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Arecoline may upregulate androgen receptor in prostate cancer cells, integrative analysis suggestsArecoline Linked to Prostate Cancer Pathways in Lab Study

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Key Takeaway
Interpret these findings as hypothesis-generating; arecoline's effect on AR in vitro requires clinical validation.

This publication is a guideline-based integrative analysis combining computational modeling and in vitro experiments to investigate potential molecular links between arecoline and prostate cancer. The study used LNCaP cells and did not report sample size or comparator.

Key findings include identification of 97 overlapping targets enriched in apoptosis-, p53-, and MAPK-related pathways. A bulk RNA model achieved an AUC of 0.956. Androgen receptor (AR) was identified as the only consensus core gene. In LNCaP cells, arecoline treatment increased AR mRNA and protein expression.

The authors acknowledge the hypothesis-generating nature of this framework. The study does not establish a direct clinical link between arecoline consumption and prostate cancer in humans, and in vitro results in LNCaP cells do not directly translate to human clinical outcomes.

Practice relevance is limited to identifying AR as a plausible candidate molecular node. Certainty is low for clinical application given the integrative computational and in vitro model.

Researchers conducted an integrative analysis and lab tests using LNCaP cells, which are a type of cell used to study prostate cancer. The goal was to see how arecoline interacts with the body at a molecular level. They found that arecoline is linked to several pathways involved in cell growth and survival.

The study identified 97 overlapping targets related to specific biological pathways. Most importantly, the researchers identified the androgen receptor as a key gene involved in these changes. When cells were treated with arecoline, they showed an increase in both the mRNA and protein levels of this receptor.

It is important to note that this research was conducted in a lab setting using cell cultures, not in humans. Because it is a computer-based and laboratory model, the results are currently used to generate new ideas for future research. These findings do not prove that arecoline causes prostate cancer in people or provide a basis for medical treatment.

What this means for you:
This lab study identifies a potential link between arecoline and prostate cancer pathways but does not involve humans.

Study Details

Study typeGuideline
EvidenceLevel 5
PublishedJun 2026
View Original Abstract ↓
Arecoline, the major alkaloid of areca nut, is a common exposure in chewing products, but its relationship with prostate cancer (PCa) is unclear. We integrated network toxicology, bulk RNA machine learning, single-cell transcriptomics, molecular simulation, and in vitro validation to prioritize candidate molecular nodes potentially linking arecoline exposure to PCa-related alterations. Potential arecoline targets were intersected with PCa-related genes, followed by protein–protein interaction and enrichment analyses. Candidate genes were prioritized using TCGA-PRAD and external GEO cohorts, then refined in GWAS-relevant epithelial subpopulations from GSE141445. AR was further evaluated by the Human Protein Atlas, molecular docking, molecular dynamics, RT-qPCR, and Western blotting. We identified 97 overlapping targets enriched mainly in apoptosis-, p53-, and MAPK-related pathways. The optimal bulk RNA model showed good external performance (AUC = 0.956). Integrative analyses identified androgen receptor (AR) as the only consensus core gene. AR-high epithelial cells showed increased androgen response, mTORC1 signaling, and MYC targets. Molecular simulation provided computational support for structural compatibility between arecoline and AR, while in vitro experiments showed increased AR mRNA and protein expression after arecoline treatment in LNCaP cells. These findings suggest AR as a plausible candidate molecular node linking arecoline exposure to PCa-related molecular alterations and provide a hypothesis-generating framework for future mechanistic and exposure-focused studies.
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