ArticleFood science and biotechnology2016
Data mining of micrornas in breast carcinogenesis which may be a potential target for cancer prevention.
Article in Food science and biotechnology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Genetic Alterations in HER2-Positive and Equivocal Breast Cancer by Immunohistochemistry.Breast cancer (Dove Medical Press) · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The microRNAs (miRNAs) negatively regulate the stability and translation of target messenger RNAs by selectively binding. It has been implicated in diverse processes such as cellular differentiation, cell-cycle control, apoptosis, and carcinogenesis. Examination of tumor-specific miRNA expression profiles has revealed wide spread dysregulation of these molecules in diverse cancers. The available genomic bulk evidences were extracted from The Cancer Genome Atlas by using IluminaGA_miRNASeq platform in human breast cancer samples. After mining collected data, group of each miRNA ID was analyzed through five D/Bs (mirWalk, miranda, mirDB, RNA22, and TargetScan) on predicted and validated miRNA targets. Oncogenes known to have a high correlation with breast cancer (
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.