Skip to main content

Advertisement

Log in

A novel prognostic nomogram for adult acute lymphoblastic leukemia: a comprehensive analysis of 321 patients

  • Original Article
  • Published:
Annals of Hematology Aims and scope Submit manuscript

Abstract

The cure rate of acute lymphoblastic leukemia (ALL) in adolescents and adults remains poor. This study aimed to establish a prognostic model for ≥14-year-old patients with ALL to guide treatment decisions. We retrospectively analyzed the data of 321 ALL patients between January 2017 and June 2020. Patients were randomly (2:1 ratio) divided into either the training or validation set. A nomogram was used to construct a prognostic model. Multivariate Cox analysis of the training set showed that age > 50 years, white blood cell count > 28.52×109/L, and MLL rearrangement were independent risk factors for overall survival (OS), while platelet count >37×109/L was an independent protective factor. The nomogram was established according to these independent prognostic factors in the training set, where patients were grouped into two categories: low-risk (≤13.15) and high-risk (>13.15). The survival analysis, for either total patients or sub-group patients, showed that both OS and progression-free survival (PFS) of low-risk patients was significantly better than that of high-risk patients. Moreover, treatment analysis showed that both OS and progression-free survival (PFS) of ALL with stem cell transplantation (SCT) were significantly better than that of ALL without SCT. Further stratified analysis showed that in low-risk patients, the OS and PFS of patients with SCT were significantly better than those of patients without SCT. In contrast, in high-risk patients, compared with non-SCT patients, receiving SCT can only significantly prolong the PFS, but it does not benefit the OS. We established a simple and effective prognostic model for ≥ 14-year-old patients with ALL that can provide accurate risk stratification and determine the clinical strategy.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

Data availability

Yuan-Zhong Chen had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.

References

  1. Bassan R, Hoelzer D (2011) Modern therapy of acute lymphoblastic leukemia. J Clin Oncol 29(5):532–543

    Article  PubMed  Google Scholar 

  2. Ma H, Sun H, Sun X (2014) Survival improvement by decade of patients aged 0-14 years with acute lymphoblastic leukemia: a SEER analysis. Sci Rep 4:4227

    Article  CAS  PubMed Central  Google Scholar 

  3. Pulte D, Gondos A, Brenner H (2009) Improvement in survival in younger patients with acute lymphoblastic leukemia from the 1980s to the early 21st century. Blood 113(7):1408–1411

    Article  CAS  PubMed  Google Scholar 

  4. Kantarjian H, Thomas D, O’Brien S et al (2004) Long-term follow-up results of hyperfractionated cyclophosphamide, vincristine, doxorubicin, and dexamethasone (Hyper-CVAD), a dose-intensive regimen, in adult acute lymphocytic leukemia. Cancer 101(12):2788–2801

    Article  CAS  PubMed  Google Scholar 

  5. 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  PubMed  PubMed Central  Google Scholar 

  6. Sive JI, Buck G, Fielding A et al (2012) Outcomes in older adults with acute lymphoblastic leukaemia (ALL): results from the international MRC UKALL XII/ECOG2993 trial. Br J Haematol 157(4):463–471

    Article  PubMed  PubMed Central  Google Scholar 

  7. Geyer MB, Hsu M, Devlin SM et al (2017) Overall survival among older US adults with ALL remains low despite modest improvement since 1980: SEER analysis. Blood 129(13):1878–1881

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Pfeifer H, Wassmann B, Hofmann WK et al (2003) Risk and prognosis of central nervous system leukemia in patients with Philadelphia chromosome-positive acute leukemias treated with imatinib mesylate. Clin Cancer Res 9(13):4674–4681

    CAS  PubMed  Google Scholar 

  9. Behm FG, Raimondi SC, Frestedt JL et al (1996) Rearrangement of the MLL gene confers a poor prognosis in childhood acute lymphoblastic leukemia, regardless of presenting age. Blood 87(7):2870–2877

    Article  CAS  PubMed  Google Scholar 

  10. Pui CH, Chessells JM, Camitta B et al (2003) Clinical heterogeneity in childhood acute lymphoblastic leukemia with 11q23 rearrangements. Leukemia 17(4):700–706

    Article  CAS  PubMed  Google Scholar 

  11. Donadieu J, Auclerc MF, Baruchel A et al (2000) Prognostic study of continuous variables (white blood cell count, peripheral blast cell count, haemoglobin level, platelet count and age) in childhood acute lymphoblastic leukaemia. Analysis Of a population of 1545 children treated by the French Acute Lymphoblastic Leukaemia Group (FRALLE). Br J Cancer 83(12):1617–1622

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Stock W (2010) Adolescents and young adults with acute lymphoblastic leukemia. Hematology Am Soc Hematol Educ Program 2010:21–29

    Article  PubMed  Google Scholar 

  13. Schultz KR, Pullen DJ, Sather HN et al (2007) Risk- and response-based classification of childhood B-precursor acute lymphoblastic leukemia: a combined analysis of prognostic markers from the Pediatric Oncology Group (POG) and Children’s Cancer Group (CCG). Blood 109(3):926–935

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Pui CH, Relling MV, Downing JR (2004) Acute lymphoblastic leukemia. N Engl J Med 350(15):1535–1548

    Article  CAS  PubMed  Google Scholar 

  15. Sternberg CN (2006) Are nomograms better than currently available stage groupings for bladder cancer? J Clin Oncol 24(24):3819–3820

    Article  PubMed  Google Scholar 

  16. Mariani L, Miceli R, Kattan MW et al (2005) Validation and adaptation of a nomogram for predicting the survival of patients with extremity soft tissue sarcoma using a three-grade system. Cancer 103(2):402–408

    Article  PubMed  Google Scholar 

  17. Wang L, Hricak H, Kattan MW et al (2007) Prediction of seminal vesicle invasion in prostate cancer: incremental value of adding endorectal MR imaging to the Kattan nomogram. Radiology 242(1):182–188

    Article  PubMed  Google Scholar 

  18. Hematology Oncology Committee, Chinese Anti-Cancer Association (2016) Chinese guidelines for diagnosis and treatment of acute lymphoblastic leukemia(2016). Zhonghua Xue Ye Xue Za Zhi 37(10):837–845

    Google Scholar 

  19. Brown PA, Shah B, Fathi A et al (2017) NCCN Guidelines Insights: Acute Lymphoblastic Leukemia, Version 1.2017. J Natl Compr Canc Netw 15(9):1091–1102

    Article  CAS  PubMed  Google Scholar 

  20. Jabbour EJ, Faderl S, Kantarjian HM (2005) Adult acute lymphoblastic leukemia. Mayo Clin Proc 80(11):1517–1527

    Article  CAS  PubMed  Google Scholar 

  21. Chinese Society of Hematology Chinese Medical Association, Chinese Society of Pathology Chinese Medical Association [Expert consensus on the application of next-generation sequencing in hematological neoplasms (2018)]. Zhonghua Xue Ye Xue Za Zhi 2018; 39(11):881-886.

  22. Camp RL, Dolled-Filhart M, Rimm DL (2004) X-tile: a new bio-informatics tool for biomarker assessment and outcome-based cut-point optimization. Clin Cancer Res 10(21):7252–7259

    Article  CAS  PubMed  Google Scholar 

  23. Grambsch PM, Therneau TM (1994) Proportional Hazards tests and diagnostics based on weighted residuals. Biometrika 81(3):515–526

    Article  Google Scholar 

  24. Vickers AJ, Elkin EB (2006) Decision curve analysis: a novel method for evaluating prediction models. Med Decis Making 26(6):565–574

    Article  PubMed  PubMed Central  Google Scholar 

  25. Li L, Greene T, Hu B (2018) A simple method to estimate the time-dependent receiver operating characteristic curve and the area under the curve with right censored data. Stat Methods Med Res 27(8):2264–2278

    Article  PubMed  Google Scholar 

  26. Gökbuget N, Hoelzer D (2006) Treatment of adult acute lymphoblastic leukemia. Hematology Am Soc Hematol Educ Program 133–41. https://doi.org/10.1182/asheducation-2006.1.133

  27. Moorman AV, Ensor HM, Richards SM et al (2010) Prognostic effect of chromosomal abnormalities in childhood B-cell precursor acute lymphoblastic leukaemia: results from the UK Medical Research Council ALL97/99 randomised trial. Lancet Oncol 11(5):429–438

    Article  CAS  PubMed  Google Scholar 

  28. Moorman AV, Chilton L, Wilkinson J et al (2010) A population-based cytogenetic study of adults with acute lymphoblastic leukemia. Blood 115(2):206–214

    Article  CAS  PubMed  Google Scholar 

  29. Smith MA, Seibel NL, Altekruse SF et al (2010) Outcomes for children and adolescents with cancer: challenges for the twenty-first century. J Clin Oncol 28(15):2625–2634

    Article  PubMed  PubMed Central  Google Scholar 

  30. Hoelzer D, Thiel E, Löffler H et al (1988) Prognostic factors in a multicenter study for treatment of acute lymphoblastic leukemia in adults. Blood 71(1):123–131

    Article  CAS  Google Scholar 

  31. Vrooman LM, Silverman LB (2016) Treatment of childhood acute lymphoblastic leukemia: prognostic factors and clinical advances. Curr Hematol Malig Rep 11(5):385–394

    Article  PubMed  Google Scholar 

  32. Carranza C, Granados L, Morales O et al (2013) Frequency of the ETV6-RUNX1, BCR-ABL1, TCF3-PBX1, and MLL-AFF1 fusion genes in Guatemalan pediatric acute lymphoblastic leukemia patients and their ethnic associations. Cancer Genet 206(6):227–232

    Article  CAS  PubMed  Google Scholar 

  33. Tkachuk DC, Kohler S, Cleary ML (1992) Involvement of a homolog of Drosophila trithorax by 11q23 chromosomal translocations in acute leukemias. Cell 71(4):691–700

    Article  CAS  PubMed  Google Scholar 

  34. Gu Y, Nakamura T, Alder H et al (1992) The t(4;11) chromosome translocation of human acute leukemias fuses the ALL-1 gene, related to Drosophila trithorax, to the AF-4 gene. Cell 71(4):701–708

    Article  CAS  PubMed  Google Scholar 

  35. El Chaer F, Keng M, Ballen KK (2020) MLL-rearranged acute lymphoblastic leukemia. Curr Hematol Malig Rep 15(2):83–89

    Article  PubMed  Google Scholar 

  36. Richard-Carpentier G, Kantarjian HM, Tang G et al (2021) Outcomes of acute lymphoblastic leukemia with KMT2A (MLL) rearrangement: the MD Anderson experience. Blood Adv 5(23):5415–5419

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Zhang D, Cheng Y, Fan J et al (2020) A nomogram for the prediction of progression and overall survival in childhood acute lymphoblastic leukemia. Front Oncol 10:1550

    Article  PubMed  PubMed Central  Google Scholar 

  38. Mao R, Hu S, Zhang Y et al (2020) Prognostic nomogram for childhood acute lymphoblastic leukemia: a comprehensive analysis of 673 patients. Front Oncol 10:1673

    Article  PubMed  PubMed Central  Google Scholar 

  39. Quan X, Zhang N, Chen Y et al (2020) Development of an immune-related prognostic model for pediatric acute lymphoblastic leukemia patients. Mol Genet Genomic Med 8(9):e1404

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  40. He YY, Wu XJ, Zhou DH et al (2022) A Nomogram for predicting event-free survival in childhood acute lymphoblastic leukemia: a multicenter retrospective study. Front Oncol 12:854798

    Article  PubMed  PubMed Central  Google Scholar 

  41. Chen P, Gao G, Xu Y et al (2022) Novel gene signature reveals prognostic model in acute lymphoblastic leukemia. Front Cell Dev Biol 10:1036312

    Article  PubMed  PubMed Central  Google Scholar 

  42. Kang H, Chen IM, Wilson CS et al (2010) Gene expression classifiers for relapse-free survival and minimal residual disease improve risk classification and outcome prediction in pediatric B-precursor acute lymphoblastic leukemia. Blood 115(7):1394–1405

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  43. Huang A, Chen Q, Fei Y et al (2021) Dynamic prediction of relapse in patients with acute leukemias after allogeneic transplantation: joint model for minimal residual disease. Int J Lab Hematol 43(1):84–92

    Article  PubMed  Google Scholar 

  44. Gu J, Liu S, Cui W et al (2022) Identification of the predictive models for the treatment response of refractory/relapsed B-Cell All patients receiving CAR-T therapy. Front Immunol 13:858590

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  45. Jahangoshai Rezaee M, Sadatpour M, Ghanbari-Ghoushchi N et al (2020) Analysis and decision based on specialist self-assessment for prognosis factors of acute leukemia integrating data-driven Bayesian network and fuzzy cognitive map. Med Biol Eng Comput 58(11):2845–2861

    Article  PubMed  Google Scholar 

  46. Liu Y, Zheng R, Liu Y et al (2022) An easy-to-use nomogram predicting overall survival of adult acute lymphoblastic leukemia. Front Oncol 12:977119

    Article  PubMed  PubMed Central  Google Scholar 

  47. Awasthi A, Ayello J, Van de Ven C et al (2015) Obinutuzumab (GA101) compared to rituximab significantly enhances cell death and antibody-dependent cytotoxicity and improves overall survival against CD20(+) rituximab-sensitive/-resistant Burkitt lymphoma (BL) and precursor B-acute lymphoblastic leukaemia (pre-B-ALL): potential targeted therapy in patients with poor risk CD20(+) BL and pre-B-ALL. Br J Haematol 171(5):763–775

    Article  CAS  PubMed  Google Scholar 

  48. Nagorsen D, Kufer P, Baeuerle PA et al (2012) Blinatumomab: a historical perspective. Pharmacol Ther 136(3):334–342

    Article  CAS  PubMed  Google Scholar 

  49. Schultz KR, Bowman WP, Aledo A et al (2009) Improved early event-free survival with imatinib in Philadelphia chromosome-positive acute lymphoblastic leukemia: a children’s oncology group study. J Clin Oncol 27(31):5175–5181

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  50. Dombret H, Topp MS, Schuh AC et al (2019) Blinatumomab versus chemotherapy in first salvage or in later salvage for B-cell precursor acute lymphoblastic leukemia. Leuk Lymphoma 60(9):2214–2222

    Article  CAS  PubMed  Google Scholar 

  51. Batlevi CL, Matsuki E, Brentjens RJ et al (2016) Novel immunotherapies in lymphoid malignancies. Nat Rev Clin Oncol 13(1):25–40

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

We thank who have devoted a lot to this study, including nurses, pathologists, statisticians, reviewers, and editors.

Funding

This study was supported by the National Clinical Key Specialty of Hematology (Min 2023-48) and National and Fujian Provincial Key Clinical Specialty Discipline Construction Program of China, P. R.C.

Author information

Authors and Affiliations

Authors

Contributions

Qian Zhang, Yuan-Zhong Chen, and Yong Wu collection, management, analysis, and interpretation of the data; Qian Zhang, Mei-Juan Huang, Yong Wu, Han-Yu Wang, and Yuan-Zhong Chen preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.

Corresponding authors

Correspondence to Yong Wu or Yuan-Zhong Chen.

Ethics declarations

Statement of ethics

This study was approved by the institutional review board of Fujian Medical University Union Hospital.

Conflict of interest

The authors declare no competing interests.

Additional information

Publisher’s note

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

Supplementary information

ESM 1

(DOCX 2095 kb)

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhang, Q., Huang, MJ., Wang, HY. et al. A novel prognostic nomogram for adult acute lymphoblastic leukemia: a comprehensive analysis of 321 patients. Ann Hematol 102, 1825–1835 (2023). https://doi.org/10.1007/s00277-023-05267-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00277-023-05267-6

Keyword

Navigation