Evidence map›Paper›PMID 24416147›Full record

ArticlePloS one2014

Transcriptome-wide analysis of UTRs in non-small cell lung cancer reveals cancer-related genes with SNV-induced changes on RNA secondary structure and miRNA target sites.

Radhakrishnan Sabarinathan, Anne Wenzel, Peter Novotny, Xiaojia Tang, Krishna R Kalari, Jan Gorodkin

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 9% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. The roles of RNA processing in translating genotype to phenotype.Nature reviews. Molecular cell biology · 2017
    Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. miR-211 promotes non-small cell lung cancer proliferation by targeting SRCIN1.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
    Article
  16. Differential miRNA expressions in peripheral blood mononuclear cells for diagnosis of lung cancer.Laboratory investigation; a journal of technical methods and pathology · 2015
    Article
  17. Functional classification of 15 million SNPs detected from diverse chicken populations.DNA research : an international journal for rapid publication of reports on genes and genomes · 2015
    Article
  18. Competing endogenous RNA interplay in cancer: mechanism, methodology, and perspectives.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2015
    Review
  19. Article
  20. MicroRNA-mediated regulation of KRAS in cancer.Journal of hematology & oncology · 2014
    Review
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

6 authors at 3 institutions in 2 countries.

Radhakrishnan SabarinathanCenter for non-coding RNA in Technology and Health, Section for Animal Genetics, Bioinformatics and Breeding, IKVH, University of Copenhagen, Frederiksberg, Denmark.
Anne WenzelCenter for non-coding RNA in Technology and Health, Section for Animal Genetics, Bioinformatics and Breeding, IKVH, University of Copenhagen, Frederiksberg, Denmark.
Peter NovotnyBioinformatics Centre, Department of Biology and Biotech Research and Innovation Centre, University of Copenhagen, Copenhagen, Denmark.
Xiaojia TangDivision of Biostatistics and Bioinformatics, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, United States of America.
Krishna R KalariDivision of Biostatistics and Bioinformatics, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, United States of America ; Department of Cancer Biology, Mayo Clinic Comprehensive Cancer Center, Jacksonville, Florida, United States of America.
Jan GorodkinCenter for non-coding RNA in Technology and Health, Section for Animal Genetics, Bioinformatics and Breeding, IKVH, University of Copenhagen, Frederiksberg, Denmark.
University of Copenhagen · DKMayo Clinic · USSylvester Comprehensive Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traditional mutation assessment methods generally focus on predicting disruptive changes in protein-coding regions rather than non-coding regulatory regions like untranslated regions (UTRs) of mRNAs. The UTRs, however, are known to have many sequence and structural motifs that can regulate translational and transcriptional efficiency and stability of mRNAs through interaction with RNA-binding proteins and other non-coding RNAs like microRNAs (miRNAs). In a recent study, transcriptomes of tumor cells harboring mutant and wild-type KRAS (V-Ki-ras2 Kirsten rat sarcoma viral oncogene homolog) genes in patients with non-small cell lung cancer (NSCLC) have been sequenced to identify single nucleotide variations (SNVs). About 40% of the total SNVs (73,717) identified were mapped to UTRs, but omitted in the previous analysis. To meet this obvious demand for analysis of the UTRs, we designed a comprehensive pipeline to predict the effect of SNVs on two major regulatory elements, secondary structure and miRNA target sites. Out of 29,290 SNVs in 6462 genes, we predict 472 SNVs (in 408 genes) affecting local RNA secondary structure, 490 SNVs (in 447 genes) affecting miRNA target sites and 48 that do both. Together these disruptive SNVs were present in 803 different genes, out of which 188 (23.4%) were previously known to be cancer-associated. Notably, this ratio is significantly higher (one-sided Fisher's exact test p-value = 0.032) than the ratio (20.8%) of known cancer-associated genes (n = 1347) in our initial data set (n = 6462). Network analysis shows that the genes harboring disruptive SNVs were involved in molecular mechanisms of cancer, and the signaling pathways of LPS-stimulated MAPK, IL-6, iNOS, EIF2 and mTOR. In conclusion, we have found hundreds of SNVs which are highly disruptive with respect to changes in the secondary structure and miRNA target sites within UTRs. These changes hold the potential to alter the expression of known cancer genes or genes linked to cancer-associated pathways.

Indexed as

Carcinoma, Non-Small-Cell LungGene Expression ProfilingGene Regulatory NetworksGenes, NeoplasmHumansLung NeoplasmsMicroRNAsNucleic Acid ConformationPolymorphism, Single NucleotideRNA, MessengerRNA, NeoplasmSoftwareUntranslated RegionsMicroRNAsRNA, MessengerRNA, NeoplasmUntranslated Regions

Identifiers

PMID24416147
PMCPMC3885406
OpenAlexW2113582954

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.