Genomic heterogeneity of osteosarcoma - shift from single candidates to functional modules.

作者: Kathrin Poos , Jan Smida , Doris Maugg , Gertrud Eckstein , Daniel Baumhoer

DOI: 10.1371/JOURNAL.PONE.0123082

关键词: Human genomeGenetic heterogeneityGeneComputational biologyChromosomeContext (language use)CancerCDKN2AGeneticsBiologyModularity (networks)

摘要: Osteosarcoma (OS), a bone tumor, exhibit complex karyotype. On the genomic level highly variable degree of alterations in nearly all chromosomal regions and between individual tumors is observable. This hampers identification common drivers OS biology. To identify molecular mechanisms involved maintenance OS, we follow hypothesis that copy number-associated differences patients are intercepted on functional modules. The implementation based network approach utilizing number associated genes paired expression data protein interaction data. resulting modules tightly connected were interpreted regarding their biological functions potential prognostic significance. We identified an osteosarcoma assembling well-known lesser-known candidates. derived shows significant connectivity modularity suggesting affected by heterogeneous genetic share same context. participate several critical aspects cancer biology like DNA damage response, cell growth, motility which line with specifically deregulated but cancer. Further, could deduce possible significance for further investigation (e.g. EZR, CDKN2A, MAP3K5). Several those module located chromosome 6q. given systems provides evidence heterogeneity ordered system Different aberrations pointing to cellular vicinity form vital, already neoplastically altered, maintaining OS. observation, exemplarily now shown has been under discussion longer time, often hypothetical manner, can here be exemplified

参考文章(78)
Christos Gkantsidis, Ellen W. Zegura, Milena Mihail, The Markov Chain Simulation Method for Generating Connected Power Law Random Graphs. algorithm engineering and experimentation. pp. 16- 25 ,(2003)
Tamás Nepusz, Gábor Csárdi, The igraph software package for complex network research InterJournal Complex Systems. ,vol. 1695, ,(2006)
Marieke L. Kuijjer, Pancras C.W. Hogendoorn, Anne-Marie Cleton-Jansen, Genome-wide analyses on high-grade osteosarcoma: Making sense of a genomically most unstable tumor International Journal of Cancer. ,vol. 133, pp. 2512- 2521 ,(2013) , 10.1002/IJC.28124
Payal Agarwal, Farruk Mohammad Lutful Kabir, Patricia DeInnocentes, Richard Curtis, Tumor Suppressor Gene p16/INK4A/CDKN2A and Its Role in Cell Cycle Exit, Differentiation, and Determination of Cell Fate InTech. ,(2012) , 10.5772/27882
Tsz-Kwong Man, Xin-Yan Lu, Kim Jaeweon, Laszlo Perlaky, Charles P Harris, Shishir Shah, Marc Ladanyi, Richard Gorlick, Ching C Lau, Pulivarthi H Rao, Genome-wide array comparative genomic hybridization analysis reveals distinct amplifications in osteosarcoma. BMC Cancer. ,vol. 4, pp. 45- 45 ,(2004) , 10.1186/1471-2407-4-45
Meenalakshmi Chinnam, David W. Goodrich, RB1, development, and cancer. Current Topics in Developmental Biology. ,vol. 94, pp. 129- 169 ,(2011) , 10.1016/B978-0-12-380916-2.00005-X
Tomoki Aoyama, Takeshi Okamoto, Yoshiki Kohno, Kenichi Fukiage, Seiji Otsuka, Moritoshi Furu, Kinya Ito, Yonghui Jin, Satoshi Nagayama, Tomitaka Nakayama, Takashi Nakamura, Junya Toguchida, Cell-specific epigenetic regulation of ChM-I gene expression: Crosstalk between DNA methylation and histone acetylation Biochemical and Biophysical Research Communications. ,vol. 365, pp. 124- 130 ,(2008) , 10.1016/J.BBRC.2007.10.135
Robert J. Fitzsimmons, James T. Ryaby, Frank P. Magee, David J. Baylink, IGF‐II receptor number is increased in TE‐85 osteosarcoma cells by combined magnetic fields Journal of Bone and Mineral Research. ,vol. 10, pp. 812- 819 ,(2009) , 10.1002/JBMR.5650100519
Zuozhang Yang, Yongbin Chen, Yu Fu, Yihao Yang, Ya Zhang, Yanjin Chen, Dongqi Li, Meta-analysis of differentially expressed genes in osteosarcoma based on gene expression data BMC Medical Genetics. ,vol. 15, pp. 80- 80 ,(2014) , 10.1186/1471-2350-15-80
M. Zielenska, P. Marrano, P. Thorner, J. Pei, B. Beheshti, M. Ho, J. Bayani, Y. Liu, B.C. Sun, J.A. Squire, X.-S. Hao, High-resolution cDNA microarray CGH mapping of genomic imbalances in osteosarcoma using formalin-fixed paraffin-embedded tissue. Cytogenetic and Genome Research. ,vol. 107, pp. 77- 82 ,(2004) , 10.1159/000079574