ArticleOncology letters2020
Elevated expression of exosomal microRNA-21 as a potential biomarker for the early diagnosis of pancreatic cancer using a tethered cationic lipoplex nanoparticle biochip.
Article in Oncology letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.
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
33 citing papers in PubMed, 2 syntheses or guidelines pooled it, 41 citations in OpenAlex.
- Extracellular vesicle biomarkers for pancreatic cancer diagnosis: a systematic review and meta-analysis.BMC cancer · 2022Pooled it
- Advances in the Detection of Pancreatic Cancer Through Liquid Biopsy.Frontiers in oncology · 2021Pooled it
- Extracellular Vesicle Protein Panel Enables Early Lung Cancer Detection in a Large Clinical Cohort.Journal of extracellular vesicles · 2025Trial
- The updated role of exosomes in cancer diagnosis and therapy.Discover oncology · 2026Review
- Liquid Biopsy Frontiers in Pancreatic Cancer: Insights from Circulating Cell-Free Nucleic Acids.Cells · 2026Review
- Diagnostic methods for pancreatic cancer and their clinical applications (Review).Oncology letters · 2025Review
- Advances in the application of extracellular vesicles in precise diagnosis of pancreatic cancer.European journal of medical research · 2025Review
- Diagnostic and Prognostic Significance of Exosomes and Their Components in Patients With Cancers.Cancer medicine · 2025Review
- Exosomal Non-Coding RNAs in Pancreatic Cancer: From Mechanisms to Clinical Applications.Oncology research · 2025Review
- Extracellular Vesicle-Derived miRNAs as Diagnostic Biomarkers for Pancreatic Ductal Adenocarcinoma: A Systematic Review of Methodological Rigour and Clinical Applicability.Biomarker insights · 2025Review
- The Past, Present, and Future of Biomarkers for the Early Diagnosis of Pancreatic Cancer.Biomedicines · 2024Review
- Understanding the Conundrum of Pancreatic Cancer in the Omics Sciences Era.International journal of molecular sciences · 2024Review
- Clinical Application of Liquid Biopsy in Pancreatic Cancer: A Narrative Review.International journal of molecular sciences · 2024Review
- Exosomes: Emerging Insights into the Progression of Pancreatic Cancer.International journal of biological sciences · 2024Review
- Review
- Circulating Cell-Free Nucleic Acids as Biomarkers for Diagnosis and Prognosis of Pancreatic Cancer.Biomedicines · 2023Review
- The role of microRNAs in the modulation of cancer-associated fibroblasts activity during pancreatic cancer pathogenesis.Journal of physiology and biochemistry · 2023Review
- Diagnostic and Prognostic Role of Extracellular Vesicles in Pancreatic Cancer: Current Evidence and Future Perspectives.International journal of molecular sciences · 2023Review
- Pancreatic cancer and exosomes: role in progression, diagnosis, monitoring, and treatment.Frontiers in oncology · 2023Review
- Recent advances in nanotechnology-enabled biosensors for detection of exosomes as new cancer liquid biopsy.Experimental biology and medicine (Maywood, N.J.) · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pancreatic cancer (PC) has a poor prognosis due to the lack of effective molecular biomarkers for early diagnosis. Recent studies have investigated the use of exosomal microRNAs (exmiRs) as diagnostic biomarkers in cancer. The present study examined exmiR-21, exmiR-10b and exmiR-212-3p expression in patients with PC and healthy individuals. The expression levels of exmiR-21, exmiR-10b and exmiR-212-3p were examined in the peripheral blood plasma of 36 patients with PC and 65 healthy controls, using tethered cationic lipoplex nanoparticle biochip. The levels of exmiR-21 in the plasma of 34 mice were also evaluated. The expression levels of exmiR-21 and exmiR-10b were significantly greater in patients with PC compared with the control group. The receiver operating characteristic (ROC) analysis indicated that exmiR-21 had better diagnostic performance (P=0.0003; AUC, 0.7171) compared with the other two exmiRs. The diagnostic value of exmiR-21 improved when combined with exmiR-10b (P<0.0001; AUC, 0.791). Furthermore, exmiR-21 was capable of distinguishing patients with early-stage PC from controls and advanced-stage PC (P<0.05, early stage vs. healthy; P<0.001, early stage vs. advanced stage). The results of the present study revealed that the plasma levels of exmiR-21 and exmiR-10b were upregulated in patients with PC. The ROC analyses indicated that exmiR-21 had the best diagnostic performance among the three exmiRs. Furthermore, exmiR-21 was capable of discriminating patients with early-stage PC from healthy controls. These findings indicate the potential of determining the expression of exmiR-21 from serum using a tethered cationic lipoplex nanoparticle biochip as a novel non-invasive strategy for the early diagnosis of PC.
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.