Microarray technology breast cancer

Rapkiewicz A, Espina V, Zujewski JA et al (1925) The needle in the haystack application of breast fine-needle aspirate samples to quantitative protein microarray technology. Cancer 111 173-184... 

Furthermore, it is critical for physicians to determine which combination of treatment is most suitable for each individual patient. However, it still remains challenging to make an accurate predictive assessment of a patient s risk or response to certain treatment regimens. Advances in microarray technology promise breakthroughs in personalized medicine for breast cancer treatment. To date, the prediction models based on microarray technology for breast cancer have focused mainly on either transcriptional profiles or proteomic profiles, instead of the integrated transcriptional and proteomic profiles. 

Cooper CS, Application of microarray technology in breast cancer research, Breast Cancer Res., 3 158-175, 2001. 

Some early studies demonstrated the potential of the new technology [39-41] to examine the differences between normal and malignant colonic tissue [39] and identifying potential subclassifications of breast cancer [41]. An interesting aside to these studies was the different analytical methods used by the authors to analyze and interpret the data. This variability of approach remains a feature of microarray studies and can hinder the comparison of data from different studies. However, there are now processes in place which attempt to standardize at least some of the analyses [42],... 

The classification of human tumors using DNA microarray technology has been an area of intense research in the last decade. For example, many studies have consistently shown that breast cancer can be molecularly classified into at least four subtypes the basal-like subtype, the ERBB2-like subtype, and luminal-like subtypes A and B. Importantly, the newly defined molecular subgroups have distinct clinical outcomes and responses to therapy [48],... 

---