Molecular targets in gynaecological cancers.
The application of high throughput expression profiling and other advanced molecular biology laboratory techniques has revolutionised the management of cancers and is gaining attention in the field of gynaecological cancers. Such new approaches may help to improve our understanding of carcinogenesis and facilitate screening and early detection of gynaecological cancers and their precursors. Individualised prediction of patients' responses to therapy and design of personalised molecular targeted therapy is also possible. The studies of various molecular targets involved in the various signal pathways related to carcinogenesis are particularly relevant to such applications. At the moment, the application of detection and genotyping of human papillomavirus in management of cervical cancer is one of the most well established appliances of molecular targets in gynaecological cancers. Methylation, telomerase and clonality studies are also potentially useful, especially in assisting diagnosis of difficult clinical scenarios. This post-genomic era of clinical medicine will continue to make a significant impact in routine pathology practice. The contribution of pathologists is indispensable in analysis involving tissue microarray. On the other hand, both pathologists and bedside clinicians should be aware of the limitation of these molecular targets. Interpretation must be integrated with clinical and histopathological context to avoid misleading judgement. The importance of quality assurance of all such molecular techniques and their ethical implications cannot be over-emphasised.
Cheung
Annie N Y
AN
Department of Pathology, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China. anycheun@hkucc.hku.hk
D002471:Cell Transformation, Neoplastic; D005260:Female; D015870:Gene Expression; D020869:Gene Expression Profiling / Q000379:methods; D005833:Genital Neoplasms, Female / Q000175:diagnosis* / Q000235:genetics; D006801:Humans; D025202:Molecular Diagnostic Techniques / Q000379:methods* / Q000639:trends