Inverse association between cancer and Alzheimer’s disease: results from the Framingham Heart Study

Objectives: To relate cancer since entry into the Framingham Heart Study with the risk of incident Alzheimer’s disease and to estimate the risk of incident cancer among participants with and without Alzheimer’s disease. Design: Community based prospective cohort study; nested age and sex matched case-control study. Setting: Framingham Heart Study, USA. Participants: 1278 participants with and without a history of cancer who were aged 65 or more and free of dementia at baseline (1986-90). Main outcome measures Hazard ratios and 95% confidence intervals for the risks of Alzheimer’s disease and cancer. Results: Over a mean follow-up of 10 years, 221 cases of probable Alzheimer’s disease were diagnosed. Cancer survivors had a lower risk of probable Alzheimer’s disease (hazard ratio 0.67, 95% confidence interval 0.47 to 0.97), adjusted for age, sex, and smoking. The risk was lower among survivors of smoking related cancers (0.26, 0.08 to 0.82) than among survivors of non-smoking related cancers (0.82, 0.57 to 1.19). In contrast with their decreased risk of Alzheimer’s disease, survivors of smoking related cancer had a substantially increased risk of stroke (2.18, 1.29 to 3.68). In the nested case-control analysis, participants with probable Alzheimer’s disease had a lower risk of subsequent cancer (0.39, 0.26 to 0.58) than reference participants, as did participants with any Alzheimer’s disease (0.38) and any dementia (0.44). Conclusions: Cancer survivors had a lower risk of Alzheimer’s disease than those without cancer, and patients with Alzheimer’s disease had a lower risk of incident cancer. The risk of Alzheimer’s disease was lowest in survivors of smoking related cancers, and was not primarily explained by survival bias. This pattern for cancer is similar to that seen in Parkinson’s disease and suggests an inverse association between cancer and neurodegeneration

Guide to Evaluating Collective Impact: Learning and Evaluation in the Collective Impact Context

As collective impact has gained traction across the globe, demand has grown for an effective approach to evaluating collective impact initiatives that meets the needs of various interested parties. Collective impact practitioners seek timely, high-quality data that enables reflection and informs strategic and tactical decision making. Funders and other supporters require an approach to performance measurement and evaluation that can offer evidence of progress toward the initiative's goals at different points along the collective impact journey. This three-part report responds to these needs by offering practitioners, funders, and evaluators a way to think about, plan for, and implement different performance measurement and evaluation activities

Guide to Evaluating Collective Impact Supplement: Sample Questions, Outcomes and Indicators

As collective impact has gained traction across the globe, demand has grown for an effective approach to evaluating collective impact initiatives that meets the needs of various interested parties. Collective impact practitioners seek timely, high-quality data that enables reflection and informs strategic and tactical decision making. Funders and other supporters require an approach to performance measurement and evaluation that can offer evidence of progress toward the initiative's goals at different points along the collective impact journey. This three part series responds to these needs by offering practitioners, funders, and evaluators a way to think about, plan for, and implement different performance measurement and evaluation activities

Guide to Evaluating Collective Impact: Assessing Progress and Impact

As collective impact has gained traction across the globe, demand has grown for an effective approach to evaluating collective impact initiatives that meets the needs of various interested parties. Collective impact practitioners seek timely, high-quality data that enables reflection and informs strategic and tactical decision making. Funders and other supporters require an approach to performance measurement and evaluation that can offer evidence of progress toward the initiative's goals at different points along the collective impact journey. This three part series responds to these needs by offering practitioners, funders, and evaluators a way to think about, plan for, and implement different performance measurement and evaluation activities

A common haplotype lowers PU.1 expression in myeloid cells and delays onset of Alzheimer's disease

A genome-wide survival analysis of 14,406 Alzheimer's disease (AD) cases and 25,849 controls identified eight previously reported AD risk loci and 14 novel loci associated with age at onset. Linkage disequilibrium score regression of 220 cell types implicated the regulation of myeloid gene expression in AD risk. The minor allele of rs1057233 (G), within the previously reported CELF1 AD risk locus, showed association with delayed AD onset and lower expression of SPI1 in monocytes and macrophages. SPI1 encodes PU.1, a transcription factor critical for myeloid cell development and function. AD heritability was enriched within the PU.1 cistrome, implicating a myeloid PU.1 target gene network in AD. Finally, experimentally altered PU.1 levels affected the expression of mouse orthologs of many AD risk genes and the phagocytic activity of mouse microglial cells. Our results suggest that lower SPI1 expression reduces AD risk by regulating myeloid gene expression and cell function

Attitudes Toward Genetics and Genetic Testing Among Participants in the Jackson and Framingham Heart Studies

Genetic analysis has become integral to many large cohort studies. However, little is known about longitudinal cohort study participants' attitudes toward genetics and genetic testing. We analyzed data from a survey of participants in the Jackson Heart Study (n = 960), Framingham Heart Study (n = 955), and Framingham Heart Study-Omni Cohort (n = 160). Based on a three-question attitude scale, most participants had positive attitudes toward genetic testing (median score = 4.3-5/5). Participants were also asked to select words to describe their attitudes toward genetics. More respondents endorsed the positive words "hopeful" (60%-70%), "optimistic" (44%-64%), "enthusiastic" (35%-43%), or "excited" (28%-30%) than the negative words "cautious" (35%-38%), "concerned" (25%-55%), "worried" (6%-13%), "pessimistic" (2%-5%), or "horrified" (1%-5%). Characteristics associated with favorable attitudes were greater genetics knowledge, higher subjective numeracy, experience with genetic testing, less frequent religious attendance, and not being employed. These findings demonstrate variation in attitudes even among participants in long-standing cohort studies, indicating a need for ongoing participant engagement and education

A genome-wide association study of breast and prostate cancer in the NHLBI's Framingham Heart Study

BACKGROUND: Breast and prostate cancer are two commonly diagnosed cancers in the United States. Prior work suggests that cancer causing genes and cancer susceptibility genes can be identified. METHODS: We conducted a genome-wide association study (Affymetrix 100K SNP GeneChip) of cancer in the community-based Framingham Heart Study. We report on 2 cancer traits – prostate cancer and breast cancer – in up to 1335 participants from 330 families (54% women, mean entry age 33 years). Multivariable-adjusted residuals, computed using Cox proportional hazards models, were tested for association with qualifying SNPs (70, 987 autosomal SNPs with genotypic call rate ≥80%, minor allele frequency ≥10%, Hardy-Weinberg test p ≥ 0.001) using generalized estimating equations (GEE) models and family based association tests (FBAT). RESULTS: There were 58 women with breast cancer and 59 men with prostate cancer. No SNP associations attained genome-wide significance. The top SNP associations in GEE models for each trait were as follows: breast cancer, rs2075555, p = 8.0 × 10-8 in COL1A1; and prostate cancer, rs9311171, p = 1.75 × 10-6 in CTDSPL. In analysis of selected candidate cancer susceptibility genes, two MSR1 SNPs (rs9325782, GEE p = 0.008 and rs2410373, FBAT p = 0.021) were associated with prostate cancer and three ERBB4 SNPs (rs905883 GEE p = 0.0002, rs7564590 GEE p = 0.003, rs7558615 GEE p = 0.0078) were associated with breast cancer. The previously reported risk SNP for prostate cancer, rs1447295, was not included on the 100K chip. Results of cancer phenotype-genotype associations for all autosomal SNPs are web posted at. CONCLUSION: Although no association attained genome-wide significance, several interesting associations emerged for breast and prostate cancer. These findings can serve as a resource for replication in other populations to identify novel biologic pathways contributing to cancer susceptibility.National Heart, Lung, and Blood Institute's Framingham Heart Study (N01-HC-25195); National Institutes of Health National Center for Research Resources Shared Instrumentation grant (1S10RR163736-01A1

Cardiovascular Risk Factors Are Associated With Future Cancer

BACKGROUND The extent to which co-occurrence of cardiovascular disease (CVD) and cancer is due to shared risk factors or other mechanisms is unknown. OBJECTIVES This study investigated the association of standard CVD risk factors, CVD biomarkers, pre-existing CVD, and ideal cardiovascular (CV) health metrics with the development of future cancer. METHODS This study prospectively followed Framingham Heart Study and PREVEND (Prevention of Renal and Vascular End-Stage Disease) study participants free of cancer at baseline and ascertained histology-proven cancer. This study assessed the association of baseline CV risk factors, 10-year atherosclerotic (ASCVD) risk score, established CVD biomarkers, prevalent CVD, and the American Heart Association (AHA) Life's Simple 7 CV health score with incident cancer using multivariable Cox models. Analyses of interim CVD events with incident cancer used time-dependent covariates. RESULTS Among 20,305 participants (mean age 50 +/- 14 years; 54% women), 2,548 incident cancer cases occurred over a median follow-up of 15.0 years (quartile 1 to 3: 13.3 to 15.0 years). Traditional CVD risk factors, including age, sex, and smoking status, were independently associated with cancer (p < 0.001 for all). Estimated 10-year ASCVD risk was also associated with future cancer (hazard ratio [HR]: 1.16 per 5% increase in risk; 95% confidence interval [CI] 1.14 to 1.17; p < 0.001). The study found that natriuretic peptides (tertile 3 vs. tertite 1; HR: 1.40; 95% 0:1.03 to 1.91; p 0.035) were associated with incident cancer but not high-sensitivity troponin (p 0.47). Prevalent CVD and the development of interim CV events were not associated with higher risk of subsequent cancer. However, ideal CV health was associated with tower future cancer risk (HR: 0.95 per 1-point increase in the AHA health score; 95% CI: 0.92 to 0.99; p = 0.009). CONCLUSIONS CVD risk, as captured by traditional CVD risk factors, 10-year ASCVD risk score, and natriuretic peptide concentrations are associated with increased risk of future cancer. Conversely, a heart healthy lifestyle is associated with a lower risk of future cancer. These data suggest that the association between CVD and future cancer is attributable to shared risk factors. (C) 2021 The Authors. Published by Elsevier on behalf of the American College of Cardiology Foundation

Cardiovascular disease related circulating biomarkers and cancer incidence and mortality:is there an association?

Aims Recent studies suggest an association between cardiovascular disease (CVD) and cancer incidence/mortality, but the pathophysiological mechanisms underlying these associations are unclear. We aimed to examine biomarkers previously associated with CVD and study their association with incident cancer and cancer-related death in a prospective cohort study. Methods and results We used a proteomic platform to measure 71 cardiovascular biomarkers among 5032 participants in the Framingham Heart Study who were free of cancer at baseline. We used multivariable-adjusted Cox models to examine the association of circulating protein biomarkers with risk of cancer incidence and mortality. To account for multiple testing, we set a 2-sided false discovery rat