Search

Background Cardiovascular disease (CVD) and cancer frequently co‐occur due to shared risk factors such as obesity, which is linked to CVD and 14 cancer types. This study explores whether CVD pathophysiologies, combined with obesity, increase cancer risk, impacting clinical management. Methods and Results Data from the ARIC (Atherosclerosis Risk in Communities) study, spanning 28 years, were analyzed. The cohort included 5127 participants with incident CVD (myocardial infarction, stroke, heart failure, coronary heart disease), of whom 1511 developed a first primary cancer. Follow‐up began at CVD diagnosis after Visit 1. Obesity was assessed using body mass index, waist circumference, and waist‐to‐hip ratio. Incidence rate differences between obesity groups were adjusted for age, sex, and center, whereas the obesity–cancer association was estimated using Fine‐Gray regression adjusted for shared risk factors including smoking. Cancer incidence in obese individuals with CVD (body mass index: rate differences=226.6/100 000 person‐years) was higher than in those with normal weight. Although obesity was not linked to overall cancer after adjusting for shared risk factors, it was nominally associated with obesity‐related cancers. Specifically, women with CVD and obesity had increased obesity‐related cancer risk (body mass index: hazard ratio, 1.67 [95% CI, 1.17–2.31]). No significant associations were found in men, even after excluding prostate cancer. Conclusions This study suggests that obesity is linked to higher obesity‐related cancer risk in women with incident CVD, independent of shared risk factors. Further research is needed to eliminate residual confounding, understand sex differences, and explore how CVD pathophysiologies and obesity together influence cancer risk.

Abstract Genome-wide association studies (GWAS) have identified more than 200 common genetic variants independently associated with colorectal cancer (CRC) risk, but the causal variants and target genes are mostly unknown. We sought to fine-map all known CRC risk loci using GWAS data from 100,204 cases and 154,587 controls of East Asian and European ancestry. Our stepwise conditional analyses revealed 238 independent association signals of CRC risk, each with a set of credible causal variants (CCVs), of which 28 signals had a single CCV. Our cis-eQTL/mQTL and colocalization analyses using colorectal tissue-specific transcriptome and methylome data separately from 1299 and 321 individuals, along with functional genomic investigation, uncovered 136 putative CRC susceptibility genes, including 56 genes not previously reported. Analyses of single-cell RNA-seq data from colorectal tissues revealed 17 putative CRC susceptibility genes with distinct expression patterns in specific cell types. Analyses of whole exome sequencing data provided additional support for several target genes identified in this study as CRC susceptibility genes. Enrichment analyses of the 136 genes uncover pathways not previously linked to CRC risk. Our study substantially expanded association signals for CRC and provided additional insight into the biological mechanisms underlying CRC development.

Summary: Background: Consumption of fibre, fruits and vegetables have been linked with lower colorectal cancer (CRC) risk. A genome-wide gene-environment (G × E) analysis was performed to test whether genetic variants modify these associations. Methods: A pooled sample of 45 studies including up to 69,734 participants (cases: 29,896; controls: 39,838) of European ancestry were included. To identify G × E interactions, we used the traditional 1--degree-of-freedom (DF) G × E test and to improve power a 2-step procedure and a 3DF joint test that investigates the association between a genetic variant and dietary exposure, CRC risk and G × E interaction simultaneously. Findings: The 3-DF joint test revealed two significant loci with p-value

BackgroundTelomeres are located at chromosomal termini and function to maintain genomic integrity. Telomere dysfunction is a well-recognized contributor to aging and age-related diseases, such as prostate cancer. Since telomere length is highly heritable, we postulate that stromal cell telomere length in the tissue of a particular solid organ may generally reflect constitutive stromal cell telomere length in other solid organs throughout the body. Even with telomere loss occurring with each round of cell replication, in general, telomere length in prostate stromal cells in mid-life would still be correlated with the telomere length in stromal cells in other organs. Thus, we hypothesize that prostate stromal cell telomere length and/or telomere length variability is a potential indicator of the likelihood of developing future solid cancers, beyond prostate cancer, and especially lethal cancer.MethodsTo explore this hypothesis, we conducted a cohort study analysis of 1,175 men who were surgically treated for prostate cancer and were followed for death, including from causes other than their prostate cancer.ResultsIn this cohort study with a median follow-up of 19 years, we observed that longer prostate stromal cell telomere length measured in tissue microarray spots containing prostate cancer was associated with an increased risk of death from other solid cancers. Variability in telomere length among these prostate stromal cells was possibly positively associated with risk of death from other solid cancers.ConclusionStudying the link between stromal cell telomere length and cancer mortality may be important for guiding the development of cancer interception and prevention strategies.