Open Access Highly Accessed Research article

Candidate pathways and genes for prostate cancer: a meta-analysis of gene expression data

Ivan P Gorlov1*, Jinyoung Byun1, Olga Y Gorlova2, Ana M Aparicio1, Eleni Efstathiou1 and Christopher J Logothetis1

Author Affiliations

1 Department of Genitourinary Medical Oncology, The University of Texas M. D. Anderson Cancer Center, Houston, TX, USA

2 Department of Epidemiology, The University of Texas M. D. Anderson Cancer Center, Houston, TX, USA

For all author emails, please log on.

BMC Medical Genomics 2009, 2:48  doi:10.1186/1755-8794-2-48

Published: 4 August 2009

Additional files

Additional file 1:

Description of datasets used for the meta-analysis. The data provided represent a brief description of the used datasets.

Format: DOC Size: 54KB Download file

This file can be viewed with: Microsoft Word Viewer

Open Data

Additional file 2:

Description of how many genes to use for an assessment of functional clustering. Text representing discussion of many genes to use for an assessment of functional clustering.

Format: DOC Size: 36KB Download file

This file can be viewed with: Microsoft Word Viewer

Open Data

Additional file 3:

List of the top 500 genes differentially expressed between normal prostate and localized prostate tumor – NP-nMPC transition. The data provided represent the list of the top 500 genes differentially expressed between normal prostate and localized prostate tumor.

Format: DOC Size: 531KB Download file

This file can be viewed with: Microsoft Word Viewer

Open Data

Additional file 4:

Schematics of cell adhesion pathway (according to the Kyoto Encyclopedia of Genes and Genomes). Picture representing cell adhesion pathway.

Format: PDF Size: 34KB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data

Additional file 5:

List of genes for Table 2 "Canonical pathways significant in the transition from normal prostate to localized prostate cancer (functional annotation by Ingenuity software)". The data provided represent the list of genes for Table 2.

Format: DOC Size: 39KB Download file

This file can be viewed with: Microsoft Word Viewer

Open Data

Additional file 6:

List of the top 500 differentially expressed genes in the transition from localized to metastatic prostate cancer – nMPC-MPC transition. The data provided represent the list of the top 500 differentially expressed genes in the transition from localized to metastatic prostate cancer.

Format: DOC Size: 531KB Download file

This file can be viewed with: Microsoft Word Viewer

Open Data

Additional file 7:

List of genes for Table 3 "Canonical significance in nonmetastatic prostate cancer to metastatic prostate cancer (nMPC-MPC) transition pathways identified by Ingenuity software". The data provided represent the list of genes for Table 3.

Format: DOC Size: 34KB Download file

This file can be viewed with: Microsoft Word Viewer

Open Data

Additional file 8:

List of genes for Table 4 "Canonical pathways identified in the combined analysis of genes differentially expressed between the transitions from normal prostate to primary nonmetastatic prostate cancer (NP-nMPC) and primary nonmetatatic to metastatic prostate cancer (nMPC-MPC)". The data provided represent the list of genes for Table 4.

Format: DOC Size: 34KB Download file

This file can be viewed with: Microsoft Word Viewer

Open Data

Additional file 9:

Changes in gene expression of different cell adhesion molecule in NP-nMPC transition. The data provided represent changes in gene expression of different cell adhesion molecule in NP-nMPC transition.

Format: DOC Size: 271KB Download file

This file can be viewed with: Microsoft Word Viewer

Open Data

Additional file 10:

Changes in expression of Integrin ligands in the transition from normal prostate to localized nonmetastatic prostate cancer – NP-nMPC transition. The data provided represent changes in expression of Integrin ligands in the transition from normal prostate to localized nonmetastatic prostate cancer.

Format: DOC Size: 83KB Download file

This file can be viewed with: Microsoft Word Viewer

Open Data