Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

Chronic myelogenous leukemia

Primary therapy and relative survival among elderly patients with chronic myeloid leukemia: a population-based study in the Netherlands, 1989–2017

A Correction to this article was published on 28 September 2020

This article has been updated

This is a preview of subscription content, access via your institution

Access options

Buy article

Get time limited or full article access on ReadCube.

$32.00

All prices are NET prices.

Fig. 1: Primary treatment of elderly patients with chronic myeloid leukemia in the Netherlands.
Fig. 2: Relative survival of elderly patients with chronic myeloid leukemia in the Netherlands according to age at diagnosis and calendar period of diagnosis, 1989–2017.

Change history

  • 28 September 2020

    An amendment to this paper has been published and can be accessed via a link at the top of the paper.

References

  1. Rohrbacher M, Berger U, Hochhaus A, Metzgeroth G, Adam K, Lahaye T, et al. Clinical trials underestimate the age of chronic myeloid leukemia (CML) patients. Incidence and median age of Ph/BCR-ABL-positive CML and other chronic myeloproliferative disorders in a representative area in Germany. Leukemia. 2008;23:602–4.

    Article  Google Scholar 

  2. Pulte D, Redaniel MT, Bird J, Jeffreys M. Survival for patients with chronic leukemias in the US and Britain: age-related disparities and changes in the early 21st century. Eur J Haematol. 2015;94:540–5.

    Article  Google Scholar 

  3. Krok-Schoen JL, Fisher JL, Stephens JA, Mims A, Ayyappan S, Woyach JA, et al. Incidence and survival of hematological cancers among adults ages ≥75 years. Cancer Med. 2018;7:3425–33.

    Article  Google Scholar 

  4. Castagnetti F, Gugliotta G, Baccarani M, Breccia M, Specchia G, Levato L, et al. Differences among young adults, adults and elderly chronic myeloid leukemia patients. Ann Oncol. 2015;26:185–92.

    Article  CAS  Google Scholar 

  5. Mandal R, Bolt DM, Shah BK. Disparities in chronic myeloid leukemia survival by age, gender, and ethnicity in pre- and post-imatinib eras in the US. Acta Oncol. 2013;52:837–41.

    Article  Google Scholar 

  6. Schouten LJ, Hoppener P, van den Brandt PA, Knottnerus JA, Jager JJ. Completeness of cancer registration in Limburg, The Netherlands. Int J Epidemiol. 1993;22:369–76.

    Article  CAS  Google Scholar 

  7. Dickman PW, Adami HO. Interpreting trends in cancer patient survival. J Intern Med. 2006;260:103–17.

    Article  CAS  Google Scholar 

  8. Ederer F, Heise H. Instructions to IBM 650 programmers in processing survival computations. Methodological Note No. 10. End Results Evaluation Section. National Cancer Institute: Bethesda, MD, 1959.

  9. Dickman PW, Sloggett A, Hills M, Hakulinen T. Regression models for relative survival. Stat Med. 2004;23:51–64.

    Article  Google Scholar 

  10. Bjorkholm M, Ohm L, Eloranta S, Derolf A, Hultcrantz M, Sjoberg J, et al. Success story of targeted therapy in chronic myeloid leukemia: a population-based study of patients diagnosed in Sweden from 1973 to 2008. J Clin Oncol. 2011;29:2514–20.

    Article  Google Scholar 

  11. Hoglund M, Sandin F, Hellstrom K, Bjoreman M, Bjorkholm M, Brune M, et al. Tyrosine kinase inhibitor usage, treatment outcome, and prognostic scores in CML: report from the population-based Swedish CML registry. Blood. 2013;122:1284–92.

    Article  Google Scholar 

  12. Sant M, Minicozzi P, Mounier M, Anderson LA, Brenner H, Holleczek B, et al. Survival for haematological malignancies in Europe between 1997 and 2008 by region and age: results of EUROCARE-5, a population-based study. Lancet Oncol. 2014;15:931–42.

    Article  Google Scholar 

  13. Huang X, Cortes J, Kantarjian H. Estimations of the increasing prevalence and plateau prevalence of chronic myeloid leukemia in the era of tyrosine kinase inhibitor therapy. Cancer. 2012;118:3123–7.

    Article  Google Scholar 

Download references

Acknowledgements

The authors would like to thank the registration clerks of the Netherlands Cancer Registry (NCR) for their dedicated data collection. The nationwide population-based NCR is maintained and hosted by the Netherlands Comprehensive Cancer Organisation (IKNL).

Author information

Authors and Affiliations

Authors

Contributions

AGD designed the study; GICGE analyzed the data; AGD supervised the data analyses; OV collected the data; GICGE wrote the paper with contributions from all authors, who also interpreted the data, and read, commented on, and approved the final version of the paper.

Corresponding author

Correspondence to Geneviève I. C. G. Ector.

Ethics declarations

Conflict of interest

GICGE: no conflict of interest. OV: no conflict of interest. PEW: no conflict of interest. JJWMJ: Research Support Novartis, BMS. Honoraria Abbvie, Novartis, Pfizer, Incyte. NMAB: no conflict of interest. AGD: no conflict of interest.

Additional information

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

Supplementary information

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Ector, G.I.C.G., Visser, O., Westerweel, P.E. et al. Primary therapy and relative survival among elderly patients with chronic myeloid leukemia: a population-based study in the Netherlands, 1989–2017. Leukemia 34, 3408–3412 (2020). https://doi.org/10.1038/s41375-020-0902-1

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41375-020-0902-1

This article is cited by

Search

Quick links