Development of breast cancer mortality considering the implementation of mammography screening programs - a comparison of western European countries.

BACKGROUND: Triggered by the successive implementation of organized mammography screening programs (MSPs) throughout western European countries over the last decades, there is an ongoing debate questioning their effectiveness. Since it is difficult to assess the effect of MSPs on a population level, we rather aim to assess the impact of the implementation itself on breast cancer mortality rates utilizing an ecological study design. METHODS: We analyzed age group-specific (50-59, 60-69 and 70-79 years) female breast cancer mortality rates in 14 western European countries between 1980 and 2017 using Joinpoint regression, interrupted time series (ITS) regression and multivariable Poisson regression. RESULTS: The Joinpoint analysis demonstrated decreasing trends resulting in annual percentage changes ranging from - 1.5% to - 5.4% (50-59), - 0.2% to - 8.1% (60-69) and 0% to - 7.1% (70-79) depending on the country within 3 years after MSP implementation. The ITS analysis results in highly significant interaction terms (calendar year * binary MSP indicator) for all age groups. The multivariable regression using "calendar year", "year of MSP implementation" and "years with MSP" as independent variables yielded a significant yearly decrease for "years with MSP" ranging from 0.9 to 1.2%. CONCLUSIONS: The results of this study suggest a positive association between the implementation of MSPs and the (accelerated) reduction of breast cancer mortality rates. Measuring and quantifying the isolated effect of MSPs on a population level will require additional studies using individual data.

A disease-driver population within interstitial cells of human calcific aortic valves identified via single-cell and proteomic profiling.

Cellular heterogeneity of aortic valves complicates the mechanistic evaluation of the calcification processes in calcific aortic valve disease (CAVD), and animal disease models are lacking. In this study, we identify a disease-driver population (DDP) within valvular interstitial cells (VICs). Through stepwise single-cell analysis, phenotype-guided omic profiling, and network-based analysis, we characterize the DDP fingerprint as CD44highCD29+CD59+CD73+CD45low and discover potential key regulators of human CAVD. These DDP-VICs demonstrate multi-lineage differentiation and osteogenic properties. Temporal proteomic profiling of DDP-VICs identifies potential targets for therapy, including MAOA and CTHRC1. In vitro loss-of-function experiments confirm our targets. Such a stepwise strategy may be advantageous for therapeutic target discovery in other disease contexts.