Evidence map›Paper›PMID 16733850›Full record

ArticleWorld journal of gastroenterology2006

Identification of biomarkers of human pancreatic adenocarcinomas by expression profiling and validation with gene expression analysis in endoscopic ultrasound-guided fine needle aspiration samples.

Henrik Laurell, Michele Bouisson, Philippe Berthelemy, Philippe Rochaix, Sebastien Dejean, Philippe Besse, Christiane Susini, Lucien Pradayrol, Nicole Vaysse, Louis Buscail

Open access · hybridAbstract readComparative StudyValidation Study
In one paragraph

Article in World journal of gastroenterology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed, 77 citations in OpenAlex.

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  6. Lipocalin-2 expression and function in pancreatic diseases.Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.] · 2020
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  18. Advances in biomarker research for pancreatic cancer.Current pharmaceutical design · 2012
    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

10 authors at 1 institution in 1 country.

Henrik LaurellINSERM U531, IFR31, Institut Louis Bugnard, Toulouse, France.
Michele Bouisson
Philippe Berthelemy
Philippe Rochaix
Sebastien Dejean
Philippe Besse
Christiane Susini
Lucien Pradayrol
Nicole Vaysse
Louis Buscail
Inserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo compare gene expression profiles of pancreatic adenocarcinoma tissue specimens, human pancreatic and colon adenocarcinoma and leukemia cell lines and normal pancreas samples in order to distinguish differentially expressed genes and to validate the differential expression of a subset of genes by quantitative real-time RT-PCR (RT-QPCR) in endoscopic ultrasound-guided fine needle aspiration (EUS-guided FNA) specimens.

methodsCommercially dedicated cancer cDNA macroarrays (Atlas Human Cancer 1.2) containing 1176 genes were used. Different statistical approaches (hierarchical clustering, principal component analysis (PCA) and SAM) were used to analyze the expression data. RT-QPCR and immunohistochemical studies were used for validation of results.

resultsRT-QPCR validated the increased expression of LCN2 (lipocalin 2) and for the first time PLAT (tissue-type plasminogen activator or tPA) in malignant pancreas as compared with normal pancreas. Immunohistochemical analysis confirmed the increased expression of LCN2 protein localized in epithelial cells of ducts invaded by carcinoma. The analysis of PLAT and LCN2 transcripts in 12 samples obtained through EUS-guided FNA from patients with pancreatic adenocarcinoma showed significantly increased expression levels in comparison with those found in normal tissues, indicating that a sufficient amount of high quality RNA can be obtained with this technique.

conclusionExpression profiling is a useful method to identify biomarkers and potential target genes. Molecular analysis of EUS-guided FNA samples in pancreatic cancer appears as a valuable strategy for the diagnosis of pancreatic adenocarcinomas.

Indexed as

Gene Expression ProfilingReverse Transcriptase Polymerase Chain ReactionAcute-Phase ProteinsAdenocarcinomaBiomarkers, TumorBiopsy, Fine-NeedleCell Line, TumorColonic NeoplasmsEndosonographyGene Expression Regulation, NeoplasticGenes, NeoplasmHumansKeratin-7KeratinsLeukemiaLipocalin-2Acute-Phase ProteinsBiomarkers, TumorKeratin-7KeratinsKRT7 protein, humanLCN2 protein, humanLipocalin-2LipocalinsPLAT protein, humanProto-Oncogene ProteinsTissue Plasminogen Activator

Identifiers

PMID16733850
PMCPMC4087864
OpenAlexW2271596674

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.