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Investigating the Relationships Between Neurodegenerative Diseases and Cancer Types: A Computational Approach
Claudia Cava1, Isabella Castiglioni2
1Department of Science, Technology, and Society, University School for Advanced Studies IUSS Pavia, Palazzo del Broletto, Piazza della Vittoria 15, 27100, Pavia, Italy.
Current Alzheimer Research
|May 12, 2025
Summary
This study reveals genetic links between neurological diseases like Alzheimer's and Parkinson's, and cancers. It identifies common biomarkers and potential genetic targets, offering new insights into shared disease mechanisms.
Area of Science:
- Genetics
- Neuroscience
- Oncology
Background:
- Previous research indicates correlations between neurodegenerative diseases and cancers.
- The underlying biological mechanisms and genetic factors remain incompletely understood.
Purpose of the Study:
- To investigate the genetic relationships between neurodegenerative diseases (Multiple Sclerosis, Alzheimer's Disease, Parkinson's Disease) and specific cancers.
- To identify candidate genes and regulatory microRNAs (miRNAs) involved in these conditions.
- To explore shared genetic underpinnings between neurological disorders and cancer types.
Main Methods:
- Utilized cross-trait Linkage Disequilibrium Score regression (LDSC) to analyze genetic correlations.
- Employed a clumping approach to identify candidate genes associated with each disease.
- Conducted miRNA analysis to pinpoint regulatory miRNAs for identified genes.
Main Results:
- LDSC analysis indicated an inverse association between human traits and the studied neurodegenerative diseases and cancers.
- Cancer types showed a positive correlation with Body Mass Index (BMI).
- Alzheimer's Disease, Parkinson's Disease, and Multiple Sclerosis exhibited a negative correlation with BMI.
- Identified miR-1-3p, miR-34a-5p, and miR-27a-3p as common biomarkers across these pathological conditions.
Conclusions:
- The study proposes novel genetic associations linking neurological diseases and cancer.
- Identified potential genetic targets that may explain the shared etiology between these conditions.
- Highlights specific miRNAs as potential common biomarkers for neurological diseases and cancers.
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