Evidence map›Paper›PMID 30153342›Full record

ArticleHepatology (Baltimore, Md.)2019

MERIT: Systematic Analysis and Characterization of Mutational Effect on RNA Interactome Topology.

Yongsheng Li, Daniel J McGrail, Juan Xu, Junyi Li, Ning-Ning Liu, Ming Sun, Richard Lin, Rita Pancsa, Jiwei Zhang, Ju-Seog Lee and 5 more

Open access · hybridAbstract read
In one paragraph

Article in Hepatology (Baltimore, Md.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

21 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
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  5. Article
  6. Article
  7. Molecular biomarkers in early stage lung cancer.Translational lung cancer research · 2021
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. RBP EIF2S2 Promotes Tumorigenesis and Progression by Regulating MYC-Mediated Inhibition via FHIT-Related Enhancers.Molecular therapy : the journal of the American Society of Gene Therapy · 2020
    Article
  14. Article
  15. Dynamic Expression of mFrontiers in cell and developmental biology · 2020
    Article
  16. Article
  17. Article
  18. Review
  19. The role of the protein-RNA recognition code in neurodegeneration.Cellular and molecular life sciences : CMLS · 2019
    Review
  20. Article
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

15 authors at 6 institutions in 3 countries.

Yongsheng LiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Daniel J McGrailDepartment of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX.
Juan XuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Junyi LiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Ning-Ning LiuSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Ming SunDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX.
Richard LinDepartment of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX.
Rita PancsaMedical Research Council Laboratory of Molecular Biology, Francis Crick Avenue, Cambridge, United Kingdom.
Jiwei ZhangDepartment of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX.
Ju-Seog LeeDepartment of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX.
Hui WangSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Gordon B MillsDepartment of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX.
Xia LiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Song YiDepartment of Oncology, Dell Medical School, The University of Texas at Austin, Austin, TX.
Nidhi SahniDepartment of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX.
The University of Texas MD Anderson Cancer Center · USHarbin Medical University · CNShanghai Jiao Tong University · CNBaylor College of Medicine · USMRC Laboratory of Molecular Biology · GBThe University of Texas at Austin · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
Training Grant in Cancer BiologyT32CA186892 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI KALLURI, RAGHU · 2016 to 2020
$1.1M
AASLDMedical Research Council MC_U105185859National Natural Science Foundation of China 31571331National Natural Science Foundation of China 31871338National Natural Science Foundation of China 61502126National Natural Science Foundation of China 61873075NCI NIH HHS P30 CA016672NCI NIH HHS T32 CA186892University of Texas MD Anderson Cancer Center
6 · The paper itself

Abstract

The interaction between RNA-binding proteins (RBPs) and RNA plays an important role in regulating cellular function. However, decoding genome-wide protein-RNA regulatory networks as well as how cancer-related mutations impair RNA regulatory activities in hepatocellular carcinoma (HCC) remains mostly undetermined. We explored the genetic alteration patterns of RBPs and found that deleterious mutations are likely to occur on the surface of RBPs. We then constructed protein-RNA interactome networks by integration of target binding screens and expression profiles. Network analysis highlights regulatory principles among interacting RBPs. In addition, somatic mutations selectively target functionally important genes (cancer genes, core fitness genes, or conserved genes) and perturb the RBP-gene regulatory networks in cancer. These regulatory patterns were further validated using independent data. A computational method (Mutational Effect on RNA Interactome Topology) and a web-based, user-friendly resource were further proposed to analyze the RBP-gene regulatory networks across cancer types. Pan-cancer analysis also suggests that cancer cells selectively target "vulnerability" genes to perturb protein-RNA interactome that is involved in cancer hallmark-related functions. Specifically, we experimentally validated four pairs of RBP-gene interactions perturbed by mutations in HCC, which play critical roles in cell proliferation. Based on the expression of perturbed RBP and target genes, we identified three subtypes of HCC with different survival rates. Conclusion: Our results provide a valuable resource for characterizing somatic mutation-perturbed protein-RNA regulatory networks in HCC, yielding valuable insights into the genotype-phenotype relationships underlying human cancer, and potential biomarkers for precision medicine.

Indexed as

MutationCarcinoma, HepatocellularCell ProliferationGene Regulatory NetworksHumansLiver NeoplasmsProtein Interaction MapsRNARNA-Binding ProteinsSurvival RateRNARNA-Binding Proteins

Identifiers

PMID30153342
PMCPMC6538468
OpenAlexW2888851618

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.