# The Biological and Prognostic Implications of the Nicotinic Acetylcholine Receptor α3, α5, and α7 Subunits in Oral Squamous Cell Carcinoma

**Authors:** Chi‐Maw Lin, Long‐Wei Lin, Tseng‐Cheng Chen, Yi‐Ling Ye, Bor‐Luen Chiang

PMC · DOI: 10.1002/cam4.71358 · Cancer Medicine · 2025-11-07

## TL;DR

This study explores how nicotinic acetylcholine receptor subunits CHRNA3, CHRNA5, and CHRNA7 affect oral squamous cell carcinoma, linking their expression to cancer progression and treatment response.

## Contribution

The paper identifies distinct roles for CHRNA3, CHRNA5, and CHRNA7 in epithelial-mesenchymal transition and treatment resistance in oral and head and neck cancers.

## Key findings

- CHRNA3 promotes epithelial-mesenchymal transition and mesenchymal traits in oral cancer.
- CHRNA5 is associated with poor prognosis and tumor dissemination in head and neck cancer.
- CHRNA7 maintains a hybrid epithelial-mesenchymal state and influences treatment response.

## Abstract

The divergent loop structures of nicotinic acetylcholine receptor (nAChR) α3, α5, and α7 subunits (encoded by CHRNA3, CHRNA5, and CHRNA7) are involved in kinase phosphorylation and signal transduction, potentially affecting oral squamous cell carcinoma (OSCC), the most common head and neck cancer (HNC). However, their specific roles in OSCC remain unclear.

We integrated analyses of SCC‐4 tongue cancer cells with CHRNA overexpression, immunohistochemistry of OSCC pathological specimens, and data from the cancer genome atlas (TCGA), DepMap, and Puram 2017 to assess CHRNA3, CHRNA5, and CHRNA7 in OSCC/HNC.

In OSCC, CHRNA3, CHRNA5, and CHRNA7 expression interacted with epithelial–mesenchymal transition (EMT) markers and correlated with invasive patterns. CHRNA3 reduced epithelial and enhanced mesenchymal traits, supporting EMT. CHRNA5 further promoted mesenchymal features, was linked to disseminated tumor patterns, and predicted poor prognosis. CHRNA7 enhanced both epithelial and mesenchymal markers, maintaining a hybrid EMT state. In HNC, bioinformatic analyses revealed that CHRNA3 preserved ion channel activity, CHRNA5 promoted DNA replication, reduced adhesion, suppressed antigen presentation, and induced hypomethylation and miRNA overexpression, while CHRNA7 promoted differentiation with variable effects on adhesion and antigen presentation. In DepMap HNC cell lines, high CHRNA3/CHRNA5 and low CHRNA7 expression were associated with resistance to most inhibitors. Epidermal growth factor receptor (EGFR) inhibitors were effective in CHRNA3/CHRNA7‐high HNC, whereas cyclin‐dependent kinase (CDK) inhibitors were effective in CHRNA5‐high HNC.

Differential expression of CHRNA3, CHRNA5, and CHRNA7 indicates different EMT states in OSCC/HNC, influencing proliferation, differentiation, cell adhesion, immune reactions, and treatment efficacy, and warrants further experimental validation.

## Linked entities

- **Genes:** CHRNA3 (cholinergic receptor nicotinic alpha 3 subunit) [NCBI Gene 1136], CHRNA5 (cholinergic receptor nicotinic alpha 5 subunit) [NCBI Gene 1138], CHRNA7 (cholinergic receptor nicotinic alpha 7 subunit) [NCBI Gene 1139]
- **Diseases:** oral squamous cell carcinoma (MONDO:0004958), head and neck cancer (MONDO:0005627)

## Full-text entities

- **Genes:** CHRNA7 (cholinergic receptor nicotinic alpha 7 subunit) [NCBI Gene 1139] {aka CHRNA7-2, NACHRA7, a7nAChR, nAChR7}, EGFR (epidermal growth factor receptor) [NCBI Gene 1956] {aka ERBB, ERBB1, ERRP, HER1, NISBD2, NNCIS}, CHRNA1 (cholinergic receptor nicotinic alpha 1 subunit) [NCBI Gene 1134] {aka ACHRA, ACHRD, CHRNA, CMS1A, CMS1B, CMS2A}, CHRNA5 (cholinergic receptor nicotinic alpha 5 subunit) [NCBI Gene 1138] {aka LNCR2}, CHRNA3 (cholinergic receptor nicotinic alpha 3 subunit) [NCBI Gene 1136] {aka BAIPRCK, LNCR2, NACHRA3, PAOD2}, IGKV2D-26 (immunoglobulin kappa variable 2D-26) [NCBI Gene 28884] {aka A5, IGKV2D26}
- **Diseases:** tongue cancer (MESH:D014062), HNC (MESH:D006258), OSCC (MESH:D000077195), cancer (MESH:D009369), SCC-4 (MESH:D053632)

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12593526/full.md

## Figures

6 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12593526/full.md

## References

63 references — full list in the complete paper: https://tomesphere.com/paper/PMC12593526/full.md

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Source: https://tomesphere.com/paper/PMC12593526