Cell–cell junction gene signatures as subtype-specific prognostic biomarkers in breast cancer

Cell-cell junctions (CCJs) are essential for maintaining epithelial integrity, and adhesion-related molecules have long been implicated in breast cancer progression. However, the subtype-specific prognostic significance of CCJ-related gene expression patterns within individual intrinsic breast cancer subtypes has not been systematically characterized. We analyzed 179 genes annotated to the Gene Ontology term "cell-cell junction organization" (GO:0045216) across intrinsic breast cancer subtypes using the METABRIC and The Cancer Genome Atlas (TCGA) datasets. Subtype-specific prognostic CCJ genes were identified using multivariate Cox proportional hazards models for disease-specific survival and integrated into CCJ gene expression signatures. The prognostic performance was validated in an independent cohort (SCAN-B). Elevated CCJ signature scores were associated with poorer survival across subtypes, with particularly strong effects in Luminal B (LumB) and Basal-like (Basal) tumors. Person-year analyses indicated that high CCJ scores predicted an increased incidence of early recurrence (0-5 years) in these aggressive subtypes. Pathway enrichment analyses revealed that high-score tumors exhibited upregulation of extracellular matrix organization and matrisome-related pathways. Single-cell RNA sequencing further demonstrated that LumB CCJ genes (e.g., PARD6B, CDH3) were predominantly expressed in tumor epithelial cells, whereas the Basal CCJ signature reflected contributions from epithelial (e.g., MARVELD2) and endothelial (e.g., RAMP2) cells. Collectively, CCJ signatures stratify prognosis and capture subtype-specific cellular and microenvironmental features in breast cancer.

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Publication Details

Journal
PLoS ONE
Published
2026-06-29
DOI
https://doi.org/10.1371/journal.pone.0352254
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00

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article

Cell–cell junction gene signatures as subtype-specific prognostic biomarkers in breast cancer

Kazunori Akimoto, Shoma Tamori, Shigeo Ohno, HAYATO ISHII et al.
PLoS ONE
Single-cell and spatial transcriptomics
article

Cell–cell junction gene signatures as subtype-specific prognostic biomarkers in breast cancer

Kazunori Akimoto, Shoma Tamori, Shigeo Ohno, HAYATO ISHII, AYAKA NAKAHARA, Kyoka Nishiyama, Kazunori Sasaki
article en

Abstract

Cell-cell junctions (CCJs) are essential for maintaining epithelial integrity, and adhesion-related molecules have long been implicated in breast cancer progression. However, the subtype-specific prognostic significance of CCJ-related gene expression patterns within individual intrinsic breast cancer subtypes has not been systematically characterized. We analyzed 179 genes annotated to the Gene Ontology term "cell-cell junction organization" (GO:0045216) across intrinsic breast cancer subtypes using the METABRIC and The Cancer Genome Atlas (TCGA) datasets. Subtype-specific prognostic CCJ genes were identified using multivariate Cox proportional hazards models for disease-specific survival and integrated into CCJ gene expression signatures. The prognostic performance was validated in an independent cohort (SCAN-B). Elevated CCJ signature scores were associated with poorer survival across subtypes, with particularly strong effects in Luminal B (LumB) and Basal-like (Basal) tumors. Person-year analyses indicated that high CCJ scores predicted an increased incidence of early recurrence (0-5 years) in these aggressive subtypes. Pathway enrichment analyses revealed that high-score tumors exhibited upregulation of extracellular matrix organization and matrisome-related pathways. Single-cell RNA sequencing further demonstrated that LumB CCJ genes (e.g., PARD6B, CDH3) were predominantly expressed in tumor epithelial cells, whereas the Basal CCJ signature reflected contributions from epithelial (e.g., MARVELD2) and endothelial (e.g., RAMP2) cells. Collectively, CCJ signatures stratify prognosis and capture subtype-specific cellular and microenvironmental features in breast cancer.

PLoS ONEVol. 21(6)
Tokyo University of Pharmacy and Life Sciences (JP), Tokyo University of Science (JP), Juntendo University (JP)
Promotion and Mutual Aid Corporation for Private Schools of Japan, Japan Society for the Promotion of Science, Moonshot Research and Development Program
No poverty
Openalex Percentile: Top 11%
Single-cell and spatial transcriptomics
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