Evidence map›Paper›PMID 27779102›Full record

ArticleOncotarget2016

The increased expression of fatty acid-binding protein 9 in prostate cancer and its prognostic significance.

Majed Saad Al Fayi, Xiaojun Gou, Shiva S Forootan, Waseem Al-Jameel, Zhengzheng Bao, Philip R Rudland, Philip A Cornford, Syed A Hussain, Youqiang Ke

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. 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
1.4field-weighted citation impact, top 18% 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, 39 citations in OpenAlex.

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  20. Fatty acid-binding proteins: functional understanding and diagnostic implications.Current opinion in clinical nutrition and metabolic care · 2019
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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

9 authors at 3 institutions in 3 countries.

Majed Saad Al FayiMolecular Pathology Laboratory, Department of Molecular and Clinical Cancer Medicine, Liverpool University, the Cancer Research Centre Building, Liverpool, United Kingdom.
Xiaojun GouSichuan Antibiotics Industrial Institute, Chengdu University, Chengdu, China.
Shiva S ForootanMolecular Pathology Laboratory, Department of Molecular and Clinical Cancer Medicine, Liverpool University, the Cancer Research Centre Building, Liverpool, United Kingdom.
Waseem Al-JameelMolecular Pathology Laboratory, Department of Molecular and Clinical Cancer Medicine, Liverpool University, the Cancer Research Centre Building, Liverpool, United Kingdom.
Zhengzheng BaoMolecular Pathology Laboratory, Department of Molecular and Clinical Cancer Medicine, Liverpool University, the Cancer Research Centre Building, Liverpool, United Kingdom.
Philip R RudlandDepartment of Biochemistry, Liverpool University, Liverpool, United Kingdom.
Philip A CornfordMolecular Pathology Laboratory, Department of Molecular and Clinical Cancer Medicine, Liverpool University, the Cancer Research Centre Building, Liverpool, United Kingdom.
Syed A HussainMolecular Pathology Laboratory, Department of Molecular and Clinical Cancer Medicine, Liverpool University, the Cancer Research Centre Building, Liverpool, United Kingdom.
Youqiang KeMolecular Pathology Laboratory, Department of Molecular and Clinical Cancer Medicine, Liverpool University, the Cancer Research Centre Building, Liverpool, United Kingdom.
Chengdu University · CNKing Khalid University · SAUniversity of Liverpool · GB

Funding

Medical Research Council MC_PC_14110
6 · The paper itself

Abstract

In contrast to numerous studies conducted to investigate the crucial role of fatty acid binding protein 5 (FABP5) in prostate cancer, investigations on the possible involvement of other FABPs are rare. Here we first measured the mRNA levels of 10 FABPs in benign and malignant prostate cell lines and identified the differentially expressed FABP6 and FABP9 mRNAs whose levels in all malignant cell lines were higher than those in the benign cells. Thereafter we assessed the expression status of FABP6 and FABP9 in both prostate cell lines and in human tissues. FABP6 protein was overexpressed only in 1 of the 5 malignant cell lines and its immunostaining intensities were not significantly different between benign and malignant prostate tissues. In contrast, FABP9 protein was highly expressed in highly malignant cell lines PC-3 and PC3-M, but its level in the benign PNT-2 and other malignant cell lines was not detectable. When analysed in an archival set of human prostate tissues, immunohistochemical staining intensity for FABP9 was significantly higher in carcinomas than in benign cases and the increase in FABP9 was significantly correlated with reduced patient survival times. Moreover, the increased level of staining for FABP9 was significantly associated with the increased joint Gleason scores (GS) and androgen receptor index (AR). Suppression of FABP9 expression in highly malignant PC3-M cells inhibited their invasive potential. Our results suggest that FABP9 is a valuable prognostic marker to predict the outcomes of prostate cancer patients, perhaps by playing an important role in prostate cancer cell invasion.

Indexed as

Biomarkers, TumorCell Line, TumorCell MovementFatty Acid-Binding ProteinsGastrointestinal HormonesHumansImmunohistochemistryKaplan-Meier EstimateMaleNeoplasm GradingNeoplasm InvasivenessPredictive Value of TestsProstatic NeoplasmsReceptors, AndrogenRNA InterferenceRNA, MessengerAR protein, humanBiomarkers, Tumorfatty acid-binding protein 6Fatty Acid-Binding ProteinsGastrointestinal HormonesReceptors, AndrogenRNA, MessengerFABP9gleason scoresprognosisprostate cancerPSA

Identifiers

PMID27779102
PMCPMC5347732
OpenAlexW2530030183

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.