title: OMICS and brain tumour biomarkers.
abstract: Currently, brain tumours are diagnosed by surgical biopsy and light microscopic examination of tissue, with immunohistochemistry in difficult cases. We review research in the field of brain tumour diagnosis and discuss several new approaches. In future, tumour type, optimal treatment, and prognosis could be obtained by studying the gene (genomics), protein (proteomics) or metabolite (metabolomics) content of tumour cells. These techniques generate complex data, analysed using techniques such as pattern recognition software to identify biomarker signatures of different tumours. Compared with individual biomarkers, biomarker signatures appear to increase diagnostic accuracy and may produce an improved brain tumour classification system.
authors.affiliation: Centre for Clinical Neuroscience, Division of Cardiac and Vascular Sciences, St George's University of London, UK.
authors.forename: Vladimir
authors.initials: V
authors.lastname: Petrik
authors.forename: Alison
authors.initials: A
authors.lastname: Loosemore
authors.forename: Franklyn A
authors.initials: FA
authors.lastname: Howe
authors.forename: B Anthony
authors.initials: BA
authors.lastname: Bell
authors.forename: Marios C
authors.initials: MC
authors.lastname: Papadopoulos
mesh_terms: D014408:Biomarkers, Tumor / Q000032:analysis*; D001706:Biopsy; D001932:Brain Neoplasms / Q000145:classification / Q000175:diagnosis* / Q000235:genetics / Q000473:pathology*; D002555:Cerebrospinal Fluid / Q000737:chemistry; D005819:Genetic Markers; D023281:Genomics / Q000379:methods; D006801:Humans; D016571:Neural Networks, Computer; D020411:Oligonucleotide Array Sequence Analysis; D010363:Pattern Recognition, Automated; D040901:Proteomics / Q000379:methods; D012984:Software
chemical_list: D014408:Biomarkers, Tumor; D005819:Genetic Markers