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Updated: Sep 26, 2025

Studying Triple Negative Breast Cancer Using Orthotopic Breast Cancer Model
Published on: March 20, 2020
Immunogenic Cell Death-Relevant Damage-Associated Molecular Patterns and Sensing Receptors in Triple-Negative Breast
Ming Xu1,2, Jin-Hua Lu1, Ya-Zhen Zhong1
1Department of Oncology, Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University, Zhejiang, China.
Objectives:
Triple-negative breast cancer (TNBC) is defined as a highly aggressive type of breast cancer which lacks specific biomarkers and drug targets. Damage-associated molecular pattern (DAMP)-induced immunogenic cell death (ICD) may influence the outcome of immunotherapy for TNBC patients. This study aims to develop a DAMPs gene signature to classify TNBC patients and to further predict their prognosis and immunotherapy outcome.
Methods:
We identified the DAMPs-associated subtypes of 330 TNBCs using K-means analysis. Differences in immune status, genomic alterations, and predicted immunotherapy outcome were compared among each subtype.
Results:
A total of 330 TNBCs were divided into three subtypes according to DAMPs gene expression: the nuclear DAMPs subtype, featuring the upregulation of nuclear DAMPs; the inflammatory DAMPs subtype, characterized by the gene set enrichment of the adaptive immune system and cytokine signaling in the immune system; and the DAMPs-suppressed subtype, having the lowest level of ICD-associated DAMPs. Among them, the inflammatory subtype patients had the most favorable survival, while the DAMPs-suppressed subtype was associated with the worst prognosis. The DAMPs subtyping system was successfully validated in the TCGA cohort. Furthermore, we systemically revealed the genomic alterations among the three DAMPs subtypes. The inflammatory DAMPs subtype was predicted to have the highest response rate to immunotherapy, suggesting that the constructed DAMPs clustering had potential for immunotherapy efficacy prediction.
Conclusion:
We established a novel ICD-associated DAMPs subtyping system in TNBC, and DAMPs expression might be a valuable biomarker for immunotherapy strategies. Our work could be helpful to the development of new immunomodulators and may contribute to the development of precision immunotherapy for TNBC.
Insights
Triple-negative breast cancer (TNBC) patients can be classified into three subtypes based on damage-associated molecular patterns (DAMPs). This DAMPs subtyping system predicts prognosis and response to immunotherapy, offering potential for precision cancer medicine.
Area of Science:
- Oncology
- Immunology
- Genomics
Background:
- Triple-negative breast cancer (TNBC) is an aggressive subtype lacking targeted therapies.
- Damage-associated molecular patterns (DAMPs) and immunogenic cell death (ICD) influence immunotherapy outcomes in TNBC.
- Identifying predictive biomarkers is crucial for effective TNBC treatment strategies.
Purpose of the Study:
- To develop a DAMPs gene signature for classifying TNBC patients.
- To predict prognosis and immunotherapy response based on DAMPs-driven subtypes.
- To explore genomic alterations associated with DAMPs subtypes in TNBC.
Main Methods:
- K-means clustering was employed to identify DAMPs-associated subtypes in 330 TNBC samples.
- Immune status, genomic alterations, and predicted immunotherapy outcomes were compared across subtypes.
- The developed subtyping system was validated using the TCGA cohort.
Main Results:
- Three TNBC subtypes were identified: nuclear DAMPs, inflammatory DAMPs, and DAMPs-suppressed.
- The inflammatory DAMPs subtype showed the most favorable survival, while the DAMPs-suppressed subtype had the worst prognosis.
- The inflammatory subtype demonstrated the highest predicted response rate to immunotherapy.
Conclusions:
- A novel ICD-associated DAMPs subtyping system for TNBC was established.
- DAMPs expression serves as a potential biomarker for guiding immunotherapy strategies.
- This subtyping system may facilitate the development of novel immunomodulators and precision immunotherapy for TNBC.
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