ReviewJournal of pharmaceutical analysis2025
Exosomes in ovarian cancer: Impact on drug resistance and advances in SERS detection techniques.
Review in Journal of pharmaceutical analysis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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
12 citing papers in PubMed.
- Background-Free, Label-Free, and Reproducible SERS via Plasma-Halide-Engineered Gold Nanoparticles.ACS measurement science au · 2026Article
- Limited Clinical Benefit of Immune Checkpoint Inhibition in Ovarian Cancer with Opportunities in Selected Subtypes.International journal of molecular sciences · 2026Review
- Potential Role of Exosomes in the Pathogenesis, Diagnosis, and Treatment of Ovarian Cancer.Cancers · 2026Review
- Investigating PAK inhibition in combination with PD-1 blockade to enhance cytotoxic CD8+ T cell-mediated killing and suppress invasion of ovarian cancer cells.British journal of cancer · 2026Article
- Exosomal Cargo-Derived Mediators of Ovarian Cancer Chemoresistance.Molecular diagnosis & therapy · 2026Review
- The role of small extracellular vesicles in ovarian cancer drug resistance: from bench clues to clinical implications.Journal of ovarian research · 2026Review
- Terpenoids: Emerging Natural Modulators for Reversing ABC Transporter-Mediated Multidrug Resistance in Cancer Chemotherapy.Pharmaceuticals (Basel, Switzerland) · 2026Review
- Machine-Learning-Enabled Raman Spectroscopy Refines Indocyanine Green Fluorescence Boundaries for Precise Glioblastoma Margin Delineation.Research (Washington, D.C.) · 2026Article
- Application of surface-enhanced Raman scattering combined with artificial intelligence for multiplex detection of chemotherapeutic agents used in solid tumors.Analytical and bioanalytical chemistry · 2025Article
- Translational Advances in Lipid Nanoparticle Drug Delivery Systems for Cancer Therapy: Current Status and Future Horizons.Pharmaceutics · 2025Review
- Explainable AI-Based Feature Selection Approaches for Raman Spectroscopy.Diagnostics (Basel, Switzerland) · 2025Article
- Nanomaterials targeting cancer stem cells to overcome drug resistance and tumor recurrence.Frontiers in oncology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ovarian cancer is a prevalent gynecological malignancy with high mortality and low survival rates. The absence of specific symptoms in early stages often leads to late-stage diagnoses. Standard treatment typically includes surgery followed by platinum and paclitaxel chemotherapy. Exosomes, nanoscale vesicles released by various cell types, are key in intercellular communication, carrying biologically active molecules like proteins, lipids, enzymes, mRNA, and miRNAs. They are involved in tumor microenvironment remodeling, angiogenesis, metastasis, and chemoresistance in ovarian cancer. Emerging research highlights exosomes as drug carriers and therapeutic targets to suppress anti-tumor immune responses. Surface-enhanced Raman scattering (SERS) enables multiplexed, sensitive, and rapid detection of exosome surface proteins, offering advantages such as low background noise, no photobleaching, robustness, and high sensitivity over other detection methods. This review explores the relationship between exosomes and chemoresistance in ovarian cancer, examining the mechanisms by which exosomes contribute to drug resistance and their clinical implications. The goal is to provide new insights into chemoresistance mechanisms, improve diagnosis and intervention strategies, and enhance chemotherapy sensitivity in clinical treatments. In addition, the prospects of exosomes as drug carriers to resist chemical resistance and improve the survival of ovarian cancer patients are summarized. This article emphasizes the role of SERS in detecting ovarian cancer exosomes and advances in exosome detection.
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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.