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Integrated cancer network

Nikos A Afratis, Konstantina Karamanou, Zoi Piperigkou, Demitrios H Vynios, Achilleas D Theocharis
Glycosaminoglycans are integral part of the dynamic extracellular matrix (ECM) network that control crucial biochemical and biomechanical signals required for tissue morphogenesis, differentiation, homeostasis and cancer development. Breast cancer cells communicate with stromal ones to modulate ECM mainly through release of soluble effectors during cancer progression. The intracellular cross-talk between cell surface receptors and estrogen receptors is important for the regulation of breast cancer cell properties and production of ECM molecules...
October 24, 2016: Glycoconjugate Journal
Hui Liu, Fan Zhang, Shital Kumar Mishra, Shuigeng Zhou, Jie Zheng
Modeling of signaling pathways is crucial for understanding and predicting cellular responses to drug treatments. However, canonical signaling pathways curated from literature are seldom context-specific and thus can hardly predict cell type-specific response to external perturbations; purely data-driven methods also have drawbacks such as limited biological interpretability. Therefore, hybrid methods that can integrate prior knowledge and real data for network inference are highly desirable. In this paper, we propose a knowledge-guided fuzzy logic network model to infer signaling pathways by exploiting both prior knowledge and time-series data...
October 24, 2016: Scientific Reports
Lei Chen, Baoman Wang, ShaoPeng Wang, Jing Yang, Jerry Hu, ZhiQun Xie, Yuwei Wang, Tao Huang, Yu-Dong Cai, ZhiQun Xie
Oncogenes are genes that have the potential to cause cancer. Oncogene research can provide insight into the occurrence and development of cancer, thereby helping to prevent cancer and to design effective treatments. This study proposes a network method called the oncogene prediction method based on shortest path algorithm (OPMSP) for the identification of novel oncogenes in a large protein network built using protein-protein interaction data. Novel putative genes were extracted from the shortest paths connecting any two known oncogenes...
October 21, 2016: Protein and Peptide Letters
Ruifeng Liu, Xueping Yu, Anders Wallqvist
Chemical toxicity is conventionally evaluated in animal models. However, animal models are resource intensive; moreover, they face ethical and scientific challenges because the outcomes obtained by animal testing may not correlate with human responses. To develop an alternative method for assessing chemical toxicity, we investigated the feasibility of using chemical-induced genome-wide expression changes in cultured human cells to predict the potential of a chemical to cause specific organ injuries in humans...
October 21, 2016: Chemical Research in Toxicology
Xinyi Liu, Dongfei Feng, Dianming Liu, Shuyuan Wang, Xuexin Yu, Enyu Dai, Jing Wang, Lihong Wang, Wei Jiang
BACKGROUND: Breast cancer is the most common incident form of cancer in women including different subtypes. Cancer stem cells (CSCs) have been confirmed to exist in breast cancer. But the research on the origin of breast cancer subtype stem cells (BCSSCs) is still inadequate. METHODS: We identified the putative origin cells of BCSSCs through comparing gene signatures between BCSSCs and normal mammary cells from multiple perspectives: common signature, expression consistency, functional similarity and shortest path length...
2016: PloS One
Navadon Khunlertgit, Byung-Jun Yoon
BACKGROUND: Discovering robust markers for cancer prognosis based on gene expression data is an important yet challenging problem in translational bioinformatics. By integrating additional information in biological pathways or a protein-protein interaction (PPI) network, we can find better biomarkers that lead to more accurate and reproducible prognostic predictions. In fact, recent studies have shown that, "modular markers," that integrate multiple genes with potential interactions can improve disease classification and also provide better understanding of the disease mechanisms...
October 6, 2016: BMC Bioinformatics
Sung-Hwan Cho, Sang-Min Park, Ho-Sung Lee, Hwang-Yeol Lee, Kwang-Hyun Cho
BACKGROUND: Colorectal cancer arises from the accumulation of genetic mutations that induce dysfunction of intracellular signaling. However, the underlying mechanism of colorectal tumorigenesis driven by genetic mutations remains yet to be elucidated. RESULTS: To investigate colorectal tumorigenesis at a system-level, we have reconstructed a large-scale Boolean network model of the human signaling network by integrating previous experimental results on canonical signaling pathways related to proliferation, metastasis, and apoptosis...
October 20, 2016: BMC Systems Biology
Zhanzhan Xu, Yu Zhou, Yexuan Cao, Thi Lan Anh Dinh, Jing Wan, Min Zhao
Ovarian cancer is the first leading cause of mortality in gynecological malignancies. To identify key genes and microRNAs in ovarian cancer, mRNA microarray dataset GSE36668, GSE18520, GSE14407 and microRNA dataset GSE47841 were downloaded from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) and microRNAs (DEMs) were obtained using GEO2R. Functional and pathway enrichment analysis were performed for DEGs using DAVID database. Protein-protein interaction (PPI) network was established by STRING and visualized by Cytoscape...
November 2016: Medical Oncology
José E Belizário, Beatriz A Sangiuliano, Marcela Perez-Sosa, Jennifer M Neyra, Dayson F Moreira
With multiple omics strategies being applied to several cancer genomics projects, researchers have the opportunity to develop a rational planning of targeted cancer therapy. The investigation of such numerous and diverse pharmacogenomic datasets is a complex task. It requires biological knowledge and skills on a set of tools to accurately predict signaling network and clinical outcomes. Herein, we describe Web-based in silico approaches user friendly for exploring integrative studies on cancer biology and pharmacogenomics...
2016: Frontiers in Pharmacology
Daniel O'Brien, Patricija van Oosten-Hawle
Cells have developed robust adaptation mechanisms to survive environmental conditions that challenge the integrity of their proteome and ensure cellular viability. These are stress signalling pathways that integrate extracellular signals with the ability to detect and efficiently respond to protein-folding perturbations within the cell. Within the context of an organism, the cell-autonomous effects of these signalling mechanisms are superimposed by cell-non-autonomous stress signalling pathways that allow co-ordination of stress responses across tissues...
October 15, 2016: Essays in Biochemistry
Daeyong Jin, Hyunju Lee
MicroRNAs (miRNAs) are small non-coding RNAs regulating the expression of target genes, and they are involved in cancer initiation and progression. Even though many cancer-related miRNAs were identified, their functional impact may vary, depending on their effects on the regulation of other miRNAs and genes. In this study, we propose a novel method for the prioritization of candidate cancer-related miRNAs that may affect the expression of other miRNAs and genes across the entire biological network. For this, we propose three important features: the average expression of a miRNA in multiple cancer samples, the average of the absolute correlation values between the expression of a miRNA and expression of all genes, and the number of predicted miRNA target genes...
October 13, 2016: Scientific Reports
Jennifer Hulme, Catherine Moravac, Farah Ahmad, Shelley Cleverly, Aisha Lofters, Ophira Ginsburg, Sheila Dunn
BACKGROUND: Breast and cervical cancer screening rates remain low among immigrant women and those of low socioeconomic status. The Cancer Awareness: Ready for Education and Screening (CARES) project ran a peer-led multi-lingual educational program between 2012 and 2014 to reach under and never-screened women in Central Toronto, where breast and cervical cancer screening rates remain low. The objective of this qualitative study was to better understand how Chinese and South Asian immigrants - the largest and most under-screened immigrant groups according to national and provincial statistics - conceive of breast and cervical cancer screening...
October 13, 2016: BMC Public Health
Zahra Razaghi-Moghadam, Razieh Abdollahi, Sama Goliaei, Morteza Ebrahimi
In the past few years, many researches have been conducted on identifying and prioritizing disease-related genes with the goal of achieving significant improvements in treatment and drug discovery. Both experimental and computational approaches have been exploited in recent studies to explore disease-susceptible genes. The experimental methods for identification of these genes are usually time-consuming and expensive. As a result, a substantial number of these studies have shown interest in utilizing computational techniques, commonly known as gene prioritization methods...
October 7, 2016: Journal of Biomedical Informatics
Michael Seifert, Betty Friedrich, Andreas Beyer
It has proven exceedingly difficult to ascertain rare copy number alterations (CNAs) that may have strong effects in individual tumors. We show that a regulatory network inferred from gene expression and gene copy number data of 768 human cancer cell lines can be used to quantify the impact of patient-specific CNAs on survival signature genes. A focused analysis of tumors from six tissues reveals that rare patient-specific gene CNAs often have stronger effects on signature genes than frequent gene CNAs. Further comparison to a related network-based approach shows that the integration of indirectly acting gene CNAs significantly improves the survival analysis...
October 3, 2016: Genome Biology
Anibal Bueno, Ian Morilla, Diego Diez, Aurelio A Moya-Garcia, José Lozano, Juan A G Ranea
RAS proteins are the founding members of the RAS superfamily of GTPases. They are involved in key signaling pathways regulating essential cellular functions such as cell growth and differentiation. As a result, their deregulation by inactivating mutations often results in aberrant cell proliferation and cancer. With the exception of the relatively well-known KRAS, HRAS and NRAS proteins, little is known about how the interactions of the other RAS human paralogs affect cancer evolution and response to treatment...
October 3, 2016: Oncotarget
Anna Rodina, Tai Wang, Pengrong Yan, Erica DaGama Gomes, Mark P S Dunphy, Nagavarakishore Pillarsetty, John Koren, John F Gerecitano, Tony Taldone, Hongliang Zong, Eloisi Caldas-Lopes, Mary Alpaugh, Adriana Corben, Matthew Riolo, Brad Beattie, Christina Pressl, Radu I Peter, Chao Xu, Robert Trondl, Hardik J Patel, Fumiko Shimizu, Alexander Bolaender, Chenghua Yang, Palak Panchal, Mohammad F Farooq, Sarah Kishinevsky, Shanu Modi, Oscar Lin, Feixia Chu, Sujata Patil, Hediye Erdjument-Bromage, Pat Zanzonico, Clifford Hudis, Lorenz Studer, Gail J Roboz, Ethel Cesarman, Leandro Cerchietti, Ross Levine, Ari Melnick, Steven M Larson, Jason S Lewis, Monica L Guzman, Gabriela Chiosis
Transient, multi-protein complexes are important facilitators of cellular functions. This includes the chaperome, an abundant protein family comprising chaperones, co-chaperones, adaptors, and folding enzymes-dynamic complexes of which regulate cellular homeostasis together with the protein degradation machinery. Numerous studies have addressed the role of chaperome members in isolation, yet little is known about their relationships regarding how they interact and function together in malignancy. As function is probably highly dependent on endogenous conditions found in native tumours, chaperomes have resisted investigation, mainly due to the limitations of methods needed to disrupt or engineer the cellular environment to facilitate analysis...
October 5, 2016: Nature
Amit Pathak
Epithelial-to-mesenchymal transition (EMT) enables scattering of cell clusters and disseminates motile cells to distant locations in vivo during embryonic development and cancer metastasis. Both stiffness and topography of the extracellular matrix (ECM) have been shown to influence EMT. In this work, we examine how the integrity of epithelial cell clusters is regulated by subcellular forces, protrusions, and adhesions for varying ECM inputs, such as stiffness, topography, and dimensionality. Our model simulates multicell networks of defined sizes and shapes in ECMs of varied stiffness and geometry...
October 4, 2016: Biophysical Journal
Jianting Xu, Changyong E, Yongfang Yao, Shuangchun Ren, Guoqing Wang, Haofan Jin
Gastric cancer (GC) is one of the most common types of cancer of the digestive tract. Invasion of tumor cells into surrounding tissue and metastasis are among the most significant checkpoints in tumor progression. It is known that matrix metalloproteinases (MMPs) are involved in these processes; however, knowledge of their molecular interaction networks is still limited. Investigation of these networks could provide a more comprehensive picture of the function of MMPs in tumorigenesis. Furthermore, it could be used to develop new approaches to targeted anticancer therapy...
October 2016: Oncology Letters
Junguo Wang, Fang Mei, Xia Gao, Shoulin Wang
Nasopharyngeal carcinoma (NPC) is the most common cancer originating from the nasopharynx, and can be induced by infection with Epstein-Barr virus (EBV). To study the mechanisms of EBV-associated NPC, a microarray of the GSE12452 dataset was analyzed. GSE12452 was downloaded from Gene Expression Omnibus and consisted of 31 NPC samples and 10 normal healthy nasopharyngeal tissue samples. The differentially-expressed genes (DEGs) were screened using the linear models for microarray data package in R. Using Database for Annotation, Visualization and Integrated Discovery software, potential functions of the DEGs were predicted by Gene Ontology and pathway enrichment analyses...
October 2016: Oncology Letters
Guo-Hua Jin, Wei Xu, Yang Shi, Li-Bo Wang
Gastric cancer (GC) is a prevalent cancer, which remains incurable, and therefore requires an alternative treatment method. Celecoxib is a nonsteroidal anti-inflammatory drug that targets cyclooxygenase-2, and exhibits anticancer effects. The present study aimed to investigate the anti-GC mechanism of celecoxib using bioinformatics methods. Gene expression datasets GSE56807 (GC tissues and normal gastric tissues) and GSE54657 (celecoxib-treated and non-treated human GC epithelial AGS cells) were downloaded from the Gene Expression Omnibus database...
October 2016: Oncology Letters
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