MZB1-Driven Endoplasmic reticulum stress model as a predictor of breast cancer progression and survival

Endoplasmic reticulum (ER) stress and its associated unfolded protein response (UPR) have been demonstrated to play a crucial role in cancer's progression, but their prognostic significance in breast cancer (BC) remains unclear. In this study, a reliable ER-related gene signature was developed for the purpose of predicting BC prognosis and investigating the associated immune landscape. By utilizing public datasets and analytical methods, we developed a 16 ER-related gene risk signature and verified its efficacy in predicting prognosis in independent patient groups. Patients in the high-risk group exhibited significantly poorer survival rates. Single-cell analysis revealed that the low-risk group exhibited stronger immune interactions. Conversely, the high-risk group exhibiting elevated immune checkpoints may signify an immunosuppressive microenvironment or heightened sensitivity to immune checkpoint inhibitor therapy. In vitro and vivo experiments confirmed that knocking down the expression of Marginal Zone B And B1 Cell Specific Protein (MZB1) significantly inhibited the proliferation, invasion, and tumorigenesis of breast cancer. The 16 ER-related gene signature is capable of effectively categorizing breast cancer patients into different risk levels, thereby providing a basis for personalized therapy. MZB1 has been identified as a significant regulatory factor, suggesting its potential as a target for the treatment of breast cancer.

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Publication Details

Journal
Functional & Integrative Genomics
Published
2025-08-29
DOI
https://doi.org/10.1007/s10142-025-01676-0
Primary Topic
Endoplasmic Reticulum Stress and Disease
Type
article
Field-Weighted Citation Impact
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article

MZB1-Driven Endoplasmic reticulum stress model as a predictor of breast cancer progression and survival

Purong Zhang, Yuying Wang, Rui Wang, Luo Ke et al.
Functional & Integrative Genomics
Endoplasmic Reticulum Stress and Disease
article

MZB1-Driven Endoplasmic reticulum stress model as a predictor of breast cancer progression and survival

Purong Zhang, Yuying Wang, Rui Wang, Luo Ke, Ning Zhang
article en

Abstract

Endoplasmic reticulum (ER) stress and its associated unfolded protein response (UPR) have been demonstrated to play a crucial role in cancer's progression, but their prognostic significance in breast cancer (BC) remains unclear. In this study, a reliable ER-related gene signature was developed for the purpose of predicting BC prognosis and investigating the associated immune landscape. By utilizing public datasets and analytical methods, we developed a 16 ER-related gene risk signature and verified its efficacy in predicting prognosis in independent patient groups. Patients in the high-risk group exhibited significantly poorer survival rates. Single-cell analysis revealed that the low-risk group exhibited stronger immune interactions. Conversely, the high-risk group exhibiting elevated immune checkpoints may signify an immunosuppressive microenvironment or heightened sensitivity to immune checkpoint inhibitor therapy. In vitro and vivo experiments confirmed that knocking down the expression of Marginal Zone B And B1 Cell Specific Protein (MZB1) significantly inhibited the proliferation, invasion, and tumorigenesis of breast cancer. The 16 ER-related gene signature is capable of effectively categorizing breast cancer patients into different risk levels, thereby providing a basis for personalized therapy. MZB1 has been identified as a significant regulatory factor, suggesting its potential as a target for the treatment of breast cancer.

Functional & Integrative GenomicsVol. 25(1)
North Sichuan Medical University (CN), Guiyang Medical University (CN), Affiliated Hospital of Guizhou Medical University (CN), Sichuan Cancer Hospital (CN), Union Hospital (CN)
Good health and well-being
Openalex Percentile: Top 76%
Endoplasmic Reticulum Stress and Disease
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MZB1-Driven Endoplasmic reticulum stress model as a predictor of breast cancer progression and survival — Purong Zhang, Yuying Wang, et al. · Functional & Integrative Genomics (2025) | TGRS Research Map | TGRS