Evidence map›Paper›PMID 25977330›Full record

ArticleCancer research2015

Enhanced MET Translation and Signaling Sustains K-Ras-Driven Proliferation under Anchorage-Independent Growth Conditions.

Saori Fujita-Sato, Jacqueline Galeas, Morgan Truitt, Cameron Pitt, Anatoly Urisman, Sourav Bandyopadhyay, Davide Ruggero, Frank McCormick

Open access · bronzeAbstract read
In one paragraph

Article in Cancer research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

39 citing papers in PubMed, 62 citations in OpenAlex.

  1. Article
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  6. iScience · 2024
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  8. SOS1 and KSR1 modulate MEK inhibitor responsiveness to target resistant cell populations based on PI3K and KRAS mutation status.Proceedings of the National Academy of Sciences of the United States of America · 2023
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  18. Modeling Clinical Responses to Targeted Therapies by Patient-Derived Organoids of Advanced Lung Adenocarcinoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2021
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  19. Review
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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

8 authors at 3 institutions in 2 countries.

Saori Fujita-SatoHelen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California. Oncology Research Laboratories, Daiichi Sankyo Co., Ltd., Tokyo, Japan.
Jacqueline GaleasHelen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California.
Morgan TruittHelen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California.
Cameron PittHelen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California.
Anatoly UrismanDepartment of Pathology, University of California San Francisco, San Francisco, California.
Sourav BandyopadhyayHelen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California.
Davide RuggeroHelen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California.
Frank McCormickHelen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California. mccormic@cc.ucsf.edu.
UCSF Helen Diller Family Comprehensive Cancer Center · USDaiichi-Sankyo (Japan) · JPUniversity of California, San Francisco · US

Funding

elF4E-Dependent Translation Control in the Oncogenic Stress Response and CancerR01CA184624 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI RUGGERO, DAVIDE · 2014 to 2018
$1.9M
NCI NIH HHS R01 CA184624
6 · The paper itself

Abstract

Oncogenic K-Ras mutation occurs frequently in several types of cancers, including pancreatic and lung cancers. Tumors with K-Ras mutation are resistant to chemotherapeutic drugs as well as molecular targeting agents. Although numerous approaches are ongoing to find effective ways to treat these tumors, there are still no effective therapies for K-Ras mutant cancer patients. Here we report that K-Ras mutant cancers are more dependent on K-Ras in anchorage-independent culture conditions than in monolayer culture conditions. In seeking to determine mechanisms that contribute to the K-Ras dependency in anchorage-independent culture conditions, we discovered the involvement of Met in K-Ras-dependent, anchorage-independent cell growth. The Met signaling pathway is enhanced and plays an indispensable role in anchorage-independent growth even in cells in which Met is not amplified. Indeed, Met expression is elevated under anchorage-independent growth conditions and is regulated by K-Ras in a MAPK/ERK kinase (MEK)-dependent manner. Remarkably, in spite of a global downregulation of mRNA translation during anchorage-independent growth, we find that Met mRNA translation is specifically enhanced under these conditions. Importantly, ectopic expression of an active Met mutant rescues K-Ras ablation-derived growth suppression, indicating that K-Ras-mediated Met expression drives "K-Ras addiction" in anchorage-independent conditions. Our results indicate that enhanced Met expression and signaling is essential for anchorage-independent growth of K-Ras mutant cancer cells and suggests that pharmacological inhibitors of Met could be effective for K-Ras mutant tumor patients.

Indexed as

AnimalsCell AdhesionCell ProliferationCells, CulturedGenes, rasHCT116 CellsHEK293 CellsHumansMiceProtein BiosynthesisProto-Oncogene Proteins c-metSignal TransductionTissue Culture TechniquesProto-Oncogene Proteins c-met

Identifiers

PMID25977330
PMCPMC4506276
OpenAlexW1903208781

What OpenQuestion holds

Textmetadata
LicenceTDM
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.