作者: Katharina Hartmann , Melanie Becker-Putsche , Thomas Bocklitz , Katharina Pachmann , Axel Niendorf
DOI: 10.1007/S00216-012-5887-9
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摘要: Chemotherapies feature a low success rate of about 25%, and therefore, the choice most effective cytostatic drug for individual patient monitoring efficiency an ongoing chemotherapy are important steps towards personalized therapy. Thereby, objective method able to differentiate between treated untreated cancer cells would be essential. In this study, we provide molecular insights into Docetaxel-induced effects in MCF-7 cells, as model system adenocarcinoma, by means Raman microspectroscopy combined with powerful chemometric methods. The analysis data is divided two steps. first part, morphology cell organelles, e.g. nucleus has been visualized analysing spectra k-means cluster artificial neural networks compared histopathologic gold standard hematoxylin eosin staining. This comparison showed that microscopy capable displaying morphology; however, contrast staining label free can therefore applied potentially vivo. Because Docetaxel acting within nucleus, originating from region were further investigated next step. Thereby quantify cell–drug response utilizing linear discriminant models.