ArticleOncotarget2020
A microRNA-based signature predicts local-regional failure and overall survival after pancreatic cancer resection.
Article in Oncotarget, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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.
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Who cites it
7 citing papers in PubMed.
- MicroRNAs: emerging biomarkers and therapeutic targets in pancreatic cancer.Frontiers in molecular biosciences · 2024Review
- Selection of patients with pancreatic adenocarcinoma who may benefit from radiotherapy.Radiation oncology (London, England) · 2023Review
- Development and validation of a four-lipid metabolism gene signature for diagnosis of pancreatic cancer.FEBS open bio · 2021Article
- Development of a MicroRNA Signature Predictive of Recurrence and Survival in Pancreatic Ductal Adenocarcinoma.Cancers · 2021Article
- Serum miRNA Profiling for Early PDAC Diagnosis and Prognosis: A Retrospective Study.Biomedicines · 2021Article
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Corrections and comments
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Authors and funding
13 authors.
Funding
Abstract
Resectable pancreatic adenocarcinoma (PC) is generally managed with surgery followed by chemotherapy, but the role of postoperative chemoradiation (pCRT) is controversial. We sought to identify a microRNA (miRNA) expression profile associated with higher risk for local-regional recurrence (LRR), which might help identify patients that may benefit from pCRT. Total RNA was isolated from viable tumor from 88 patients who underwent PC resection with or without chemotherapy, but did not receive radiation. Digital miRNA expression profiling was performed and risk scores were calculated based on the expression levels of the four most significantly correlated miRNAs, and dichotomized about the median to detect correlations between risk group, LRR and overall survival (OS). Two cohorts from The Cancer Genome Atlas (TCGA) and Seoul National University (SNU) were used for validation. Patients with high-risk scores had significantly worse LRR (
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Registered trials
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