Evidence map›Paper›PMID 26980710›Full record

ReviewOncotarget2016

FAK and paxillin, two potential targets in pancreatic cancer.

Rajani Kanteti, Surinder K Batra, Frances E Lennon, Ravi Salgia

Open access · diamondAbstract readReview
In one paragraph

Review in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed
8.6field-weighted citation impact, top 2% 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

65 citing papers in PubMed, 126 citations in OpenAlex.

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  19. Linc00662 mAmerican journal of cancer research · 2023
    Article
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5 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 3 institutions in 1 country.

Rajani KantetiDepartment of Medicine, Section of Hematology/Oncology, University of Chicago, Chicago, IL, USA.
Surinder K BatraDepartment of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE, USA.
Frances E LennonDepartment of Medicine, Section of Hematology/Oncology, University of Chicago, Chicago, IL, USA.
Ravi SalgiaDepartment of Medical Oncology and Therapeutics Research, City of Hope, Duarte, CA, USA.
University of Chicago · USCity of Hope · USUniversity of Nebraska Medical Center · US

Funding

Transgenic Mouse FacilityP30CA033572 · NCI · CITY OF HOPE/BECKMAN RESEARCH INSTITUTE · PI STANLEY R. HAMILTON · 1985 to 2026
$86.3M
NCI NIH HHS P30 CA033572
6 · The paper itself

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is a devastating cancer in large part due to late diagnosis and a lack of effective screening tests. In spite of recent progress in imaging, surgery and new therapeutic options for pancreatic cancer, the overall five-year survival still remains unacceptably low. Numerous studies have shown that focal adhesion kinase (FAK) is activated in many cancers including PDAC and promotes cancer progression and metastasis. Paxillin, an intracellular adaptor protein that plays a key role in cytoskeletal organization, connects integrins to FAK and plays a key role in assembly and disassembly of focal adhesions. Here, we have reviewed evidence in support of FAK as a potential therapeutic target and summarized related combinatorial therapies.

Indexed as

Biomarkers, TumorCarcinoma, Pancreatic DuctalFocal Adhesion Kinase 1HumansModels, BiologicalMolecular Targeted TherapyPancreatic NeoplasmsPaxillinProtein Kinase InhibitorsSignal TransductionBiomarkers, TumorFocal Adhesion Kinase 1PaxillinProtein Kinase InhibitorsPTK2 protein, humanFAKintegrinsP53pancreatic cancerpaxillin

Identifiers

PMID26980710
PMCPMC5058780
OpenAlexW2301705957

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.