Evidence map›Paper›PMID 29023197›Full record

ArticleRNA biology2018

Mutational landscape of RNA-binding proteins in human cancers.

Yaseswini Neelamraju, Abel Gonzalez-Perez, Poornima Bhat-Nakshatri, Harikrishna Nakshatri, Sarath Chandra Janga

Open access · bronzeAbstract read
In one paragraph

Article in RNA biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed
4.5field-weighted citation impact, top 4% of its field
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

62 citing papers in PubMed, 98 citations in OpenAlex.

  1. Review
  2. Article
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  5. Research Progress on the Relationship Between PRPF8 and Cancer.Current issues in molecular biology · 2025
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  11. CSDE1 Intracellular Distribution as a Biomarker of Melanoma Prognosis.International journal of molecular sciences · 2024
    Article
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  13. Review
  14. Review
  15. Review
  16. RBM33 is a unique mMolecular cell · 2023
    Article
  17. Article
  18. Article
  19. Article
  20. Article

2 more citing papers are in PubMed but not listed here.

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

5 authors at 4 institutions in 2 countries.

Yaseswini Neelamrajua Department of Bio Health Informatics, School of Informatics and Computing , Indiana University Purdue University , Indianapolis , Indiana , USA.
Abel Gonzalez-Perezb Research Unit on Biomedical Informatics, Department of Experimental and Health Sciences , Universitat Pompeu Fabra , Barcelona , Spain.
Poornima Bhat-Nakshatric Department of Surgery , Indiana University School of Medicine , Indianapolis , Indiana , USA.
Harikrishna Nakshatric Department of Surgery , Indiana University School of Medicine , Indianapolis , Indiana , USA.
Sarath Chandra Jangaa Department of Bio Health Informatics, School of Informatics and Computing , Indiana University Purdue University , Indianapolis , Indiana , USA.
Indiana University – Purdue University Indianapolis · USIndiana University School of MedicinePompeu Fabra University · ESRichard L. Roudebush VA Medical Center · US

Funding

Mapping RNA protein interaction networks in the human genomeR01GM123314 · NIGMS · INDIANA UNIVERSITY INDIANAPOLIS · PI JANGA, SARATH CHANDRA · 2017 to 2021
$1.7M
NIGMS NIH HHS R01 GM123314
6 · The paper itself

Abstract

RNA Binding Proteins (RBPs) are a class of post-transcriptional regulatory molecules which are increasingly documented to be dysfunctional in cancer genomes. However, our current understanding of these alterations is limited. Here, we delineate the mutational landscape of ∼1300 RBPs in ∼6000 cancer genomes. Our analysis revealed that RBPs have an average of ∼3 mutations per Mb across 26 cancer types. We identified 281 RBPs to be enriched for mutations (GEMs) in at least one cancer type. GEM RBPs were found to undergo frequent frameshift and inframe deletions as well as missense, nonsense and silent mutations when compared to those that are not enriched for mutations. Functional analysis of these RBPs revealed the enrichment of pathways associated with apoptosis, splicing and translation. Using the OncodriveFM framework, we also identified more than 200 candidate driver RBPs that were found to accumulate functionally impactful mutations in at least one cancer. Expression levels of 15% of these driver RBPs exhibited significant difference, when transcriptome groups with and without deleterious mutations were compared. Functional interaction network of the driver RBPs revealed the enrichment of spliceosomal machinery, suggesting a plausible mechanism for tumorogenesis while network analysis of the protein interactions between RBPs unambiguously revealed the higher degree, betweenness and closeness centrality for driver RBPs compared to non-drivers. Analysis to reveal cancer-specific Ribonucleoprotein (RNP) mutational hotspots showed extensive rewiring even among common drivers between cancer types. Knockdown experiments on pan-cancer drivers such as SF3B1 and PRPF8 in breast cancer cell lines, revealed cancer subtype specific functions like selective stem cell features, indicating a plausible means for RBPs to mediate cancer-specific phenotypes. Hence, this study would form a foundation to uncover the contribution of the mutational spectrum of RBPs in dysregulating the post-transcriptional regulatory networks in different cancer types.

Indexed as

CarcinogenesisGene Expression Regulation, NeoplasticGene Knockdown TechniquesGenome, HumanHumansMutationNeoplasmsPhosphoproteinsRNA-Binding ProteinsRNA SplicingRNA Splicing FactorsSpliceosomesTranscriptomePhosphoproteinsPRPF8 protein, humanRNA-Binding ProteinsRNA Splicing FactorsSF3B1 protein, humancancer genomicsgene regulatory networksoncogenespost-transcriptional regulationSomatic mutations

Identifiers

PMID29023197
PMCPMC5786023
OpenAlexW2762810610

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.