Evidence map›Paper›PMID 40353398›Full record

ArticleCurrent Alzheimer research2025

Investigating the Relationships Between Neurodegenerative Diseases and Cancer Types: A Computational Approach.

Claudia Cava, Isabella Castiglioni

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Article in Current Alzheimer research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Claudia CavaDepartment of Science, Technology, and Society, University School for Advanced Studies IUSS Pavia, Palazzo del Broletto, Piazza della Vittoria 15, 27100, Pavia, Italy.
Isabella CastiglioniDepartment of Physics "Giuseppe Occhialini", University of Milan-Bicocca, Piazza dell'Ateneo Nuovo, 20126, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPrevious studies have shown a correlation between neurodegenerative diseases and cancers. However, the biological processes for these diseases are not completely known, and the genetic factors for their onset are not defined. MATERIALS AND

methodsThis study reports the genetic relationships of different neurodegenerative diseases, such as Multiple Sclerosis (MS), Alzheimer's Disease (AD), and Parkinson's disease (PD) and cancer types (squamous cell lung carcinoma, esophageal adenocarcinoma, and colorectal cancer), with other human traits, based on cross-trait Linkage Disequilibrium Score regression (LDSC). We then applied a clumping approach to select candidate genes for each disease, and via an miRNA analysis, we identified miRNAs that could regulate those genes.

resultsLDSC revealed an inverse association of human traits with neurodegenerative diseases and cancer. Indeed, the cancer types studied were positively correlated with "Body Mass Index (BMI)," while AD, PD, and MS showed a negative correlation. miR-1-3p, miR-34a-5p, and miR-27a-3p were revealed as common biomarkers among the different pathological conditions.

conclusionThe present study suggests novel genetic associations between neurological diseases, cancer types and new targets to explain the genetic sharing between the diseases.

Indexed as

Computational BiologyGenetic Predisposition to DiseaseNeoplasmsNeurodegenerative DiseasesHumansLinkage DisequilibriumMicroRNAsMicroRNAscancergenome analysismiRNAmultiple sclerosisNeurodegenerative diseasespathological conditions.

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.