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Acute Leukemias

Integrated use of minimal residual disease classification and IKZF1 alteration status accurately predicts 79% of relapses in pediatric acute lymphoblastic leukemia

Abstract

Response to therapy as determined by minimal residual disease (MRD) is currently used for stratification in treatment protocols for pediatric acute lymphoblastic leukemia (ALL). However, the large MRD-based medium risk group (MRD-M; 50–60% of the patients) harbors many relapses. We analyzed MRD in 131 uniformly treated precursor-B-ALL patients and evaluated whether combined MRD and IKZF1 (Ikaros zinc finger-1) alteration status can improve risk stratification. We confirmed the strong prognostic significance of MRD classification, which was independent of IKZF1 alterations. Notably, 8 of the 11 relapsed cases in the large MRD-M group (n=81; 62%) harbored an IKZF1 alteration. Integration of both MRD and IKZF1 status resulted in a favorable outcome group (n=104; 5 relapses) and a poor outcome group (n=27; 19 relapses), and showed a stronger prognostic value than each of the established risk factors alone (hazard ratio (95%CI): 24.98 (8.29–75.31)). Importantly, whereas MRD and IKZF1 status alone identified only 46 and 54% of the relapses, respectively, their integrated use allowed prediction of 79% of all the relapses with 93% specificity. Because of the unprecedented sensitivity in upfront relapse prediction, the combined parameters have high potential for future risk stratification, particularly for patients originally classified as non-high risk, such as the large group of MRD-M patients.

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References

  1. Veerman AJ, Kamps WA, van den Berg H, van den Berg E, Bokkerink JP, Bruin MC et al. Dexamethasone-based therapy for childhood acute lymphoblastic leukaemia: results of the prospective Dutch Childhood Oncology Group (DCOG) protocol ALL-9 (1997–2004). Lancet Oncol 2009; 10: 957–966.

    Article  CAS  Google Scholar 

  2. Dongen van JJ, Seriu T, Panzer-Grumayer ER, Biondi A, Pongers-Willemse MJ, Corral L et al. Prognostic value of minimal residual disease in acute lymphoblastic leukaemia in childhood. Lancet 1998; 352: 1731–1738.

    Article  Google Scholar 

  3. Velden van der VHJ, Corral L, Valsecchi MG, Jansen MW, De LP, Cazzaniga G et al. Prognostic significance of minimal residual disease in infants with acute lymphoblastic leukemia treated within the Interfant-99 protocol. Leukemia 2009; 23: 1073–1079.

    Article  Google Scholar 

  4. Flohr T, Schrauder A, Cazzaniga G, Panzer-Grumayer R, Velden van der VHJ, Fischer S et al. Minimal residual disease-directed risk stratification using real-time quantitative PCR analysis of immunoglobulin and T-cell receptor gene rearrangements in the international multicenter trial AIEOP-BFM ALL 2000 for childhood acute lymphoblastic leukemia. Leukemia 2008; 22: 771–782.

    Article  CAS  Google Scholar 

  5. Borowitz MJ, Devidas M, Hunger SP, Bowman WP, Carroll AJ, Carroll WL et al. Clinical significance of minimal residual disease in childhood acute lymphoblastic leukemia and its relationship to other prognostic factors: a Children's Oncology Group study. Blood 2008; 111: 5477–5485.

    Article  CAS  Google Scholar 

  6. Willemse MJ, Seriu T, Hettinger K, d'Aniello E, Hop WC, Panzer-Grumayer ER et al. Detection of minimal residual disease identifies differences in treatment response between T-ALL and precursor B-ALL. Blood 2002; 99: 4386–4393.

    Article  CAS  Google Scholar 

  7. Velden van der VHJ, Panzer-Grumayer ER, Cazzaniga G, Flohr T, Sutton R, Schrauder A et al. Optimization of PCR-based minimal residual disease diagnostics for childhood acute lymphoblastic leukemia in a multi-center setting. Leukemia 2007; 21: 706–713.

    Article  Google Scholar 

  8. Velden van der VHJ, Cazzaniga G, Schrauder A, Hancock J, Bader P, Panzer-Grumayer ER et al. Analysis of minimal residual disease by Ig/TCR gene rearrangements: guidelines for interpretation of real-time quantitative PCR data. Leukemia 2007; 21: 604–611.

    Article  Google Scholar 

  9. Mullighan CG, Su X, Zhang J, Radtke I, Phillips LA, Miller CB et al. Deletion of IKZF1 and prognosis in acute lymphoblastic leukemia. N Engl J Med 2009; 360: 470–480.

    Article  CAS  Google Scholar 

  10. Kuiper RP, Waanders E, van dV V, van Reijmersdal SV, Venkatachalam R, Scheijen B et al. IKZF1 deletions predict relapse in uniformly treated pediatric precursor B-ALL. Leukemia 2010; 24: 1258–1264.

    Article  CAS  Google Scholar 

  11. Dongen van JJ, Langerak AW, Bruggemann M, Evans PA, Hummel M, Lavender FL et al. Design and standardization of PCR primers and protocols for detection of clonal immunoglobulin and T-cell receptor gene recombinations in suspect lymphoproliferations: report of the BIOMED-2 Concerted Action BMH4-CT98-3936. Leukemia 2003; 17: 2257–2317.

    Article  Google Scholar 

  12. Szczepanski T, van der Velden VHJ, Hoogeveen PG, de Bie M, Jacobs DC, van Wering ER et al. Vdelta2-Jalpha rearrangements are frequent in precursor-B-acute lymphoblastic leukemia but rare in normal lymphoid cells. Blood 2004; 103: 3798–3804.

    Article  CAS  Google Scholar 

  13. Szczepanski T, Willemse MJ, van Wering ER, van Weerden JF, Kamps WA, van Dongen JJ . Precursor-B-ALL with D(H)-J(H) gene rearrangements have an immature immunogenotype with a high frequency of oligoclonality and hyperdiploidy of chromosome 14. Leukemia 2001; 15: 1415–1423.

    Article  CAS  Google Scholar 

  14. Verhagen OJ, Willemse MJ, Breunis WB, Wijkhuijs AJ, Jacobs DC, Joosten SA et al. Application of germline IGH probes in real-time quantitative PCR for the detection of minimal residual disease in acute lymphoblastic leukemia. Leukemia 2000; 14: 1426–1435.

    Article  CAS  Google Scholar 

  15. Pongers-Willemse MJ, Seriu T, Stolz F, d'Aniello E, Gameiro P, Pisa P et al. Primers and protocols for standardized detection of minimal residual disease in acute lymphoblastic leukemia using immunoglobulin and T cell receptor gene rearrangements and TAL1 deletions as PCR targets: report of the BIOMED-1 CONCERTED ACTION: investigation of minimal residual disease in acute leukemia. Leukemia 1999; 13: 110–118.

    Article  CAS  Google Scholar 

  16. Bruggemann M, van der Velden VHJ, Raff T, Droese J, Ritgen M, Pott C et al. Rearranged T-cell receptor beta genes represent powerful targets for quantification of minimal residual disease in childhood and adult T-cell acute lymphoblastic leukemia. Leukemia 2004; 18: 709–719.

    Article  CAS  Google Scholar 

  17. Velden van der VHJ, Wijkhuijs JM, Jacobs DC, van Wering ER, van Dongen JJ . T cell receptor gamma gene rearrangements as targets for detection of minimal residual disease in acute lymphoblastic leukemia by real-time quantitative PCR analysis. Leukemia 2002; 16: 1372–1380.

    Article  Google Scholar 

  18. Velden van der VHJ, Willemse MJ, van der Schoot CE, Hahlen K, van Wering ER, van Dongen JJ . Immunoglobulin kappa deleting element rearrangements in precursor-B acute lymphoblastic leukemia are stable targets for detection of minimal residual disease by real-time quantitative PCR. Leukemia 2002; 16: 928–936.

    Article  Google Scholar 

  19. Velden van der VHJ, de Bie M, van Wering ER, van Dongen JJ . Immunoglobulin light chain gene rearrangements in precursor-B-acute lymphoblastic leukemia: characteristics and applicability for the detection of minimal residual disease. Haematologica 2006; 91: 679–682.

    Google Scholar 

  20. Bassan R, Spinelli O, Oldani E, Intermesoli T, Tosi M, Peruta B et al. Improved risk classification for risk-specific therapy based on the molecular study of minimal residual disease (MRD) in adult acute lymphoblastic leukemia (ALL). Blood 2009; 113: 4153–4162.

    Article  CAS  Google Scholar 

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Acknowledgements

We thank Patricia Hoogeveen, Maaike de Bie, Annemarie Wijkhuijs, Phary Hart, Jane Voerman, Christa Homburg, Erik Bus and Rob Dee for performing the MRD analyses, Edwin Sonneveld for help in collecting the clinical data, Eveline Kamping for technical assistance and Paul Span and Peggy Manders for advice regarding the statistical analyses. This work was supported by grants from the Dutch Cancer Society (KUN2009–4298 to RPK, AGvK and PMH; EMCR2006–3547 to VHJvdV; and SNWLK 97–1567 and SNWLK 2000–2268 to JJMvD and CEvdS), KiKa (to FNvL, PMH and RPK) and the Quality of Life Gala Foundation (to PMH, FNvL, AGvK and RPK).

Author contributionsEW, RPK, AGvK, FNvL, VHJvdV, JJMvD and CEvdS were responsible for the study design, and SVvR, EW, RPK, VHJvdV and CEvdS contributed to generation experimental data. AJV and VdH were responsible for collection of samples and clinical data. EW, VHJvdV and RPK analyzed and interpreted the data, and EW, VHJvdV, PMH and RPK wrote the manuscript, which was critically reviewed and approved by all authors.

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Correspondence to P M Hoogerbrugge.

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Waanders, E., van der Velden, V., van der Schoot, C. et al. Integrated use of minimal residual disease classification and IKZF1 alteration status accurately predicts 79% of relapses in pediatric acute lymphoblastic leukemia. Leukemia 25, 254–258 (2011). https://doi.org/10.1038/leu.2010.275

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