DOI: 10.36347/sjds.2017.v04i11.005

Pages: 486-490

Cancer is a highly variable disease with multiple hetero-geneous genetic and epigenetic changes. Current cancer diagnosis and classification relies on clinical and histopathological information. However, some cases bring diagnostic confusion due to incomplete clinical information and atypical histopathologic features. The final deciphering of the complete human genome, together with the improvement of high throughput technologies, is causing a fundamental transformation in cancer research. Microarray technology permits simultaneous analysis of thousands of DNA sequences for genomic research and diagnostic applications. Microarray helps in studying the molecular basis of interactions on a scale that is impossible using conventional analysis. This technology promises to lead to improvements in developing rational approaches to therapy as well as to improvements in cancer diagnosis and prognosis. Predicting who will develop cancer and how the disease will behave and respond to therapy after diagnosis will be one of the potential benefits of this technology.