Risk Stratification in Older Intensively Treated Patients With AML

Author:

Versluis Jurjen1ORCID,Metzner Marlen2ORCID,Wang Ariel3ORCID,Gradowska Patrycja14,Thomas Abin5ORCID,Jakobsen Niels Asger2ORCID,Kennedy Alison2ORCID,Moore Rachel2,Boertjes Emma1ORCID,Vonk Christian M.1ORCID,Kavelaars Francois G.1,Rijken Melissa1,Gilkes Amanda6ORCID,Schwab Claire7,Beverloo H. Berna8ORCID,Manz Markus9ORCID,Visser Otto10,Van Elssen Catharina H.M.J.11ORCID,de Weerdt Okke12,Tick Lidwine W.13ORCID,Biemond Bart J.14,Vekemans Marie-Christiane15,Freeman Sylvie D.16ORCID,Harrison Christine J.7,Cook Jonathan A.17ORCID,Dennis Mike18,Knapper Steven6ORCID,Thomas Ian5,Craddock Charles19ORCID,Ossenkoppele Gert J.20,Löwenberg Bob1ORCID,Russell Nigel21ORCID,Valk Peter J.M.1ORCID,Vyas Paresh222ORCID

Affiliation:

1. Department of Hematology, Erasmus University Medical Center Cancer Institute, Rotterdam, the Netherlands

2. MRC Molecular Haematology Unit, Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, United Kingdom

3. Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom

4. HOVON Foundation, Rotterdam, the Netherlands

5. Centre for Trials Research, College of Biomedical & Life Sciences, Cardiff University, Cardiff, United Kingdom

6. School of Medicine, Cardiff University, Cardiff, United Kingdom

7. Leukaemia Research Cytogenetics Group, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom

8. Department of Clinical Genetics, Erasmus University Medical Center, Rotterdam, the Netherlands

9. Department of Hematology, University Hospital Zurich, Zurich, Switzerland

10. Department of Hematology, Isala Hospital, Zwolle, the Netherlands

11. Maastricht University Medical Center, Maastricht, the Netherlands

12. Antonius Hospital, Nieuwegein, the Netherlands

13. Maxima Medical Center, Eindhoven, the Netherlands

14. Amsterdam UMC, Location AMC, Cancer Center Amsterdam, Amsterdam, the Netherlands

15. Cliniques Universitaires Saint-Luc, Brussels, Belgium

16. Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, United Kingdom

17. Oxford Clinical Trials Research Unit, Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Oxford, United Kingdom

18. The Christie NHS Foundation Trust, Manchester, United Kingdom

19. Warwick Clinical Trials Unit, University of Warwick, Warwick, United Kingdom

20. Amsterdam UMC, VU University Medical Center, Cancer Center Amsterdam, Amsterdam, the Netherlands

21. Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom

22. Department of Haematology, Oxford University Hospitals NHS Trust and Oxford Biomedical Centre, Oxford, United Kingdom

Abstract

PURPOSE AML is a genetically heterogeneous disease, particularly in older patients. In patients older than 60 years, survival rates are variable after the most important curative approach, intensive chemotherapy followed by allogeneic hematopoietic cell transplantation (allo-HCT). Thus, there is an urgent need in clinical practice for a prognostic model to identify older patients with AML who benefit from curative treatment. METHODS We studied 1,910 intensively treated patients older than 60 years with AML and high-risk myelodysplastic syndrome (HR-MDS) from two cohorts (NCRI-AML18 and HOVON-SAKK). The median patient age was 67 years. Using a random survival forest, clinical, molecular, and cytogenetic variables were evaluated in an AML development cohort (n = 1,204) for association with overall survival (OS). Relative weights of selected variables determined the prognostic model, which was validated in AML (n = 491) and HR-MDS cohorts (n = 215). RESULTS The complete cohort had a high frequency of poor-risk features, including 2022 European LeukemiaNet adverse-risk (57.3%), mutated TP53 (14.4%), and myelodysplasia-related genetic features (65.1%). Nine variables were used to construct four groups with highly distinct 4-year OS in the (1) AML development, (2) AML validation, and (3) HR-MDS test cohorts ([1] favorable: 54% ± 4%, intermediate: 38% ± 2%, poor: 21% ± 2%, very poor: 4% ± 1%; [2] 54% ± 9%, 43% ± 4%, 27% ± 4%, 4% ± 3%; and [3] 54% ± 10%, 33% ± 6%, 14% ± 5%, 0% ± 3%, respectively). This new AML60+ classification improves current prognostic classifications. Importantly, patients within the AML60+ intermediate- and very poor-risk group significantly benefited from allo-HCT, whereas the poor-risk patients showed an indication, albeit nonsignificant, for improved outcome after allo-HCT. CONCLUSION The new AML60+ classification provides prognostic information for intensively treated patients 60 years and older with AML and HR-MDS and identifies patients who benefit from intensive chemotherapy and allo-HCT.

Publisher

American Society of Clinical Oncology (ASCO)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3