Cancer survival in Lower Silesia: insights from a national oncology network pilot in Poland

波兰下西里西亚地区癌症生存率:来自波兰国家肿瘤网络试点项目的启示

阅读:1

Abstract

INTRODUCTION: This study provides population-based data on biological subtypes of breast cancer (BC) and associated survival outcomes among Polish women diagnosed between 2019 and 2023 in the Lower Silesia region during the national pilot phase of the National Oncology Network (NON). METHODS: Data on BC cases were obtained from the DCOPIH databases as the leader of the pilot program in Poland in between 2019 and 2023 also in the Lower Silesia region. The main outcome was overall cancer survival and cases were linked to existing mortality databases. All patient consent and scope of data analysis was provided based on the MoH Regulation. Analyses included stage at diagnosis, biological subtypes, and five-year survival, stratified by age, subtype, and stage. RESULTS: A total of 4490 women with BC were included. The luminal B subtype was the most prevalent, generally increasing with age and peaking at 46% in the 80+ age group. Across all stages, five-year survival was highest for luminal A (Kaplan Meier estimation of 90.3%. 95% CI: 88.1%-92.5%) and lowest for triple negative breast cancer (TNBC) (Kaplan Meier estimation of 68.5%, 95% CI: 63.4%-74.0%). For stages I disease, five-year survival was 92.8% for all subtypes aggregated (95% CI: 91.1%-94.5%). Survival declined with advancing stage, particularly for TNBC cases, in population with TNBC diagnosed at stage IV no patient surviving above 48 months was observed. CONCLUSIONS: Distinct clinical trajectories of BC subtypes have significant implications for prognosis and healthcare resource allocation. The observation of ≥92% five-year survival for stage I disease across subtypes underscores the critical importance of early detection, particularly in biologically aggressive subtypes such as TNBC breast cancer.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。