Abstract Pancreatic cancer disproportionately affects Black individuals in the United States, but they have limited representation in genetic studies of pancreatic ductal adenocarcinoma (PDAC). To address this gap, we performed admixture mapping and genome-wide association analysis (GWAS) in genetically inferred African ancestry individuals (1,030 cases and 889 controls). Admixture mapping identified three regions with a significantly higher proportion of African ancestry in cases compared to controls (5q33.3, 10p1, 22q12.3). GWAS identified a genome-wide significant association at 5p15.33 ( CLPTM1L , rs383009:T>C, T Allele Frequency=0.51, OR:1.45, P value=1.24×10 -8 ), a locus previously associated with PDAC. Known loci at 5p15.33, 7q32.3, 8q24.21 and 7q25.1 also replicated (P value <0.01). Multi-ancestral fine-mapping identified two potential causal SNPs (rs3830069 and rs2735940) at 5p15.33. Collectively these findings identified novel PDAC risk loci and expanded our understanding of this deadly cancer in underrepresented populations, emphasizing the multifactorial nature of PDAC risk including inherited genetic and non-genetic factors. Statement of Significance To understand how genetic variation contributes to PDAC risk in Black people in North American, we studied individuals of genetically-inferred African ancestry. We identified novel risk loci and differences in the contribution of known loci. This demonstrates that ancestry-informed genetic analyses improve our understanding of PDAC risk and enhances discovery.
Individual response to lifestyle interventions: a pooled analysis of three long-term weight loss trials
European Journal of Preventive Cardiology | May 21, 2025 | Volume: 32 | Issue: 16 | Pages: 1660-1670
Abstract Aims We explored the manifestations of individual weight loss (WL) response to long-term lifestyle interventions on cardiometabolic risk. Methods and results We pooled data from three large long-term lifestyle WL-intervention trials: 24-month DIRECT (ClinicalTrials.gov: NCT00160108; n = 322; 87% adherence), 18-month CENTRAL (ClinicalTrials.gov: NCT01530724; n = 278; 86% adherence), and 18-month DIRECT PLUS (ClinicalTrials.gov: NCT03020186; n = 294; 89% adherence). We analyzed longitudinal changes in cardiometabolic risk markers, including anthropometrics, blood biomarkers, and magnetic-resonance-imaging-assessed fat depots, and measured DNA-methylation, proteomics, and metabolomics. Among trial completers (n = 761, mean age = 50.4 years; 89% men, baseline body-mass-index = 30.1 kg/m2), mean WL was −3.3 kg (−3.5%). We classified participants as Successful-WL (36%) with relative-WL > 5%, WL-Resistant (28%) who did not lose or gained weight, and Moderate-WL (36%) with WL between 0% and 5%. Successful-WL achieved the greatest improvements in multiple health indicators. However, the WL-Resistant also showed some significant improvements, with increased high-density-lipoprotein-cholesterol (HDLc) and decreased leptin and visceral fat (P < 0.05 vs. baseline). Overall, each 1 kg sustained lifestyle-induced WL was associated with improvements in lipid markers and insulin resistance [HDLc (+1.44%), triglycerides (−1.37%), insulin (−2.46%), HOMA-IR (−2.71%), leptin (−2.79%)] and intrahepatic-fat regression (−0.49 absolute-units)] and modest but significant change in systolic and diastolic blood pressures (−0.26% and −0.36%). We identified 12 significant methylation sites that are associated with Successful-WL (FDR < 0.05; AUC = 0.73). Conclusion While only ∼one-third of individuals achieved long-term WL, the Moderate-WL and WL-Resistant individuals could benefit improvements in visceral adiposity and cardiometabolic risk by shifting towards a healthy lifestyle pattern, beyond WL. Site-specific DNA methylation may predict an individual's likelihood of successful WL. Registration NCT00160108, NCT01530724, NCT03020186.
The effect of Mankai plant consumption on postprandial glycaemic response among patients with type 2 diabetes: A randomized crossover trial
Diabetes, Obesity and Metabolism | August 12, 2024 | Volume: 26 | Issue: 10 | Pages: 4713-4723
Abstract Aim To explore the effect of Mankai, a cultivated aquatic duckweed green plant, on postprandial glucose (PG) excursions in type 2 diabetes (T2D). Methods In a 4‐week, randomized crossover‐controlled trial, we enrolled 45 adults with T2D (HbA1c range: 6.5%‐8.5%) from two sites in Israel. Participants were randomized to drink Mankai (200 mL of raw‐fresh‐aquatic plant + 100 mL of water, 40 kcal, ~10 g of dry matter equivalent) or water (300 mL) following dinner, for 2 weeks each, with a 4‐day washout interval, without dietary, physical activity or pharmacotherapy alterations. We used continuous glucose monitoring (CGM) devices. Results Forty patients (adherence rate = 88.5%; 743 person‐intervention‐days, 68.9% men, age = 64 years, HbA1c = 6.8%) completed the study with a consistent diet and complete CGM reads. Only two‐thirds of the individuals responded beneficially to Mankai. Overall, Mankai significantly lowered the PG peak by 19.3% (∆peak = 24.3 ± 16.8 vs. 30.1 ± 18.5 mg/dL; P < .001) and delayed the time‐to‐peak by 20.0% (112.5 [interquartile range: 75‐135] vs. 90 [60‐105] min; P < .001) compared with water. The PG incline and decline slopes were shallower following postdinner Mankai (incline slope: 16.8 vs. water: 29.9 mg/[dL h]; P < .001; decline slope: −6.1 vs. water: −7.9 mg/[dL h]; P < .01). Mean postprandial net incremental area‐under‐the‐glucose‐curve was lowered by 20.1% with Mankai compared with water ( P = .03). Results were consistent across several sensitivity and subgroup analyses, including across antidiabetic pharmacotherapy treatment groups. Within 2 weeks, the triglycerides/high‐density lipoprotein cholesterol ratio in the Mankai group (−0.5 ± 1.3) decreased versus water (+0.3 ± 1.5, P = .05). Conclusions Mankai consumption may mitigate the PG response in people with T2D with an ~20% improvement in glycaemic values. These findings provide case‐study evidence for plant‐based treatments in T2D to complement a healthy lifestyle and pharmacotherapy.
Tumor protein expression of BRCA1 and development of lethal prostate cancer.
Journal of Clinical Oncology | February 19, 2020 | Volume: 38 | Issue: 6_suppl | Pages: 65-65
65 Background: DNA repair genes including BRCA1 are commonly altered in metastatic prostate tumors. However, mutations and copy number aberrations in these genes are rare in primary tumors. Instead, preliminary studies suggest that higher tumor expression of the BRCA1 protein may be associated with worse prognosis. Methods: We undertook a prospective study of tumor BRCA1 protein expression and lethal prostate cancer among men with clinically localized prostate cancer in the Health Professionals Follow-up Study. We performed immunohistochemical staining for BRCA1 on tumor tissue microarrays using a validated antibody and scored expression as positive or negative. We also assessed tumor proliferation by immunostaining for Ki67, angiogenesis by immunostaining for CD34, and apoptosis using a TUNEL assay. Proportional hazards regression was used to evaluate the association between BRCA1 protein expression and development of lethal prostate cancer (metastasis or cancer-specific death). Results: Ten percent of tumors (60 of 589) stained positive for the BRCA1 protein. BRCA1-positive tumors were characterized by higher Gleason scores, a higher proliferative index, and a higher apoptotic index. During a median follow-up of 14.3 years, 18 men (34%) in the BRCA1-positive group and 74 men (14%) in the BRCA1-negative group developed lethal prostate cancer. There was a strong positive association between BRCA1 protein expression and lethal prostate cancer in both unadjusted analyses (HR 2.71, 95% CI 1.73–4.26) and after adjusting for clinical factors (HR 2.00, 95% CI 1.26–3.18). The positive association with BRCA1 protein expression was also independent of proliferation index. Conclusions: Primary prostate tumors expressing the BRCA1 protein have a highly proliferative phenotype and are more likely to progress to lethal disease, independent of its higher proliferative index. Assessing tumor protein expression of BRCA1 may help elucidate the Janus-faced role of DNA repair pathways in prostate cancer progression.[Table: see text]
Abstract A015: Molecular tumor profiling to identify mechanisms linking statin use with lower risk of lethal prostate cancer: Results from the Health Professionals Follow-up Study
Cancer Research | February 4, 2019 | Volume: 78 | Issue: 16_Supplement | Pages: A015-A015
Abstract Introduction: Epidemiologic data support an inverse association between statin use and risk of lethal prostate cancer, but contributing mechanisms have not been elucidated. Herein, using data from the Health Professionals Follow-up Study (HPFS), we updated our previous analysis of statins and lethal prostate cancer with a decade of additional follow-up, and incorporated immunohistochemistry (IHC)-based biomarkers and gene expression profiling to identify putative molecular mechanisms contributing to the association. Methods: We included data from 44,076 HPFS participants who were cancer free in 1990, with follow-up through 2012. Participants reported prediagnostic statin use on biennial questionnaires. Statin use was categorized as current vs. never/past use, with current users further categorized as long-term vs. short-term users (≥6 vs. <6 years). To classify prostate cancer molecular subtypes, genetically validated IHC assays for TMPRSS2:ERG fusion and PTEN loss were conducted on tissue microarrays for 891 and 660 cases, respectively. Whole-genome mRNA profiling of tumor and adjacent normal tissue was completed for 237 and 114 cases, respectively, using Affymetrix GeneChip Human Gene 1.0 ST arrays. We used Cox proportional hazards analysis to generate hazard ratios (HR) and 95% confidence intervals (CI) for associations between statin use and risk of overall, advanced (stage T3b or higher at diagnosis, metastatic or fatal), and lethal (metastatic or fatal) prostate cancer, as well as molecular subtypes, adjusted for PSA testing behavior and potential confounders including obesity and smoking. Moreover, we explored gene expression pathways in tumor and adjacent normal prostate tissue of statin users vs. nonusers using gene set enrichment analysis (GSEA). Results: During 22 years of follow-up, 6,144 men were diagnosed with prostate cancer; 1,051 (17%) had advanced disease and 827 (13%) developed lethal prostate cancer. Of cases with molecular subtype available, 48% were ERG-positive and 14% PTEN-null. In multivariable analysis, relative to never/past use, current statin use was inversely associated with risk of advanced (HR 0.84; 95% CI 0.68-1.04) and lethal (HR 0.78; 95% CI 0.68-1.01) prostate cancer. These associations were more pronounced in long-term users, where ≥6 years of prediagnosis statin use was significantly associated with a lower risk of advanced (HR 0.72; 95% CI 0.53-0.97) and lethal prostate cancer (HR 0.64; 95% CI 0.45-0.92), relative to nonuse. Long-term statin use was not associated with overall prostate cancer risk, whether ERG-positive (HR 0.89; 95% CI 0.59-1.35) or ERG-negative (HR 1.06; 95% CI 0.74-1.50). However, relative to nonuse, a longer duration of prediagnosis statin use was associated with reduced risk of PTEN-null cancers (HR 0.42; 95% CI 0.20-0.90), but not PTEN-intact disease (HR 1.18; 95% CI 0.95-1.46; p-heterogeneity=0.01). In GSEA, we identified T cell, B cell, and phosphatidylinositol (PI3K) signaling among the top pathways enriched in tumor-adjacent normal prostate tissue of current statin users, relative to never users. Intriguingly, no gene sets were differentially expressed by statin use in the tumor. Discussion: Our updated findings from the HPFS are consistent with our prior findings and other epidemiologic data supporting a role for statins in lethal prostate cancer prevention. Molecular classification of tumors identified PTEN/PI3K signaling and inflammation/immune activation as two potential mechanisms contributing to this association. Elucidating molecular mechanisms mediating the association between statin use and lower risk of lethal prostate cancer will provide support for a causal effect of statins on lethal prostate cancer risk and could inform statin clinical trials with appropriate intermediate endpoints. Citation Format: Emma H. Allott, Ericka M. Ebot, Amparo G. Gonzalez-Feliciano, Sarah C. Markt, Kathryn M. Wilson, Thomas U. Ahearn, Travis A. Gerke, Mary K. Downer, Konrad H. Stopsack, Jennifer R. Rider, Stephen J. Freedland, Elizabeth A. Platz, Meir J. Stampfer, Edward L. Giovannucci, Christopher J. Sweeney, Stephen P. Finn, Lorelei A. Mucci. Molecular tumor profiling to identify mechanisms linking statin use with lower risk of lethal prostate cancer: Results from the Health Professionals Follow-up Study [abstract]. In: Proceedings of the AACR Special Conference: Prostate Cancer: Advances in Basic, Translational, and Clinical Research; 2017 Dec 2-5; Orlando, Florida. Philadelphia (PA): AACR; Cancer Res 2018;78(16 Suppl):Abstract nr A015.
Genetic Data from Nearly 63,000 Women of European Descent Predicts DNA Methylation Biomarkers and Epithelial Ovarian Cancer Risk
Cancer Research | December 17, 2018 | Volume: 79 | Issue: 3 | Pages: 505-517
Abstract DNA methylation is instrumental for gene regulation. Global changes in the epigenetic landscape have been recognized as a hallmark of cancer. However, the role of DNA methylation in epithelial ovarian cancer (EOC) remains unclear. In this study, high-density genetic and DNA methylation data in white blood cells from the Framingham Heart Study (N = 1,595) were used to build genetic models to predict DNA methylation levels. These prediction models were then applied to the summary statistics of a genome-wide association study (GWAS) of ovarian cancer including 22,406 EOC cases and 40,941 controls to investigate genetically predicted DNA methylation levels in association with EOC risk. Among 62,938 CpG sites investigated, genetically predicted methylation levels at 89 CpG were significantly associated with EOC risk at a Bonferroni-corrected threshold of P < 7.94 × 10−7. Of them, 87 were located at GWAS-identified EOC susceptibility regions and two resided in a genomic region not previously reported to be associated with EOC risk. Integrative analyses of genetic, methylation, and gene expression data identified consistent directions of associations across 12 CpG, five genes, and EOC risk, suggesting that methylation at these 12 CpG may influence EOC risk by regulating expression of these five genes, namely MAPT, HOXB3, ABHD8, ARHGAP27, and SKAP1. We identified novel DNA methylation markers associated with EOC risk and propose that methylation at multiple CpG may affect EOC risk via regulation of gene expression. Significance: Identification of novel DNA methylation markers associated with EOC risk suggests that methylation at multiple CpG may affect EOC risk through regulation of gene expression.
Sex-specific gene and pathway modeling of inherited glioma risk
Background The rarity of mutations in PALB2, CHEK2 and ATM make it difficult to estimate precisely associated cancer risks. Population-based family studies have provided evidence that at least some of these mutations are associated with breast cancer risk as high as those associated with rare BRCA2 mutations. We aimed to estimate the relative risks associated with specific rare variants in PALB2, CHEK2 and ATM via a multicentre case-control study. Methods We genotyped 10 rare mutations using the custom iCOGS array: PALB2 c.1592delT, c.2816T>G and c.3113G>A, CHEK2 c.349A>G, c.538C>T, c.715G>A, c.1036C>T, c.1312G>T, and c.1343T>G and ATM c.7271T>G. We assessed associations with breast cancer risk (42 671 cases and 42 164 controls), as well as prostate (22 301 cases and 22 320 controls) and ovarian (14 542 cases and 23 491 controls) cancer risk, for each variant. Results For European women, strong evidence of association with breast cancer risk was observed for PALB2 c.1592delT OR 3.44 (95% CI 1.39 to 8.52, p=7.1×10−5), PALB2 c.3113G>A OR 4.21 (95% CI 1.84 to 9.60, p=6.9×10−8) and ATM c.7271T>G OR 11.0 (95% CI 1.42 to 85.7, p=0.0012). We also found evidence of association with breast cancer risk for three variants in CHEK2, c.349A>G OR 2.26 (95% CI 1.29 to 3.95), c.1036C>T OR 5.06 (95% CI 1.09 to 23.5) and c.538C>T OR 1.33 (95% CI 1.05 to 1.67) (p≤0.017). Evidence for prostate cancer risk was observed for CHEK2 c.1343T>G OR 3.03 (95% CI 1.53 to 6.03, p=0.0006) for African men and CHEK2 c.1312G>T OR 2.21 (95% CI 1.06 to 4.63, p=0.030) for European men. No evidence of association with ovarian cancer was found for any of these variants. Conclusions This report adds to accumulating evidence that at least some variants in these genes are associated with an increased risk of breast cancer that is clinically important.
Cross-Cancer Genome-Wide Analysis of Lung, Ovary, Breast, Prostate, and Colorectal Cancer Reveals Novel Pleiotropic Associations
Cancer Research | April 21, 2016 | Volume: 76 | Issue: 17 | Pages: 5103-5114