Cancer · 2022 · 13 citations · 22 references
MedicineOncologyCancer EpidemiologyEpidemiologic MethodsSurvival AnalysisCancer MortalityCancer RegistriesCancer Survival AnalysisMalignant NeoplasmsSoft Tissue SarcomasTumor ClassificationAge-specific Cancer PatternsBone Sarcoma EpidemiologyBone Tumor PrognosisPopulation Cancer RegistriesRegistry-based Survival StatisticsSarcoma ClassificationSoft Tissue Sarcoma EpidemiologyWorld Health Organization Histologic Classification
BACKGROUND: Sarcomas are rare, heterogeneous, ubiquitously localized malignancies with many histologic subtypes and genomic patterns. The survival of patients with sarcoma has rarely been described based on this heterogeneity; therefore, the authors' objective was to estimate survival outcomes in patients who had sarcomas using the 2020 version of the World Health Organization classification of soft tissue and bone tumors. METHODS: Patients older than 15 years who had incident sarcoma diagnosed between 2005 and 2010 were extracted from 14 French population-based cancer registries covering 18% of the French metropolitan population. Vital status for each patient was actively followed up to June 30, 2013. Net survival (NS) was estimated using the unbiased Pohar-Perme method. RESULTS: Overall, 4202 patients were included. NS declined with increasing age at diagnosis. According to topographic groups, large 5-year NS disparities were observed, ranging from 47% among women with gynecologic sarcomas to 89% among patients with skin sarcomas. Patients with soft tissue, bone, and gastrointestinal sarcomas had 5-year NS rates of 53%, 61%, and 70%, respectively. Similar heterogeneity was observed according to histologic subtypes, with 5-year NS ranging from 19% for patients with angiosarcomas to 96% for patients with dermatofibrosarcomas. Patients with sarcoma who displayed missense mutations had a better 5-year NS (74%); those with MDM2-amplified sarcomas had the worst NS (45%). CONCLUSIONS: NS rates in patients with sarcoma are presented here for the first time based on the 2020 World Health Organization classification applied to population-based registry data. Large prognostic heterogeneity was observed based on age, topographic and histologic groups, and genomic alteration profiles, constituting a benchmark for future studies and clinical trials.
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Claudia Allemani, Tomohiro Matsuda, V Di Carlo et al. · The Lancet · 2018 · 6.2K citations · Full text
Medicine, Biostatistics, Oncology +17
On Estimation in Relative Survival
Maja Pohar Perme, Janez Stare, Jacques Estève · Biometrics · 2011 · 652 citations
Medicine, Biostatistics, Oncology +17
Sarcomas in the United States: Recent trends and a call for improved staging
Michele M. Gage, Neeraja Nagarajan, Jessica M. Ruck et al. · Oncotarget · 2019 · 107 citations · Full text