ArticleAmerican journal of cancer research2015
Noninvasive urinary miRNA biomarkers for early detection of pancreatic adenocarcinoma.
Article in American journal of cancer research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 1 of them a synthesis that pooled it.
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Who cites it
69 citing papers in PubMed, 1 synthesis or guideline pooled it, 113 citations in OpenAlex.
- The role of novel biomarkers in the early diagnosis of pancreatic cancer: A systematic review and meta-analysis.PloS one · 2025Pooled it
- Development and Analytical Evaluation of Urine-Based Test for Detection of Pancreatic Cancer.Diagnostics (Basel, Switzerland) · 2026Article
- Liquid Biopsy-Derived microRNAs in Pancreatic Ductal Adenocarcinoma: Matrix-Specific Evidence and Translational Challenges.International journal of molecular sciences · 2026Review
- Urinary biomarkers for lung cancer detection.The journal of liquid biopsy · 2026Article
- Review
- Challenges of early detection of pancreatic cancer.The Journal of clinical investigation · 2025Review
- Emerging Tumor Biomarkers in Pancreatic Cancer and Their Clinical Implications.Current issues in molecular biology · 2025Review
- The Past, Present, and Future of Biomarkers for the Early Diagnosis of Pancreatic Cancer.Biomedicines · 2024Review
- A noninvasive urinary microRNA-based assay for the detection of pancreatic cancer from early to late stages: a case control study.EClinicalMedicine · 2024Article
- Urinary microRNA-210-3p as a novel and non-invasive biomarker for the detection of pancreatic cancer, including intraductal papillary mucinous carcinoma.BMC cancer · 2024Article
- MiR-223-3p in Cancer Development and Cancer Drug Resistance: Same Coin, Different Faces.International journal of molecular sciences · 2024Review
- A Quest for Survival: A Review of the Early Biomarkers of Pancreatic Cancer and the Most Effective Approaches at Present.Biomolecules · 2024Review
- Inhibition of Bromodomain Proteins Enhances Oncolytic HAdVC5 Replication and Efficacy in Pancreatic Ductal Adenocarcinoma (PDAC) Models.International journal of molecular sciences · 2024Article
- MicroRNAs: emerging biomarkers and therapeutic targets in pancreatic cancer.Frontiers in molecular biosciences · 2024Review
- Circulating microRNAs as Potential Biomarkers in Pancreatic Cancer-Advances and Challenges.International journal of molecular sciences · 2023Review
- Review
- Pancreatic Cancer Biomarkers: Oncogenic Mutations, Tissue and Liquid Biopsies, and Radiomics-A Review.Digestive diseases and sciences · 2023Review
- Automated classification of urine biomarkers to diagnose pancreatic cancer using 1-D convolutional neural networks.Journal of biological engineering · 2023Article
- Urine biomarkers enable pancreatic cancer detection up to 2 years before diagnosis.International journal of cancer · 2023Article
- Diagnosis of Pancreatic Cancer Using miRNA30e Biosensor.Interdisciplinary sciences, computational life sciences · 2022Article
9 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
14 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Currently, the majority of patients diagnosed with pancreatic ductal adenocarcinoma (PDAC) present with locally invasive and/or metastatic disease, resulting in five-year survival of less than 5%. The development of an early diagnostic test is, therefore, expected to significantly impact the patient's prognosis. In this study, we successfully evaluated the feasibility of identifying diagnostic cell free microRNAs (miRNAs) for early stage PDAC, through the analysis of urine samples. Using Affymetrix microarrays, we established a global miRNA profile of 13 PDAC, six chronic pancreatitis (CP), and seven healthy (H) urine specimens. Selected differentially expressed miRNAs were subsequently investigated using an independent technique (RT-PCR) on 101 urine samples including 46 PDAC, 29 CP and 26 H. Receiver operating characteristic (ROC) and logistic regression analyses were applied to determine the discriminatory potential of the candidate miRNA biomarkers. Three miRNAs (miR-143, miR-223, and miR-30e) were significantly over-expressed in patients with Stage I cancer when compared with age-matched healthy individuals (P=0.022, 0.035 and 0.04, respectively); miR-143, miR-223 and miR-204 were also shown to be expressed at higher levels in Stage I compared to Stages II-IV PDAC (P=0.025, 0.013 and 0.008, respectively). Furthermore, miR-223 and miR-204 were able to distinguish patients with early stage cancer from patients with CP (P=0.037 and 0.036). Among the three biomarkers, miR-143 was best able to differentiate Stage I (n=6) from healthy (n=26) with area under the curve (AUC) of 0.862 (95% CI 0.695-1.000), with sensitivity (SN) of 83.3% (95% CI 50.0-100.0), and specificity (SP) of 88.5% (95% CI 73.1-100.0). The combination of miR-143 with miR-30e was significantly better at discriminating between these two groups, achieving an AUC of 0.923 (95% CI 0.793-1.000), with SN of 83.3% (95% CI 50.0-100.0) and SP of 96.2% (95% CI 88.5-100.0). In this feasibility study, we demonstrate for the first time the utility of miRNA biomarkers for non-invasive, early detection of PDAC in urine specimens.
Indexed as
Identifiers
26807325PMC4697691W2395563932What 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.