FOS Proliferating Network Construction in Early Colorectal Cancer (CRC) Based on Integrative Significant Function Cluster and Inferring Analysis

Lin Wang Center for Biomedical Engineering, School of Electronics Engineering, Beijing University of Posts and Telecommunications, Beijing, 100876, China

Ying Sun Center for Biomedical Engineering, School of Electronics Engineering, Beijing University of Posts and Telecommunications, Beijing, 100876, China

Minghu Jiang Lab of Computational Linguistics, School of Humanities and Social Sciences, Tsinghua University, Beijing, 100084, China

Shen Zhang Center for Biomedical Engineering, School of Electronics Engineering, Beijing University of Posts and Telecommunications, Beijing, 100876, China

Stefan Wolfl Institute of Pharmacia & Molecular Biotechnology, Department of Biology-Bioanalytic, University of Heidelberg, 69120, Heidelberg, Germany

Abstract

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.

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FOS Proliferating Network Construction in Early Colorectal Cancer (CRC) Based on Integrative Significant Function Cluster and Inferring Analysis

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FOS Proliferating Network Construction in Early Colorectal Cancer (CRC) Based on Integrative Significant Function Cluster and Inferring Analysis

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