Báo cáo y học: ": Network analysis of skin tumor progression identifies a rewired genetic architecture affecting inflammation and tumor susceptibility"

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: Network analysis of skin tumor progression identifies a rewired genetic architecture affecting inflammation and tumor susceptibility. | Quigley et al. Genome Biology 2011 12 R5 http 2011 12 1 R5 Genome Biology RESEARCH Open Access Network analysis of skin tumor progression identifies a rewired genetie architecture affecting inflammation and tumor susceptibility 1 12 12 1 13 1 David A Quigley Minh D To Il Jin Kim Kevin K Lin Donna G Albertson Jonas Sjolund Jesús Pérez-Losada4 Allan Balmain 1 Abstract Background Germline polymorphisms can influence gene expression networks in normal mammalian tissues and can affect disease susceptibility. We and others have shown that analysis of this genetic architecture can identify single genes and whole pathways that influence complex traits including inflammation and cancer susceptibility. Whether germline variants affect gene expression in tumors that have undergone somatic alterations and the extent to which these variants influence tumor progression is unknown. Results Using an integrated linkage and genomic analysis of a mouse model of skin cancer that produces both benign tumors and malignant carcinomas we document major changes in germline control of gene expression during skin tumor development resulting from cell selection somatic genetic events and changes in the tumor microenvironment. The number of significant expression quantitative trait loci eQTL is progressively reduced in benign and malignant skin tumors when compared to normal skin. However novel tumor-specific eQTL are detected for several genes associated with tumor susceptibility including IL18 Il18 Granzyme E Gzme Sprouty homolog 2 Spry2 and Mitogen-activated protein kinase kinase 4 Map2k4 . Conclusions We conclude that the genetic architecture is substantially altered in tumors and that eQTL analysis of tumors can identify host factors that influence the tumor microenvironment mitogen-activated protein MAP kinase signaling and cancer susceptibility. Background Common genetic variants have been shown to affect many complex traits including cancer susceptibility 1 . However

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