Long-term Cancer Survival Trends by Updated Summary Stage

Stage is the most important prognostic factor for understanding cancer survival trends. Summary stage (SS) classifies cancer based on the extent of spread: In situ, Localized, Regional, or Distant. Continual updating of staging systems poses challenges to stage comparisons over time. We use a consis...

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Veröffentlicht in:Cancer epidemiology, biomarkers & prevention biomarkers & prevention, 2023-11, Vol.32 (11), p.1508-1517
Hauptverfasser: Forjaz, Gonçalo, Ries, Lynn, Devasia, Theresa P, Flynn, Gretchen, Ruhl, Jennifer, Mariotto, Angela B
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Sprache:eng
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Zusammenfassung:Stage is the most important prognostic factor for understanding cancer survival trends. Summary stage (SS) classifies cancer based on the extent of spread: In situ, Localized, Regional, or Distant. Continual updating of staging systems poses challenges to stage comparisons over time. We use a consistent summary stage classification and present survival trends for 25 cancer sites using the joinpoint survival (JPSurv) model. We developed a modified summary stage variable, Long-Term Site-Specific Summary Stage, based on as consistent a definition as possible and applied it to a maximum number of diagnosis years, 1975-2019. We estimated trends by stage by applying JPSurv to relative survival data for 25 cancer sites in SEER-8, 1975-2018, followed through December 31, 2019. To help interpret survival trends, we report incidence and mortality trends using the joinpoint model. Five-year relative survival improved for nearly all sites and stages. Large improvements were observed for localized pancreatic cancer [4.25 percentage points annually, 2007-2012 (95% confidence interval, 3.40-5.10)], distant skin melanoma [2.15 percentage points annually, 2008-2018 (1.73-2.57)], and localized esophagus cancer [1.18 percentage points annually, 1975-2018 (1.11-1.26)]. This is the first analysis of survival trends by summary stage for multiple cancer sites. The largest survival increases were seen for cancers with a traditionally poor prognosis and no organized screening, which likely reflects clinical management advances. Our study will be particularly useful for understanding the population-level impact of new treatments and identifying emerging trends in health disparities research.
ISSN:1055-9965
1538-7755
DOI:10.1158/1055-9965.EPI-23-0589