# Bioinformatics analysis to explore the potential prognostic utility of hsa-miR-103a-3p in head and neck squamous cell carcinoma

**Authors:** Hanin Shoukry, Aliaa A. Elsherbiny, Sally A. Fahim

PMC · DOI: 10.1038/s41598-025-26188-6 · Scientific Reports · 2025-11-21

## TL;DR

This study explores how hsa-miR-103a-3p might predict poor outcomes in head and neck cancer by analyzing its role and targets.

## Contribution

The study is the first to investigate the prognostic role of hsa-miR-103a-3p in head and neck squamous cell carcinoma.

## Key findings

- Hsa-miR-103a-3p is upregulated in HNSCC and linked to poor overall survival.
- 297 candidate target genes were identified, including HOXD10, HMGA2, and THY1.
- The miRNA is involved in cancer pathways like cAMP signaling and proteoglycans.

## Abstract

Head and neck squamous cell carcinoma (HNSCC), the seventh most common cancer globally, has not yet seen an exploration of the specific role of hsa-miR-103a-3p. This study employs integrated bioinformatics analysis to investigate the function, regulatory patterns, and prognostic significance of hsa-miR-103a-3p in HNSCC. The Kaplan-Meier database was used for pan-cancer prognostic analysis of hsa-miR-103a-3p. Expression significance was assessed using the dbDEMC and GSE124566 dataset from GEO. TargetScan, RNA22, miRDB, and miRWalk identified potential targets, while GEPIA 2.0 provided differentially expressed genes (DEGs). Functional and pathway enrichment analyses were conducted using ShinyGO and KOBAS. Elevated hsa-miR-103a-3p expression correlated with poor overall survival and was upregulated in HNSCC tissues. Integration of four target prediction tools yielded 297 candidate genes. Among them, HOXD10, HMGA2, and THY1 showed the highest expression, whereas UBL3, AMOT, and PDK4 displayed low levels. UBE2Q1, ZFPM2, and ATXN1 demonstrated the strongest accessibility to hsa-miR-103a-3p binding. Network analysis revealed interactions with transcription factors and tumor-related genes, while enrichment highlighted involvement in upstream regulators and downstream cancer-associated pathways. This study identified 297 target genes and clarified the regulatory role of hsa-miR-103a-3p through interaction networks, transcription factor associations, and pathway enrichment. These findings suggest a potential oncogenic role for hsa-miR-103a-3p in modulating the cAMP signaling pathway, proteoglycans in cancer, and related mechanisms, thereby linking its molecular regulation to poor prognosis and potential therapeutic targeting in HNSCC.

The online version contains supplementary material available at 10.1038/s41598-025-26188-6.

## Linked entities

- **Genes:** HOXD10 (homeobox D10) [NCBI Gene 3236], HMGA2 (high mobility group AT-hook 2) [NCBI Gene 8091], THY1 (Thy-1 cell surface antigen) [NCBI Gene 7070], UBL3 (ubiquitin like 3) [NCBI Gene 5412], AMOT (angiomotin) [NCBI Gene 154796], PDK4 (pyruvate dehydrogenase kinase 4) [NCBI Gene 5166], UBE2Q1 (ubiquitin conjugating enzyme E2 Q1) [NCBI Gene 55585], ZFPM2 (zinc finger protein, FOG family member 2) [NCBI Gene 23414], ATXN1 (ataxin 1) [NCBI Gene 6310]
- **Diseases:** head and neck squamous cell carcinoma (MONDO:0010150), HNSCC (MONDO:0010150)

## Full-text entities

- **Genes:** HMGA2 (high mobility group AT-hook 2) [NCBI Gene 8091] {aka BABL, HMGI-C, HMGIC, LIPO, SRS5, STQTL9}, HOXD10 (homeobox D10) [NCBI Gene 3236] {aka HOX4, HOX4D, HOX4E, Hox-4.4}, AMOT (angiomotin) [NCBI Gene 154796], ZFPM2 (zinc finger protein, FOG family member 2) [NCBI Gene 23414] {aka DIH3, FOG2, PRDM19, SRXY9, ZC2HC11B, ZNF89B}, PDK4 (pyruvate dehydrogenase kinase 4) [NCBI Gene 5166], UBL3 (ubiquitin like 3) [NCBI Gene 5412] {aka HCG-1, PNSC1}, ATXN1 (ataxin 1) [NCBI Gene 6310] {aka ATX1, D6S504E, SCA1}, THY1 (Thy-1 cell surface antigen) [NCBI Gene 7070] {aka CD90, CDw90}, UBE2Q1 (ubiquitin conjugating enzyme E2 Q1) [NCBI Gene 55585] {aka GTAP, NICE-5, NICE5, PRO3094, UBE2Q}
- **Diseases:** cancer (MESH:D009369), HNSCC (MESH:D000077195)
- **Chemicals:** cAMP (-)

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12639060/full.md

## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12639060/full.md

## References

27 references — full list in the complete paper: https://tomesphere.com/paper/PMC12639060/full.md

---
Source: https://tomesphere.com/paper/PMC12639060