Research article
Expression profiling identifies genes involved in neoplastic transformation of serous ovarian cancer
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* Corresponding author: Glen M Boyle Glen.Boyle@qimr.edu.au
1 Division of Cancer and Cell Biology, Queensland Institute of Medical Research, Brisbane, Queensland, Australia
2 Division of Genetics and Population Health, Queensland Institute of Medical Research, Brisbane, Queensland, Australia
3 School of Population Health, University of Queensland, Brisbane, Queensland, Australia
4 Sullivan Nicolaides Pathology Laboratory, Brisbane, Queensland, Australia
BMC Cancer 2009, 9:378 doi:10.1186/1471-2407-9-378
Published: 23 October 2009Additional files
Additional file 1:
Tissues analysed by oligonucleotide microarray. Detailed descriptions of normal and tumor tissues analyzed by microarray analysis.
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Additional file 2:
Validation set tissues analysed by real time PCR. Detailed descriptions of normal and tumor tissues analyzed by quantitative real time PCR analysis.
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Additional file 3:
Genes identified by ANOVA analysis of oligonucleotide microarray data. Full gene list detailing comparisons of serous tumors (benign, LMP, invasive) vs normal ovaries.
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Additional file 4:
Genes differentially expressed between serous invasive and benign tumors. Full gene list detailing comparisons of serous invasive vs benign tumors.
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Additional file 5:
Genes differentially expressed between serous invasive and normal ovarian tissue. Full gene list detailing comparisons of serous invasive vs normal whole ovaries.
Format: PDF Size: 44KB Download file
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Additional file 6:
Representative images of tissues used in the study. H+E staining of representative tissues that were included as part of the study.
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Additional file 7:
WNT pathway and related molecules expression profiling data. Expression profiling data of all WNT pathway and related molecules present on the microarrays.
Format: PDF Size: 140KB Download file
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