ReviewInternational journal of biological sciences2024
Mesenchymal Stem Cell-Derived Extracellular Vesicles in Cancer Therapy Resistance: from Biology to Clinical Opportunity.
Review in International journal of biological sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
21 citing papers in PubMed, 24 citations in OpenAlex.
- Preclinical and Clinical Translation of Immunomodulatory Role of Mesenchymal Stem Cells in Cancer Therapy Era.Tissue engineering and regenerative medicine · 2026Review
- Mesenchymal stem cell-derived extracellular vesicle therapy in breast cancer: A systematic review and meta-analysis ofMolecular therapy. Oncology · 2026Review
- Therapeutic potential of umbilical cord-derived mesenchymal stem/stromal cells versus their conditioned media on treatment of polycystic ovary In-vivo.Molecular and cellular biochemistry · 2026Article
- Engineering of Extracellular Vesicles for Targeted Delivery of Prodigiosin.Biotech (Basel (Switzerland)) · 2026Article
- Review
- Strategies, Challenges and Application Prospects for Exosome Engineering Modifications in Tumor Targeted Therapeutics.International journal of nanomedicine · 2026Review
- Targeting Microbiome-Derived Exosomes to Overcome Cancer Therapy Resistance: Mechanisms, Implications, and Opportunities.Mini reviews in medicinal chemistry · 2026Review
- Integrating mass spectrometry-based multi-omic signatures of extracellular vesicles: from discovery to clinical translation.Clinical & translational immunology · 2026Review
- Review
- Exploring the therapeutic potential of human umbilical cord mesenchymal stem cells derived extracellular vesicles in cancer immunotherapy.Discover oncology · 2025Review
- FOXO1-NMNAT3 axis dysregulation promotes doxorubicin cardiotoxicity: NADRedox report : communications in free radical research · 2025Article
- Surface-Engineered Natural Killer Cell-Derived Small Extracellular Vesicles Induce Potent Anti-Tumour Effects in Lung Cancer Cells.Journal of extracellular biology · 2025Article
- Revolutionizing cancer treatment: engineering mesenchymal stem cell-derived small extracellular vesicles.Cancer cell international · 2025Review
- A review on mesenchymal stem cells and their secretome in hepatocellular carcinogenesis and its related signaling pathways: recent update.Discover oncology · 2025Review
- Exosome-based miRNA delivery: Transforming cancer treatment with mesenchymal stem cells.Regenerative therapy · 2025Review
- Exploring two tumor treatment strategies: effectiveness of ribosome inactivating proteins and mesenchymal stem cells/MSC derived extracellular vesicles in cancer treatment.Frontiers in oncology · 2025Review
- Extracellular vesicles, RNA sequencing, and bioinformatic analyses: Challenges, solutions, and recommendations.Journal of extracellular vesicles · 2024Review
- Role of Exosomes in Cancer and Aptamer-Modified Exosomes as a Promising Platform for Cancer Targeted Therapy.Biological procedures online · 2024Review
- Extracellular Vesicles in Lung Cancer: Implementation in Diagnosis and Therapeutic Perspectives.Cancers · 2024Review
- Overcoming drug resistance through extracellular vesicle-based drug delivery system in cancer treatment.Cancer drug resistance (Alhambra, Calif.) · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mesenchymal stem cells (MSCs) are a type of stromal cells characterized by their properties of self-renewal and multi-lineage differentiation, which make them prominent in regenerative medicine. MSCs have shown significant potential for the treatment of various diseases, primarily through the paracrine effects mediated by soluble factors, specifically extracellular vesicles (EVs). MSC-EVs play a crucial role in intercellular communication by transferring various bioactive substances, including proteins, RNA, DNA, and lipids, highlighting the contribution of MSC-EVs in regulating cancer development and progression. Remarkably, increasing evidence indicates the association between MSC-EVs and resistance to various types of cancer treatments, including radiotherapy, chemotherapy, targeted therapy, immunotherapy, and endocrinotherapy. In this review, we provide an overview of the recent advancements in the biogenesis, isolation, and characterization of MSC-EVs, with an emphasis on their functions in cancer therapy resistance. The clinical applications and future prospects of MSC-EVs for mitigating cancer therapy resistance and enhancing drug delivery are also discussed. Elucidating the role and mechanism of MSC-EVs in the development of treatment resistance in cancer, as well as evaluating the clinical significance of MSC-EVs, is crucial for advancing our understanding of tumor biology. Meanwhile, inform the development of effective treatment strategies for cancer patients in the future.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.