Bioanalysis in Cancer Research

Future Science Ltd, May 2010, Pages: 118

Statistics from the World Health Organization show cancer to be a leading cause of death worldwide, with 7.4 million deaths (~13% of all deaths worldwide) attributed to cancer in 2004. This rate is predicted to continue growing, with an estimated 12 million cancer deaths predicted for 2030. Tumors arise from a single normal cell and are caused by interactions between genetic factors and exposure to any of the following: physical (e.g. UV or radiation), chemical (e.g. asbestos or tobacco) and biological (e.g. hepatitis B or Human Papilloma Virus) carcinogens.

Many cancer deaths could be prevented by avoiding risk factors, for example by stopping smoking or losing weight. Survival outcomes can be significantly improved by early diagnosis, appropriate disease monitoring and disease management.

Bioanalysis has a pivotal role in cancer diagnosis and prognosis, determining the appropriate therapy and, subsequently, monitoring the effectiveness of the therapy. Important topics such as quantification of diagnostic and prognostic biomarkers, genomics for determining the appropriate therapy for particular patients and the role of therapeutic drug monitoring in chemotherapy management are discussed by international experts in this special focus issue of Bioanalysis.

EDITORIAL:
- Steps along the road to electrochemical devices for early cancer diagnosis
James F Rusling

COMMENTARY:
- Cancer-related forecast biomarkers: a topic in focus of the Worldwide Innovative Network in Personalized Cancer Medicine (WIN)
Manfred Schmitt, Vladimir Lazar

REVIEWS:
- Derivation of cancer diagnostic and prognostic signatures from gene expression data
Steve Goodison, Yijun Sun, Virginia Urquidi

- Therapeutic drug monitoring in cancer chemotherapy
Dylan M Bach, Joely A Straseski, William Clarke

- Biomarkers in cancer micrometastasis: where are we at?
Noha Gerges, Nada Jabado

- miRNAs as biomarkers in colorectal cancer diagnosis and prognosis
Jingfang Ju

- Aptamers selected by cell-SELEX for application in cancer studies
Yunfei Zhang, Yan Chen, Da Han, Ismail Ocsoy, Weihong Tan

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