Faculty Bibliography

BACKGROUND:Midkine is a heparin-binding growth factor that is overexpressed in most human malignancies, including breast cancer. While elevated midkine levels have been associated with tumor progression and aging, its role as a predictive biomarker for breast cancer risk in healthy individuals remains unclear. We previously showed that higher midkine expression in estrogen receptor-positive (ER +) breast cancer in younger (< 55) women is associated with shorter disease-free survival. We investigated whether serum midkine levels in premenopausal women are associated with subsequent risk of ER + breast cancer. METHODS:We conducted a prospective, nested case-control study within the New York University Women's Health Study (NYUWHS). Serum midkine levels were measured in baseline blood samples from 249 premenopausal women who developed ER + breast cancer more than 10 years after blood collection and 249 matched controls. Conditional logistic regression models were used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) across quartiles and continuous midkine levels, adjusting for key breast cancer risk factors. RESULTS:Higher circulating midkine levels were associated with a marginally statistically significant lower risk of ER + breast cancer. Compared to the lowest quartile, women in the highest quartile had an OR of 0.55 (95% CI: 0.30-0.99; P for trend = 0.10). A doubling in midkine was associated with a 34% reduction in risk (OR = 0.66; 95% CI: 0.42-1.02). The inverse association was generally consistent across subgroups. CONCLUSION/CONCLUSIONS:These findings suggest that higher baseline serum midkine levels in premenopausal women are associated with a reduced long-term risk of ER + breast cancer. This challenges prior assumptions about midkine's uniformly pro-tumorigenic role and suggests it may be a context-dependent biomarker in breast cancer development.

Obesity has been associated with non-Hodgkin lymphoma (NHL), but the evidence is inconclusive. We examined the association between genetically determined adiposity and four common NHL subtypes: diffuse large B-cell lymphoma (DLBCL), follicular lymphoma, chronic lymphocytic leukemia, and marginal zone lymphoma, using eight genome-wide association studies of European ancestry (N = 10,629 cases, 9505 controls) and constructing polygenic scores for body mass index (BMI), waist-to-hip ratio (WHR), and waist-to-hip ratio adjusted for BMI (WHRadjBMI). Higher genetically determined BMI was associated with an increased risk of DLBCL [odds ratio (OR) per standard deviation (SD) = 1.18, 95% confidence interval (95% CI): 1.05-1.33, p = .005]. This finding was consistent with Mendelian randomization analyses, which demonstrated a similar increased risk of DLBCL with higher genetically determined BMI (OR_{per SD} = 1.12, 95% CI: 1.02-1.23, p = .03). No significant associations were observed with other NHL subtypes. Our study demonstrates a positive link between a genetically determined BMI and an increased risk of DLBCL, providing additional support for increased adiposity as a risk factor for DLBCL.

BACKGROUND:The associations between different types of diabetes, characterized by distinct pathophysiology and genetic architecture, and pancreatic ductal adenocarcinoma (PDAC) risk are not understood. METHODS:We investigated associations of genetic susceptibility to type 2 diabetes (T2D), eight T2D mechanistic clusters, type 1 diabetes (T1D), and maturity-onset diabetes of the young (MODY) with PDAC risk. We used genome-wide association study (GWAS) summary-level statistics for T2D (242,283 cases, 1,569,734 controls), T1D (18,942 cases, 501,638 controls), and PDAC (10,244 cases and 360,535 controls) in individuals of European ancestry. RESULTS:Two-sample Mendelian randomization (MR) using the Robust Adjusted Profile Score (MR-RAPS) method indicated that genetically predicted T2D was associated with PDAC risk (OR = 1.10; 95% CI 1.05-1.15), particularly the T2D obesity (OR = 1.28; 95% CI 1.15-1.42) and lipodystrophy (OR = 1.25; 95% CI 1.03-1.51) clusters. No association was observed for T1D with PDAC risk (OR = 1.01; 95% CI 0.99-1.02). Pathway/gene-set analysis using the summary-based Adaptive Rank Truncated Product (sARTP) method revealed a significant association between the MODY gene-sets and PDAC risk (P = 1.5 × 10-8), which remained after excluding 20 known PDAC GWAS loci (P = 7.6 × 10-4). HNF1A, FOXA3, and HNF4A were the top contributing genes after excluding the previously identified GWAS loci regions. CONCLUSIONS:Our results from this genetic association study support that T2D, particularly the obesity and lipodystrophy mechanistic clusters, and MODY genomic susceptibility regions play a role in the etiology of PDAC.

BACKGROUND/UNASSIGNED:Studies have reported higher lung cancer incidence among groups with lower socioeconomic position (SEP). However, it is not known how this difference in lung cancer incidence between SEP groups varies across different geographical settings. Furthermore, most prior studies that assessed the association between SEP and lung cancer incidence were conducted without detailed adjustment for smoking. Therefore, we aimed to assess this relationship across world regions. METHODS/UNASSIGNED:In this international prospective cohort consortium study, we used data from the Lung Cancer Cohort Consortium (LC3), which includes 20 prospective population cohorts from 16 countries in North America, Europe, Asia, and Australia. Participants were enrolled between 1985 and 2010 and followed for cancer outcomes using registry linkages and/or active follow-up. We estimated hazard ratios (HRs) for the association between educational level (our primary measure of SEP, in 4 categories) and incident lung cancer using Cox proportional hazards models separately for participants with and without a smoking history. The models were adjusted for age, sex, cohort (when multiple cohorts were included), smoking duration, cigarettes per day, and time since cessation. FINDINGS/UNASSIGNED: = 0.75, 95% CI = 0.62-0.90). INTERPRETATION/UNASSIGNED:Based on longitudinal data from 2.5 million participants from 16 countries, our findings suggest that higher educational attainment was associated with lower lung cancer risk among participants with a smoking history, but not among participants who never smoked. Limitations of our study include that cohort participants cannot fully represent the general populations of the geographical regions included, and education was the only measure of SEP consistently available across our consortium. FUNDING/UNASSIGNED:This study was supported in part by the National Cancer Institute (NCI), the Lung Cancer Research Foundation (LCRF), and the World Cancer Research Fund (WCRF).

The collapse of the World Trade Center (WTC) buildings in New York City generated a large plume of dust and smoke. WTC dust contained human carcinogens including metals, asbestos, polycyclic aromatic hydrocarbons (PAHs), persistent organic pollutants (POPs, including polychlorinated biphenyls (PCBs) and dioxins), and benzene. Excess levels of many of these carcinogens have been detected in biological samples of WTC-exposed persons, for whom cancer risk is elevated. As confirmed in this structured literature review (n studies = 80), all carcinogens present in the settled WTC dust (metals, asbestos, benzene, PAHs, POPs) have previously been shown to be associated with DNA methylation dysregulation of key cancer-related genes and pathways. DNA methylation is, therefore, a likely molecular mechanism through which WTC exposures may influence the process of carcinogenesis.

BACKGROUND:Pancreatic cancer is a leading cause of cancer-related death globally. Risk factors for pancreatic cancer include common genetic variants and potentially heavy alcohol consumption. We assessed if genetic variants modify the association between heavy alcohol consumption and pancreatic cancer risk. METHODS:We conducted a genome-wide interaction analysis of single nucleotide polymorphisms (SNP) by heavy alcohol consumption (more than 3 drinks per day) for pancreatic cancer in European ancestry populations from genome-wide association studies (GWAS). Our analysis included 3,707 cases and 4,167 controls from case-control studies and 1,098 cases and 1,162 controls from cohort studies. Fixed effect meta-analyses were conducted. RESULTS:A potential novel region of association on 10p11.22, lead SNP rs7898449 (Pinteraction = 5.1 x 10-8 in the meta-analysis, Pinteraction = 2.1x10-9 in the case-control studies, Pinteraction = 0.91 cohort studies) was identified. A SNP correlated with this lead SNP is an eQTL for the NRP1 gene. Of the 17 genomic regions with genome-wide significant evidence of association with pancreatic cancer in prior studies, we observed suggestive evidence that heavy alcohol consumption modified the association for one SNP near LINC00673, rs11655237 on 17q25.1 (Pinteraction = 0.004). CONCLUSIONS:We identified a novel genomic region that may be associated with pancreatic cancer risk in conjunction with heavy alcohol consumption located near an eQTL for the NRP1, a protein that plays an important role in the development and progression of pancreatic cancer Impact: This work can provide insight into the etiology of pancreatic cancer particularly in heavy drinkers.

BACKGROUND/UNASSIGNED:Increased incidence of cancer has been reported among World Trade Center (WTC)-exposed persons. Aberrant DNA methylation is a hallmark of cancer development. To date, only a few small studies have investigated the relationship between WTC exposure and DNA methylation. The main objective of this study was to assess the DNA methylation profiles of WTC-exposed community members who remained cancer free and those who developed breast cancer. METHODS/UNASSIGNED:WTC-exposed women were selected from the WTC Environmental Health Center clinic, with peripheral blood collected during routine clinical monitoring visits. The reference group was selected from the NYU Women's Health Study, a prospective cohort study with blood samples collected before 9 November 2001. The Infinium MethylationEPIC array was used for global DNA methylation profiling, with adjustments for cell type composition and other confounders. Annotated probes were used for biological pathway and network analysis. RESULTS/UNASSIGNED:, and dysregulation of these genes contributes to cancer immune evasion. CONCLUSION/UNASSIGNED:WTC exposure likely impacts DNA methylation and may predispose exposed individuals toward cancer development, possibly through an immune-mediated mechanism.

OBJECTIVES/UNASSIGNED:The destruction of the World Trade Center (WTC) towers in New York City on September 11, 2001 (9/11), released approximately 1 million tons of pulverized particulate matter throughout southern Manhattan and areas in Brooklyn, exposing community members and responders to high levels of potentially toxic environmental particles. Asbestos exposure was a health concern because of its use in certain sections of the WTC towers. Malignant mesothelioma, originating from the lining cells (mesothelium) of the peritoneal and pleural cavities, is one complication associated with asbestos exposure. METHODS/UNASSIGNED:The WTC Environmental Health Center (WTC EHC) is a treatment and surveillance program for community members (Survivors) exposed to WTC dust and fumes. RESULTS/UNASSIGNED:In this report, we describe four cases of mesothelioma in the WTC EHC as of July 1st, 2023. Two of our patients have been diagnosed with peritoneal mesothelioma and two patients have been diagnosed with pleural mesothelioma. CONCLUSION/UNASSIGNED:Given the known delay in the development of mesotheliomas after asbestos exposure, we provide information on these early mesothelioma cases to enhance the understanding of the adverse health effects of WTC exposures on the local community.

BACKGROUND:We sought to develop a proteomics-based risk model for lung cancer and evaluate its risk-discriminatory performance in comparison with a smoking-based risk model (PLCOm2012) and a commercially available autoantibody biomarker test. METHODS:We designed a case-control study nested in 6 prospective cohorts, including 624 lung cancer participants who donated blood samples at most 3 years prior to lung cancer diagnosis and 624 smoking-matched cancer free participants who were assayed for 302 proteins. We used 470 case-control pairs from 4 cohorts to select proteins and train a protein-based risk model. We subsequently used 154 case-control pairs from 2 cohorts to compare the risk-discriminatory performance of the protein-based model with that of the Early Cancer Detection Test (EarlyCDT)-Lung and the PLCOm2012 model using receiver operating characteristics analysis and by estimating models' sensitivity. All tests were 2-sided. RESULTS:The area under the curve for the protein-based risk model in the validation sample was 0.75 (95% confidence interval [CI] = 0.70 to 0.81) compared with 0.64 (95% CI = 0.57 to 0.70) for the PLCOm2012 model (Pdifference = .001). The EarlyCDT-Lung had a sensitivity of 14% (95% CI = 8.2% to 19%) and a specificity of 86% (95% CI = 81% to 92%) for incident lung cancer. At the same specificity of 86%, the sensitivity for the protein-based risk model was estimated at 49% (95% CI = 41% to 57%) and 30% (95% CI = 23% to 37%) for the PLCOm2012 model. CONCLUSION/CONCLUSIONS:Circulating proteins showed promise in predicting incident lung cancer and outperformed a standard risk prediction model and the commercialized EarlyCDT-Lung.