Publications by authors named "E B SPAETH"
Proteasomes are essential molecular machines responsible for the degradation of proteins in eukaryotic cells. Altered proteasome activity has been linked to neurodegeneration, auto-immune disorders and cancer. Despite the relevance for human disease and drug development, no method currently exists to monitor proteasome composition and interactions in vivo in animal models.
View Article and Find Full Text PDFArticle Synopsis
- Pancreatic cancer has low survival rates but early diagnosis improves outcomes; thus, identifying at-risk individuals for targeted screening is crucial.* -
- A study using UK Biobank data developed a combined risk prediction model that incorporates both genetic (polygenic) and clinical factors to assess 10-year pancreatic cancer risks.* -
- The combined risk score demonstrated the best discrimination between affected and unaffected individuals, suggesting it can effectively identify those at higher risk for targeted early screening.*
Melanoma is one of the most commonly diagnosed cancers in the Western world: third in Australia, fifth in the USA and sixth in the European Union. Predicting an individual's personal risk of developing melanoma may aid them in undertaking effective risk reduction measures. The objective of this study was to use the UK Biobank to predict the 10-year risk of melanoma using a newly developed polygenic risk score (PRS) and an existing clinical risk model.
View Article and Find Full Text PDFArticle Synopsis
- Researchers created a model to predict 5-year prostate cancer risk using age, family history, and a polygenic risk score (PRS) from the UK Biobank's cohort of men aged 40-69 who were unaffected at the start of the study.! -
- The model showed promising results in a testing dataset, with a significant hazard ratio indicating a strong association between the predictors and prostate cancer incidence, highlighting the importance of these factors in risk assessment.! -
- This approach could help identify men at higher risk for prostate cancer, enabling personalized screening and prevention strategies based on individual risk factors.!
Validation of an Abridged Breast Cancer Risk Prediction Model for the General Population.
Cancer Prev Res (Phila)
May 2023
Article Synopsis
- A new risk assessment model has been developed that shows better performance than the established BCRAT model for identifying at-risk women.
- This study highlights the potential benefits of using the new model for better risk classification.
- Implementing this improved model could enhance current clinical interventions aimed at reducing risks for these women.