ArticleFrontiers in oncology2022
Immunogenic Cell Death-Relevant Damage-Associated Molecular Patterns and Sensing Receptors in Triple-Negative Breast Cancer Molecular Subtypes and Implications for Immunotherapy.
Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.
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44 citing papers in PubMed, 57 citations in OpenAlex.
- Programmed cell death and metastatic evolution in breast cancer: the role of anoikis, necroptosis, and ferroptosis.Apoptosis : an international journal on programmed cell death · 2026Review
- Peptide-mediated immunomodulation of tumor microenvironment in triple-negative breast cancer: A comprehensive review.The Journal of pharmacology and experimental therapeutics · 2026Review
- DamageZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2026Article
- Sanguinarine and Doxorubicin Inhibit Heat Shock Protein HSPA5 and Trigger ER Stress in Breast Cancer.Cell biochemistry and biophysics · 2026Article
- Immunogenic Cell Death-relevant Molecular Patterns, Prognostic Genes, and Implications for Immunotherapy in Ovarian Cancer.Current medicinal chemistry · 2026Article
- To develop prognostic markers related to drug resistance in pancreatic cancer patients based on multiple machine learning methods.Annals of medicine and surgery (2012) · 2025Article
- TMB as a predictive biomarker for ICI response in TNBC: current evidence and future directions for augmented anti-tumor responses.Clinical and experimental medicine · 2025Review
- Ly96-mediated activation of TGF-β1/Smad2/3 signaling in hepatocellular carcinoma and its potential for nanoparticle-based therapy.Acta biochimica et biophysica Sinica · 2025Article
- Predictive value of MHC-related genes in cervical cancer: implications for immunotherapy and prognostic nomogram development.Discover oncology · 2025Article
- Development of a prognostic prediction model based on damage-associated molecular pattern for colorectal cancer applying bulk RNA-seq analysis.Scientific reports · 2025Article
- Machine learning‑based construction of damage‑associated molecular patterns related score identifies subtypes of pancreatic adenocarcinoma with distinct prognosis.Oncology letters · 2025Article
- Construction of a prognostic model and identification of key genes in liver hepatocellular carcinoma based on multi-omics data.Scientific reports · 2025Article
- Immunogenic Cell Death-related Signature Evaluates the Tumor Microenvironment and Predicts the Prognosis in Diffuse Large B-Cell Lymphoma.Biochemical genetics · 2025Article
- Article
- Immunogenic cell death-related genes as prognostic biomarkers and therapeutic insights in uterine corpus endometrial carcinoma: an integrative bioinformatics analysis.Frontiers in oncology · 2025Article
- Immunological features of various molecular subtypes of cervical cancer and their prognostic implications in the context of disulfidptosis.Frontiers in oncology · 2025Article
- Frontiers in thoracic oncology: new breakthroughs in molecular targets and immunotherapy.Frontiers in immunology · 2025Review
- Multi-omics features of immunogenic cell death in gastric cancer identified by combining single-cell sequencing analysis and machine learning.Scientific reports · 2024Article
- Development of an immunogenic cell death-related lncRNAs signature for prognostic risk assessment in gastric cancer.Translational cancer research · 2024Article
- Identification of immunogenic cell death-related damage-related molecular patterns (DAMPs) to predict outcomes in patients with head and neck squamous cell carcinoma.Journal of cancer research and clinical oncology · 2024Article
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Authors and funding
7 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
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.
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