ArticleScientific reports2023
Identification of an exosome-related signature associated with prognosis and immune infiltration in breast cancer.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Identification and validation of exosome-related biomarkers in pediatric glioblastoma.Discover oncology · 2026Article
- Identifying the relationship between exosome genes and breast cancer risk using bioinformatics and machine learning methods.Discover oncology · 2026Article
- Exosomal miR-27a-5p Helps Differentiate Parathyroid Carcinoma From Adenoma and Inhibits Apoptosis in Parathyroid Carcinoma Cells.International journal of endocrinology · 2026Article
- Machine learning-based identification of exosome-related biomarkers and drugs prediction in nasopharyngeal carcinoma.Discover oncology · 2025Article
- Machine learning developed immune-related exosome signature for prognosis and immunotherapy benefit in bladder cancer.Discover oncology · 2025Article
- The Role of Exosomes in Cancer Progression and Therapy.Biology · 2025Review
- Identification of exosome-related gene signature as a promising diagnostic and therapeutic tool for breast cancer.Heliyon · 2024Article
- Article
- Intercellular crosstalk between cancer cells and cancer-associated fibroblasts via exosomes in gastrointestinal tumors.Frontiers in oncology · 2024Review
- Identification of an exosome-related signature associated with prognosis and immune infiltration in breast cancer.Scientific reports · 2023Article
- Identification of m1A/m6A/m5C/m7G-related genes and clusters associated with neuropathic pain.Frontiers in neurologyArticle
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Authors and funding
6 authors.
Funding
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Abstract
Exosomes, nanosized vesicles, play a vital role in breast cancer (BC) occurrence, development, and drug resistance. Hence, we proceeded to study the potential prognostic value of exosome-related genes and their relationship to the immune microenvironment in BC. 121 exosome-related genes were provided by the ExoBCD database, and 7 final genes were selected to construct the prognostic signature. Besides, the expression levels of the 7 exosome-related genes were validated by the experiment in BC cell lines. Based on the signature, BC patients from the training and validation cohorts were separated into low- and high-risk groups. Subsequently, the R clusterProfiler package was applied to identify the distinct enrichment pathways between high-risk groups and low-risk groups. The relevance of the tumor immune microenvironment and exosome-related gene risk score were analyzed in BC. Eventually, the different expression levels of immune checkpoint-related genes were compared between the two risk groups. Based on the risk model, the low-risk groups were identified with a higher survival rate both in the training and validation cohorts. A better overall survival was revealed in patients with higher scores evaluated by the estimation of stromal and immune cells in malignant tumor tissues using expression (ESTIMATE) algorithm. Subsequently, BC patients with lower risk scores were indicated by higher expression levels of some immune checkpoint-related genes and immune cell infiltration. Exosomes are closely associated with the prognosis and immune cell infiltration of BC. These findings may contribute to improving immunotherapy and provide a new vision for BC treatment strategies.
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