2026-06-14T03:42:56Zhttps://repisalud.isciii.es/rest/oai/request

oai:repisalud.isciii.es:20.500.12105/83792024-09-27T10:10:42Zcom_20.500.12105_19604com_20.500.12105_2051col_20.500.12105_19607

00925njm 22002777a 4500 dc Mlecnik, Bernhard author Sanchez-Cabo, Fatima author Charoentong, Pornpimol author Bindea, Gabriela author Pagès, Franck author Berger, Anne author Galon, Jerome author Trajanoski, Zlatko author 2010-02 Cancer progression is a complex process involving host-tumor interactions by multiple molecular and cellular factors of the tumor microenvironment. Tumor cells that challenge immune activity may be vulnerable to immune destruction. To address this question we have directed major efforts towards data integration and developed and installed a database for cancer immunology with more than 1700 patients and associated clinical data and biomolecular data. Mining of the database revealed novel insights into the molecular mechanisms of tumor-immune cell interaction. In this paper we present the computational tools used to analyze integrated clinical and biomolecular data. Specifically, we describe a database for heterogeneous data types, the interfacing bioinformatics and statistical tools including clustering methods, survival analysis, as well as visualization methods. Additionally, we discuss generic issues relevant to the integration of clinical and biomolecular data, as well as recent developments in integrative data analyses including biomolecular network reconstruction and mathematical modeling. BMC Genomics. 2010; 11 Suppl 1:S7 10.1186/1471-2164-11-S1-S7 1471-2164 1471-2164 BMC genomics 20158878 http://hdl.handle.net/20.500.12105/8379 Data integration and exploration for the identification of molecular mechanisms in tumor-immune cells interaction