keyword
MENU ▼
Read by QxMD icon Read
search

Integrated cancer network

keyword
https://www.readbyqxmd.com/read/27912078/mouse-double-minute-2-homolog-actively-suppresses-p53-activity-in-oocytes-during-mouse-folliculogenesis
#1
Chen-Xi Zhang, Qin Zhang, Yin-Yin Xie, Xue-Yan He, Cong Xiang, Xiao-Shuang Hou, Ying Zhou, Lai Chen, Guo-Xin Zhang, Geng Liu
The p53 signaling network is indispensible in cellular stress responses and tumor suppression. Negative regulations of p53 by mouse double minute 2 and 4 homologs (MDM2) and (MDM4) are an integrated component of the network and have been implicated in regulating the stress responses and the maintenance of normal development and homeostasis of multiple somatic cell lineages. However, the regulatory role of MDM2 on p53 and stress responses in female germ cells remains undetermined. Here, we used the Cre-loxP system to delete Mdm2 in oocytes at different stages of folliculogenesis in mice...
November 29, 2016: American Journal of Pathology
https://www.readbyqxmd.com/read/27911271/immunoglobulin-superfamily-genes-are-novel-prognostic-biomarkers-for-breast-cancer
#2
Yue Li, Maoni Guo, Zhenkun Fu, Peng Wang, Yan Zhang, Yue Gao, Ming Yue, Shangwei Ning, Dianjun Li
Breast cancer progression is associated with dysregulated expression of the immunoglobulin superfamily (IgSF) genes that are involved in cell-cell recognition, binding and adhesion. Despite widespread evidence that many IgSF genes could serve as effective biomarkers, this potential has not been realized because the studies have focused mostly on individual genes and not the entire network. To gain a global perspective of the IgSF-related biomarkers, we constructed an IgSF-directed neighbor network (IDNN) and an IgSF-directed driver network (IDDN) by integrating multiple levels of data, including IgSF genes, breast cancer driver genes, protein-protein interaction (PPI) networks and gene expression profiling data...
November 29, 2016: Oncotarget
https://www.readbyqxmd.com/read/27907895/mutlbsgenedb-mutated-ligand-binding-site-gene-database
#3
Pora Kim, Junfei Zhao, Pinyi Lu, Zhongming Zhao
Mutations at the ligand binding sites (LBSs) can influence protein structure stability, binding affinity with small molecules, and drug resistance in cancer patients. Our recent analysis revealed that ligand binding residues had a significantly higher mutation rate than other parts of the protein. Here, we built mutLBSgeneDB (mutated Ligand Binding Site gene DataBase) available at http://zhaobioinfo.org/mutLBSgeneDB We collected and curated over 2300 genes (mutLBSgenes) having ∼12 000 somatic mutations at ∼10 000 LBSs across 16 cancer types and selected 744 drug targetable genes (targetable_mutLBSgenes) by incorporating kinases, transcription factors, pharmacological genes, and cancer driver genes...
October 7, 2016: Nucleic Acids Research
https://www.readbyqxmd.com/read/27907011/uncover-mirna-disease-association-by-exploiting-global-network-similarity
#4
Min Chen, Xingguo Lu, Bo Liao, Zejun Li, Lijun Cai, Changlong Gu
Identification of miRNA-disease association is a fundamental challenge in human health clinic. However, the known miRNA-disease associations are rare and experimental verification methods are expensive and time-consuming. Therefore, there is a strong incentive to develop computational methods. In this paper, we calculate the similarity score for each miRNAs pair by integrating miRNA functional similarity and miRNA family information. We use the disease phenotype similarity data to construct the disease similarity network...
2016: PloS One
https://www.readbyqxmd.com/read/27906454/immunotherapy-of-head-and-neck-cancer-emerging-clinical-trials-from-a-national-cancer-institute-head-and-neck-cancer-steering-committee-planning-meeting
#5
Julie E Bauman, Ezra Cohen, Robert L Ferris, David J Adelstein, David M Brizel, John A Ridge, Brian O'Sullivan, Barbara A Burtness, Lisa H Butterfield, William E Carson, Mary L Disis, Bernard A Fox, Thomas F Gajewski, Maura L Gillison, James W Hodge, Quynh-Thu Le, David Raben, Scott E Strome, Jean Lynn, Shakun Malik
Recent advances have permitted successful therapeutic targeting of the immune system in head and neck squamous cell carcinoma (HNSCC). These new immunotherapeutic targets and agents are being rapidly adopted by the oncologic community and hold considerable promise. The National Cancer Institute sponsored a Clinical Trials Planning Meeting to address the issue of how to further investigate the use of immunotherapy in patients with HNSCC. The goals of the meeting were to consider phase 2 or 3 trial designs primarily in 3 different patient populations: those with previously untreated, human papillomavirus-initiated oropharyngeal cancers; those with previously untreated, human papillomavirus-negative HNSCC; and those with recurrent/metastatic HNSCC...
December 1, 2016: Cancer
https://www.readbyqxmd.com/read/27903980/identification-of-biomarker-micrornas-for-predicting-the-response-of-colorectal-cancer-to-neoadjuvant-chemoradiotherapy-based-on-microrna-regulatory-network
#6
Yaqun Zhu, Qiliang Peng, Yuxin Lin, Li Zou, Peipei Shen, Feifei Chen, Ming Min, Li Shen, Jiajia Chen, Bairong Shen
Preoperative radiotherapy or chemoradiotherapy has become a standard procedure for treatment of patients with locally advanced colorectal cancer (CRC). However, patients' responses to treatment are different and personalized. MicroRNAs (miRNAs) are promising biomarkers for predicting personalized responses. In this study, we collected 30 publicly reported miRNAs associated with chemoradiotherapy of CRC. We extracted 46 differentially expressed miRNAs from samples of responders and non-responders to preoperative radiotherapy from the Gene Expression Omnibus dataset (Student's t test, p-value < 0...
November 26, 2016: Oncotarget
https://www.readbyqxmd.com/read/27903896/img-abc-new-features-for-bacterial-secondary-metabolism-analysis-and-targeted-biosynthetic-gene-cluster-discovery-in-thousands-of-microbial-genomes
#7
Michalis Hadjithomas, I-Min A Chen, Ken Chu, Jinghua Huang, Anna Ratner, Krishna Palaniappan, Evan Andersen, Victor Markowitz, Nikos C Kyrpides, Natalia N Ivanova
Secondary metabolites produced by microbes have diverse biological functions, which makes them a great potential source of biotechnologically relevant compounds with antimicrobial, anti-cancer and other activities. The proteins needed to synthesize these natural products are often encoded by clusters of co-located genes called biosynthetic gene clusters (BCs). In order to advance the exploration of microbial secondary metabolism, we developed the largest publically available database of experimentally verified and predicted BCs, the Integrated Microbial Genomes Atlas of Biosynthetic gene Clusters (IMG-ABC) (https://img...
November 29, 2016: Nucleic Acids Research
https://www.readbyqxmd.com/read/27899990/microarray-analysis-of-differentially-expressed-genes-and-linker-genes-associated-with-the-molecular-mechanism-of-colorectal-cancer
#8
Xingjie Shen, Meng Yue, Fansheng Meng, Jingyu Zhu, Xiaoyan Zhu, Yakun Jiang
Colorectal cancer (CRC) is one of the most prevalent malignancies worldwide and remains the third leading cause of cancer-associated mortality. The present study aimed to fully elucidate the pathogenesis of CRC and identify associated genes in tumor development. Microarray GSE44076, GSE41328 and GSE44861 datasets were downloaded from the Gene Expression Omnibus database and integrated with meta-analysis. Differentially-expressed genes (DEGs) were identified from CRC samples compared with adjacent non-cancerous controls using the Limma package in R, followed by functional analysis using the Database for Annotation, Visualization, and Integrated Discovery online tool...
November 2016: Oncology Letters
https://www.readbyqxmd.com/read/27896993/frequent-subgraph-mining-of-personalized-signaling-pathway-networks-groups-patients-with-frequently-dysregulated-disease-pathways-and-predicts-prognosis
#9
Arda Durmaz, Tim A D Henderson, Douglas Brubaker, Gurkan Bebek
MOTIVATION: Large scale genomics studies have generated comprehensive molecular characterization of numerous cancer types. Subtypes for many tumor types have been established; however, these classifications are based on molecular characteristics of a small gene sets with limited power to detect dysregulation at the patient level. We hypothesize that frequent graph mining of pathways to gather pathways functionally relevant to tumors can characterize tumor types and provide opportunities for personalized therapies...
2016: Pacific Symposium on Biocomputing
https://www.readbyqxmd.com/read/27895742/comparative-analysis-of-gene-expression-profiles-of-gastric-cardia-adenocarcinoma-and-gastric-non-cardia-adenocarcinoma
#10
Bin Song, Juan Du, Neng Deng, Ji-Chen Ren, Zhen-Bo Shu
In the present study, gene expression profiles were analyzed to identify the molecular mechanisms underlying gastric cardia adenocarcinoma (GCA) and gastric non-cardia adenocarcinoma (GNCA). A gene expression dataset (accession number GSE29272) was downloaded from Gene Expression Omnibus, and consisted of 62 GCA samples and 62 normal controls, as well as 72 GNCA samples and 72 normal controls. The two groups of differentially-expressed genes (DEGs) were compared to obtain common and unique DEGs. A differential analysis was performed using the Linear Models for Microarray Data package in R...
November 2016: Oncology Letters
https://www.readbyqxmd.com/read/27895661/the-genome-conformation-as-an-integrator-of-multi-omic-data-the-example-of-damage-spreading-in-cancer
#11
Fabio Tordini, Marco Aldinucci, Luciano Milanesi, Pietro Liò, Ivan Merelli
Publicly available multi-omic databases, in particular if associated with medical annotations, are rich resources with the potential to lead a rapid transition from high-throughput molecular biology experiments to better clinical outcomes for patients. In this work, we propose a model for multi-omic data integration (i.e., genetic variations, gene expression, genome conformation, and epigenetic patterns), which exploits a multi-layer network approach to analyse, visualize, and obtain insights from such biological information, in order to use achieved results at a macroscopic level...
2016: Frontiers in Genetics
https://www.readbyqxmd.com/read/27894849/a-global-view-of-regulatory-networks-in-lung-cancer-an-approach-to-understand-homogeneity-and-heterogeneity
#12
REVIEW
Jiapei Lu, William Wang, Menglin Xu, Yuping Li, Chengshui Chen, Xiangdong Wang
A number of new biotechnologies are used to identify potential biomarkers for the early detection of lung cancer, enabling a personalized therapy to be developed in response. The combinatorial cross-regulation of hundreds of biological function-specific transcription factors (TFs) is defined as the understanding of regulatory networks of molecules within the cell. Here we integrated global databases with 537 patients with lung adenocarcinoma (ADC), 140 with lung squamous carcinoma (SCC), 9 with lung large-cell carcinoma (LCC), 56 with small-cell lung cancer (SCLC), and 590 without cancer with the understanding of TF functions...
November 25, 2016: Seminars in Cancer Biology
https://www.readbyqxmd.com/read/27894104/proteomic-profiling-of-nci-60-extracellular-vesicles-uncovers-common-protein-cargo-and-cancer-type-specific-biomarkers
#13
Stephanie N Hurwitz, Mark A Rider, Joseph L Bundy, Xia Liu, Rakesh K Singh, David G Meckes
Packed with biological information, extracellular vesicles (EVs) offer exciting promise for biomarker discovery and applications in therapeutics and non-invasive diagnostics. Currently, our understanding of EV contents is confined by the limited cells from which vesicles have been characterized utilizing the same enrichment method. Using sixty cell lines from the National Cancer Institute (NCI-60), here we provide the largest proteomic profile of EVs in a single study, identifying 6,071 proteins with 213 common to all isolates...
November 24, 2016: Oncotarget
https://www.readbyqxmd.com/read/27892958/a-scored-human-protein-protein-interaction-network-to-catalyze-genomic-interpretation
#14
Taibo Li, Rasmus Wernersson, Rasmus B Hansen, Heiko Horn, Johnathan Mercer, Greg Slodkowicz, Christopher T Workman, Olga Rigina, Kristoffer Rapacki, Hans H Stærfeldt, Søren Brunak, Thomas S Jensen, Kasper Lage
Genome-scale human protein-protein interaction networks are critical to understanding cell biology and interpreting genomic data, but challenging to produce experimentally. Through data integration and quality control, we provide a scored human protein-protein interaction network (InWeb_InBioMap, or InWeb_IM) with severalfold more interactions (>500,000) and better functional biological relevance than comparable resources. We illustrate that InWeb_InBioMap enables functional interpretation of >4,700 cancer genomes and genes involved in autism...
November 28, 2016: Nature Methods
https://www.readbyqxmd.com/read/27881070/pregnancy-specific-%C3%AE-1-glycoproteins-combined-biomarker-roles-structure-function-relationships-and-implications-for-drug-design
#15
Nurbubu T Moldogazieva, Innokenty M Mokhosoev, Alexander A Terentiev
BACKGROUND: Pregnancy specific β1-glycoproteins (PSGs) have long been recognized as trophoblast quality and embryo viability markers. However, biological roles of PSGs remain obscure, and structure/function relationships to other feto-placental proteins as well as implications for drug design have not been reviewed. This review summarizes and discusses advances in 45-year studies of PSGs with focus on the latest achievements and the challenges for future investigations. METHODS: Literature search was performed to review the majority of recent PSG studies with emphasis on usage of high-throughput integrated proteomic profiling technologies, systems biology and bioinformatics approaches that enhance novel biomarker and drug target discovery as well as protein structure/activity analysis...
November 22, 2016: Current Medicinal Chemistry
https://www.readbyqxmd.com/read/27881001/pathway-crosstalk-analysis-in-prostate-cancer-based-on-protein-protein-network-data
#16
H Y Li, N Jin, Y P Han, X F Jin
Prostate cancer (PCa) is one of the major leading cause in men and no effective biomarkers or therapy have been approved for it to date. This study aimed to explore the molecular mechanisms and identify the potential molecular biomarkers of PCa. The microarray profile GSE38241 including 18 prostate cancer metastasis and 21 normal prostate samples was retrieved from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were identified by Limma. DEGs functions were investigated by Gene Ontology (GO) and pathway enrichment analysis...
November 24, 2016: Neoplasma
https://www.readbyqxmd.com/read/27879476/interactive-cooperation-and-hierarchical-operation-of-microrna-and-transcription-factor-crosstalk-in-human-transcriptional-regulatory-network
#17
Esra Gov, Kazim Yalcin Arga
Transcriptional regulation of gene expression is an essential cellular process that is arranged by transcription factors (TFs), microRNAs (miRNA) and their target genes through a variety of mechanisms. Here, we set out to reconstruct a comprehensive transcriptional regulatory network of Homo sapiens consisting of experimentally verified regulatory information on miRNAs, TFs and their target genes. We have performed topological analyses to elucidate the transcriptional regulatory roles of miRNAs and TFs. When we thoroughly investigated the network motifs, different gene regulatory scenarios were observed; whereas, mutual TF-miRNA regulation (interactive cooperation) and hierarchical operation where miRNAs were the upstream regulators of TFs came into prominence...
December 2016: IET Systems Biology
https://www.readbyqxmd.com/read/27879396/integrating-network-reconstruction-with-mechanistic-modeling-to-predict-cancer-therapies
#18
Melinda Halasz, Boris N Kholodenko, Walter Kolch, Tapesh Santra
Signal transduction networks are often rewired in cancer cells. Identifying these alterations will enable more effective cancer treatment. We developed a computational framework that can identify, reconstruct, and mechanistically model these rewired networks from noisy and incomplete perturbation response data and then predict potential targets for intervention. As a proof of principle, we analyzed a perturbation data set targeting epidermal growth factor receptor (EGFR) and insulin-like growth factor 1 receptor (IGF1R) pathways in a panel of colorectal cancer cells...
November 22, 2016: Science Signaling
https://www.readbyqxmd.com/read/27878450/mass-spectrometry-based-proteomics-profiling-of-human-monocytes
#19
Yong Zeng, Fei-Yan Deng, Wei Zhu, Lan Zhang, Hao He, Chao Xu, Qing Tian, Ji-Gang Zhang, Li-Shu Zhang, Hong-Gang Hu, Hong-Wen Deng
Human monocyte is an important cell type which is involved in various complex human diseases. To better understand the biology of human monocytes and facilitate further studies, we developed the first comprehensive proteome knowledge base specifically for human monocytes by integrating both in vivo and in vitro datasets. The top 2000 expressed genes from in vitro datasets and 779 genes from in vivo experiments were integrated into this study. Altogether, a total of 2237 unique monocyte-expressed genes were cataloged...
November 22, 2016: Protein & Cell
https://www.readbyqxmd.com/read/27864353/identification-of-clinically-predictive-metagenes-that-encode-components-of-a-network-coupling-cell-shape-to-transcription-by-image-omics
#20
Heba Z Sailem, Chris Bakal
The associations between clinical phenotypes (tumour grade, survival), and cell phenotypes, such as shape, signalling activity, and gene expression, are the basis for cancer pathology; but the mechanisms explaining these relationships are not always clear. The generation of large datasets containing information regarding cell phenotypes, and clinical data, provides an opportunity to describe these mechanisms. Here we develop an image-omics approach to integrate quantitative cell imaging data, gene expression, and protein-protein interaction data to systematically describe a 'shape-gene network' that couples specific aspects of breast cancer cell shape to signalling and transcriptional events...
November 18, 2016: Genome Research
keyword
keyword
61594
1
2
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"