Identifying Gut Microbiome Signatures of Pancreatic Ductal Adenocarcinoma (PDAC) Risk to Promote Healthy Aging in population

Pancreatic Ductal Adenocarcinoma is a severe, age-related malignancy characterized by late 
diagnosis and poor prognosis. As life expectancy increases, the rising incidence of PDAC 
presents a critical challenge to long-term healthy aging. While the exact causes of PDAC 
remain complex, emerging evidence suggests that the gut microbiome plays a pivotal role in 
modulating systemic inflammation, immune surveillance, and oncogenesis.
This project aims to leverage artificial intelligence to uncover specific gut microbiome 
signatures associated with the risk and early pathogenesis of PDAC. By analyzing the largescale, high-resolution shotgun metagenomic data provided by the Dutch Microbiome 
Project, we intend to move beyond broad associations and identify robust, predictive 
microbial biomarkers that signal early vulnerability to pancreatic oncogenesis.
To achieve this, we will apply advanced machine learning algorithms to the dataset's 
complex taxonomic and functional profiles. The computational workflows will be executed 
securely on the University of Birmingham's BlueBear high-performance computing 
cluster. We will strictly adhere to all required data governance measures, ensuring the files 
are held on the institutional compute system with appropriately restricted Unix user group 
access, safely behind a secure firewall, with absolutely no Unix world read/write access 
permitted.
Ultimately, this research seeks to translate massive biological datasets into actionable 
oncological insights. By pinpointing the precise microbial drivers or early indicators of PDAC, 
we aim to contribute to the development of non-invasive, early-detection strategies. 
Identifying these signatures is a crucial step toward proactive cancer prevention, directly 
supporting the broader clinical goal of promoting healthy aging and extending disease-free 
life expectancy.