Evidence map›Paper›PMID 29684207›Full record

ArticleNucleic acids research2018

The number of titrated microRNA species dictates ceRNA regulation.

Hua-Sheng Chiu, María Rodríguez Martínez, Elena V Komissarova, David Llobet-Navas, Mukesh Bansal, Evan O Paull, José Silva, Xuerui Yang, Pavel Sumazin, Andrea Califano

Abstract read
In one paragraph

Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

31 citing papers in PubMed.

  1. Review
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  8. Cancers · 2023
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Hua-Sheng ChiuTexas Children's Cancer Center and Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA.
María Rodríguez MartínezIBM Research-Zurich, 8803 Rüschlikon, Zurich, Switzerland.
Elena V KomissarovaDepartment of Systems Biology, Institute for Cancer Genetics, Herbert Irving Comprehensive Cancer Center, Center for Computational Biology and Bioinformatics, Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY 10032, USA.
David Llobet-NavasBellvitge Biomedical Research Institute (IDIBELL), Gran via de l'Hospitalet, 199, L'Hospitalet de Llobregat 08908, Spain.
Mukesh BansalDepartment of Systems Biology, Institute for Cancer Genetics, Herbert Irving Comprehensive Cancer Center, Center for Computational Biology and Bioinformatics, Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY 10032, USA.
Evan O PaullDepartment of Systems Biology, Institute for Cancer Genetics, Herbert Irving Comprehensive Cancer Center, Center for Computational Biology and Bioinformatics, Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY 10032, USA.
José SilvaDepartment of Pathology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Xuerui YangMOE Key Laboratory of Bioinformatics, Tsinghua-Peking Center for Life Sciences, School of Life Sciences, Tsinghua University, Beijing 100084, China.
Pavel SumazinTexas Children's Cancer Center and Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA.
Andrea CalifanoDepartment of Systems Biology, Institute for Cancer Genetics, Herbert Irving Comprehensive Cancer Center, Center for Computational Biology and Bioinformatics, Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY 10032, USA.

Funding

Predicting Cancer Cell Response to Endogenous and Exogenous Perturbations at the Single Cell LevelR35CA197745 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ANDREA CALIFANO · 2015 to 2026
$11.5M
Systematic pharmacological targeting of the core mechanisms responsible for maintaining cancer cell stateU54CA209997 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CALIFANO, ANDREA, HONIG, BARRY H · 2016 to 2021
$10.9M
Systematic Identification and Pharmacological Targeting of Tumor Dependencies for Precision Cancer MedicineU01CA217858 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CALIFANO, ANDREA · 2017 to 2021
$6.1M
High-performance compute cluster for biomedical computingS10OD012351 · OD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CALIFANO, ANDREA · 2012 to 2012
$2.0M
Storage System for High Performance ComputingS10OD021764 · OD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CALIFANO, ANDREA · 2016 to 2016
$600k
NCI NIH HHS R35 CA197745NCI NIH HHS U01 CA217858NCI NIH HHS U54 CA209997NIH HHS S10 OD012351NIH HHS S10 OD021764
6 · The paper itself

Abstract

microRNAs (miRNAs) play key roles in cancer, but their propensity to couple their targets as competing endogenous RNAs (ceRNAs) has only recently emerged. Multiple models have studied ceRNA regulation, but these models did not account for the effects of co-regulation by miRNAs with many targets. We modeled ceRNA and simulated its effects using established parameters for miRNA/mRNA interaction kinetics while accounting for co-regulation by multiple miRNAs with many targets. Our simulations suggested that co-regulation by many miRNA species is more likely to produce physiologically relevant context-independent couplings. To test this, we studied the overlap of inferred ceRNA networks from four tumor contexts-our proposed pan-cancer ceRNA interactome (PCI). PCI was composed of interactions between genes that were co-regulated by nearly three-times as many miRNAs as other inferred ceRNA interactions. Evidence from expression-profiling datasets suggested that PCI interactions are predictive of gene expression in 12 independent tumor- and non-tumor contexts. Biochemical assays confirmed ceRNA couplings for two PCI subnetworks, including oncogenes CCND1, HIF1A and HMGA2, and tumor suppressors PTEN, RB1 and TP53. Our results suggest that PCI is enriched for context-independent interactions that are coupled by many miRNA species and are more likely to be context independent.

Indexed as

Gene Expression Regulation, NeoplasticHumansMicroRNAsNeoplasmsRNA, NeoplasmMicroRNAsRNA, Neoplasm

Identifiers

PMID29684207
PMCPMC5961349

What OpenQuestion holds

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Registered trials

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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.