ArticleInternational journal of molecular medicine2020
Exosomal microRNA‑146a derived from mesenchymal stem cells increases the sensitivity of ovarian cancer cells to docetaxel and taxane via a LAMC2‑mediated PI3K/Akt axis.
Article in International journal of molecular medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 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
63 citing papers in PubMed, 120 citations in OpenAlex.
- Potential Role of Exosomes in the Pathogenesis, Diagnosis, and Treatment of Ovarian Cancer.Cancers · 2026Review
- Structural maintenance of chromosome protein 1A exacerbates liver fibrosis by enhancing hepatic stellate cell activation and extracellular matrix synthesis via laminin subunit gamma 2 activation.Journal of cell communication and signaling · 2026Article
- Therapeutic potential of TMSC-Exo for non-alcoholic fatty liver disease using the liver-on-a-chip model.Journal of translational internal medicine · 2026Article
- Exosomes in Ovarian Cancer: Promoters, Biomarkers, and Therapeutic Targets.International journal of nanomedicine · 2026Review
- A multidimensional landscape of extracellular vesicle-mediated tumor drug resistance: mechanisms, biomarkers, engineered drug delivery, and clinical translation.Extracellular vesicles and circulating nucleic acids · 2026Review
- Long Non-Coding, Micro, and Circular RNAs in Ovarian Cancer Metastasis: Pathways and Treatment Approaches.Reproductive sciences (Thousand Oaks, Calif.) · 2025Review
- Exosomes, autophagy, and cancer: A complex triad.International journal of cancer · 2025Review
- Bone Marrow Mesenchymal Stem Cell-Derived Exosomes Modulate Chemoradiotherapy Response in Cervical Cancer Spheroids.Pharmaceuticals (Basel, Switzerland) · 2025Article
- Exosomes in ovarian cancer: Impact on drug resistance and advances in SERS detection techniques.Journal of pharmaceutical analysis · 2025Review
- Bone mesenchymal stem cell‑derived exosome‑encapsulated microRNA‑125b‑5p inhibits ovarian cancer progression via DDX5 downregulation.Oncology letters · 2025Article
- Emerging roles of exosomes in diagnosis, prognosis, and therapeutic potential in ovarian cancer: a comprehensive review.Cancer gene therapy · 2025Review
- Emerging role of exosomes in cancer therapy: progress and challenges.Molecular cancer · 2025Review
- From biomolecules to breakthroughs: exosomes as next-generation theranostics in female infertility.Frontiers in cell and developmental biology · 2025Review
- Small Extracellular Vesicles: Unraveling Their Roles in Ovarian Cancer Progression and Tapping Into Clinical Application Potential.International journal of nanomedicine · 2025Review
- Biological Nanotherapeutics Derived From Human Umbilical Cord Mesenchymal Stem Cells: Mechanisms and Translational Potential in Multisystem Therapies for Regeneration and Oncology.International journal of nanomedicine · 2025Review
- A Critical Review on microRNAs as Prognostic Biomarkers in Laryngeal Carcinoma.International journal of molecular sciences · 2024Review
- Unraveling the extracellular vesicle network: insights into ovarian cancer metastasis and chemoresistance.Molecular cancer · 2024Review
- Exploiting the potential of the ubiquitin-proteasome system in overcoming tyrosine kinase inhibitor resistance in chronic myeloid leukemia.Genes & diseases · 2024Review
- Mesenchymal stem cells: Guardians of women's health.Regenerative therapy · 2024Review
- Exosomes in diagnostic and therapeutic applications of ovarian cancer.Journal of ovarian research · 2024Review
3 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The carrier role of exosomes from human umbilical cord mesenchymal stem cells (hUCMSCs) containing microRNAs (miRNAs) has been implicated in gene and drug therapy. The aim of the present study was to investigate the role of exosomal microRNA‑146a (miR‑146a) from hUCMSCs in ovarian cancer (OC). Following the generation of docetaxel (DTX)‑resistant SKOV3 cells and taxane‑resistant A2780 cells, exosomes were isolated from hUCMSCs and added to the chemoresistant cells. Microarray analysis revealed that miR‑146a expression was upregulated in DTX/SKOV3 cells among 15 ectopically expressed miRNAs. Analysis using the StarBase and miRSearch databases demonstrated that miR‑146a targeted laminin γ2 (LAMC2), which was further verified using dual‑luciferase reporter assays. Subsequently, miR‑146a inhibitor or LAMC2 overexpression vectors were transfected into hUCMSCs or OC cells, respectively, and their effects on growth and chemoresistance in OC cells were assessed. The hUCMSC‑derived exosomes reduced cell growth and chemoresistance in OC. Furthermore, hUCMSC‑derived exosomes with miR‑146a expression knocked down increased OC cell growth and chemoresistance, which was mediated by the PI3K/Akt signaling pathway via LAMC2.
Indexed as
Identifiers
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.