Evidence map›Paper›PMID 22090358›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2012

Ran is a potential therapeutic target for cancer cells with molecular changes associated with activation of the PI3K/Akt/mTORC1 and Ras/MEK/ERK pathways.

Hiu-Fung Yuen, Ka-Kui Chan, Claire Grills, James T Murray, Angela Platt-Higgins, Osama Sharaf Eldin, Ken O'Byrne, Pasi Janne, Dean A Fennell, Patrick G Johnston and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
–field-weighted citation impact, top 95% 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

44 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Nanomedicine (London, England) · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Ran GTPase and Its Importance in Cellular Signaling and Malignant Phenotype.International journal of molecular sciences · 2023
    Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Nanoparticulate RNA delivery systems in cancer.Cancer reports (Hoboken, N.J.) · 2020
    Review
  17. Article
  18. Cancers · 2020
    Article
  19. 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

12 authors at 4 institutions in 4 countries.

Hiu-Fung YuenCenter for Cancer Research and Cell Biology, Queen's University of Belfast, Belfast, UK.
Ka-Kui Chan
Claire Grills
James T Murray
Angela Platt-Higgins
Osama Sharaf Eldin
Ken O'Byrne
Pasi Janne
Dean A Fennell
Patrick G Johnston
Philip S Rudland
Mohamed El-Tanani
Centre for Cancer Biology · AUDana-Farber Cancer Institute · USSt. James's Hospital · IEUniversity of Liverpool · GB

Funding

Cancer Research UK A9310Medical Research Council G0801447
6 · The paper itself

Abstract

purposeCancer cells have been shown to be more susceptible to Ran knockdown than normal cells. We now investigate whether Ran is a potential therapeutic target of cancers with frequently found mutations that lead to higher Ras/MEK/ERK [mitogen-activated protein/extracellular signal-regulated kinase (ERK; MEK)] and phosphoinositide 3-kinase (PI3K)/Akt/mTORC1 activities. EXPERIMENTAL

designApoptosis was measured by flow cytometry [propidium iodide (PI) and Annexin V staining] and MTT assay in cancer cells grown under different conditions after knockdown of Ran. The correlations between Ran expression and patient survival were examined in breast and lung cancers.

resultsCancer cells with their PI3K/Akt/mTORC1 and Ras/MEK/ERK pathways inhibited are less susceptible to Ran silencing-induced apoptosis. K-Ras-mutated, c-Met-amplified, and Pten-deleted cancer cells are also more susceptible to Ran silencing-induced apoptosis than their wild-type counterparts and this effect is reduced by inhibitors of the PI3K/Akt/mTORC1 and MEK/ERK pathways. Overexpression of Ran in clinical specimens is significantly associated with poor patient outcome in both breast and lung cancers. This association is dramatically enhanced in cancers with increased c-Met or osteopontin expression, or with oncogenic mutations of K-Ras or PIK3CA, all of which are mutations that potentially correlate with activation of the PI3K/Akt/mTORC1 and/or Ras/MEK/ERK pathways. Silencing Ran also results in dysregulation of nucleocytoplasmic transport of transcription factors and downregulation of Mcl-1 expression, at the transcriptional level, which are reversed by inhibitors of the PI3K/Akt/mTORC1 and MEK/ERK pathways.

conclusionRan is a potential therapeutic target for treatment of cancers with mutations/changes of expression in protooncogenes that lead to activation of the PI3K/Akt/mTORC1 and Ras/MEK/ERK pathways.

Indexed as

MAP Kinase Signaling SystemActive Transport, Cell NucleusApoptosisBreast NeoplasmsCarcinomaCell Line, TumorClass I Phosphatidylinositol 3-KinasesFemaleGene DeletionGene Expression Regulation, NeoplasticGene Knockdown TechniquesHumansKaplan-Meier EstimateLung NeoplasmsMechanistic Target of Rapamycin Complex 1Mitogen-Activated Protein KinasesClass I Phosphatidylinositol 3-KinasesKRAS protein, humanMechanistic Target of Rapamycin Complex 1Mitogen-Activated Protein KinasesMultiprotein ComplexesMyeloid Cell Leukemia Sequence 1 ProteinOsteopontinPhosphatidylinositol 3-KinasesPIK3CA protein, humanProteinsProto-Oncogene ProteinsProto-Oncogene Proteins c-aktProto-Oncogene Proteins c-bcl-2Proto-Oncogene Proteins c-metProto-Oncogene Proteins p21(ras)PTEN PhosphohydrolasePTEN protein, humanran GTP-Binding ProteinRAN protein, humanras ProteinsTOR Serine-Threonine Kinases

Identifiers

PMID22090358
PMCPMC3272446
OpenAlexW1492277120

What OpenQuestion holds

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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.