Principles of proteomics and its applications in cancer.

During the past decade, genomic analyses have been introduced into cancer studies with variable success. It has become recognised, however, that genomic techniques in isolation are insufficient to study the complex pathways of carcinogenesis; this has led to the application of proteomic techniques, which allow for the reliable analysis of complex mixtures of proteins. This article reviews the basic principles of proteomics, methods currently used in proteomics including two-dimensional gel electrophoresis (2-DE) and mass spectrometry (MS), and the application of proteomics in cancer research. Currently, proteomic technology has been used in two main areas of cancer research: early diagnosis and treatment (included prediction of response to treatment and targeting novel cancer agents). The initial results from both in vitro and in vivo studies are impressive. These technologies, particularly when combined with genomic analyses, will provide valuable insights into the molecular basis of carcinogenesis and the development of more effective anti-cancer therapies.

Neoadjuvant chemotherapy in women with large and locally advanced breast cancer: chemoresistance and prediction of response to drug therapy.

Patients with large and locally advanced breast cancer (LLABC) present with a therapeutic challenge and undergo multimodality treatment. Many such patients receive neoadjuvant chemotherapy (NAC) prior to surgery. However, a number of these patients do not respond well to NAC and only a percentage (usually less than 30%) obtains a complete or optimal response. A range of mechanisms are believed to be involved in this chemoresistance, including ATP binding cassette (ABC) transporter overexpression, dysregulation of apoptosis and possibly increased numbers of cancer stem cells. The chemoresistant processes may be due to more than one mechanism. The ability to predict a response to NAC would be beneficial, targeting expensive and toxic drug treatment to those likely to respond and providing a therapeutic strategy for further post-operative chemotherapy. Currently, many biomarkers have been studied with a view to establishing a predictor of response. However, no single biomarker appears to be effective. Genomics is a novel biotechnological process which is being used to predict response to drug therapy; this work is currently at an early stage of development