Long-term population-based survival data detailed by cancer subtype are important to measure the overall outcomes of malignancy managements. We provide net survival estimates at 1, 3, 5 and 10-year postdiagnosis on 37,549 hematological malignancy (HM) patients whose ages were >15 years, diagnosed between 1989 and 2004 and actively followed until 2008 by French population-based cancer registries. These are, to our knowledge, the first unbiased estimates of 10-year net survival in HMs detailed by subtypes. HMs were classified according to the International Classification of Diseases-Oncology 3. Net survival was estimated with the unbiased Pohar-Perme method. The results are reported by sex and age classes. The changes of these indicators by periods of diagnosis were tabulated and the trends of the net mortality rates over time since diagnosis graphed. In all, 5- and 10-year age-standardized net survivals after HMs varied widely from 81 and 76% for classical Hodgkin lymphoma (CHL) to 18 and 14% for acute myeloid leukemia (AML). Even in HMs with the most favorable prognoses, the net survival decreased between 5- and 10-year postdiagnosis. Women had better prognoses than men and age at diagnosis was an unfavorable prognostic factor for most HMs. In patients <55 years old, the net mortality rate decreased to null values 5-year postdiagnosis in AML and 10-year postdiagnosis in CHL, precursor non-HL, chronic myelogenous leukemia, diffuse large B-cell lymphoma and follicular lymphoma. The prognoses improved for various HMs over the study period. The obtained unbiased indicators are important to evaluate national cancer plans. What's new? Net survival data allow comparisons of disease-specific mortality between different countries or time periods. Relative survival estimates, on the other hand, provide biased net survival rates. In this study, the authors used the unbiased Pohar-Perme estimator to evaluate longer (10-year) net survival rates of French patients with haematological malignancies (HM) by sex, age classes, and ten major HM subtypes. Because HM subtypes differ widely in clinical presentation, treatment, and prognosis, population-based survival data detailed by subtype are important for measuring outcomes of HM management, as well as for long-range healthcare planning.
Auteur : Monnereau A, Troussard X, Belot A, Guizard AV, Woronoff AS, Bara S, Lapotre Ledoux B, Iwaz J, Tretarre B, Maynadie M
International journal of cancer, 2013, vol. 132, n°. 10, p. 2378-87