# Integrated single-cell and bulk transcriptomic analysis reveals shared pathogenesis and prognostic biomarkers in breast and thyroid cancers

**Authors:** Bingbing Shen, Jiayi Jiang, Xinyue Zhang, Cheng Yi, Jiaye Liu, Zhihui Li, Yu Ma

PMC · DOI: 10.3389/fimmu.2025.1710915 · Frontiers in Immunology · 2026-01-12

## TL;DR

This study finds shared genetic pathways and a key biomarker, SMR3B, in breast and thyroid cancers, offering new insights for treating patients with both conditions.

## Contribution

The study identifies SMR3B as a shared prognostic biomarker and therapeutic target in breast and thyroid cancers through integrated single-cell and bulk transcriptomic analysis.

## Key findings

- JAK-STAT signaling and cytokine interactions are shared pathogenic mechanisms in breast and thyroid cancers.
- SMR3B influences proliferation, migration, and invasion in both breast and thyroid cancers.
- SFRP2+ fibroblasts and HLA_DPB1+ myeloid cells are key players in tumorigenesis.

## Abstract

Breast cancer (BC) and thyroid cancer (TC) are two hormonally regulated malignancies with increasing evidence of significant comorbidity. However, the underlying molecular mechanisms contributing to their co-occurrence remain unclear.

This study aimed to elucidate the shared pathogenesis of BC and TC and to identify common prognostic biomarkers and therapeutic targets.

An integrative bioinformatics study combining single-cell and bulk RNA sequencing data was conducted to investigate shared molecular features between BC and TC.

Differentially expressed genes (DEGs) were identified and subjected to functional enrichment analysis. Single-cell transcriptome analysis was performed to characterize tumor microenvironment composition and malignant cell heterogeneity. Copy number variation (CNV) and non-negative matrix factorization (NMF) analyses were used to identify key gene expression modules. Weighted gene co-expression network analysis (WGCNA) was applied to bulk transcriptomic data to determine critical cell populations. A prognostic signature was constructed using 101 machine learning algorithms, and functional assays were conducted to validate gene function.

Enrichment analyses indicated that the JAK-STAT signaling pathway and cytokine–cytokine receptor interaction are shared pathogenic mechanisms. Single-cell analysis revealed immune cell involvement and malignant cell heterogeneity. Modules MP2, MP4, and MP5 were identified as critical in both cancers. WGCNA highlighted SFRP2+ fibroblasts and HLA_DPB1+ myeloid cells as key players in tumorigenesis. A prognostic model was developed, and SMR3B was validated as a shared prognostic gene that influenced proliferation, migration, and invasion in both BC and TC.

This study provides comprehensive insights into the shared molecular mechanisms of BC and TC and identifies SMR3B as a promising prognostic biomarker and therapeutic target, offering new avenues for managing patients at dual risk.

## Linked entities

- **Genes:** SMR3B (submaxillary gland androgen regulated protein 3B) [NCBI Gene 10879], SFRP2 (secreted frizzled related protein 2) [NCBI Gene 6423], HLA-DPB1 (major histocompatibility complex, class II, DP beta 1) [NCBI Gene 3115]
- **Diseases:** breast cancer (MONDO:0004989), thyroid cancer (MONDO:0002108)

## Full-text entities

- **Genes:** HLA-DPB1 (major histocompatibility complex, class II, DP beta 1) [NCBI Gene 3115] {aka DPB1, HLA-DP, HLA-DP1B, HLA-DPB}, SFRP2 (secreted frizzled related protein 2) [NCBI Gene 6423] {aka FRP-2, SARP1, SDF-5}, TPSP1 (tryptase pseudogene 1) [NCBI Gene 100129339] {aka MP-2}, SMR3B (submaxillary gland androgen regulated protein 3B) [NCBI Gene 10879] {aka P-B, PBII, PRL3, PROL3, SMR1B}
- **Diseases:** BC (MESH:D001943), tumorigenesis (MESH:D063646), cancers (MESH:D009369), TC (MESH:D013964)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

7 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12833443/full.md

## References

45 references — full list in the complete paper: https://tomesphere.com/paper/PMC12833443/full.md

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Source: https://tomesphere.com/paper/PMC12833443