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Idiopathic pulmonary fibrosis (IPF) is a chronic inflammatory disorder which leads to progressive fibrosis and lung failure within 2-5 years1,2. Approximately 30% of IPF patients develop Chronic Kidney Disease (CKD) with renal dysfunction and fibrosis3. The treatment options for IPF are still limited and the disease is an unmet clinical need. The only animal model for IPF is represented by mice treated with bleomycin, a compound used for chemotherapy which has lung toxicity as its major adverse effect, that develop progressive fibrosis. Recent data indicate that bleomycin triggers lung fibrosis by increasing the release of the pro-inflammatory cytokine TGF-β by the resident megakaryocytes (MK)4. Using these observations as foundation, we investigated whetherGata1lowmice, a model for myelofibrosis induced by a TGF-β/P-selectin (P-sel) circuitry established by the abnormal MK5, includes fibrosis in lungs and kidney and whether these traits are rescued by genetic ablation (P-selnullmutation) and antibody neutralization (by RB40.34) of P-sel. MK were observed in lungs from wild-type (WT, n=9),Gata1low(n=22),P-selnull(n=4) andP-selnullGata1low(n=10) littermates. In frequency, MK were significantly lower inGata1low andP-selnullGata1lowthan in WT andP-selnulllittermates (median=1.3-1.5 vs 3-3.7/0.144mm2, p<0.003) and mostly immature. In addition, lungs and kidney fromGata1low mice, but not those from the other experimental groups, contained great levels of TGF- β (Fig.1). Interstitial pneumonia was observed in lungs from WT (n=12, age=3-13 months, males=8, females=4),P-selnull(n=9, age=3-16 months, males=4, females=5),Gata1low(n=29, age=2-24 months, males=16, females=13) andGata1lowP-selnull(n=18, age=3-16 months, males=7, females=11) mice while nephritis was observed only in kidneys fromGata1low mice. Controlling for the effects of sex, there are statistically significant differences in severity of inflammation in kidney (p=0.001) but not in lungs (p=0.86) betweenGata1low and WT mice. These results indicate that lung inflammation is a baseline condition of the CD1 background used for the study while kidney inflammation is a trait exclusive toGata1low mutants independently from their gender. Great levels of fibrosis were observed in lungs and kidney fromGata1low mice but not in those from WT littermates. There are statistically significant differences in lung (p=0.01) and kidney (p<0.001) fibrosis between the two groups; these differences remained after adjusting for age or sex. By contrast, there is insufficient evidence to conclude there exists a relationship between age and fibrosis grade in the other experimental groups. Age was found to be a statistically significant effect modifier on the relationship between genotype and fibrosis in lung (p=0.024) and kidney (0.004). In addition, although there is insufficient evidence for a relationship between sex and fibrosis grade in lung (p=0.62), there is a statistically significant effect of gender in kidney fibrosis inGata1low mice (p<0.001). These results indicate that fibrosis in lung and nephritis and fibrosis in kidney are novel traits ofGata1low mice developed independently from the underlying state of inflammation and which are rescued by ablation ofP-sel. To further clarify the role of P-sel in lung and kidney fibrosis, 14Gata1lowmice (7 males, 7 females) were treated with either vehicle (8 mice) or RB40.34 (30 μg/mouse/day per 3 days/week by tail vein injection as described6). Mice were sacrificed on day 5 (males) and 12 (females) and histopathology, inflammation, fibrosis and TGF-β content in lungs and kidney analyzed. Treatment with RB40.34 restored the morphology and reduced inflammation, fibrosis and TGF-β content in the lungs and in kidney with respect to vehicle (Fig.1). In conclusion, Gata1low mice are a novel animal model for IPF with CKD. The phenotype is associated with highTGF-βcontent in lung and kidney and is rescued by targeting P-sel, suggesting that treatment with antibodies against P-sel may cure IPF in man. REF: 1Richeldi et al.Lancet389: 1941, 2017; 2Hutchinson et al.EurRespirJ46, 795, 2015; 3Ikezoeet al.Respiration94: 346, 2017; 4Zhouet al.CellDeathDis10:648, 2019: 5Spangrudeet al.StemCells34: 67, 2016; 6Emburyet al.Blood104: 3378, 2004. Disclosures Migliaccio: Novartis:Research Funding.

Introduction Essential thrombocythemia (ET) and polycythemia vera (PV) patients suffer from various symptoms that worsen quality of life (QOL), yet serial data on symptom changes resulting from therapy are sparse in the literature. Patient questionnaires from 2 large multicenter trials (MPN-RC 111, 112) were used to assess change in symptom burden and QOL over 12 months and impact of baseline symptom burden on subsequent change in ET / PV patients on hydroxyurea (HU) or pegylated interferon alfa-2a (PEG). Methods Trials MPN-RC 111 was a single-arm, open-label, phase II trial evaluating response to PEG in high-risk ET / PV patients with HU resistance/intolerance or splanchnic vein thrombosis (SVT; NCT01259817). MPN-RC 112 was a randomized, open-label, phase III trial comparing response to PEG versus HU in cytoreductive therapy naïve high-risk ET / PV patients diagnosed < 5 years ago (NCT01258856). Measures Patients reported disease-related symptoms via the validated Myeloproliferative Neoplasms Symptom Assessment Form (MPN-SAF), QOL via the European Organisation for the Research and Treatment of Cancer Core QOL Questionnaire (EORTC QLQ-C30), and (if applicable) PEG-related symptoms (flu-like symptoms, injection site irritation, blurry vision, vision change, flushing) at baseline, 3, 6, 9, and 12 months. Analysis Mixed models assessed mean changes from baseline in the MPN-SAF Total Symptom Score (TSS), MPN-SAF items, QOL, and PEG-related symptoms in MPN-RC 111, 112 PEG, and 112 HU patients. Mixed models also assessed the impact of baseline symptom burden (high [TSS ≥ 20] versus low) on subsequent change in PEG (MPN-RC 111 and 112) and HU patients. Results Patients Of the 135 enrolled MPN-RC 111 patients, 20 with SVT and 1 with no questionnaires were excluded. Of the remaining 114, 64 (56%) / 50 (44%) had ET / PV. Patients were 51% / 48% female. Median age was 65 / 64 years, and median time since diagnosis was 38 / 55 months. 31% / 22% had prior thrombosis, and 19% / 56% had splenomegaly. Of the 168 enrolled MPN-RC 112 patients (82 PEG, 86 HU), 2 with no questionnaires were excluded. Of the remaining 166, 79 (48%) / 87 (52%) had ET / PV. Patients were 50% / 33% female. Median age was 60 / 62 years, and median time since diagnosis was 3 / 3 months. 25% / 29% had prior thrombosis, and 11% / 37% had splenomegaly. Symptoms Questionnaire completion rates ranged from 90 - 99%, 87 - 100%, and 75 - 96% for on-treatment MPN-RC 111, 112 PEG, and 112 HU patients. At baseline, TSS (0 [absent] - 100 [worst imaginable]) and QOL (0 [very poor] - 100 [excellent]) means (SDs) were 19.5 (18.4) and 71.6 (20.1) for MPN-RC 111, 17.0 (13.6) and 67.9 (24.3) for MPN-RC 112 PEG, and 14.6 (11.4) and 73.8 (18.8) for MPN-RC 112 HU patients. On average, MPN-RC 111 patients had significant improvement of TSS, fatigue, abdominal pain, abdominal discomfort, dizziness, numbness, night sweats, and fever; MPN-RC 112 PEG patients had significant worsening of fever; and MPN-RC 112 HU patients had significant worsening of inactivity (no mean changes indicating improvement were observed). PEG patients had significant worsening of PEG-related symptoms. The greatest improvements occurred in the 46 (40%), 27 (33%), and 23 (28%) MPN-RC 111, 112 PEG, and 112 HU patients with high baseline symptom burden. On average, PEG patients with high baseline symptom burden had significant improvement of TSS, fatigue, early satiety, abdominal pain, abdominal discomfort, inactivity, headache, concentration, dizziness, numbness, insomnia, cough, night sweats, itching, bone pain, fever, weight loss, and QOL, while those with low baseline symptom burden had significant worsening of TSS, early satiety, headache, itching, and bone pain. On average, HU patients with high baseline symptom burden had significant improvement of TSS, early satiety, abdominal discomfort, headache, dizziness, numbness, insomnia, itching, and weight loss, while those with low baseline symptom burden had significant worsening of TSS, early satiety, abdominal discomfort, inactivity, concentration, and sexual desire/function (Figures 1 and 2). Conclusions Although no statistical comparisons were made across trials, overall improvements were seen in MPN-RC 111 but not 112. Patients with high baseline symptom burden experienced the greatest improvements in symptom burden and QOL during treatment with PEG or HU, which may explain the improvements seen in the more advanced patients in MPN-RC 111 compared to 112. Disclosures Mascarenhas: Celgene, Prelude, Galecto, Promedior, Geron, Constellation, and Incyte: Consultancy; Incyte, Kartos, Roche, Promedior, Merck, Merus, Arog, CTI Biopharma, Janssen, and PharmaEssentia: Other: Research funding (institution). Yacoub:Dynavax: Current equity holder in publicly-traded company; Ardelyx: Current equity holder in publicly-traded company; Cara Therapeutics: Current equity holder in publicly-traded company; Hylapharm: Current equity holder in private company; Incyte: Speakers Bureau; Agios: Honoraria, Speakers Bureau; Novartis: Speakers Bureau; Roche: Other: Support of parent study and funding of editorial support. Hoffman:Protagonist: Consultancy; Forbius: Consultancy; Novartis: Membership on an entity's Board of Directors or advisory committees; Abbvie: Membership on an entity's Board of Directors or advisory committees; Dompe: Research Funding. Silver:PharmaEssentia: Speakers Bureau. Mesa:Bristol Myers Squibb: Research Funding; Incyte: Research Funding; AbbVie: Research Funding; Samus Therapeutics: Research Funding; Genentech: Research Funding; CTI BioPharma: Research Funding; Promedior: Research Funding; Sierra Oncology: Consultancy; LaJolla Pharmaceutical Company: Consultancy; Novartis: Consultancy.

Background The COVID-19 pandemic continues to challenge effective treatment delivery to hematologically-compromised patients, including those with myeloproliferative neoplasms (MPNs). MPNs are characterized by clonal proliferation of hematopoietic cell lines in bone marrow. As such, increasing reports of COVID-19 related thrombotic events highlight how MPN patients are at an increased risk in navigating potential complications during this pandemic. Mitigation strategies to lesson MPN patient exposure to COVID-19 are vital. Though, such efforts come at an inherent cost to effective healthcare delivery. Restriction of regular in-clinic treatments and reported shortages of MPN pharmacotherapies present these patients with diminishing continued care. To understand how MPN patient care has been impacted by COVID-19, an internet-based questionnaire was deployed surveying a variety of disease and pandemic related items (reported elsewhere; Palmer J et al, ASH 2020 submitted). A single free-text response item instructed respondents to: "Please tell us anything else (bad or good) about how the COVID-19 outbreak has impacted your MPN care." This qualitative analysis evaluated first-hand comments directly from patients in order to form a richer understanding of how those with MPNs have been managing disease-related care amidst this pandemic. Methods This COVID-19 survey was hosted via Mayo Clinic's secured REDCap system for online surveys and posted on MPN organizational partner websites. Surveys were completely anonymous. The free-text responses describing impacts to MPN care were each independently reviewed by 2 individuals for overall sentiment (positive, negative, both, or neutral [no impact]) and categorized for themes. The 2 reviewers were assessed for agreement. Conflicting reviews were evaluated then adjudicated by an algorithm for cases meeting selected conditions or by lead author review for all remaining cases. Descriptive statistics are reported. Results Of the 1217 consenting adult patients participating in the overall COVID-19 study, 824 provided free-text responses. Of these, respondent MPN diagnoses included, essential thrombocythemia (n=324, 39%), polycythemia vera (n=251, 30%), myelofibrosis (n=153, 19%), and other/undisclosed (96, 12%); 69% (n=567) were female; median age was 63 (range 21-93); 38% (n=313) were from the US, 38% (n=313) UK, and 24% (n=198) other/unknown. There was 89% (n=734) sentiment agreement between reviewers. Free-text responses about the impact of COVID-19 on MPN care were 49% (n=400) negative, 21% (n=177) positive, 8% (n=65) both positive and negative, and 22% (n=182) neutral/no impact. Table 1 shows a selection of MPN patient free-text responses reflecting common negative and positive sentiment themes. Negative impact (n=400): The most common negative impact involved delays or cancellations of visits or perceived inaccessibility to regular providers (n=261, 65%). Primarily this sentiment was driven by lack of clinic availability and restrictions at treatment centers or by providers. However, some respondents reported delaying or canceling visits themselves due to fear of COVID-19 exposure. Perceived health consequences from this delay were also expressed. There were 129 (32%) respondents with concern regarding changes or access to medications, including explicit drug supply shortages. Some patients resorted to self-adjusting medications and reusing single-use supplies. General anxiety, stress, and isolation were also reported (n=98, 25%). Positive impact (n=177): Availability of telemedicine comprised the majority of positive impacts of the pandemic (n=95, 54%), with many noting the reduced travel time to visits. Routine local testing coupled with follow-up telemedicine was favorable. Despite general positivity towards telemedicine, some reported preferences for in-person visits; commenting that telemedicine was impersonal, difficult to schedule or receive virtual communication, and expressed concern for lack of spleen examinations during virtual visits. Conclusion Positive and negative aspects were reported including MPN-specific issues. Healthcare systems should use such data to emerge from the COVID-19 pandemic and retain the positive impacts such as telemedicine, while developing education materials and other resources to address the reported negative impacts where possible. Disclosures Mesa: CTI BioPharma: Research Funding; Promedior: Research Funding; Novartis: Consultancy; Sierra Oncology: Consultancy; Samus Therapeutics: Research Funding; Genentech: Research Funding; AbbVie: Research Funding; Incyte: Research Funding; LaJolla Pharmaceutical Company: Consultancy; Bristol Myers Squibb: Research Funding.

Abstract Background: Accumulating evidence suggests a relationship between endometrial cancer and ovarian cancer. Independent genome-wide association studies (GWAS) for endometrial cancer and ovarian cancer have identified 16 and 27 risk regions, respectively, four of which overlap between the two cancers. We aimed to identify joint endometrial and ovarian cancer risk loci by performing a meta-analysis of GWAS summary statistics from these two cancers. Methods: Using LDScore regression, we explored the genetic correlation between endometrial cancer and ovarian cancer. To identify loci associated with the risk of both cancers, we implemented a pipeline of statistical genetic analyses (i.e., inverse-variance meta-analysis, colocalization, and M-values) and performed analyses stratified by subtype. Candidate target genes were then prioritized using functional genomic data. Results: Genetic correlation analysis revealed significant genetic correlation between the two cancers (rG = 0.43, P = 2.66 × 10−5). We found seven loci associated with risk for both cancers (PBonferroni < 2.4 × 10−9). In addition, four novel subgenome-wide regions at 7p22.2, 7q22.1, 9p12, and 11q13.3 were identified (P < 5 × 10−7). Promoter-associated HiChIP chromatin loops from immortalized endometrium and ovarian cell lines and expression quantitative trait loci data highlighted candidate target genes for further investigation. Conclusions: Using cross-cancer GWAS meta-analysis, we have identified several joint endometrial and ovarian cancer risk loci and candidate target genes for future functional analysis. Impact: Our research highlights the shared genetic relationship between endometrial cancer and ovarian cancer. Further studies in larger sample sets are required to confirm our findings.

Abstract Cancer is a disease of aging and, as the world's population ages, the number of older persons with cancer is increasing and will make up a growing share of the oncology population in virtually every country. Despite this, older patients remain vastly underrepresented in research that sets the standards for cancer treatments. Consequently, most of what we know about cancer therapeutics is based on clinical trials conducted in younger, healthier patients, and effective strategies to improve clinical trial participation of older adults with cancer remain sparse. For this systematic review, the authors evaluated published studies regarding barriers to participation and interventions to improve participation of older adults in cancer trials. The quality of the available evidence was low and, despite a literature describing multifaceted barriers, only one intervention study aimed to increase enrollment of older adults in trials. The findings starkly amplify the paucity of evidence‐based, effective strategies to improve participation of this underrepresented population in cancer trials. Within these limitations, the authors provide their opinion on how the current cancer research infrastructure must be modified to accommodate the needs of older patients. Several underused solutions are offered to expand clinical trials to include older adults with cancer. However, as currently constructed, these recommendations alone will not solve the evidence gap in geriatric oncology, and efforts are needed to meet older and frail adults where they are by expanding clinical trials designed specifically for this population and leveraging real‐world data.

Abstract Background: Whether circulating polyunsaturated fatty acid (PUFA) levels are associated with pancreatic cancer risk is uncertain. Mendelian randomization (MR) represents a study design using genetic instruments to better characterize the relationship between exposure and outcome. Methods: We utilized data from genome-wide association studies within the Pancreatic Cancer Cohort Consortium and Pancreatic Cancer Case–Control Consortium, involving approximately 9,269 cases and 12,530 controls of European descent, to evaluate associations between pancreatic cancer risk and genetically predicted plasma n-6 PUFA levels. Conventional MR analyses were performed using individual-level and summary-level data. Results: Using genetic instruments, we did not find evidence of associations between genetically predicted plasma n-6 PUFA levels and pancreatic cancer risk [estimates per one SD increase in each PUFA-specific weighted genetic score using summary statistics: linoleic acid odds ratio (OR) = 1.00, 95% confidence interval (CI) = 0.98–1.02; arachidonic acid OR = 1.00, 95% CI = 0.99–1.01; and dihomo-gamma-linolenic acid OR = 0.95, 95% CI = 0.87–1.02]. The OR estimates remained virtually unchanged after adjustment for covariates, using individual-level data or summary statistics, or stratification by age and sex. Conclusions: Our results suggest that variations of genetically determined plasma n-6 PUFA levels are not associated with pancreatic cancer risk. Impact: These results suggest that modifying n-6 PUFA levels through food sources or supplementation may not influence risk of pancreatic cancer.

Abstract Background Prior comparisons of chemotherapy adverse events (AEs) by age and performance status (PS) are limited by the traditional maximum grade approach, which ignores low-grade AEs and longitudinal changes. Materials and Methods To compare fatigue and neuropathy longitudinally by age (<65, ≥65 years) and PS (0–1, 2), we analyzed data from a large phase III trial of carboplatin and paclitaxel versus paclitaxel for advanced non-small cell lung cancer (CALGB 9730, n = 529). We performed multivariable (a) linear mixed models to estimate mean AE grade over time, (b) linear regression to estimate area under the curve (AUC), and (c) proportional hazards models to estimate the hazard ratio of developing grade ≥2 AE, as well as traditional maximum grade analyses. Results Older patients had on average a 0.17-point (95% confidence interval [CI], 0.00–0.34; p = .049) higher mean fatigue grade longitudinally compared with younger patients. PS 2 was associated with earlier development of grade ≥2 fatigue (hazard ratio [HR], 1.56; 95% CI, 1.07–2.27; p = .02). For neuropathy, older age was associated with earlier development of grade ≥2 neuropathy (HR, 1.41; 95% CI, 1.00–1.97; p = .049). Patients with PS 2 had a 1.30 point lower neuropathy AUC (95% CI, −2.36 to −0.25; p = .02) compared with PS 0–1. In contrast, maximum grade analyses only detected a higher percentage of older adults with grade ≥3 fatigue and neuropathy at some point during treatment. Conclusion Our comparison of complementary but distinct aspects of chemotherapy toxicity identified important longitudinal differences in fatigue and neuropathy by age and PS that are missed by the traditional maximum grade approach. Clinical trial identification number: NCT00003117 (CALGB 9730) Implications for Practice The traditional maximum grade approach ignores persistent low-grade adverse events (AEs) and changes over time. This toxicity over time analysis of fatigue and neuropathy during chemotherapy for advanced non-small cell lung cancer demonstrates how to use longitudinal methods to comprehensively characterize AEs over time by age and performance status (PS). We identified important longitudinal differences in fatigue and neuropathy that are missed by the maximum grade approach. This new information about how older adults and patients with PS 2 experience these toxicities longitudinally may be used clinically to improve discussions about treatment options and what to expect to inform shared decision making and symptom management.

Arrhythmogenic cardiomyopathy (ACM) is an inherited cardiomyopathy characterised by ventricular arrhythmia and an increased risk of sudden cardiac death (SCD). Numerous genetic determinants and phenotypic manifestations have been discovered in ACM, posing a significant clinical challenge. Further to this, wider evaluation of family members has revealed incomplete penetrance and variable expressivity in ACM, suggesting a complex genotype-phenotype relationship. This review details the genetic basis of ACM with specific genotype-phenotype associations, providing the reader with a nuanced perspective of this condition; whilst also proposing a future roadmap to delivering precision medicine-based management in ACM.

Abstract Pancreatic ductal adenocarcinoma (PDAC) is one of most lethal malignancies with few known risk factors and biomarkers. Identification of disease biomarkers is critical for understanding the pathogenesis of this cancer and identifying high risk individuals for close surveillance. Several blood protein biomarkers have been linked to PDAC in previous studies, but these studies have assessed only a limited number of biomarkers usually in small samples. To identify novel circulating protein biomarkers of PDAC, we studied 8,280 cases and 6,728 controls of European descent from the Pancreatic Cancer Cohort Consortium and the Pancreatic Cancer Case-Control Consortium, by using genetic instruments. Protein quantitative trait loci (pQTLs) for 1,226 plasma proteins identified in a large INTERVAL study of 3,301 healthy European descendants were used as instruments to evaluate associations between genetically predicted protein levels and PDAC. For proteins showing a significant association, we further conducted conditional analysis with adjustments for previously identified risk variants to assess whether the observed associations between genetically predicted protein concentrations and PDAC risk were independent of the risk variants identified in genome-wide association studies (GWAS). Furthermore, for the proteins that were associated with PDAC risk, we performed an enrichment analysis of the genes encoding these proteins to examine whether they are enriched in specific pathways, functions or networks. We observed associations between predicted concentrations of 38 proteins and PDAC risk at a false discovery rate of < 0.05, including those of 23 proteins that showed a significant association even after Bonferroni correction (4.08 × 10−5). These include Histo-blood group ABO system transferase encoded by ABO, which has been previously implicated as a potential target gene of PDAC risk variant identified in GWAS. Eight of the identified proteins (Beta-crystallin B2, Dedicator of cytokinesis protein 9, VIP36-like protein, Erythrocyte band 7 integral membrane protein, Tensin-2, Transmembrane protease serine 11D, Alcohol dehydrogenase 1B, and C-X-C motif chemokine 10) were associated with PDAC risk after conditioning on previously reported pancreatic cancer risk variants (odds ratios ranged from 0.79 to 1.52, P-values from 1.28 × 10−3 to 6.47 × 10−4). Pathway enrichment analysis showed that the encoding genes for the implicated proteins were significantly enriched in cancer-related pathways, such as STAT3 and IL-15 production. In conclusion, we identified 38 protein biomarker candidates for PDAC risk, which if validated by additional studies, may contribute to the etiological understanding of PDAC tumor development. Citation Format: Jingjing Zhu, Xiang Shu, Xingyi Guo, Duo Liu, Jiandong bao, Roger Milne, Graham G Giles, Chong Wu, Mengmeng Du, Emily White, Harvey A Risch, Nuria Malats, Eric J. Duell, Phyllis J. Goodman, Donghui Li, Paige Bracci, Verena Katzke, Rachel E Neale, Steven Gallinger, Stephen Van Den Eeden, Alan Arslan, Federico Canzian, Charles Kooperberg, Brian Wolpin, Laura Beane-Freeman, Ghislaine Scelo, Kala Visvanatha, Christopher A. Haiman, Loïc Le Marchand, Herbert Yu, Gloria M Petersen, Rachael Stolzenberg-Solomon, Alison P Klein, Laufey T Amundadottir, Qiuyin Cai, Jirong Long, Xiao-Ou Shu, Wei Zheng, Lang Wu. Associations between genetically predicted blood protein biomarkers and pancreatic ductal adenocarcinoma risk [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 1200.

Abstract Introduction: Pancreatic cancer is the seventh leading cause of cancer death worldwide with pancreatic ductal adenocarcinoma (PDAC) being the most common subtype (>90%). Inherited genetic changes and cigarette smoking are established independent risk factors of PDAC. Methods: We conducted a genome-wide gene by smoking interaction analysis of PDAC risk among 7,937 PDAC cases and 12,389 controls of European ancestry from the Pancreatic Cancer Cohort (PanScan) and Pancreatic Cancer Case-Control Consortia (PanC4) with complete genotyping and smoking data. Over 6,769,447 SNPs met our inclusion criteria of imputation score >0.5 and MAF >0.05 after imputation to phase 3 1000G and were included in our analysis. We evaluated the gene-environment interactions using the empirical Bayes method which allows data-adaptive relaxation of the gene-environment independence assumption. The logistic regression model was adjusted for age, sex, top principal components for each phase, study and study region (PanScan only). The analysis was conducted separately for the PanScan and PanC4 GWAS studies, using a score test to efficiently incorporate expected SNP dosages. The estimates were then combined using a fixed-effect meta-analysis. We examined expression quantitative trait locus using data from the NIH Genotype-Tissue Expression (GTEx) database. We considered a P-value < 5.0 × 10−8 statistically significant. Results: We found a genome-wide significant qualitative interaction with the SNP rs1818613 by smoking status (P-value <5 × 10−9) where, compared to the G allele, the T allele was associated with a reduced risk PDAC in never smokers (per T allele OR, 0.87; 95% CI, 0.82-0.93), had no association in former smokers (OR, 1.00; 95% CI, 0.91-1.07) and was associated with an increased risk in current smokers (OR, 1.25; 95% CI, 1.12-1.40). This SNP is located on chromosome 2q21.3 in intron 5 of the transmembrane protein 163 (TMEM163) gene and upstream of the cyclin T2 (CCNT2) gene. More than 40 additional SNPs within 100Kbp and in high LD (r2 > 0.8) with rs1818613 provided significant evidence of interaction by smoking status for PDAC risk. rs1818613 was associated with differential expression of TMEM163 in several tissues: for T allele compared with the G allele there was increased expression in the heart, pituitary, whole blood, and esophagus-muscularis and decreased expression in the testis tissues (P-value < 3 × 10−11). It was also associated with decreased CCNT2 expression in the tibial nerve tissue (P-value = 1.9 × 10−9). Conclusions: Our work supports that the genetic variation in the region, in conjunction with cigarette smoking, influences PDAC risk. Future studies are needed to explore this association in other smoking-related cancers and to understand the biological mechanism of such association. Citation Format: Prosenjit Kundu, Evelina Mocci, William Wheeler, Laufey T. Amundadottir, Donghui Li, Eric J. Jacobs, Gloria M. Petersen, Brian M. Wolpin, Harvey A. Risch, Peter Kraft, Nilanjan Chatterjee, Alison P. Klein, Rachael Z. Stolzenberg-Solomon, The PanScan and Panc4 consortia. Genome-wide interaction scan identifies gene by smoking interaction at 2q21.3 for pancreatic cancer risk [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 1213.