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Mutations of epigenetic modifier genes predict poor outcome in adult acute lymphoblastic leukemia

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Abstract

Epigenetic modifier (EM) genes play important roles in the occurrence and progression of acute lymphoblastic leukemia (ALL). However, the prognostic significance of EM mutations in ALL has not yet been thoroughly investigated. This retrospective study included 205 adult patients with ALL engaged in a pediatric-type regimen. Based on targeted next-generation sequencing, they were divided into EM mutation group (EM-mut, n = 75) and EM wild-type group (EM-wt, n = 130). The EM-mut group showed a higher positive rate of minimal residual disease (MRD) on treatment day24 and before consolidation therapy (P = 0.026, 0.020). Multivariate Cox regression analysis showed that EM-mut was an independent adverse factor for overall survival (OS) and event-free survival (EFS) (HR = 2.123, 1.742; P = 0.009, 0.007). Survival analysis revealed that the OS and EFS rates were significantly lower in the EM-mut group than in the EM-wt group (3-year OS rate, 45.8% vs. 65.0%, P = 0.0041; 3-year EFS rate, 36.7% vs. 53.2%, P = 0.011). In conclusion, EM was frequently mutated in adult ALL and was characterized by poor response to induction therapy and inferior clinical outcomes.

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Data availability

The data generated during and analyzed in the study are available from the corresponding author on reasonable request.

References

  1. Malard F, Mohty M (2020) Acute lymphoblastic leukaemia. Lancet 395(10230):1146–1162

    Article  CAS  PubMed  Google Scholar 

  2. Stengel A, Schnittger S, Weissmann S et al (2014) TP53 mutations occur in 15.7% of ALL and are associated with MYC-rearrangement, low hypodiploidy, and a poor prognosis. Blood 124(2):251–258

    Article  CAS  PubMed  Google Scholar 

  3. DeAngelo DJ, Stevenson KE, Dahlberg SE et al (2015) Long-term outcome of a pediatric-inspired regimen used for adults aged 18–50 years with newly diagnosed acute lymphoblastic leukemia. Leukemia 29(3):526–534

    Article  CAS  PubMed  Google Scholar 

  4. Testi AM, Canichella M, Vitale A et al (2021) Adolescent and young adult acute lymphoblastic leukemia. Final results of the phase II pediatric-like GIMEMA LAL-1308 trial. Am J Hematol 96(3):292–301

    Article  PubMed  Google Scholar 

  5. Coccaro N, Anelli L, Zagaria A et al (2019) Next-generation sequencing in Acute Lymphoblastic Leukemia. Int J Mol Sci. ;20(12)

  6. Li J, Dai Y, Wu L et al (2021) Emerging molecular subtypes and therapeutic targets in B-cell precursor acute lymphoblastic leukemia. Front Med 15(3):347–371

    Article  CAS  PubMed  Google Scholar 

  7. Forero-Castro M, Robledo C, Benito R et al (2016) Genome-wide DNA Copy Number Analysis of Acute Lymphoblastic Leukemia Identifies New Genetic Markers Associated with Clinical Outcome. PLoS ONE 11(2):e0148972

    Article  PubMed  PubMed Central  Google Scholar 

  8. Forero-Castro M, Robledo C, Lumbreras E et al (2016) The presence of genomic imbalances is associated with poor outcome in patients with burkitt lymphoma treated with dose-intensive chemotherapy including rituximab. Br J Haematol 172(3):428–438

    Article  CAS  PubMed  Google Scholar 

  9. Roberts KG, Mullighan CG (2015) Genomics in acute lymphoblastic leukaemia: insights and treatment implications. Nat Rev Clin Oncol 12(6):344–357

    Article  CAS  PubMed  Google Scholar 

  10. Chiaretti S, Gianfelici V, Ceglie G et al (2014) Genomic characterization of acute leukemias. Med Princ Pract 23(6):487–506

    Article  PubMed  PubMed Central  Google Scholar 

  11. Chiaretti S, Zini G, Bassan R (2014) Diagnosis and subclassification of acute lymphoblastic leukemia. Mediterr J Hematol Infect Dis 6(1):e2014073

    Article  PubMed  PubMed Central  Google Scholar 

  12. Forero-Castro M, Robledo C, Benito R et al (2017) Mutations in TP53 and JAK2 are independent prognostic biomarkers in B-cell precursor acute lymphoblastic leukaemia. Br J Cancer 117(2):256–265

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Chen T, Wei N, Lv W et al (2023) Analysis of RAS gene mutations in adverse events during first induction chemotherapy in childhood acute lymphoblastic leukemia. Transl Pediatr 12(1):56–67

    Article  PubMed  PubMed Central  Google Scholar 

  14. Maćkowska N, Drobna-Śledzińska M, Witt M et al (2021) DNA methylation in T-Cell Acute Lymphoblastic Leukemia: in search for Clinical and Biological meaning. Int J Mol Sci. ;22(3)

  15. Garcia-Manero G, Yang H, Kuang S-Q et al (2009) Epigenetics of acute lymphocytic leukemia. Semin Hematol 46(1):24–32

    Article  CAS  PubMed  Google Scholar 

  16. Liu X-L, Liu H-Q, Li J et al (2020) Role of epigenetic in leukemia: from mechanism to therapy. Chem Biol Interact 317:108963

    Article  CAS  PubMed  Google Scholar 

  17. Wouters BJ, Delwel R (2016) Epigenetics and approaches to targeted epigenetic therapy in acute myeloid leukemia. Blood 127(1):42–52

    Article  CAS  PubMed  Google Scholar 

  18. Lafave LM, Levine RL (2013) Mining the epigenetic landscape in ALL. Nat Genet 45(11):1269–1270

    Article  CAS  PubMed  Google Scholar 

  19. Peirs S, Van der Meulen J, Van de Walle I et al (2015) Epigenetics in T-cell acute lymphoblastic leukemia. Immunol Rev 263(1):50–67

    Article  CAS  PubMed  Google Scholar 

  20. Liu Y-F, Wang B-Y, Zhang W-N et al (2016) Genomic profiling of Adult and Pediatric B-cell Acute Lymphoblastic Leukemia. EBioMedicine 8:173–183

    Article  PubMed  PubMed Central  Google Scholar 

  21. Adnan Awad S, Brück O, Shanmuganathan N et al (2022) Epigenetic modifier gene mutations in chronic myeloid leukemia (CML) at diagnosis are associated with risk of relapse upon treatment discontinuation. Blood Cancer J 12(4):69

    Article  PubMed  PubMed Central  Google Scholar 

  22. Shen Y, Fu Y-K, Zhu Y-M et al (2015) Mutations of epigenetic modifier genes as a poor prognostic factor in Acute Promyelocytic Leukemia under Treatment with All-Trans Retinoic Acid and Arsenic Trioxide. EBioMedicine 2(6):563–571

    Article  PubMed  PubMed Central  Google Scholar 

  23. Bernt KM, Hunger SP, Neff T (2016) The functional role of PRC2 in early T-cell precursor Acute Lymphoblastic Leukemia (ETP-ALL) - mechanisms and opportunities. Front Pediatr 4:49

    Article  PubMed  PubMed Central  Google Scholar 

  24. Schäfer V, Ernst J, Rinke J et al (2016) EZH2 mutations and promoter hypermethylation in childhood acute lymphoblastic leukemia. J Cancer Res Clin Oncol 142(7):1641–1650

    Article  PubMed  Google Scholar 

  25. Van Vlierberghe P, Palomero T, Khiabanian H et al (2010) PHF6 mutations in T-cell acute lymphoblastic leukemia. Nat Genet 42(4):338–342

    Article  PubMed  PubMed Central  Google Scholar 

  26. Huang K, Dai M, Li Q et al (2020) Early T-Cell Precursor Leukemia has a higher risk of induction-related infection among T-Cell Acute Lymphoblastic Leukemia in Adult. Mediators Inflamm 2020:8867760

    Article  PubMed  PubMed Central  Google Scholar 

  27. Simons A, Shaffer LG, Hastings RJ (2013) Cytogenetic nomenclature: changes in the ISCN 2013 compared to the 2009 Edition. Cytogenet Genome Res 141(1):1–6

    Article  CAS  PubMed  Google Scholar 

  28. Kalina T, Flores-Montero J, van der Velden VHJ et al (2012) EuroFlow standardization of flow cytometer instrument settings and immunophenotyping protocols. Leukemia 26(9):1986–2010

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Chen C, Zhou L, Zhu L et al (2022) TNFAIP3 mutation is an independent poor overall survival factor for patients with T-cell acute lymphoblastic leukemia. Cancer Med

  30. Janic D, Peric J, Karan-Djurasevic T et al (2020) Application of targeted next generation sequencing for the mutational profiling of patients with acute lymphoblastic leukemia. J Med Biochem 39(1):72–82

    CAS  PubMed  PubMed Central  Google Scholar 

  31. Park K-J, Kim I-S, Yang EJ et al (2020) Mutation analysis in Korean patients with T-cell acute lymphoblastic leukemia. Pediatr Hematol Oncol 37(2):129–139

    Article  CAS  PubMed  Google Scholar 

  32. Pulte D, Jansen L, Gondos A et al (2014) Survival of adults with acute lymphoblastic leukemia in Germany and the United States. PLoS ONE 9(1):e85554

    Article  ADS  PubMed  PubMed Central  Google Scholar 

  33. Comet I, Riising EM, Leblanc B et al (2016) Maintaining cell identity: PRC2-mediated regulation of transcription and cancer. Nat Rev Cancer 16(12):803–810

    Article  CAS  PubMed  Google Scholar 

  34. Mittal P, Roberts CWM (2020) The SWI/SNF complex in cancer - biology, biomarkers and therapy. Nat Rev Clin Oncol 17(7):435–448

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Wang X, Lee RS, Alver BH et al (2017) SMARCB1-mediated SWI/SNF complex function is essential for enhancer regulation. Nat Genet 49(2):289–295

    Article  CAS  PubMed  Google Scholar 

  36. Meyer SN, Scuoppo C, Vlasevska S et al (2019) Unique and Shared Epigenetic Programs of the CREBBP and EP300 acetyltransferases in Germinal Center B cells reveal targetable dependencies in Lymphoma. Immunity. ;51(3)

  37. Feng J, Li Y, Jia Y et al (2017) Spectrum of somatic mutations detected by targeted next-generation sequencing and their prognostic significance in adult patients with acute lymphoblastic leukemia. J Hematol Oncol 10(1):61

    Article  PubMed  PubMed Central  Google Scholar 

  38. Huether R, Dong L, Chen X et al (2014) The landscape of somatic mutations in epigenetic regulators across 1,000 paediatric cancer genomes. Nat Commun 5:3630

    Article  ADS  PubMed  Google Scholar 

  39. Hou H-A, Tien H-F (2016) Mutations in epigenetic modifiers in acute myeloid leukemia and their clinical utility. Expert Rev Hematol 9(5):447–469

    Article  CAS  PubMed  Google Scholar 

  40. Valerio DG, Katsman-Kuipers JE, Jansen JH et al (2014) Mapping epigenetic regulator gene mutations in cytogenetically normal pediatric acute myeloid leukemia. Haematologica 99(8):e130–e132

    Article  PubMed  PubMed Central  Google Scholar 

  41. Jasielec J, Saloura V, Godley LA (2014) The mechanistic role of DNA methylation in myeloid leukemogenesis. Leukemia 28(9):1765–1773

    Article  CAS  PubMed  Google Scholar 

  42. Shen Y, Zhu Y-M, Fan X et al (2011) Gene mutation patterns and their prognostic impact in a cohort of 1185 patients with acute myeloid leukemia. Blood 118(20):5593–5603

    Article  CAS  PubMed  Google Scholar 

  43. Schär P, Fritsch O (2011) DNA repair and the control of DNA methylation. Prog Drug Res 67:51–68

    PubMed  Google Scholar 

  44. Jain N, Rossi A, Garcia-Manero G (2009) Epigenetic therapy of leukemia: an update. Int J Biochem Cell Biol 41(1):72–80

    Article  CAS  PubMed  Google Scholar 

  45. Shi Y, Jia B, Xu W et al (2017) Chidamide in relapsed or refractory peripheral T cell lymphoma: a multicenter real-world study in China. J Hematol Oncol 10(1):69

    Article  PubMed  PubMed Central  Google Scholar 

  46. Sun W, Triche T, Malvar J et al (2018) A phase 1 study of azacitidine combined with chemotherapy in childhood leukemia: a report from the TACL consortium. Blood 131(10):1145–1148

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  47. Lu BY, Thanawala SU, Zochowski KC et al (2016) Decitabine enhances chemosensitivity of early T-cell precursor-acute lymphoblastic leukemia cell lines and patient-derived samples. Leuk Lymphoma 57(8):1938–1941

    Article  PubMed  Google Scholar 

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Acknowledgements

We thank the clinical data managers of Southern Hospital, Southern Medical University for their contribution to this project.Author contributions: OJW and ZHS contributed to the concept and design of this research. OJW, DSY and DCH brewed and collected data. CZH, CJJ, TBQ, WZW and HZC performed the statistical analyses and XXL, LJ collected and analyzed the data of other independent cohort. ZT and WZX commented critically on an advanced manuscript version regarding the interpretation of the results and the discussion. XL, and LQF offered material support and revised the paper. LQF and ZHS accessed the funding of research. OJW drafted the manuscript. All authors read and approved the final version of the manuscript. OJW and DSY are co-first authors. The data that support the findings of this study are available from the corresponding author upon request.

Funding

This study was supported by the National Natural Science Foundation of China (NSFC, 82170163, 81970147, to HSZ), the National Key Research and Development Program of China (2022YFC2502605, to LX).

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Contributions

OJW and ZHS contributed to the concept and design of this research. OJW, DSY and DCH brewed and collected data. CZH, CJJ, TBQ, WZW and HZC performed the statistical analyses and XXL, LJ collected and analyzed the data of other independent cohort. ZT and WZX commented critically on an advanced manuscript version regarding the interpretation of the results and the discussion. XL, and LQF offered material support and revised the paper. LQF and ZHS accessed the funding of research. OJW drafted the manuscript. All authors read and approved the final version of the manuscript. OJW and DSY are co-first authors. The data that support the findings of this study are available from the corresponding author upon request.

Corresponding author

Correspondence to Hongsheng Zhou.

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All procedures performed in this study involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the Helsinki declaration and its later amendments or comparable ethical standards.

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This study was approved by the Ethics Committee of Southern Hospital, Southern Medical University and informed consent was obtained from all participants.

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The authors declare no competing interests.

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Ou, J., Deng, S., Ding, C. et al. Mutations of epigenetic modifier genes predict poor outcome in adult acute lymphoblastic leukemia. Ann Hematol (2024). https://doi.org/10.1007/s00277-024-05681-4

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