Proteomics, Pathway Array and Signaling Network-Based Medicine in Cancer Export

@article{citeulike:6044642, abstract = {Cancer is a multifaceted disease that results from dysregulated normal cellular signaling networks caused by genetic, genomic and epigenetic alterations at cell or tissue levels. Uncovering the underlying protein signaling network changes, including cell cycle gene networks in cancer, aids in understanding the molecular mechanism of carcinogenesis and identifies the characteristic signaling network signatures unique for different cancers and specific cancer subtypes. The identified signatures can be used for cancer diagnosis, prognosis, and personalized treatment. During the past several decades, the available technology to study signaling networks has significantly evolved to include such platforms as genomic microarray (expression array, SNP array, CGH array, etc.) and proteomic analysis, which globally assesses genetic, epigenetic, and proteomic alterations in cancer. In this review, we compared Pathway Array analysis with other proteomic approaches in analyzing protein network involved in cancer and its utility serving as cancer biomarkers in diagnosis, prognosis and therapeutic target identification. With the advent of bioinformatics, constructing high complexity signaling networks is possible. As the use of signaling network-based cancer diagnosis, prognosis and treatment is anticipated in the near future, medical and scientific communities should be prepared to apply these techniques to further enhance personalized medicine.}, author = {Zhang, David and Ye, Fei and Gao, Ling and Liu, Xiaoliang and Zhao, Xin and Che, Yufang and Wang, Hongxia and Wang, Libo and Wu, Josephine and Song, Dong and Liu, Wei and Xu, Hong and Jiang, Bo and Zhang, Weijia and Wang, Jinhua and Lee, Peng}, citeulike-article-id = {6044642}, citeulike-linkout-0 = {http://dx.doi.org/10.1186/1747-1028-4-20}, citeulike-linkout-1 = {http://view.ncbi.nlm.nih.gov/pubmed/19863813}, citeulike-linkout-2 = {http://www.hubmed.org/display.cgi?uids=19863813}, day = {28}, doi = {10.1186/1747-1028-4-20}, issn = {1747-1028}, journal = {Cell Division}, keywords = {cancer, microarray, network, pathway, proteomics, review, signaling}, month = {October}, number = {1}, pages = {20+}, posted-at = {2009-11-03 02:46:43}, priority = {2}, title = {Proteomics, Pathway Array and Signaling Network-Based Medicine in Cancer}, url = {http://dx.doi.org/10.1186/1747-1028-4-20}, volume = {4}, year = {2009} }

TY - JOUR ID - citeulike:6044642 L3 - citeulike-article-id:6044642 N2 - Cancer is a multifaceted disease that results from dysregulated normal cellular signaling networks caused by genetic, genomic and epigenetic alterations at cell or tissue levels. Uncovering the underlying protein signaling network changes, including cell cycle gene networks in cancer, aids in understanding the molecular mechanism of carcinogenesis and identifies the characteristic signaling network signatures unique for different cancers and specific cancer subtypes. The identified signatures can be used for cancer diagnosis, prognosis, and personalized treatment. During the past several decades, the available technology to study signaling networks has significantly evolved to include such platforms as genomic microarray (expression array, SNP array, CGH array, etc.) and proteomic analysis, which globally assesses genetic, epigenetic, and proteomic alterations in cancer. In this review, we compared Pathway Array analysis with other proteomic approaches in analyzing protein network involved in cancer and its utility serving as cancer biomarkers in diagnosis, prognosis and therapeutic target identification. With the advent of bioinformatics, constructing high complexity signaling networks is possible. As the use of signaling network-based cancer diagnosis, prognosis and treatment is anticipated in the near future, medical and scientific communities should be prepared to apply these techniques to further enhance personalized medicine. IS - 1 JF - Cell Division SN - 1747-1028 TI - Proteomics, Pathway Array and Signaling Network-Based Medicine in Cancer VL - 4 SP - 20 KW - cancer KW - microarray KW - network KW - pathway KW - proteomics KW - review KW - signaling AU - Zhang, David AU - Ye, Fei AU - Gao, Ling AU - Liu, Xiaoliang AU - Zhao, Xin AU - Che, Yufang AU - Wang, Hongxia AU - Wang, Libo AU - Wu, Josephine AU - Song, Dong AU - Liu, Wei AU - Xu, Hong AU - Jiang, Bo AU - Zhang, Weijia AU - Wang, Jinhua AU - Lee, Peng PY - 2009/10/28/ UR - http://dx.doi.org/10.1186/1747-1028-4-20 ER -