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Integrated cancer network

Christos Dimitrakopoulos, Sravanth Kumar Hindupur, Luca Häfliger, Jonas Behr, Hesam Montazeri, Michael N Hall, Niko Beerenwinkel
Motivation: Several molecular events are known to be cancer-related, including genomic aberrations, hypermethylation of gene promoter regions, and differential expression of microRNAs. These aberration events are very heterogeneous across tumors and it is poorly understood how they affect the molecular makeup of the cell, including the transcriptome and proteome. Protein interaction networks can help decode the functional relationship between aberration events and changes in gene and protein expression...
March 14, 2018: Bioinformatics
Zhong Ni, Xiting Wang, Tianchen Zhang, Linlin Li, Jianxue Li
Small cell lung cancer (SCLC) is the subtype of lung cancer with the highest degree of malignancy and the lowest degree of differentiation. The purpose of this study was to investigate the molecular mechanisms of SCLC using bioinformatics analysis, and to provide new ideas for the early diagnosis and targeted therapy of SCLC. Microarray data were downloaded from Gene Expression Omnibus. Differentially expressed genes (DEGs) in SCLC were compared with the normal lung samples and identified. Gene Ontology (GO) function and pathway analysis of DEGs was performed through the DAVID database...
April 2018: Experimental and Therapeutic Medicine
Carolina Torres, Paul J Grippo
Pancreatic ductal adenocarcinoma (PDAC) is projected to become the second cause of cancer-related deaths by 2020. Although it has traditionally been approached as one disease, accumulated evidences point to the clinical heterogeneity of this disease which translates into disparity in outcomes between patients. Much emphasis has been put into patient classification introducing a platform for more tailored therapies. In the last ten years, there have been important advances in the understanding of the molecular pathogenesis of PDAC, which has culminated with a comprehensive integrated genomic analysis from RNA expression profiles...
March 14, 2018: Annals of Medicine
Kumar Parijat Tripathi, Marina Piccirillo, Mario Rosario Guarracino
BACKGROUND: The endomembrane system, known as secretory pathway, is responsible for the synthesis and transport of protein molecules in cells. Therefore, genes involved in the secretory pathway are essential for the cellular development and function. Recent scientific investigations show that ER and Golgi apparatus may provide a convenient drug target for cancer therapy. On the other hand, it is known that abundantly expressed genes in different cellular organelles share interconnected pathways and co-regulate each other activities...
March 8, 2018: BMC Bioinformatics
Yanhong Yang, Na Zhang, Kundong Li, Juan Chen, Lang Qiu, Jufeng Zhang
Purpose: Berberine (BBR) is a traditional Chinese medicine normally used for gastroenteritis, and recent research found that it could fight against tumors. In this study, we focused on integrating miRNA sequencing and RNA sequencing of SGC-7901 gastric cancer cells treated by BBR to elucidate their underlying mechanisms. Materials and methods: WST-1 assay and flow cytometry were used to check the effects of BBR on SGC-7901. miRNA sequencing and RNA sequencing were used to establish the miRNA and mRNA profiles of BBR-treated SGC-7901...
2018: Drug Design, Development and Therapy
Peng Wu, Jia-Li Liu, Shi-Mei Pei, Chang-Peng Wu, Kai Yang, Shu-Peng Wang, Song Wu
BACKGROUND: Renal cell carcinoma (RCC) account for over 80% of renal malignancies. The most common type of RCC can be classified into three subtypes including clear cell, papillary and chromophobe. ccRCC (the Clear Cell Renal Cell Carcinoma) is the most frequent form and shows variations in genetics and behavior. To improve accuracy and personalized care and increase the cure rate of cancer, molecular typing for individuals is necessary. METHODS: We adopted the genome, transcriptome and methylation HMK450 data of ccRCC in The Cancer Genome Atlas Network in this research...
March 13, 2018: BMC Cancer
Azam Peyvandipour, Nafiseh Saberian, Adib Shafi, Michele Donato, Sorin Draghici
Motivation: Identification of novel therapeutic effects for existing U.S. Food and Drug Administration (FDA)-approved drugs, drug repurposing, is an approach aimed to dramatically shorten the drug discovery process, which is costly, slow and risky. Several computational approaches use transcriptional data to find potential repurposing candidates. The main hypothesis of such approaches is that if gene expression signature of a particular drug is opposite to the gene expression signature of a disease, that drug may have a potential therapeutic effect on the disease...
March 9, 2018: Bioinformatics
Pooya Mobadersany, Safoora Yousefi, Mohamed Amgad, David A Gutman, Jill S Barnholtz-Sloan, José E Velázquez Vega, Daniel J Brat, Lee A D Cooper
Cancer histology reflects underlying molecular processes and disease progression and contains rich phenotypic information that is predictive of patient outcomes. In this study, we show a computational approach for learning patient outcomes from digital pathology images using deep learning to combine the power of adaptive machine learning algorithms with traditional survival models. We illustrate how these survival convolutional neural networks (SCNNs) can integrate information from both histology images and genomic biomarkers into a single unified framework to predict time-to-event outcomes and show prediction accuracy that surpasses the current clinical paradigm for predicting the overall survival of patients diagnosed with glioma...
March 12, 2018: Proceedings of the National Academy of Sciences of the United States of America
Masood Abu-Halima, Mustafa Kahraman, Dominic Henn, Tanja Rädle-Hurst, Andreas Keller, Hashim Abdul-Khaliq, Eckart Meese
BACKGROUND: MicroRNAs (miRNAs) are small RNAs regulating gene expression post-transcriptionally. While acquired changes of miRNA and mRNA profiles in cancer have been extensively studied, little is known about expression changes of circulating miRNAs and messenger RNAs (mRNA) in monogenic constitutional anomalies affecting several organ systems, like Marfan syndrome (MFS). We performed integrated miRNA and mRNA expression profiling in blood samples of Marfan patients in order to investigate deregulated miRNA and mRNA networks in these patients which could serve as potential diagnostic and prognostic tools for MFS therapy...
March 12, 2018: Journal of Translational Medicine
Tian-Tian Li, Xiang Gao, Li Gao, Bin-Liang Gan, Zu-Cheng Xie, Jing-Jing Zeng, Gang Chen
BACKGROUND: It is generally acknowledged that miRNAs play pivotal roles in the initiation and development of cancer. The aim of the current study is to investigate the clinicopathological role of miR-136-5p in lung adenocarcinoma and its underlying molecular mechanism. MATERIALS AND METHODS: Data of a cohort of 1242 samples were provided by the Gene Expression Omnibus and The Cancer Genome Atlas to evaluate miR-136-5p expression in lung adenocarcinoma. A comprehensive meta-analysis integrating the expression data from all sources was performed, followed by a summary receiver operating curve plotted to appraise the upregulated expression of miR-136-5p in lung adenocarcinoma...
February 22, 2018: Pathology, Research and Practice
Eunjung Kim, Jae-Young Kim, Matthew A Smith, Eric B Haura, Alexander R A Anderson
During the last decade, our understanding of cancer cell signaling networks has significantly improved, leading to the development of various targeted therapies that have elicited profound but, unfortunately, short-lived responses. This is, in part, due to the fact that these targeted therapies ignore context and average out heterogeneity. Here, we present a mathematical framework that addresses the impact of signaling heterogeneity on targeted therapy outcomes. We employ a simplified oncogenic rat sarcoma (RAS)-driven mitogen-activated protein kinase (MAPK) and phosphoinositide 3-kinase-protein kinase B (PI3K-AKT) signaling pathway in lung cancer as an experimental model system and develop a network model of the pathway...
March 2018: PLoS Biology
Lionel Kankeu Fonkoua, Nelson S Yee
Palliative chemotherapy is the mainstay of treatment of advanced gastric carcinoma (GC). Monoclonal antibodies including trastuzumab, ramucirumab, and pembrolizumab have been shown to provide additional benefits. However, the clinical outcomes are often unpredictable and they can vary widely among patients. Currently, no biomarker is available for predicting treatment response in the individual patient except human epidermal growth factor receptor 2 (HER2) amplification and programmed death-ligand 1 (PD-L1) expression for effectiveness of trastuzumab and pembrolizumab, respectively...
March 9, 2018: Biomedicines
Siyi Xu, Jing Sui, Sheng Yang, Yufeng Liu, Yan Wang, Geyu Liang
Cutaneous melanoma (CM) is the most malignant tumor of skin cancers because of its rapid development and high mortality rate. Long noncoding RNAs (lncRNAs), which play essential roles in the tumorigenesis and metastasis of CM and interplay with microRNAs (miRNAs) and mRNAs, are hopefully considered to be efficient biomarkers to detect deterioration during the progression of CM to improve the prognosis. Bioinformatics analysis was fully applied to predict the vital lncRNAs and the associated miRNAs and mRNAs, which eventually constructed the competing endogenous RNA (ceRNA) network to explain the RNA expression patterns in the progression of CM...
March 9, 2018: Cancer Medicine
Sandra Huber, Tulin Karagenc, Dominic Ritler, Sven Rottenberg, Kerry Woods
Theileria annulata is an apicomplexan parasite that modifies the phenotype of its host cell completely, inducing uncontrolled proliferation, resistance to apoptosis and increased invasiveness. The infected cell thus resembles a cancer cell, and changes to various host cell signaling pathways accompany transformation. Most of the molecular mechanisms leading to Theileria-induced immortalization of leukocytes remain unknown. The parasite dissolves the surrounding host cell membrane soon after invasion and starts interacting with host proteins, ensuring its propagation by stably associating with the host cell microtubule network...
March 8, 2018: Cellular Microbiology
W Liang, F Sun
OBJECTIVE: To identify novel clinically relevant genes in papillary thyroid carcinoma from public databases. METHODS: Four original microarray datasets, GSE3678, GSE3467, GSE33630 and GSE58545, were downloaded. Differentially expressed genes (DEGs) were filtered from integrated data. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed, followed by protein-protein interaction (PPI) network construction...
March 8, 2018: Journal of Endocrinological Investigation
Chao Qi, Yuanlei Chen, Yixuan Zhou, Xucheng Huang, Guoli Li, Jin Zeng, Zhi Ruan, Xinyou Xie, Jun Zhang
Colorectal cancer (CRC) is considered the world's fourth most deadly cancer. Its metastasis is associated with poor prognosis and weakens the effects of treatment. However, the potential molecular mechanisms and key genes involved in CRC metastasis have remained to be comprehensively elucidated. The objective of the present study was to identify the key genes and molecular pathways underlying CRC metastasis. Differentially expressed genes (DEGs) between primary CRC tissues and metastatic CRC were identified by analyzing the GSE2509 dataset from the Gene Expression Omnibus database...
March 8, 2018: Oncology Reports
Qingqing Feng, Wei-Dong Chen, Yan-Dong Wang
The gut microbiota, as the main member in gut microecology, is an essential mediator in health and disease. The gut microbiota interacts with various organs and systems in the body, including brain, lung, liver, bone, cardiovascular system, and others. Microbiota-derived metabolites such as the short chain fatty acid (SCFA) butyrate are primary signals, which link the gut microbiota and physiology. Recently, the gut microbiota has been identified as the origin of a number of diseases by influencing the related cell signaling pathways such as WNT/beta-catenin pathway in colorectal cancer and T cell receptor signaling in the central nervous system...
2018: Frontiers in Microbiology
Ruidong Li, Han Qu, Shibo Wang, Julong Wei, Le Zhang, Renyuan Ma, Jianming Lu, Jianguo Zhu, Wei-De Zhong, Zhenyu Jia
Motivation: The large-scale multidimensional omics data in the Genomic Data Commons (GDC) provides opportunities to investigate the crosstalk among different RNA species and their regulatory mechanisms in cancers. Easy-to-use bioinformatics pipelines are needed to facilitate such studies. Results: We have developed a user-friendly R/Bioconductor package, named GDCRNATools, for downloading, organizing, and analyzing RNA data in GDC with an emphasis on deciphering the lncRNA-mRNA related competing endogenous RNAs (ceRNAs) regulatory network in cancers...
March 2, 2018: Bioinformatics
Jalal K Siddiqui, Elizabeth Baskin, Mingrui Liu, Carmen Z Cantemir-Stone, Bofei Zhang, Russell Bonneville, Joseph P McElroy, Kevin R Coombes, Ewy A Mathé
BACKGROUND: Integration of transcriptomic and metabolomic data improves functional interpretation of disease-related metabolomic phenotypes, and facilitates discovery of putative metabolite biomarkers and gene targets. For this reason, these data are increasingly collected in large (> 100 participants) cohorts, thereby driving a need for the development of user-friendly and open-source methods/tools for their integration. Of note, clinical/translational studies typically provide snapshot (e...
March 5, 2018: BMC Bioinformatics
Dirk Baumjohann
T helper (Th) cells are critically involved in adaptive immune responses against various pathogens. In contrast, dysregulated T helper cell responses are associated with a variety of diseases, including autoimmunity, allergies, and cancer. Differentiation of naïve CD4+ T cells into effector T helper cell subsets, including Th1, Th2, Th17, Treg, and Tfh, requires precise dosing of signaling molecules and transcription factors. MicroRNAs (miRNAs), which are small endogenously expressed RNAs that regulate gene expression, play important roles in these processes...
February 27, 2018: Cancer Letters
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