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Urinary and Faecal Amino-Acids as Biomarkers for Colorectal Neoplasia in Lynch Syndrome

Overview

This repository contains the code and analysis pipeline used to evaluate faecal and urinary amino acids as non-invasive biomarkers for detecting colorectal neoplasia in individuals with Lynch syndrome.

The study investigates whether metabolomic alterations, particularly amino acid profiles measured using liquid chromatography-tandem mass spectrometry (LC-MS/MS), can improve colorectal cancer (CRC) surveillance and potentially refine colonoscopy-based screening strategies.

Background

Individuals with Lynch syndrome undergo regular colonoscopy surveillance to reduce colorectal cancer risk. However:

  • Colonoscopy surveillance is burdensome.
  • Post-colonoscopy colorectal cancers still occur.
  • Additional non-invasive biomarkers may improve risk stratification.

Previous studies have demonstrated that gut metabolomic changes, including amino acid alterations, may serve as promising biomarkers for both advanced and non-advanced sporadic colorectal neoplasia.

Study Aim

To evaluate the diagnostic potential of:

  • Faecal amino acids
  • Urinary amino acids
  • Faecal amino acids combined with FIT (Faecal Immunochemical Test)

for detecting relevant colorectal neoplasia in individuals with Lynch syndrome.

Study Design

Participants with Lynch syndrome provided:

  • Faecal samples
  • Urine samples

at the following time points:

  • 3 months before surveillance colonoscopy
  • 3–6 months after surveillance colonoscopy

Cases and controls were matched based on:

  • Age
  • Sex
  • Smoking status
  • Dietary characteristics

Relevant neoplasia was defined as:

  • Colorectal cancer (CRC)
  • Adenomas
  • Advanced serrated polyps

Methods

Metabolomic Profiling

Twenty amino acids were quantified in:

  • Faecal samples
  • Urinary samples

using:

Liquid Chromatography-Tandem Mass Spectrometry (LC-MS/MS)

Machine Learning Analysis

Diagnostic models were developed using:

  • Random Forest classification
  • Cross-validation procedures
  • Receiver Operating Characteristic (ROC) analysis

Models evaluated:

  1. Faecal amino acids
  2. Faecal amino acids + FIT (2.55 μg Hb/g faeces threshold)
  3. Urinary amino acids

Repository Structure

├── 
├── scripts

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