Meta-analysis of microarray data on pancreatic cancer defines a set of commonly dysregulated genes (Q30989925)

28 June 2017

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Meta-analysis of microarray data on pancreatic cancer defines a set of commonly dysregulated genes (English)

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28 June 2017

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3

Ole Ammerpohl

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Robert Grützmann

1

Robert Grützmann

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Hans Konrad Schackert

6

Hans Konrad Schackert

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Hans-Detlev Saeger

8

Hans Detlev Saeger

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Jutta Lüttges

4

Jutta Lüttges

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Günter Klöppel

7

Günter Klöppel

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Christian Pilarsky

Christian Pilarsky

9

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author name string

Hinnerk Boriss

2

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28 June 2017

Holger Kalthoff

5

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28 June 2017

language of work or name

English

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publication date

1 July 2005

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28 June 2017

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28 June 2017

volume

24

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28 June 2017

issue

32

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28 June 2017

page(s)

5079-5088

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Tissue microarray (TMA) technology: miniaturized pathology archives for high-throughput in situ studies

28 June 2017

cites work

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Molecular alterations in pancreatic carcinoma: expression profiling shows that dysregulated expression of S100 genes is highly prevalent

21 January 2018

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Lipoxygenase and cyclooxygenase metabolism: new insights in treatment and chemoprevention of pancreatic cancer

21 January 2018

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Molecular profiling of human cancer

21 January 2018

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Large-scale meta-analysis of cancer microarray data identifies common transcriptional profiles of neoplastic transformation and progression

21 January 2018

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Prognostically useful gene-expression profiles in acute myeloid leukemia.

21 January 2018

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Microarray-based identification of differentially expressed growth- and metastasis-associated genes in pancreatic cancer

21 January 2018

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Molecular classification of cancer: class discovery and class prediction by gene expression monitoring

21 January 2018

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7 January 2021

ADAM9 expression in pancreatic cancer is associated with tumour type and is a prognostic factor in ductal adenocarcinoma

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7 January 2021

Role of the tumor microenvironment in mediating de novo resistance to drugs and physiological mediators of cell death

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7 January 2021

Exploration of global gene expression patterns in pancreatic adenocarcinoma using cDNA microarrays

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7 January 2021

Genome-wide cDNA microarray analysis of gene expression profiles in pancreatic cancers using populations of tumor cells and normal ductal epithelial cells selected for purity by laser microdissection

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7 January 2021

Statistical significance for genomewide studies

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7 January 2021

Identifiers

DOI

10.1038/SJ.ONC.1208696

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Dimensions Publication ID

28 June 2017

1030898217

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