tailieunhanh - Báo cáo y học: "proteomic characterization of non-small cell lung cancer in a comprehensive translational thoracic oncology database"

Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Wertheim cung cấp cho các bạn kiến thức về ngành y đề tài: proteomic characterization of non-small cell lung cancer in a comprehensive translational thoracic oncology database. | Surati et al. Journal of Clinical Bioinformatics 2011 1 8 http content 1 1 8 JOURNAL OF CLINICAL BIOINFORMATICS DATABASE Open Access Proteomic characterization of non-small cell lung cancer in a comprehensive translational thoracic oncology database 1 2 2 2 2 2 Mosmi Surati Matthew Robinson Suvobroto Nandi Leonardo Faoro Carley Demchuk Cleo E Rolle Rajani Kanteti2 Benjamin D Ferguson1 Rifat Hasina2 Tara C Gangadhar2 April K Salama2 Qudsia Arif3 c dlid m I A b d Cl r4 c d d I d d 1 d d d d d d A4 i b di I .1 c c d ldibdll2 Qi I .A idb .i I iA di AAA ACAil 5 idrAAKÌAi ill Al fl AAA2 Colin Kiichnei Eneida Mendonca Nicholas Campbell Suwiciia Limvoiasak Victoria Villailoi Thomas A Hensing6 Thomas Krausz3 Everett E Vokes2 Aliya N Husain3 Mark K Ferguson7 Theodore G Karrison8 Ravi Salgia2 Abstract Background In recent years there has been tremendous growth and interest in translational research particularly in cancer biology. This area of study clearly establishes the connection between laboratory experimentation and practical human application. Though it is common for laboratory and clinical data regarding patient specimens to be maintained separately the storage of such heterogeneous data in one database offers many benefits as it may facilitate more rapid accession of data and provide researchers access to greater numbers of tissue samples. Description The Thoracic Oncology Program Database Project was developed to serve as a repository for well-annotated cancer specimen clinical genomic and proteomic data obtained from tumor tissue studies. The TOPDP is not merely a library it is a dynamic tool that may be used for data mining and exploratory analysis. Using the example of non-small cell lung cancer cases within the database this study will demonstrate how clinical data may be combined with proteomic analyses of patient tissue samples in determining the functional relevance of protein over and under expression in this disease. Clinical data