ArticleNature communications2013
Identification of a pan-cancer oncogenic microRNA superfamily anchored by a central core seed motif.
Article in Nature communications, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers.
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.
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Who cites it
79 citing papers in PubMed, 128 citations in OpenAlex.
- The microRNA miR-30a blocks adipose tissue fibrosis accumulation in obesity.The Journal of clinical investigation · 2025Article
- Pan-cancer analysis shapes the understanding of cancer biology and medicine.Cancer communications (London, England) · 2025Review
- Unraveling the Regulatory Role of HuR/microRNA Axis in Colorectal Cancer Tumorigenesis.Cancers · 2024Review
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- CMC: Cancer miRNA Census - a list of cancer-related miRNA genes.Nucleic acids research · 2024Article
- MiRZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2023Article
- Review
- Osteoarthritis and microRNAs: Do They Provide Novel Insights into the Pathophysiology of This Degenerative Disorder?Life (Basel, Switzerland) · 2022Review
- EVs-miRNA: The New Molecular Markers for Chronic Respiratory Diseases.Life (Basel, Switzerland) · 2022Review
- Contributions of microRNAs to Peripheral Insulin Sensitivity.Endocrinology · 2022Review
- Article
- Identification of miRNA signature for predicting the prognostic biomarker of squamous cell lung carcinoma.PloS one · 2022Article
- Systematically Studying the Effect of Small Molecules Interacting with RNA in Cellular and Preclinical Models.ACS chemical biology · 2021Review
- The microRNA target site landscape is a novel molecular feature associating alternative polyadenylation with immune evasion activity in breast cancer.Briefings in bioinformatics · 2021Article
- Article
- Computational methods for cancer driver discovery: A survey.Theranostics · 2021Review
- Evaluation of miR-130 family members as circulating biomarkers for the diagnosis of bladder cancer.Journal of clinical laboratory analysis · 2020Article
- Article
- Trimester-specific plasma exosome microRNA expression profiles in preeclampsia.The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians · 2020Article
- Article
19 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 5 institutions in 1 country.
Funding
Abstract
MicroRNAs modulate tumorigenesis through suppression of specific genes. As many tumour types rely on overlapping oncogenic pathways, a core set of microRNAs may exist, which consistently drives or suppresses tumorigenesis in many cancer types. Here we integrate The Cancer Genome Atlas (TCGA) pan-cancer data set with a microRNA target atlas composed of publicly available Argonaute Crosslinking Immunoprecipitation (AGO-CLIP) data to identify pan-tumour microRNA drivers of cancer. Through this analysis, we show a pan-cancer, coregulated oncogenic microRNA 'superfamily' consisting of the miR-17, miR-19, miR-130, miR-93, miR-18, miR-455 and miR-210 seed families, which cotargets critical tumour suppressors via a central GUGC core motif. We subsequently define mutations in microRNA target sites using the AGO-CLIP microRNA target atlas and TCGA exome-sequencing data. These combined analyses identify pan-cancer oncogenic cotargeting of the phosphoinositide 3-kinase, TGFβ and p53 pathways by the miR-17-19-130 superfamily members.
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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.