Evidence map›Paper›PMID 25380750›Full record

ReviewThe journal of histochemistry and cytochemistry : official journal of the Histochemistry Society2015

Understanding the roles of FAK in cancer: inhibitors, genetic models, and new insights.

Hyunho Yoon, Joshua P Dehart, James M Murphy, Ssang-Taek Steve Lim

Open access · bronzeAbstract readReview
In one paragraph

Review in The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 118 papers.

0numbers the graph read from it
0cells of the map it votes in
118citing papers in PubMed
5.2field-weighted citation impact, top 3% 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

118 citing papers in PubMed, 222 citations in OpenAlex.

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58 more citing papers are in PubMed but not listed here.

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

4 authors at 1 institution in 1 country.

Hyunho YoonDepartment of Biochemistry and Molecular Biology, College of Medicine, University of South Alabama, Mobile, Alabama.
Joshua P DehartDepartment of Biochemistry and Molecular Biology, College of Medicine, University of South Alabama, Mobile, Alabama.
James M MurphyDepartment of Biochemistry and Molecular Biology, College of Medicine, University of South Alabama, Mobile, Alabama.
Ssang-Taek Steve LimDepartment of Biochemistry and Molecular Biology, College of Medicine, University of South Alabama, Mobile, Alabama.
University of South Alabama · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Focal adhesion kinase (FAK) is a protein tyrosine kinase that regulates cellular adhesion, motility, proliferation and survival in various types of cells. Interestingly, FAK is activated and/or overexpressed in advanced cancers, and promotes cancer progression and metastasis. For this reason, FAK became a potential therapeutic target in cancer, and small molecule FAK inhibitors have been developed and are being tested in clinical phase trials. These inhibitors have demonstrated to be effective by inducing tumor cell apoptosis in addition to reducing metastasis and angiogenesis. Furthermore, several genetic FAK mouse models have made advancements in understanding the specific role of FAK both in tumors and in the tumor environment. In this review, we discuss FAK inhibitors as well as genetic mouse models to provide mechanistic insights into FAK signaling and its potential in cancer therapy.

Indexed as

AnimalsCell NucleusDisease Models, AnimalEpigenesis, GeneticFocal Adhesion Protein-Tyrosine KinasesHumansNeoplasmsProtein Kinase InhibitorsFocal Adhesion Protein-Tyrosine KinasesProtein Kinase InhibitorscancerFAKFAK inhibitorsgenetic mouse modelmetastasis

Identifiers

PMID25380750
PMCPMC4305513
OpenAlexW1970304603

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.