Literature DB >> 17129872

OMICS and brain tumour biomarkers.

Vladimir Petrik1, Alison Loosemore, Franklyn A Howe, B Anthony Bell, Marios C Papadopoulos.   

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.

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Year:  2006        PMID: 17129872     DOI: 10.1080/02688690600999620

Source DB:  PubMed          Journal:  Br J Neurosurg        ISSN: 0268-8697            Impact factor:   1.596


  4 in total

1.  Serum and urine metabolite profiling reveals potential biomarkers of human hepatocellular carcinoma.

Authors:  Tianlu Chen; Guoxiang Xie; Xiaoying Wang; Jia Fan; Yunping Qiu; Xiaojiao Zheng; Xin Qi; Yu Cao; Mingming Su; Xiaoyan Wang; Lisa X Xu; Yun Yen; Ping Liu; Wei Jia
Journal:  Mol Cell Proteomics       Date:  2011-04-25       Impact factor: 5.911

2.  Utilization of metabolomics to identify serum biomarkers for hepatocellular carcinoma in patients with liver cirrhosis.

Authors:  Habtom W Ressom; Jun Feng Xiao; Leepika Tuli; Rency S Varghese; Bin Zhou; Tsung-Heng Tsai; Mohammad R Nezami Ranjbar; Yi Zhao; Jinlian Wang; Cristina Di Poto; Amrita K Cheema; Mahlet G Tadesse; Radoslav Goldman; Kirti Shetty
Journal:  Anal Chim Acta       Date:  2012-07-20       Impact factor: 6.558

3.  Comparative metabolomics of MCF-7 breast cancer cells using different extraction solvents assessed by mass spectroscopy.

Authors:  Mohammad H Semreen; Hasan Y Alniss; Stefan R Grgic; Raafat A El-Awady; Ahmed H Almehdi; Muath K Mousa; Rifat A Hamoudi
Journal:  Sci Rep       Date:  2019-09-11       Impact factor: 4.379

4.  NCBI2RDF: enabling full RDF-based access to NCBI databases.

Authors:  Alberto Anguita; Miguel García-Remesal; Diana de la Iglesia; Victor Maojo
Journal:  Biomed Res Int       Date:  2013-07-28       Impact factor: 3.411

  4 in total

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