Evidence map›Paper›PMID 24662823›Full record

ArticleOncogene2015

Synthetic lethal screening reveals FGFR as one of the combinatorial targets to overcome resistance to Met-targeted therapy.

B Kim, S Wang, J M Lee, Y Jeong, T Ahn, D-S Son, H W Park, H-s Yoo, Y-J Song, E Lee and 8 more

Open access · bronzeAbstract read
In one paragraph

Article in Oncogene, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed, 37 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Targeting MET and FGFR in Relapsed or Refractory Acute Myeloid Leukemia: Preclinical and Clinical Findings, and Signal Transduction Correlates.Clinical cancer research : an official journal of the American Association for Cancer Research · 2023
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
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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

18 authors at 2 institutions in 2 countries.

B KimBioTherapeutics Lab, Samsung Advanced Institute of Technology (SAIT), Giheung-gu, Yongin-si, Gyeonggi-do, South Korea.
S WangLombardi Comprehensive Cancer Center, Department of Oncology, Georgetown University Medical Center, Washington, DC, USA.
J M LeeBioTherapeutics Lab, Samsung Advanced Institute of Technology (SAIT), Giheung-gu, Yongin-si, Gyeonggi-do, South Korea.
Y JeongBioTherapeutics Lab, Samsung Advanced Institute of Technology (SAIT), Giheung-gu, Yongin-si, Gyeonggi-do, South Korea.
T AhnBioTherapeutics Lab, Samsung Advanced Institute of Technology (SAIT), Giheung-gu, Yongin-si, Gyeonggi-do, South Korea.
D-S SonBioTherapeutics Lab, Samsung Advanced Institute of Technology (SAIT), Giheung-gu, Yongin-si, Gyeonggi-do, South Korea.
H W ParkBioTherapeutics Lab, Samsung Advanced Institute of Technology (SAIT), Giheung-gu, Yongin-si, Gyeonggi-do, South Korea.
H-s YooBioTherapeutics Lab, Samsung Advanced Institute of Technology (SAIT), Giheung-gu, Yongin-si, Gyeonggi-do, South Korea.
Y-J SongBioTherapeutics Lab, Samsung Advanced Institute of Technology (SAIT), Giheung-gu, Yongin-si, Gyeonggi-do, South Korea.
E LeeBioTherapeutics Lab, Samsung Advanced Institute of Technology (SAIT), Giheung-gu, Yongin-si, Gyeonggi-do, South Korea.
Y M OhBioTherapeutics Lab, Samsung Advanced Institute of Technology (SAIT), Giheung-gu, Yongin-si, Gyeonggi-do, South Korea.
S B LeeBioTherapeutics Lab, Samsung Advanced Institute of Technology (SAIT), Giheung-gu, Yongin-si, Gyeonggi-do, South Korea.
J ChoiBioTherapeutics Lab, Samsung Advanced Institute of Technology (SAIT), Giheung-gu, Yongin-si, Gyeonggi-do, South Korea.
J C MurrayLombardi Comprehensive Cancer Center, Department of Oncology, Georgetown University Medical Center, Washington, DC, USA.
Y ZhouBiostatistics and Bioinformatics Facility, Fox Chase Cancer Center, Philadelphia, PA, USA.
P H SongBioTherapeutics Lab, Samsung Advanced Institute of Technology (SAIT), Giheung-gu, Yongin-si, Gyeonggi-do, South Korea.
K-A KimBioTherapeutics Lab, Samsung Advanced Institute of Technology (SAIT), Giheung-gu, Yongin-si, Gyeonggi-do, South Korea.
L M WeinerLombardi Comprehensive Cancer Center, Department of Oncology, Georgetown University Medical Center, Washington, DC, USA.
Samsung (South Korea) · KRFox Chase Cancer Center · US

Funding

Tissue Culture Shared ResourceP30CA051008 · NCI · GEORGETOWN UNIVERSITY · PI STEPHEN W BYERS · 1990 to 2026
$71.5M
TRAINING GRANT IN TUMOR BIOLOGYT32CA009686 · NCI · GEORGETOWN UNIVERSITY · PI ANNA Tate RIEGEL, DAVID J ROBBINS · 1996 to 2026
$10.8M
TARGETED IMMUNOTHERAPY USING BISPECIFIC ANTIBODIESR01CA050633 · NCI · GEORGETOWN UNIVERSITY · PI WEINER, LOUIS M. · 1989 to 2018
$6.5M
NCI NIH HHS CA50633NCI NIH HHS CA51008NCI NIH HHS P30 CA051008NCI NIH HHS R01 CA050633NCI NIH HHS T32 CA009686
6 · The paper itself

Abstract

Met is a receptor tyrosine kinase that promotes cancer progression. In addition, Met has been implicated in resistance of tumors to various targeted therapies such as epidermal growth factor receptor inhibitors in lung cancers, and has been prioritized as a key molecular target for cancer therapy. However, the underlying mechanism of resistance to Met-targeting drugs is poorly understood. Here, we describe screening of 1310 genes to search for key regulators related to drug resistance to an anti-Met therapeutic antibody (SAIT301) by using a small interfering RNA-based synthetic lethal screening method. We found that knockdown of 69 genes in Met-amplified MKN45 cells sensitized the antitumor activity of SAIT301. Pathway analysis of these 69 genes implicated fibroblast growth factor receptor (FGFR) as a key regulator for antiproliferative effects of Met-targeting drugs. Inhibition of FGFR3 increased target cell apoptosis through the suppression of Bcl-xL expression, followed by reduced cancer cell growth in the presence of Met-targeting drugs. Treatment of cells with the FGFR inhibitors substantially restored the efficacy of SAIT301 in SAIT301-resistant cells and enhanced the efficacy in SAIT301-sensitive cells. In addition to FGFR3, integrin β3 is another potential target for combination treatment with SAIT301. Suppression of integrin β3 decreased AKT phosphorylation in SAIT301-resistant cells and restored SAIT301 responsiveness in HCC1954 cells, which are resistant to SAIT301. Gene expression analysis using CCLE database shows that cancer cells with high levels of FGFR and integrin β3 are resistant to crizotinib treatment, suggesting that FGFR and integrin β3 could be used as predictive markers for Met-targeted therapy and provide a potential therapeutic option to overcome acquired and innate resistance for the Met-targeting drugs.

Indexed as

Antibodies, MonoclonalAntibodies, Monoclonal, HumanizedCell Line, TumorCrizotinibDrug Resistance, NeoplasmGene Expression Regulation, NeoplasticHumansIntegrin beta3Molecular Targeted TherapyNeoplasmsPeptide LibraryProtein Kinase InhibitorsProto-Oncogene Proteins c-metPyrazolesPyridinesReceptors, Fibroblast Growth FactorAntibodies, MonoclonalAntibodies, Monoclonal, HumanizedCrizotinibIntegrin beta3ITGB3 protein, humanMET protein, humanPeptide LibraryProtein Kinase InhibitorsProto-Oncogene Proteins c-metPyrazolesPyridinesReceptors, Fibroblast Growth FactorRNA, Small InterferingSAIT301

Identifiers

PMID24662823
PMCPMC4300291
OpenAlexW2002904996

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.