ArticleDiseases of the colon and rectum2018
MiR-486-5p Downregulation Marks an Early Event in Colorectal Carcinogenesis.
Article in Diseases of the colon and rectum, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed, 9 citations in OpenAlex.
- Influence of the lncRNA SLC9A3-AS1 on colon cancer and the biological activities of colon cancer cells.Discover oncology · 2025Article
- Construction of a miRNA-mRNA Network Related to Exosomes in Colon Cancer.Disease markers · 2022Article
- A Distinctive microRNA (miRNA) Signature in the Blood of Colorectal Cancer (CRC) Patients at Surgery.Cancers · 2020Article
- MicroRNAs Associated With Colon Cancer: New Potential Prognostic Markers and Targets for Therapy.Frontiers in bioengineering and biotechnology · 2020Article
- MicroRNA regulation in colorectal cancer tissue and serum.PloS one · 2019Article
- Suppression of non-small cell lung cancer migration and invasion by hsa-miR-486-5p via the TGF-β/SMAD2 signaling pathway.Journal of Cancer · 2019Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundMicroRNAs are dysregulated in colorectal cancer and subsets correlated with advanced tumor stage and metastasis. Data are lacking on microRNA dysregulation from early to late-stage disease.
objectiveThe purpose of this study was to identify a microRNA signature associated with the primary tumor and metastatic site in stage IV disease and to examine whether the signature is evident in earlier stages.
designA microRNA profile was generated and then explored in normal colon tissue (n = 5), early stage (stage I and II; n = 10), and late-stage (stage III and IV; n = 14) colorectal primary tumors via polymerase chain reaction to delineate molecular events that may promote colorectal carcinogenesis.
settingGenome-wide microRNA expression profiling was performed. PATIENTS: A total of 14 patient-matched stage IV primary colorectal cancer tumors and corresponding liver metastases were included.
main outcome measuresMicroRNA array technology was used to identify microRNA expression-predictive metastatic potential in the primary tumor.
resultsA distinct 9-member signature group of microRNAs was concurrent in stage IV primary colorectal cancer and their corresponding liver metastases, when compared with surrounding unaffected colon and liver tissue (microRNA-18b, microRNA-93, microRNA-182, microRNA-183, microRNA21, microRNA-486-5p, microRNA-500a, microRNA-552, and microRNA-941). Of the microRNA panel, only microRNA486-5p was differentially expressed in early stage colorectal cancer samples compared with normal tissue (p = 0.001) and additionally differentially expressed between late-stage colorectal cancer samples and normal tissue (p < 0.01). LIMITATIONS: Our microRNA profile was generated in a small subset of patients and will require validation in more samples.
conclusionsWe identified a distinct microRNA signature in primary colon and matched metastatic disease. On additional investigation, 1 microRNA was differentially expressed in both early and late-stage cancer patient samples, and it may herald an early event in colorectal carcinogenesis. This study warrants additional investigation with a larger patient cohort to better understand the effect of microRNAs in carcinogenesis. See Video Abstract at http://links.lww.com/DCR/A723.
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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.