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Chronic myelomonocytic leukemia (CMML) is a rare hematopoietic malignancy. Treatment with hypomethylating agents (HMA) was introduced between 2004 and 2006 but its impact on population-based survival remains controversial. The aim of this study was to investigate epidemiological characteristics and survival before and after introduction of HMA treatment.We performed a population-based analysis of CMML cases reported to the Cantonal Cancer Registries in Switzerland (SWISS) and the Surveillance, Epidemiology, and End Results (SEER) Program from the United States for 1999-2006 (before HMA) and 2007-2014 (after HMA). Time trends were compared for these two time periods.423 and 4144 new CMML cases were reported to the SWISS and SEER registries, respectively. We observed an increasing proportion of older patients ≥75 years in the SWISS (50.3%-62.3%) compared to a decreasing one in the SEER population (59.1%-55.1%). Age standardized incidence-rates were similar and remained stable in both countries (0.32-0.38 per 100'000 py). Relative survival (RS) improved significantly in the SEER (3 years 27%-37%; 5 years 19%-23%; p 0.001 for both) but remained stable in the SWISS population (3 years 48% to 40%; 5 years 34% to 26%; n.s. for both).With the exception of opposing age-trends, epidemiologic characteristics are similar in both countries and comparable to other population-based registries. RS remains poor and different time trends of population-based survival cannot be faithfully explained by HMA but most likely by changes in diagnostic accuracy within prognostically distinct age-groups.

Background Treatment of multiple myeloma has changed considerably over the last two decades with remarkable reduction in mortality rates in clinical trials and in population-based studies. Since health care systems and patient management differ between countries, population-based data from cancer registries with high coverage may provide further insight into real-life achievements and unmet needs. We report on the first population-based nation-wide study of incidence, mortality and survival of multiple myeloma in Switzerland covering the era of autologous stem cell transplantation and the first proteasome inhibitors and immunomodulatory drugs. Methods We performed a retrospective registry study with data from the National Institute for Cancer Epidemiology and Registration (NICER) database in Switzerland from 1994 to 2013. Results We identified 5770 patients with multiple myeloma. Incidence has increased from 419 new cases per year in 1994–1998 to 557 new cases per year in 2009–2013 while the age-adjusted incidence rate remained stable at 4.7–5.0 per 100′000 person-years. Five- and 10-year relative survival increased from 32.6% (95%CI 29.3–36.0) and 17.8% (95%CI 14.9–21.0) in 1994–1998 to 46.4% (95%CI 43.3–49.3) and 25.0% (95%CI 21.9–28.3) in 2009–2013. Conclusion The increase in incidence can be attributed to demographic changes. There is a trend to longer relative survival in all age groups with substantial increase in myeloma patients aged less than 75 years and only minimal changes in older persons.

Acute Myeloid Leukaemia (AML) is a rare and heterogeneous haematological malignancy with increasing incidence in the elderly. We performed a population-based, observational analysis of AML cases reported to the Cantonal Cancer Registries in Switzerland. Data was aggregated by the National Institute for Epidemiology and Cancer Registration and stratified for the two time periods 2001-2007 and 2008-2013. Overall, 2351 new AML cases were registered with a stable age-standardised incidence rate (3.0 [95 CI: 2.8-3.2] per 100,000 person-years). This indicates that our observed raise of annual AML cases (+10.9%) is mainly related to demographic ageing and not to an increase of age-specific risks. The fraction of non-classifiable AML cases decreased over time (54.6% to 41.8%) but remained high in elderly patients (65-74yrs: 44%; 75-84yrs: 54.2%, 85+yrs: 59.1%), suggesting less accurate diagnostics and reporting with increasing age. 5yrs relative survival (RS) correlated with AML risk class (favorable: 61.7%-68.4%; adverse risk: 11.4%-21.9%) and age (