ArticleOncology reports2020
Differentially expressed microRNAs in exosomes of patients with breast cancer revealed by next‑generation sequencing.
Article in Oncology reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
35 citing papers in PubMed, 1 synthesis or guideline pooled it, 63 citations in OpenAlex.
- Exosomes and Triple-Negative Breast Cancer: Current Knowledge and Clinical Significance.International journal of molecular sciences · 2026Pooled it
- Clinical Applications of Blood-Derived Extracellular Vesicle Biomarkers in Breast Cancer: A Scoping Review.International journal of molecular sciences · 2026Article
- Extracellular Vesicles Derived from Breast Cancer Cells: Emerging Biomarkers of Tumor Progression and Metastasis.Biomolecules · 2025Review
- An update on cancer stem cell survival pathways involved in chemoresistance in triple-negative breast cancer.Future oncology (London, England) · 2025Review
- Extracellular vesicles and miRNA-based therapies in triple-negative breast cancer: advances and clinical perspectives.Extracellular vesicles and circulating nucleic acids · 2025Review
- Extracellular vesicle dynamics in COPD: understanding the role of miR-422a, SPP1 and IL-17 A in smoking-related pathology.BMC pulmonary medicine · 2024Article
- The role of non-coding RNAs in extracellular vesicles in breast cancer and their diagnostic implications.Oncogene · 2023Review
- Extracellular Vesicles-A Source of RNA Biomarkers for the Detection of Breast Cancer in Liquid Biopsies.Cancers · 2023Article
- Deciphering the Functional Status of Breast Cancers through the Analysis of Their Extracellular Vesicles.International journal of molecular sciences · 2023Review
- Review
- Advanced technologies for molecular diagnosis of cancer: State of pre-clinical tumor-derived exosome liquid biopsies.Materials today. Bio · 2023Article
- Predictive miRNAs Patterns in Blood of Breast Cancer Patients Demonstrating Resistance Towards Neoadjuvant Chemotherapy.Breast cancer (Dove Medical Press) · 2023Article
- MicroRNA profile of extracellular vesicles released by Müller glial cells.Frontiers in cellular neuroscience · 2023Article
- Addressing the Clinical Feasibility of Adopting Circulating miRNA for Breast Cancer Detection, Monitoring and Management with Artificial Intelligence and Machine Learning Platforms.International journal of molecular sciences · 2022Review
- Exosome RNA Sequencing as a Tool in the Search for Cancer Biomarkers.Non-coding RNA · 2022Review
- Review
- Lactadherin: From a Well-Known Breast Tumor Marker to a Possible Player in Extracellular Vesicle-Mediated Cancer Progression.International journal of molecular sciences · 2022Review
- Evaluation of exosomal non-coding RNAs in cancer using high-throughput sequencing.Journal of translational medicine · 2022Review
- Hallmarks of exosomes.Future science OA · 2022Review
- Extracellular Vesicles and Their Associated miRNAs as Potential Biomarkers in Intracranial Aneurysm.Frontiers in molecular biosciences · 2022Review
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
MicroRNAs (miRNAs/miRs) in exosomes play crucial roles in the onset, progression and metastasis of cancer by regulating the stability of target mRNAs or by inhibiting translation. In the present study, differentially expressed miRNAs were identified in exosomes of 27 breast cancer patients and 3 healthy controls using RNA sequencing. The differentially expressed microRNAs were selected by bioinformatic analysis. Subjects were followed up for 2 years and exosomal miRNA profiles were compared between patients with and without recurrence of breast cancer. A total of 30 complementary DNA libraries were constructed and sequenced and 1,835 miRNAs were detected. There were no significant differences in the expression of miRNAs between the basal‑like, human epidermal growth factor receptor‑2+, luminal A, luminal B and healthy control (HC) groups. A total of 54 differentially expressed miRNAs were identified in triple‑negative breast cancer (TNBC) patients vs. HCs, including 20 upregulated and 34 downregulated miRNAs. The results of the reverse transcription‑quantitative PCR were consistent with this. Receiver operating characteristic curve analyses indicated that miR‑150‑5p [area under the curve (AUC)=0.705, upregulated], miR‑576‑3p (AUC=0.691, upregulated), miR‑4665‑5p (AUC=0.681, upregulated) were able to distinguish breast cancer patients with recurrence from those without recurrence. In conclusion, the present results indicated differences in miRNA expression profiles between patients with TNBC and healthy controls. Certain exosomal miRNAs were indicated to have promising predictive value as biomarkers for distinguishing breast cancer with recurrence from non‑recurrence, which may be utilized for preventive strategies.
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