ArticleAnnals of surgical oncology2025
miR-6855-5p Enhances Radioresistance and Promotes Migration of Pancreatic Cancer by Inducing Epithelial-Mesenchymal Transition via Suppressing FOXA1: Potential of Plasma Exosomal miR-6855-5p as an Indicator of Radiosensitivity in Patients with Pancreatic Cancer.
Article in Annals of surgical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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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.
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Who cites it
8 citing papers in PubMed.
- Isolation and Characterization of Extracellular Vesicles from Human and Mouse Pancreatic Tissue.Bioengineering (Basel, Switzerland) · 2026Article
- Exosomal microRNA-4800-3p in portal vein blood promotes liver metastasis in pancreatic cancer by targeting PLAA.Scientific reports · 2026Article
- <p>Circ72309 modulates gemcitabine metabolism and gemcitabine sensitivity in pancreatic cancer: Serum Circ72309 levels as a potential predictor of treatment response</p>.International journal of oncology · 2026Article
- MicroRNA-based strategies to overcome the immunotherapy barrier in pancreatic ductal adenocarcinoma.Frontiers in immunology · 2026Review
- Targeting epigenetic regulators as a promising avenue to overcome cancer therapy resistance.Signal transduction and targeted therapy · 2025Review
- Decoding the pancreatic cancer microenvironment: The multifaceted regulation of microRNAs.Clinical and translational medicine · 2025Review
- Recent Exploration of Solid Cancer Biomarkers Hidden Within Urine or Blood Exosomes That Provide Fundamental Information for Future Cancer Diagnostics.Diagnostics (Basel, Switzerland) · 2025Review
- The potential of exosomes in regenerative medicine and in the diagnosis and therapies of neurodegenerative diseases and cancer.Frontiers in medicine · 2025Review
Corrections and comments
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Authors and funding
13 authors.
Funding
Abstract
backgroundWhether radiation should be added to neoadjuvant treatment remains controversial, and liquid biopsy has not been reported to predict radioresistance in pancreatic cancer (PC). We aimed to identify microRNAs (miRNAs) governing radioresistance in PC by utilizing peripheral plasma exosome samples and to verify their usefulness as biomarkers.
methodsmiRNA microarray analysis was conducted using pretreatment peripheral plasma exosomes from 10 patients with PC receiving neoadjuvant chemoradiotherapy (NACRT) in the discovery cohort. Patients were categorized into two groups (good and poor responders) based on treatment responses, and candidate miRNAs exhibiting differential expression between the two groups were identified. The radiosensitivity of PC cells was examined after miR-6855-5p overexpression. Next-generation sequencing (NGS) and TargetScan were used to explore the mechanisms of radioresistance. We investigated the correlation between miR-6855-5p expression levels in the pretreatment peripheral plasma exosomes of 28 patients in the validation cohort and the response to NACRT.
resultsmiR-6855-5p expression was higher in poor responders than in good responders. miR-6855-5p induces radioresistance in PC cells. NGS showed that epithelial-mesenchymal transition (EMT) was involved in miR-6855-5p-related radioresistance. Forkhead box protein A1 (FOXA1) was identified as a direct target of miR-6855-5p using NGS and TargetScan. Clinical examination of samples from the validation cohort revealed a tendency for patients with higher expression of miR-6855-5p in peripheral plasma exosomes to exhibit increased radioresistance (r = -0.5964).
conclusionsmiR-6855-5p regulates the radioresistance of PC by inducing EMT via suppressing FOXA1, and miR-6855-5p in peripheral plasma exosomes may be a biomarker for radioresistance of PC.
Indexed as
Identifiers
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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 Socratic graph.