Genetic Insights into the Shared Molecular Mechanisms of Crohn's Disease and Breast Cancer: a Mendelian Randomization and Deep Learning Approach

Overview

Journal Discov Oncol

Publisher Springer

Specialty Oncology

Date 2025 Feb 18

PMID 39964572

Authors

Zhuang Zhuang Wang

Ju Lin Yang

Zong Yao Zhang

Pei Bin Wang

Affiliations

Soon will be listed here.

Abstract

The objective of this study was to explore the potential genetic link between Crohn's disease and breast cancer, with a focus on identifying druggable genes that may have therapeutic relevance. We assessed the causal relationship between these diseases through Mendelian randomization and investigated gene-drug interactions using computational predictions. This study sought to identify common genetic pathways possibly involved in immune responses and cancer progression, providing a foundation for future targeted treatment research. The dataset comprises single nucleotide polymorphisms used as instrumental variables for Crohn's disease, analyzed to explore their possible impact on breast cancer risk. Gene ontology and pathway enrichment analyses were conducted to identify genes shared between the two conditions, supported by protein-protein interaction networks, colocalization analyses, and deep learning-based predictions of gene-drug interactions. The identified hub genes and predicted gene-drug interactions offer preliminary insights into possible therapeutic targets for breast cancer and immune-related conditions. This dataset may be valuable for researchers studying genetic links between autoimmune diseases and cancer and for those interested in the early identification of potential drug targets.

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