title: Differentially expressed mitochondrial genes in breast cancer cells: Potential new targets for anti-cancer therapies.
abstract: It has been reported that tumor growth and proliferation correspond to mitochondrial dysfunction and that the tumor cellular microenvironment plays a key role in tumor progression, representing an area that might be manipulated to confer therapeutic anti-tumor benefits. In this article, we have identified mitochondrial genes, largely nuclear-encoded genes, which are differentially expressed in breast cancer epithelial and stromal cells compared to cells from normal breast tissues. We determined that gene expression of the mitochondrial membrane respiratory chain complex I and IV and ATP synthesis were reduced in both in epithelial and stromal cancer cells compared to normal breast cells. We also found transport-related genes were significantly more highly expressed in breast cancer epithelial cells. Our data also suggest that mitochondria are likely to proliferate in breast cancer stromal cells, which is supported by the observation that MRPL12, POLG, and RNASEH1 are all up-regulated in cancerous stromal cells. In addition, we present an improved simulated annealing algorithm, SANetWalker, which can be used to detect the functional module. At the same time, this method has a minimal effect on network topology and can be used to identify the highest confidence functional module. Using SANetWalker, we obtained the highest confidence (90%) functional module with a fumarate hydratase (FH)-centered network with 40 nodes and 107 edges. Functional analysis revealed that glutamine metabolism genes were significantly up-regulated in both epithelial and stromal cells from breast cancer tissues, which implicates glutamine metabolism in breast cancer growth and metastasis.
authors.affiliation: School of Life Sciences, University of Science and Technology of China, 96 Jinzhai Road, Hefei, Anhui 230026, China; Key Laboratory of Structural Biology, Chinese Academy of Sciences, 96 Jinzhai Road, Hefei, Anhui 230026, China.
authors.forename: Qinglin
authors.initials: Q
authors.lastname: Zhang
authors.affiliation: School of Life Sciences, University of Science and Technology of China, 96 Jinzhai Road, Hefei, Anhui 230026, China; Key Laboratory of Structural Biology, Chinese Academy of Sciences, 96 Jinzhai Road, Hefei, Anhui 230026, China. Electronic address: liangzhi@ustc.edu.cn.
authors.forename: Zhi
authors.initials: Z
authors.lastname: Liang
authors.affiliation: School of Life Sciences, University of Science and Technology of China, 96 Jinzhai Road, Hefei, Anhui 230026, China; Key Laboratory of Structural Biology, Chinese Academy of Sciences, 96 Jinzhai Road, Hefei, Anhui 230026, China.
authors.forename: Yongxiang
authors.initials: Y
authors.lastname: Gao
authors.affiliation: School of Life Sciences, University of Science and Technology of China, 96 Jinzhai Road, Hefei, Anhui 230026, China; Key Laboratory of Structural Biology, Chinese Academy of Sciences, 96 Jinzhai Road, Hefei, Anhui 230026, China.
authors.forename: Maikun
authors.initials: M
authors.lastname: Teng
authors.affiliation: School of Life Sciences, University of Science and Technology of China, 96 Jinzhai Road, Hefei, Anhui 230026, China; Key Laboratory of Structural Biology, Chinese Academy of Sciences, 96 Jinzhai Road, Hefei, Anhui 230026, China.
authors.forename: Liwen
authors.initials: L
authors.lastname: Niu
mesh_terms: D000465:Algorithms; D001943:Breast Neoplasms / Q000235:genetics* / Q000378:metabolism / Q000473:pathology; D004847:Epithelial Cells / Q000378:metabolism / Q000473:pathology; D005260:Female; D015972:Gene Expression Regulation, Neoplastic; D050259:Genes, Mitochondrial; D054629:Genome, Mitochondrial; D005973:Glutamine / Q000235:genetics / Q000378:metabolism; D006801:Humans; D015203:Reproducibility of Results; D017154:Stromal Cells / Q000378:metabolism / Q000473:pathology; D015854:Up-Regulation / Q000235:genetics
chemical_list: D005973:Glutamine
keywords: Breast cancer; Gene Ontology (GO); KEGG; Mitochondria; Simulated annealing algorithm