a composite complete remission (CRc) rate of 66.4% in untreated AML patients who were ineligible for intensive chemotherapy [6]. A phase 2 trial in our institute demonstrated a CRc rate of 78.3% for VEN plus decitabine in newly diagnosed young AML patients with adverse risk [7]. Because patients with RUNX1::RUNX1T1 are sensitive to standard induction regimen with 7 + 3±gemtuzumab ozogamicin, most venetoclax-based clinical trials excluded RUNX1::RUNX1T1 patients. For example, no patients with RUXN1::RUNX1T1 were enrolled in the VIALE-A study [6]. Only 3 patients with favorable risk were enrolled in the VIALE-C study, but the cytogenetics were not described [8]. Therefore, there is a lack of data on the efficacy of VEN plus hypomethylating agent (VEN + HMA) in AML patients with RUNX1::RUNX1T1. Recently, a number of patients with RUNX1::RUNX1T1 positive AML who were unfit for intensive chemotherapy received VEN + HMA induction treatment at our institute. Here, we retrospectively compared the efficacy of VEN + HMA with standard 7 + 3 in newly diagnosed RUNX1::RUNX1T1 positive AML patients, using a propensity score-matched analysis.

We collected data of 123 de novo AML patients with RUNX1::RUNX1T1, who received at least one course of induction therapy at the First Affiliated Hospital of Soochow University between April 2015 and February 2023. Twenty-one patients received induction with VEN + HMA, who were from clinical trial NCT04087967 and a real-world study (No.2022219). In total, 102 patients received induction with standard 7 + 3, including 87 adult patients from the NCT02323022 and NCT04087967 clinical trials, and 15 adolescents were included to match an unfit adolescent treated with VEN + HMA. Age, ECOG performance status, white blood cell count, bone marrow blasts, and KIT mutation status at diagnosis were selected for propensity score matching. Propensity scores were matched in a 1:2 ratio using the nearest-neighbor algorithm in the VEN + HMA versus standard 7 + 3 cohort. A standardized mean difference (SMD) threshold of less than 0.1 is considered to reduce bias between the two cohorts. After matching, 18 of 21 patients in the VEN + HMA cohort and 34 of 99 patients (3 were excluded because of missing data) in the 7 + 3 cohort were paired (Fig. 1a), with the SMD of 0.02 (Supplementary Fig. 1). There was no difference in the baseline and genetic characteristics between the matched cohorts (Table 1). The study was performed with approval from our institutional review committee (No. 2023248). All patients provided written informed consent.

Fig. 1. Study design, response outcomes, survival analysis, and mutational landscape of the unmatched VEN+HMA cohort.

Fig. 1

a Flow chart of inclusion of patients for propensity score matching analysis. b Treatment response of matched patients to the first course of induction treatment with VEN + HMA or standard 7 + 3. c Relapse-free survival in the matched cohorts. d Overall survival in the matched cohorts. e Mutational landscape of the unmatched 21 patients treated with VEN + HMA. Oncoprint shows mutational characteristics at diagnosis. Patients are grouped by best response after 1–2 induction cycles and are labeled with colored bars on the right. The filled bars on the right show the percentage of patients achieving CRc in the presence of each gene mutation. The asterisk indicates genes with a P < 0.05 percentage of CRc.

Table 1.

Baseline characteristics of patients in matched cohorts.

Variables VEN + HMA
(N = 18)
7 + 3
(N = 34)
P value
Age, years, median (range) 39.5 (17–69) 41.5 (16–59) 0.46
Male sex, n (%) 12 (66.7) 18 (52.9) 0.34
ECOG performance status, n (%) 0.73
0–1 13 (72.2) 23 (67.6)
≥2 5 (27.8) 11 (32.4)
WBC at diagnosis, ×109/L, n (%) 0.54
> 10 9 (50.0) 14 (41.2)
≤ 10 9 (50.0) 20 (58.8)
Platelet at diagnosis, ×109/L, n (%) 0.39
> 20 10 (55.6) 23 (67.6)
≤ 20 8 (44.4) 11 (3.7)
Bone marrow blasts (%), median (range) 57.3 (35.0–72.8) 52.0 (32.2–73.0) 0.72
Karyotype, n (%)
Sole t (8;21) 6 (33.3) 12 (35.3) 0.75
t (8;21) with ACA 11 (61.1) 18 (52.9)
 Loss of X/Y 8 (72.7) 12 (66.7) 0.64
 del(9q) 1 (9.1) 4 (22.2)
 Complex karyotypea 1 (9.1) 4 (22.2)
 del(7q)/−7 0 1 (5.6)
 Trisomy 8 0 1 (5.6)
UK or failure 1 (5.6) 4 (11.8)
Co-mutation, n (%)
Signal genes 5 (27.8) 7 (20.6)
FLT3-ITD/TKD 3 (16.7) 4 (11.8)
JAK1/2/3 9 (50) 20 (58.8)
KIT 3 (16.7) 6 (17.6)
NRAS/KRAS 1 (5.6) 4 (11.8)
Chromatin modification genes 3 (16.7) 3 (8.8)
 ASXL1/2 1 (5.6) 1 (5.6)
EZH2 2 (11.1) 1 (5.6)
SETD2 1 (5.6) 0
CREBBP 2 (11.1) 2 (5.9)
DNA methylation genes
DNMT3A
TET2 5 (27.8) 4 (11.8)
Cohesin genes 0.17
RAD21 1 (5.6) 1 (2.9)
SMC1A/SMC3 3 (16.8) 1 (2.9)
Others
DHX15 2 (11.1) 1 (2.9)
DNM2 1 (11.1) 2 (5.9)
TP53 0 0
ZBTB7A 1 (5.6) 2 (5.9)
Immunophenotype, n/N (%)
CD19 expression 14/18 (77.8) 24/34 (70.6) 0.58
CD56 expression 11/18 (61.1) 15/22 (68.2) 0.64
Extramedullary disease, n (%) 0.23
Yes 2 (11.1) 1 (2.9)
No 16 (88.9) 33 (97.1)
Allo-HSCT 0.89
Yes 6 (44.4) 12 (35.3)
No 12 (66.6) 22 (64.7)

aA complex karyotype was defined as the presence t(8;21) and 2 or more other abnormalities.

Abbreviations: ACA additional cytogenetic abnormalities, Allo-HSCT allogeneic hematopoietic stem cell transplantation, ECOG Eastern Co-operative Oncology Group, UK unknown.

RUNX1::RUNX1T1 was detected and quantified with real-time quantitative RT-PCR (qPCR), with a positive threshold defined as ≥2%. Multiparameter flow cytometry (MFC) was performed to detect measurable residual disease (MRD), with a positive threshold of 0.1% [5]. CRc is defined as CR plus CR with incomplete blood count recovery (CRi). Overall response rate (ORR) is defined as CRc plus morphologic leukemia-free state. Overall survival (OS) is defined as the time from diagnosis to death of any cause or censored at the last follow-up. Relapse-free survival (RFS) is defined as the time from the achievement of CRc to the time of relapse or death from any cause, whichever occurs first. For exploratory analysis, the chromatin-modifying genes ASXL1/2, BCOR, EZH2, SETD2, and cohesin complex-related genes RAD21, SMC1A, SMC3, and STAG2 were defined as a set of genes named chromatin-cohesin gene in this study.

Patients in the VEN + HMA cohort received azacytidine (AZA, 75 mg/m2, on days 1–7) or decitabine (20 mg/m2, on days 1–5), in combination with VEN began at 100 mg on day 1 and increased stepwise over 3 days to reach the target dose of 400 mg on days 3–28. Dose adjustments for concomitant VEN with CYP3A4 inhibitors were made according to the VIALE-A study [6]. Patients who achieved CRc received at least 2 cycles of consolidation therapy with high-dose cytarabine or VEN + HMA (for older or unfit patients). Patients in partial remission (PR) or no response (NR) were treated with re-induction regimens at physicians’ discretion.

In unmatched patients, after one course of induction treatment, the ORR of the VEN + HMA cohort was significantly lower than that of the standard 7 + 3 cohort (38.1% vs. 74.5%, P = 0.001). The CRC rate in the VEN + HMA cohort was also significantly lower than that of the standard 7 + 3 cohorts (33.3% vs. 73.5%, P < 0.001) (Supplementary Fig. 2).

In matched patients, the ORR and CRc rate after the first course of induction treatment remained significantly lower in the VEN + HMA cohort compared to the standard 7 + 3 cohorts (27.8% vs. 64.7%, P = 0.01 for ORR, and 27.8 % vs. 61.8%, P = 0.02 for CRc rate) (Fig. 1b, (Supplementary Table 1). In the matched VEN + HMA cohort, 13 patients failed the first cycle of induction. Of whom, 4 patients received a second cycle of VEN + HMA. However, only one patient achieved CRi, and 3 patients still had no response. Two patients switched to standard 7 + 3 and both achieved CR. In the matched 7 + 3 cohort, 12 patients failed the first induction treatment. Two of whom received a second cycle of standard 7 + 3, one achieved CR and one had PR. None of them switched to the VEN + HMA regimen.

We further compared the remission depth in responders (who attained CRc after 1–2 cycles of induction) of each cohort at the time of completion of induction and the second consolidation. Six of the 18 patients in the VEN + HMA cohort achieved CR/CRi, and 5/6 had qPCR MRD data. Twenty-two of the 34 patients in the 7 + 3 cohort achieved CR/CRi, and 18/22 had qPCR MRD data. There was no difference in the MFC MRD-negative rate (60% vs. 66.7%, P = 1.00) (Supplementary Table 1) or the qPCR MRD-negative CR rate (100% vs. 83.3%, P = 1.00) in the VEN + HMA compared with standard 7 + 3 cohort, respectively (Supplementary Table 2).

At a median follow-up of 14.8 months for patients in the VEN + HMA cohort and 28.6 months for patients in the standard 7 + 3 cohort, median OS was not achieved in either cohort. There was no difference in the 2-year RFS (58.5% vs. 62.2%, P = 0.96) and 2-year OS (78.2% vs. 83.5%, P = 0.41) between the two cohorts (Fig. 1c, d). Six patients in the matched VEN + HMA cohort underwent allo-HSCT. When patients were censored at allo-HSCT, the 2-year RFS and 2-year OS also did not differ between the cohorts (42.9% vs. 51.9%, P = 0.93 for RFS, 78.2% vs. 83.5%, P = 0.51 for OS) (Supplementary Fig. 3a, b). Subgroup analyses of the VEN + HMA cohort showed no difference in 2-year RFS (not reached, P = 0.85) and 2-year OS (not reached, P = 0.26) between responders and non-responders (Supplementary Fig. 3c, d).

To investigate the factors influencing the sensitivity of AML patients with RUNX1::RUNX1T1 to VEN + HMA, we analyzed data from the 21 unmatched patients treated with VEN + HMA. Genetic profiles of responders and non-responders were depicted in Fig. 1e. Nine of 21 (42.9%) patients who achieved CR/CRi within 2 cycles of the VEN + HMA regimen were categorized as responders (7 and 2 patients responded after cycle 1 and cycle 2, respectively), whereas the other 12 patients were categorized as non-responders. There were no differences in clinical characteristics between responders and non-responders. However, chromatin-cohesin gene mutations, including ASXL1/2, BCOR, EZH2, STAG2, RAD21, SMC1A, SMC3, KMT2A, SETD2, were more frequently detected in responders (6/9, 66.7%) compared to the non-responders (2/12, 16.7%) (P = 0.03) (Supplementary Table 3). These data suggest that responders of AML patients with RUNX1::RUNX1T1 in the VEN + HMA cohort were significantly enriched for mutations relating to chromatin-cohesin genes. This finding is consistent with a recent report that mutations in chromatin-cohesin genes predicted a better response to VEN-based therapies [9].

In 4 retrospective studies from China, data showed only 3 of 9 (33.3%) newly diagnosed and none of 16 relapsed/refractory RUNX1::RUNX1T1 positive AML patients responded to VEN + AZA [912] (Supplementary Table 4). Our results are in line with these studies. According to the literature, we suggested that the mechanisms of a relative inferior response to VEN + HMA in RUNX1::RUNX1T1 positive AML include: 1. BCL-2 gene expression was low in patients with RUNX1::RUNX1T1 in a multicenter study [13], which resulted in the insensitivity of VEN in these patients. 2. BCL-XL expression is upregulated in RUNX1::RUNX1T1 positive cells, which plays an essential role in resistance to VEN [14] 3. Active signaling genes including KIT, FLT3-ITD, and NRAS/KRAS are frequently co-mutated with RUNX1::RUNX1T1, which were identified as predictors of inferior response to VEN + HMA in AML patients [9, 15].

In conclusion, our results showed that patients with RUNX1::RUNX1T1 positive AML responded suboptimally to VEN + HMA than to the standard 7 + 3 regimen after one course of induction treatment. Co-mutations in the chromatin-cohesin genes may facilitate the identification of RUNX1::RUNX1T1 positive AML patients who respond to VEN + HMA. This study provides clues for the selection of induction regimens for RUNX1::RUNX1T1 positive AML patients. Because of the limited sample size and the fact that many non-responders switched to other regimens after the first cycle of VEN + HMA, the results of this study warrant an investigation in a prospective randomized controlled study.

Supplementary information

SUPPLEMENTAL MATERIAL (536.9KB, pdf)

Acknowledgements

This work was supported by grants from the National Natural Science Foundation of China (81970138, 82270165), National Key R&D Program of China (2022YFC2502703), Jiangsu Province Natural Science Foundation of China (BK20221235), Translational Research Grant of NCRCH (2020ZKMB05), Jiangsu Province “333” Project, Social Development Project of the Science and Technology Department of Jiangsu (BE2021649). All the samples were from Jiangsu Biobank of Clinical Resources.

Author contributions

MW, HYC, KWT, ZHW, YHH, and SSG collected research data. MW, HYC, and KWT performed statistical analysis. QCQ performed next-generation sequencing. JC, XWT, and DPW provided grant support. MW and HPD wrote the paper. HPD, SLX, and ZL designed the research, analyzed data, and edited the paper.

Data availability

The data that support the findings of this study are available from the corresponding author upon reasonable request.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

These authors contributed equally: Miao Wang, Han-Yu Cao, Kai-Wen Tan.

Contributor Information

Sheng-Li Xue, Email: slxue@suda.edu.cn.

Zheng Li, Email: lzheng@suda.edu.cn.

Hai-Ping Dai, Email: daihaiping8@126.com.

Supplementary information

The online version contains supplementary material available at 10.1038/s41408-023-00948-x.

References

  • 1.Sanderson RN, Johnson PRE, Moorman AV, Roman E, Willett E, Taylor PR, et al. Population-based demographic study of karyotypes in 1709 patients with adult acute myeloid leukemia. Leukemia. 2006;20:444–50. doi: 10.1038/sj.leu.2404055. [DOI] [PubMed] [Google Scholar]
  • 2.Paschka P, Marcucci G, Ruppert AS, Mrózek K, Chen H, Kittles RA, et al. Adverse prognostic significance of KIT mutations in adult acute myeloid leukemia with inv(16) and t(8;21): a Cancer and Leukemia Group B Study. J Clin Oncol. 2006;24:3904–11. doi: 10.1200/JCO.2006.06.9500. [DOI] [PubMed] [Google Scholar]
  • 3.Wang B, Zhang J, Hua X, Li H, Wang Z, Yang B. Clinical heterogeneity under induction with different dosages of cytarabine in core binding factor acute myeloid leukaemia. Sci Rep. 2020;10:685. doi: 10.1038/s41598-020-57414-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Burnett AK, Russell NH, Hills RK, Hunter AE, Kjeldsen L, Yin J, et al. Optimization of chemotherapy for younger patients with acute myeloid leukemia: results of the medical research council AML15 trial. J Clin Oncol. 2013;31:3360–8. doi: 10.1200/JCO.2012.47.4874. [DOI] [PubMed] [Google Scholar]
  • 5.Döhner H, Wei AH, Appelbaum FR, Craddock C, DiNardo CD, Dombret H, et al. Diagnosis and management of AML in adults: 2022 recommendations from an international expert panel on behalf of the ELN. Blood. 2022;140:1345–77. doi: 10.1182/blood.2022016867. [DOI] [PubMed] [Google Scholar]
  • 6.DiNardo CD, Jonas BA, Pullarkat V, Thirman MJ, Garcia JS, Wei AH, et al. Azacitidine and venetoclax in previously untreated acute myeloid leukemia. N Engl J Med. 2020;383:617–29. doi: 10.1056/NEJMoa2012971. [DOI] [PubMed] [Google Scholar]
  • 7.Xie J, Bao X, Xue SL, Shen H, Cen J, Yao L, et al. Venetoclax with decitabine as frontline treatment for younger adults with newly diagnosed ELN adverse-risk AML. Blood. 2023;142:1323–27. doi: 10.1182/blood.2023020102. [DOI] [PubMed] [Google Scholar]
  • 8.Wei AH, Montesinos P, Ivanov V, DiNardo CD, Novak J, Laribi K, et al. Venetoclax plus LDAC for newly diagnosed AML ineligible for intensive chemotherapy: a phase 3 randomized placebo-controlled trial. Blood. 2020;135:2137–45. doi: 10.1182/blood.2020004856. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Weng G, Zhang Y, Yu G, Luo T, Yu S, Xu N, et al. Genetic characteristics predict response to venetoclax plus hypomethylating agents in relapsed or refractory acute myeloid leukemia. J Intern Med. 2023;293:329–39. doi: 10.1111/joim.13581. [DOI] [PubMed] [Google Scholar]
  • 10.Mi RH, Chen L, Wang L, Ai H, Yin QS, Wei XD. Retrospective analysis of the efficacy and safety of Venetoclax-based regimen in the treatment of 12 cases of acute myeloid leukemia with t (8; 21) Zhonghua Xue Ye Xue Za Zhi. 2023;44:501–4. doi: 10.3760/cma.j.issn.0253-2727.2023.06.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Yu G, Yin Z, Jin H, Yu S, Li Y, Nie D, et al. Influence of molecular abnormalities on treatment response of venetoclax plus azacytidine and homoharringtonine versus venetoclax plus hypomethylating agent in relapsed/refractory acute myeloid leukemia. Blood. 2022;140:11796.. doi: 10.1182/blood-2022-168004. [DOI] [Google Scholar]
  • 12.Yu WJ, Jia JS, Wang J, Tang FF, Gong LZ, Liu XH, et al. Short-term efficacy of venetoclax combined with azacitidine in acute myeloid leukemia: a single-institution experience. Zhonghua Xue Ye Xue Za Zhi. 2022;43:134–40. doi: 10.3760/cma.j.issn.0253-2727.2022.02.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Cheng WY, Li JF, Zhu YM, Lin XJ, Wen LJ, Zhang F, et al. Transcriptome-based molecular subtypes and differentiation hierarchies improve the classification framework of acute myeloid leukemia. Proc Natl Acad Sci USA. 2022;119:e2211429119. doi: 10.1073/pnas.2211429119. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Banker DE, Radich J, Becker A, Kerkof K, Norwood T, Willman C, et al. The t(8;21) translocation is not consistently associated with high Bcl-2 expression in de novo acute myeloid leukemias of adults. Clin Cancer Res. 1998;4:3051–62. [PubMed] [Google Scholar]
  • 15.Cherry EM, Abbott D, Amaya M, McMahon C, Schwartz M, Rosser J, et al. Venetoclax and azacitidine compared with induction chemotherapy for newly diagnosed patients with acute myeloid leukemia. Blood Adv. 2021;5:5565–73. doi: 10.1182/bloodadvances.2021005538. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

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

Supplementary Materials

SUPPLEMENTAL MATERIAL (536.9KB, pdf)

Data Availability Statement

The data that support the findings of this study are available from the corresponding author upon reasonable request.


Articles from Blood Cancer Journal are provided here courtesy of Nature Publishing Group

RESOURCES