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Báo cáo y học: "Dissection of a metastatic gene expression signature into distinct components"

Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Minireview cung cấp cho các bạn kiến thức về ngành y đề tài: Dissection of a metastatic gene expression signature into distinct components. | Open Access Research Dissection of a metastatic gene expression signature into distinct components Paul Roepman Erica de Koning Dik van Leenen Roel A de Weger J Alain Kummer1 Piet J Slootweg and Frank CP Holstege Addresses Department of Physiological Chemistry University Medical Center Utrecht Universiteitsweg Utrecht the Netherlands. Department of Pathology University Medical Center Utrecht Heidelberglaan Utrecht the Netherlands. Correspondence Frank CP Holstege. Email f.c.p.holstege@umcutrecht.nl Published II December 2006 Genome Biology 2006 7 RII7 doi I0.II86 gb-2006-7- I2-rII7 The electronic version of this article is the complete one and can be found online at http genomebiology.com 2006 7 I2 RI I7 Received 20 October 2006 Revised 29 November 2006 Accepted II December 2006 2006 Roepman et al. licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License http creativecommons.org licenses by 2.0 which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract Background Metastasis the process whereby cancer cells spread is in part caused by an incompletely understood interplay between cancer cells and the surrounding stroma. Gene expression studies typically analyze samples containing tumor cells and stroma. Samples with less than 50 tumor cells are generally excluded thereby reducing the number of patients that can benefit from clinically relevant signatures. Results For a head-neck squamous cell carcinoma HNSCC primary tumor expression signature that predicts the presence of lymph node metastasis we first show that reduced proportions of tumor cells results in decreased predictive accuracy. To determine the influence of stroma on the predictive signature and to investigate the interaction between tumor cells and the surrounding microenvironment we used laser capture microdissection to divide the metastatic signature into six .