The Investigation of the Correlation between Urine Biomarkers and Pancreatic Ductal Adenocarcinoma

Jiahui Shen

2021

Abstract

Pancreatic ductal adenocarcinoma (PDAC)’s low survival rate has long been a world unsolved problem. Many past studies in recent decades proved the possibility of detecting such disease in its early stages, using a new screening panel with several urinary biomarkers. However, limited studies truly focused on the statistical correlation between the fluctuation of urinary biomarker concentrations and PDAC diagnosis status. Our study sought to demonstrate a possible correlation between biomarker concentration values in urine samples and confirmed cases of PDAC that could be used for the early diagnosis of PDAC patients. Based on the correlation of the different biomarker measurements with our investigation, we obtained data from Kaggle originally from an open access paper. We estimated odds ratios (ORs) and 95% CIs in a multinomial logistic regression model. From the analysis of p-value, LYVE1, REG1B, and TFF1 are all possible biomarkers to indicate a patient’s PDAC status. Multinomial logistic regression was made to show the correlation between selected biomarkers and diagnosis. Our study suggested that a possible real correlation exists between urinary biomarkers’ concentration and PDAC diagnosis status. Our model could be used to detect patients in their early disease stages to some degree.

Paper Citation

in Harvard Style

Shen J. (2021). The Investigation of the Correlation between Urine Biomarkers and Pancreatic Ductal Adenocarcinoma. In Proceedings of the 2nd Conference on Artificial Intelligence and Healthcare - Volume 1: CAIH, ISBN 978-989-758-594-4, pages 318-325. DOI: 10.5220/0011368200003444

in Bibtex Style

@conference{caih21,
author={Jiahui Shen},
title={The Investigation of the Correlation between Urine Biomarkers and Pancreatic Ductal Adenocarcinoma},
booktitle={Proceedings of the 2nd Conference on Artificial Intelligence and Healthcare - Volume 1: CAIH,},
year={2021},
pages={318-325},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011368200003444},
isbn={978-989-758-594-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd Conference on Artificial Intelligence and Healthcare - Volume 1: CAIH,
TI - The Investigation of the Correlation between Urine Biomarkers and Pancreatic Ductal Adenocarcinoma
SN - 978-989-758-594-4
AU - Shen J.
PY - 2021
SP - 318
EP - 325
DO - 10.5220/0011368200003444