Dementia and cancer are 2 common diseases in the elderly. This retrospective cohort study used a population-based insurance claim dataset, merged with a cancer registry, to test whether risk reduction of cancers occurs at various primary sites after diagnosis of dementia. The study included a cohort of 3282 patients who were first diagnosed with dementia between 2001 and 2002. A control cohort consisted of 13,128 subjects matched for age, sex, and year of enrollment. The site of cancer and duration between the diagnosis of dementia and cancer were analyzed. Among the dementia cases, 169 patients (5.2%) were diagnosed with cancer during a median observation period of 40 months. In the control group, 976 subjects (7.4%) were diagnosed with cancer, during a median observation period of 46 months. During a 7-year follow-up period, the adjusted hazard ratio for cancer among dementia patients was 0.77 (95% confidence interval, 0.65-0.91), and significantly lower for colon (0.54, 0.29-0.99) and prostate cancers (0.44, 0.20-0.98). This study showed an inverse association between cancer and dementia. Further studies focusing on colon and prostate cancers may help elucidate the underlying mechanism and expand the therapeutic strategies.
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http://dx.doi.org/10.1097/WAD.0000000000000116 | DOI Listing |
Eur Psychiatry
January 2025
Centre for Clinical Brain Sciences, University of Edinburgh, UK.
Nat Commun
January 2025
Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA.
An essential task in spatial transcriptomics is identifying spatially variable genes (SVGs). Here, we present Celina, a statistical method for systematically detecting cell type-specific SVGs (ct-SVGs)-a subset of SVGs exhibiting distinct spatial expression patterns within specific cell types. Celina utilizes a spatially varying coefficient model to accurately capture each gene's spatial expression pattern in relation to the distribution of cell types across tissue locations, ensuring effective type I error control and high power.
View Article and Find Full Text PDFClin Epigenetics
January 2025
Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.
Alcohol consumption is an important risk factor for multiple diseases. It is typically assessed via self-report, which is open to measurement error through recall bias. Instead, molecular data such as blood-based DNA methylation (DNAm) could be used to derive a more objective measure of alcohol consumption by incorporating information from cytosine-phosphate-guanine (CpG) sites known to be linked to the trait.
View Article and Find Full Text PDFAm J Pathol
January 2025
Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.
Alzheimer's disease (AD) is the most common type of dementia and one of the leading causes of death in elderly patients. The number of patients with AD in the United States is projected to double by 2060. Thus, understanding modifiable risk factors for AD is an urgent public health priority.
View Article and Find Full Text PDFNutrients
January 2025
Neuroepidemiology Department, The Cyprus Institute of Neurology and Genetics, Nicosia 2371, Cyprus.
Background/objectives: Dementia is not a single disease but an umbrella term that encompasses a range of symptoms, such as memory loss and cognitive impairments, which are severe enough to disrupt daily life. One of the most common forms of dementia is Alzheimer's Disease (AD), a complex neurodegenerative condition influenced by both genetic and environmental factors. Recent research has highlighted diet as a potential modifiable risk factor for AD.
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