FOS proliferating network construction in early colorectal cancer (CRC) based on integrative significant function cluster and inferring analysis.
The aim is to setup single distinguished molecular network. We constructed FOS proliferating network from 22 colorectal samples of the same GEO dataset by GRNInfer tool and DAVID based on linear programming and a decomposition procedure with integrated Kappa statistics and fuzzy heuristic clustering. In the control, we found no proliferating subnetwork. In CRC, we identified one FOS proliferating module (SFRP2, ADAMTS1, SYNPO2, VIP, ADAM33 inhibition to FOS and MGP, FOSB activation to FOS. FOS activation to IGFBP5, LGI1, GAS1 and FOS inhibition to VIP). These results may be useful for developing novel prognostic markers and therapeutic targets in CRC.
Wang
Lin
L
Center for Biomedical Engineering, Beijing University of Posts and Telecommunications, China. wanglin98@tsinghua.org.cn
Sun
Ying
Y
Jiang
Minghu
M
Zhang
Shen
S
Wolfl
Stefan
S
D014408:Biomarkers, Tumor / Q000235:genetics* / Q000378:metabolism; D049109:Cell Proliferation; D016000:Cluster Analysis; D015179:Colorectal Neoplasms / Q000235:genetics* / Q000378:metabolism / Q000473:pathology; D030541:Databases, Genetic; D017143:Fuzzy Logic; D020869:Gene Expression Profiling / Q000379:methods; D015972:Gene Expression Regulation, Neoplastic; D053263:Gene Regulatory Networks; D006801:Humans; D016014:Linear Models; D008954:Models, Biological; D008957:Models, Genetic; D009716:Numerical Analysis, Computer-Assisted; D020411:Oligonucleotide Array Sequence Analysis; D016761:Oncogene Proteins v-fos / Q000235:genetics* / Q000378:metabolism; D011379:Prognosis; D015398:Signal Transduction / Q000235:genetics*
D014408:Biomarkers, Tumor; D016761:Oncogene Proteins v-fos