Submit Manuscript  

Article Details


Multidimensional Integration Analysis of Autophagy-related Modules in Colorectal Cancer

[ Vol. 16 , Issue. 4 ]

Author(s):

Yang Zhang, Zheng Zhang, Dong Wang, Jianzhen Xu, Yanhui Li, Hong Wang, Jin Li, Shaowen Mo, Yuncong Zhang, Yunqing Lin, Xiuzhao Fan, Enmin Li, Jian Huang*, Huihui Fan* and Ying Yi*   Pages 340 - 346 ( 7 )

Abstract:


Colorectal cancer (CRC) is a common malignant tumor of the digestive tract occurring in the colon, which mainly divided into adenocarcinoma, mucinous adenocarcinoma, and undifferentiated carcinoma. However, autophagy is related to the occurrence and development of various kinds of human diseases such as cancer. There is little research on the relationship between CRC and autophagy. Hence, we performed multidimensional integration analysis to systematically explore potential relationship between autophagy and CRC. Based on gene expression datasets of colon adenocarcinoma (COAD) and protein-protein interactions (PPIs), we first identified 12 autophagy-related modules in COAD using WGCNA. Then, 9 module pairs which with significantly crosstalk were deciphered, a total of 6 functional modules. Autophagy-related genes in these modules were closely related with CRC, emphasizing that the important role of autophagy-related genes in CRC, including PPP2CA and EIF4E, etc. In addition to, by integrating transcription factor (TF)-target and RNA-associated interactions, a regulation network was constructed, in which 42 TFs (including SMAD3 and TP53, etc.) and 20 miRNAs (including miR-20 and miR-30a, etc.) were identified as pivot regulators. Pivot TFs were mainly involved in cell cycle, cell proliferation and pathways in cancer. And pivot miRNAs were demonstrated associated with CRC. It suggests that these pivot regulators might be have an effect on the development of CRC by regulating autophagy. In a word, our results suggested that multidimensional integration strategy provides a novel approach to discover potential relationships between autophagy and CRC, and further improves our understanding of autophagy and tumor in human.

Keywords:

Colorectal cancer, autophagy, co-expression modules, multidimensional analysis, COAD, WGCNA.

Affiliation:

Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, 610054, Department of Physical Education, Nanjing Audit University, Nanjing, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, 610054, The Key Laboratory of Molecular Biology for High Cancer Incidence Coastal Chaoshan Area and Department of Biochemistry and Molecular Biology, Shantou University Medical College, Shantou 515041, Institute of Cardiovascular Sciences and Key Laboratory of Molecular Cardiovascular Sciences, Peking University Health Science Center, Beijing, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, The Key Laboratory of Molecular Biology for High Cancer Incidence Coastal Chaoshan Area and Department of Biochemistry and Molecular Biology, Shantou University Medical College, Shantou 515041, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, 610054, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin

Graphical Abstract:



Read Full-Text article