Annual Meeting of the NCI Cohort Consortium (Abstract Submission): Submission #7

Submission information
Submission Number: 7
Submission ID: 149398
Submission UUID: 4a3a6b37-443b-4c83-837e-692b2b29ee4c

Created: Wed, 08/20/2025 - 17:27
Completed: Wed, 08/20/2025 - 17:40
Changed: Wed, 08/20/2025 - 17:40

Remote IP address: 10.208.24.50
Submitted by: Anonymous
Language: English

Is draft: No
Presenter's First Name: Xiang
Presenter's Last Name: Shu
Title (eg: professor, assistant professor, chair, etc): Assistant Professor
Degree(s) PhD
Contact Email: shux@mskcc.org
Organization: Memorial Sloan Kettering Cancer Center
Project Title: Multi-omics study reveals potential novel biomarkers linking low fruit intake and aging to gastric cancer
Additional Authors
  1. First Name: Ying
    Last Name: Liang
    Degree(s): PhD
    Organization: Memorial Sloan Kettering Cancer Center
  2. First Name: Xiao-ou
    Last Name: Shu
    Degree(s): MD, PhD
    Organization: Vanderbilt University Medical Center
Abstract: Background Gastric cancer (GC) remains a significant cancer burden worldwide. Although several risk factors, such as Helicobacter pylori (H. pylori), have been recognized, additional mechanisms implicated in GC development remain to be elucidated. Methods In the current study, we performed a multi-omics investigation of GC using a nested case-control design within the Southern Community Cohort Study, aiming to identify novel risk biomarkers for this malignancy in an underrepresented population characterized by low socioeconomic status. We generated untargeted metabolomics data using prediagnostic blood samples from 93 incident GC cases and 184 matched controls, and unbiased proteomics data for a subset of 80 case-control pairs. The data were corrected for batch effects and biomarkers with a large proportion of missing values (>30%) were excluded. We performed multivariable conditional logistic regression to identify risk associated biomarkers. Results Seventeen metabolites were nominally associated with GC risk (P<0.01), covering five distinct classes. For example, 4-allylphenol sulfate, a xenobiotic metabolite previously reported as biomarker for fruit intake, was inversely associated with GC risk (OR=0.57, 95%CI=0.41-0.80, P=0.0012) after adjusting for H. pylori exposure, pepsinogen I/II ratio, and other risk factors. N1-methyl-4-pyridone-3-carboxamide, a terminal metabolite of niacin, was also associated with reduced risk of GC (OR=0.68, 95%CI=0.48-0.97, P=0.0319). Proteomics data suggest that aging particularly intestinal aging may significantly contribute to GC development (OR=5.29, 95%CI=1.53-18.3, P=0.0086). Conclusion Findings from our newly generated multi-omics data highlight low fruit intake and aging as key risk factors for GC development in a predominantly African American population with low socioeconomic status.