Annual Meeting of the NCI Cohort Consortium (Abstract Submission): Submission #10

serial: '10'
sid: '150783'
uuid: f131f9a1-dda3-478d-8e35-d8cc2eb94194
uri: '/egrp/cohortconsortium/abstracts?cid=eb_govdel'
created: '1756919635'
completed: '1756921362'
changed: '1756921362'
in_draft: '0'
current_page: ''
remote_addr: 10.208.24.230
uid: '0'
langcode: en
webform_id: cohort_2024_abstracts_submission
entity_type: node
entity_id: '1467'
locked: '0'
sticky: '0'
notes: ''
metatag: meta
data:
  additional_authors:
    - add_author_degree: 'Ph.D. MPH'
      add_author_first_name: Ting
      add_author_last_name: Zhang
      add_author_middle: ''
      add_author_organization: 'National Cancer Institute'
    - add_author_degree: MS
      add_author_first_name: Devika
      add_author_last_name: Godbole
      add_author_middle: ''
      add_author_organization: 'National Cancer Institute'
    - add_author_degree: Ph.D.
      add_author_first_name: Ziqiao
      add_author_last_name: Wang
      add_author_middle: ''
      add_author_organization: 'Johns Hopkins Bloomberg School of Public Health'
    - add_author_degree: MS
      add_author_first_name: Xiaoyu
      add_author_last_name: Wang
      add_author_middle: ''
      add_author_organization: 'National Cancer Institute'
    - add_author_degree: Ph.D.
      add_author_first_name: Jia
      add_author_last_name: Liu
      add_author_middle: ''
      add_author_organization: 'National Cancer Institute'
    - add_author_degree: MBBS
      add_author_first_name: Chirayu
      add_author_last_name: Mohindroo
      add_author_middle: ''
      add_author_organization: 'National Cancer Institute'
    - add_author_degree: MS
      add_author_first_name: Shilpa
      add_author_last_name: Katta
      add_author_middle: ''
      add_author_organization: 'National Cancer Institute'
    - add_author_degree: MS
      add_author_first_name: Shengchao
      add_author_last_name: Li
      add_author_middle: A.
      add_author_organization: 'National Cancer Institute'
    - add_author_degree: MS
      add_author_first_name: Jiahui
      add_author_last_name: Wang
      add_author_middle: ''
      add_author_organization: 'National Cancer Institute'
    - add_author_degree: ''
      add_author_first_name: PanScan
      add_author_last_name: 'PanC4 Consortium'
      add_author_middle: and
      add_author_organization: 'National Cancer Institute'
    - add_author_degree: 'M.D., MPH'
      add_author_first_name: Brian
      add_author_last_name: Wolpin
      add_author_middle: M.
      add_author_organization: 'Dana-Farber Cancer Institute'
    - add_author_degree: 'M.D., Ph.D.'
      add_author_first_name: Harvey
      add_author_last_name: Risch
      add_author_middle: A.
      add_author_organization: 'Yale School of Public Health'
    - add_author_degree: Ph.D.
      add_author_first_name: Laufey
      add_author_last_name: Amundadottir
      add_author_middle: T.
      add_author_organization: 'National Cancer Institute'
    - add_author_degree: 'Ph.D., MHS'
      add_author_first_name: Alison
      add_author_last_name: Klein
      add_author_middle: P.
      add_author_organization: 'Johns Hopkins Bloomberg School of Public Health'
    - add_author_degree: MPH
      add_author_first_name: Vernon
      add_author_last_name: Burk
      add_author_middle: A.
      add_author_organization: 'Johns Hopkins Bloomberg School of Public Health'
    - add_author_degree: 'Ph.D., MS'
      add_author_first_name: Nilanjan
      add_author_last_name: Chatterjee
      add_author_middle: ''
      add_author_organization: 'Johns Hopkins Bloomberg School of Public Health'
    - add_author_degree: Ph.D.
      add_author_first_name: Kai
      add_author_last_name: Yu
      add_author_middle: ''
      add_author_organization: 'National Cancer Institute'
    - add_author_degree: 'ScD, MPH'
      add_author_first_name: Elizabeth
      add_author_last_name: Platz
      add_author_middle: A.
      add_author_organization: 'Johns Hopkins Bloomberg School of Public Health'
    - add_author_degree: Ph.D.
      add_author_first_name: Diptavo
      add_author_last_name: Dutta
      add_author_middle: ''
      add_author_organization: 'National Cancer Institute'
    - add_author_degree: Ph.D.
      add_author_first_name: Haoyu
      add_author_last_name: Zhang
      add_author_middle: ''
      add_author_organization: 'National Cancer Institute'
    - add_author_degree: 'PhD, MPH, RD'
      add_author_first_name: Rachael
      add_author_last_name: Stolzenberg-Solomon
      add_author_middle: Z.
      add_author_organization: 'National Cancer Institute'
  degree_s_: PhD
  email: ting.zhang3@nih.gov
  first_name: Ting
  last_name: Zhang
  organization: 'National Cancer Institute'
  poster_title: 'Blood proteomic profiles and pancreatic ductal adenocarcinoma risk – A Mendelian randomization and observational analysis'
  short_biography_: |-
    Background: Proteomic biomarkers hold promises for early detection and etiologic insights into pancreatic ductal adenocarcinoma (PDAC). We investigated associations between genetically predicted plasma proteins and PDAC risk using Mendelian randomization (MR) and assessed identified proteins with incident PDAC in two prospective cohorts.  
    Methods: We conducted proteome-wide MR by applying cis-acting protein quantitative trait loci (pQTLs, P<5×10-8) identified from genome-wide association studies of plasma proteins in the UK Biobank (UKB, n=34,557; 2923 proteins) and deCODE (n=35,559; 4719 proteins), respectively, to summary statistics from a PDAC GWAS meta-analysis of PanScan1–3/PanC4/FinnGen (10,244 cases, 360,535 controls of European ancestry). We validated the top MR-identified proteomic-PDAC associations using Cox proportional hazards models within UKB (n=52,551, 133 cases) and Atherosclerosis Risk in Communities (ARIC) study (n=9476; 88 cases) cohorts and combined using fixed-effect meta-analysis.
    Results: The proteome-wide MR identified 44 proteins significantly associated with PDAC risk after Bonferroni correction (PUKB<2.7×10-5 or PdeCODE <3.0×10-5), of which 17 were cross-validated in both datasets (P<0.05). Of the 44, eight proteins were previously identified, including ABO, CTRB1, B4GALT1, REG1A, FUT3, AMY2A, AMY2B, and NCF1 (OR=0.80–1.27 per standard deviation increment). The remaining 36 proteins were newly identified. In prospective analyses, higher plasma ABO and ITIH3 were associated with incident PDAC in UKB-ARIC meta-analysis (HR=1.19 and 1.20 respectively). 
    Conclusion/Discussion: We identified multiple genetically predicted plasma proteins associated with PDAC risk, among which associations for measured plasma ABO and ITIH3 were further validated using in two prospective cohorts. These proteins highlight promising candidates for future investigations as PDAC prevention targets.
  title: 'postdoctoral fellow'