Annals of Oncology Advance Access originally published online on April 22, 2005
Annals of Oncology 2005 16(6):981-986; doi:10.1093/annonc/mdi186
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© 2005 European Society for Medical Oncology
Long-term survival of cancer patients in Germany achieved by the beginning of the third millenium
1 German Centre for Research on Ageing, Heidelberg; 2 Saarland Cancer Registry, Saarbrücken, Germany
* Correspondence to: Dr H. Brenner, Department of Epidemiology, German Centre for Research on Ageing, Bergheimer Strasse 20, D-69115 Heidelberg, Germany. Tel: +49-6221-548140; Fax: +49-6221-548142; Email: brenner{at}dzfa.uni-heidelberg.de
Background:: Over the last decades, long-term survival rates have substantially increased for many forms of cancer. However, these improvements have often been detected with substantial delay by traditional methods of survival analyses.
Patients and methods:: Using data of the population-based Saarland Cancer Registry, 5- and 10-year relative survival rates were derived for patients with 24 common forms of cancer in Saarland/Germany for the years 2000–2002 by period analysis and compared with conventional cohort estimates of 5- and 10-year relative survival rates pertaining to patients diagnosed in 1990–1992.
Results:: For many forms of cancer, the 2000–2002 period survival estimates were substantially higher than the corresponding estimates for the cohorts of patients diagnosed in 1990–1992. For example, 10-year relative survival rates achieved in 2000–2002 were close to 100% for patients with testis and thyroid cancer, >85% for patients with melanomas of the skin, 
80% for patients with endometrial cancer and prostate cancer, close to 70% for patients with breast cancer and kidney cancer, and close to 60% for patients with colon cancer and lymphomas.
Conclusions:: Survival expectations of patients diagnosed with cancer at the beginning of the third millenium are substantially higher than previously available survival statistics have suggested.
Key words: cancer registries, period analysis, prognosis, survival analysis
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