Predicting biomarkers for ovarian cancer using gene-expression microarrays

Ovarian cancer has the highest mortality rate of gynaecological cancers. This is partly due to the lack of effective screening markers. Here, we used oligonucleotide microarrays complementary to ∼12 000 genes to establish a gene-expression microarray (GEM) profile for normal ovarian tissue, as compa...

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Veröffentlicht in:	British journal of cancer 2004-02, Vol.90 (3), p.686-692
Hauptverfasser:	Adib, T R, Henderson, S, Perrett, C, Hewitt, D, Bourmpoulia, D, Ledermann, J, Boshoff, C
Format:	Artikel
Sprache:	eng
Schlagworte:	Biological and medical sciences Biomarkers, Tumor - analysis Biomedical and Life Sciences Biomedicine Cancer Research Drug Resistance Epidemiology Female Female genital diseases Forecasting Gene Expression Regulation Gynecology. Andrology. Obstetrics Humans Immunohistochemistry Mammaglobin B Mass Screening Medical sciences Molecular and Cellular Pathology Molecular Medicine Myelin Proteins Neoplasm Proteins Oligonucleotide Array Sequence Analysis Oncology Ovarian cancer Ovarian Neoplasms - genetics Ovarian Neoplasms - physiopathology Phenotype Proteolipids Reverse Transcriptase Polymerase Chain Reaction Secretoglobins Tumors Uteroglobin - analysis Uteroglobin - biosynthesis Uteroglobin - genetics
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