Evidence map›Paper›PMID 18711136›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2008

Modeling oncogene addiction using RNA interference.

S Michael Rothenberg, Jeffrey A Engelman, Sheila Le, David J Riese, Daniel A Haber, Jeffrey Settleman

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

25 citing papers in PubMed, 47 citations in OpenAlex.

  1. Article
  2. Effect of Cetuximab andYonago acta medica · 2019
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Oncogene addiction in gliomas: implications for molecular targeted therapy.Journal of experimental & clinical cancer research : CR · 2011
    Review
  17. Article
  18. 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

6 authors at 4 institutions in 1 country.

S Michael RothenbergMassachusetts General Hospital Cancer Center, Charlestown, MA 02129, USA.
Jeffrey A Engelman
Sheila Le
David J Riese
Daniel A Haber
Jeffrey Settleman
Harvard University · USHoward Hughes Medical Institute · USMassachusetts General Hospital · USPurdue University West Lafayette · US

Funding

Gefitinib-sensitive EGF receptor mutants in lung cancerR01CA115830 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI SETTLEMAN, JEFFREY E · 2005 to 2009
$3.0M
Molecular mechanisms of PI3K activation in non-small cell lung cancerK08CA120060 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI ENGELMAN, JEFFREY A. · 2006 to 2010
$710k
Howard Hughes Medical InstituteNCI NIH HHS CA115830NCI NIH HHS CA94281NCI NIH HHS K08 CA120060NCI NIH HHS K08 CA120060-01NCI NIH HHS R01 CA115830
6 · The paper itself

Abstract

The clinical efficacy of selective kinase inhibitors suggests that some cancer cells may become dependent on a single oncogene for survival. RNAi has been increasingly used to understand such "oncogene addiction" and validate new therapeutic targets. However, RNAi approaches suffer from significant off-target effects that limit their utility. Here, we combine carefully titrated lentiviral-mediated short hairpin RNA knockdown of the epidermal growth factor receptor (EGFR) with heterologous reconstitution by EGFR mutants to rigorously analyze the structural features and signaling activities that determine addiction to the mutationally activated EGFR in human lung cancer cells. EGFR dependence is differentially rescued by distinct EGFR variants and oncogenic mutants, is critically dependent on its heterodimerization partner ErbB-3, and surprisingly, does not require autophosphorylation sites in the cytoplasmic domain. Quantitative "oncogene rescue" analysis allows mechanistic dissection of oncogene addiction, and, when broadly applied, may provide functional validation for potential therapeutic targets identified through large-scale RNAi screens.

Indexed as

Models, BiologicalRNA InterferenceCell Line, TumorErbB ReceptorsHumansLung NeoplasmsMutationOncogenesReceptor, ErbB-3RNA, Small InterferingErbB ReceptorsReceptor, ErbB-3RNA, Small Interfering

Identifiers

PMID18711136
PMCPMC2517605
OpenAlexW1987383456

What OpenQuestion holds

Textmetadata
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.