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Integrative genomics cancer

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https://www.readbyqxmd.com/read/27911271/immunoglobulin-superfamily-genes-are-novel-prognostic-biomarkers-for-breast-cancer
#1
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/27910033/cytogenetic-resources-and-information
#2
Etienne De Braekeleer, Jean-Loup Huret, Hossain Mossafa, Philippe Dessen
The main databases devoted stricto sensu to cancer cytogenetics are the "Mitelman Database of Chromosome Aberrations and Gene Fusions in Cancer" ( http://cgap.nci.nih.gov/Chromosomes/Mitelman ), the "Atlas of Genetics and Cytogenetics in Oncology and Haematology" ( http://atlasgeneticsoncology.org ), and COSMIC ( http://cancer.sanger.ac.uk/cosmic ).However, being a complex multistep process, cancer cytogenetics are broadened to "cytogenomics," with complementary resources on: general databases (nucleic acid and protein sequences databases; cartography browsers: GenBank, RefSeq, UCSC, Ensembl, UniProtKB, and Entrez Gene), cancer genomic portals associated with recent international integrated programs, such as TCGA or ICGC, other fusion genes databases, array CGH databases, copy number variation databases, and mutation databases...
2017: Methods in Molecular Biology
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/27906459/integrative-genomic-analysis-identifies-ancestry-related-expression-quantitative-trait-loci-on-dna-polymerase-%C3%AE-and-supports-the-association-of-genetic-ancestry-with-survival-disparities-in-head-and-neck-squamous-cell-carcinoma
#4
Meganathan P Ramakodi, Karthik Devarajan, Elizabeth Blackman, Denise Gibbs, Danièle Luce, Jacqueline Deloumeaux, Suzy Duflo, Jeffrey C Liu, Ranee Mehra, Rob J Kulathinal, Camille C Ragin
BACKGROUND: African Americans with head and neck squamous cell carcinoma (HNSCC) have a lower survival rate than whites. This study investigated the functional importance of ancestry-informative single-nucleotide polymorphisms (SNPs) in HNSCC and also examined the effect of functionally important genetic elements on racial disparities in HNSCC survival. METHODS: Ancestry-informative SNPs, RNA sequencing, methylation, and copy number variation data for 316 oral cavity and laryngeal cancer patients were analyzed across 178 DNA repair genes...
December 1, 2016: Cancer
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
#5
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/27901069/molecular-profiling-of-circulating-tumour-cells-identifies-notch1-as-a-principal-regulator-in-advanced-non-small-cell-lung-cancer
#6
Javier Mariscal, Marta Alonso-Nocelo, Laura Muinelo-Romay, Jorge Barbazan, Maria Vieito, Alicia Abalo, Antonio Gomez-Tato, Casares de Cal Maria de Los Angeles, Tomas Garcia-Caballero, Carmela Rodriguez, Elena Brozos, Francisco Baron, Rafael Lopez-Lopez, Miguel Abal
Knowledge on the molecular mechanisms underlying metastasis colonization in Non-Small Cell Lung Cancer (NSCLC) remains incomplete. A complete overview integrating driver mutations, primary tumour heterogeneity and overt metastasis lacks the dynamic contribution of disseminating metastatic cells due to the inaccessibility to the molecular profiling of Circulating Tumour Cells (CTCs). By combining immunoisolation and whole genome amplification, we performed a global gene expression analysis of EpCAM positive CTCs from advanced NSCLC patients...
November 30, 2016: Scientific Reports
https://www.readbyqxmd.com/read/27900363/integration-of-genomics-and-histology-revises-diagnosis-and-enables-effective-therapy-of-refractory-cancer-of-unknown-primary-with-pdl1-amplification
#7
Stefan Gröschel, Martin Bommer, Barbara Hutter, Jan Budczies, David Bonekamp, Christoph Heining, Peter Horak, Martina Fröhlich, Sebastian Uhrig, Daniel Hübschmann, Christina Geörg, Daniela Richter, Nicole Pfarr, Katrin Pfütze, Stephan Wolf, Peter Schirmacher, Dirk Jäger, Christof von Kalle, Benedikt Brors, Hanno Glimm, Wilko Weichert, Albrecht Stenzinger, Stefan Fröhling
Identification of the tissue of origin in cancer of unknown primary (CUP) poses a diagnostic challenge and is critical for directing site-specific therapy. Currently, clinical decision-making in patients with CUP primarily relies on histopathology and clinical features. Comprehensive molecular profiling has the potential to contribute to diagnostic categorization and, most importantly, guide CUP therapy through identification of actionable lesions. We here report the case of an advanced-stage malignancy initially mimicking poorly differentiated soft-tissue sarcoma that did not respond to multiagent chemotherapy...
November 2016: Cold Spring Harbor Molecular Case Studies
https://www.readbyqxmd.com/read/27899656/idp-ase-haplotyping-and-quantifying-allele-specific-expression-at-the-gene-and-gene-isoform-level-by-hybrid-sequencing
#8
Benjamin Deonovic, Yunhao Wang, Jason Weirather, Xiu-Jie Wang, Kin Fai Au
Allele-specific expression (ASE) is a fundamental problem in studying gene regulation and diploid transcriptome profiles, with two key challenges: (i) haplotyping and (ii) estimation of ASE at the gene isoform level. Existing ASE analysis methods are limited by a dependence on haplotyping from laborious experiments or extra genome/family trio data. In addition, there is a lack of methods for gene isoform level ASE analysis. We developed a tool, IDP-ASE, for full ASE analysis. By innovative integration of Third Generation Sequencing (TGS) long reads with Second Generation Sequencing (SGS) short reads, the accuracy of haplotyping and ASE quantification at the gene and gene isoform level was greatly improved as demonstrated by the gold standard data GM12878 data and semi-simulation data...
November 28, 2016: Nucleic Acids Research
https://www.readbyqxmd.com/read/27897201/long-intergenic-non-coding-rna-expression-signature-in-human-breast-cancer
#9
Yanfeng Zhang, Erin K Wagner, Xingyi Guo, Isaac May, Qiuyin Cai, Wei Zheng, Chunyan He, Jirong Long
Breast cancer is a complex disease, characterized by gene deregulation. There is less systematic investigation of the capacity of long intergenic non-coding RNAs (lincRNAs) as biomarkers associated with breast cancer pathogenesis or several clinicopathological variables including receptor status and patient survival. We designed a two-stage study, including 1,000 breast tumor RNA-seq data from The Cancer Genome Atlas (TCGA) as the discovery stage, and RNA-seq data of matched tumor and adjacent normal tissue from 50 breast cancer patients as well as 23 normal breast tissue from healthy women as the replication stage...
November 29, 2016: Scientific Reports
https://www.readbyqxmd.com/read/27897002/a-methylation-to-expression-feature-model-for-generating-accurate-prognostic-risk-scores-and-identifying-disease-targets-in-clear-cell-kidney-cancer
#10
Jeffrey A Thompson, Carmen J Marsit
Many researchers now have available multiple high-dimensional molecular and clinical datasets when studying a disease. As we enter this multi-omic era of data analysis, new approaches that combine different levels of data (e.g. at the genomic and epigenomic levels) are required to fully capitalize on this opportunity. In this work, we outline a new approach to multi-omic data integration, which combines molecular and clinical predictors as part of a single analysis to create a prognostic risk score for clear cell renal cell carcinoma...
2016: Pacific Symposium on Biocomputing
https://www.readbyqxmd.com/read/27896993/frequent-subgraph-mining-of-personalized-signaling-pathway-networks-groups-patients-with-frequently-dysregulated-disease-pathways-and-predicts-prognosis
#11
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/27896964/integrative-analysis-for-lung-adenocarcinoma-predicts-morphological-features-associated-with-genetic-variations
#12
Chao Wang, Hai Su, Lin Yang, Kun Huang
Lung cancer is one of the most deadly cancers and lung adenocarcinoma (LUAD) is the most common histological type of lung cancer. However, LUAD is highly heterogeneous due to genetic difference as well as phenotypic differences such as cellular and tissue morphology. In this paper, we systematically examine the relationships between histological features and gene transcription. Specifically, we calculated 283 morphological features from histology images for 201 LUAD patients from TCGA project and identified the morphological feature with strong correlation with patient outcome...
2016: Pacific Symposium on Biocomputing
https://www.readbyqxmd.com/read/27895917/validation-of-biomarkers-to-predict-response-to-immunotherapy-in-cancer-volume-i-pre-analytical-and-analytical-validation
#13
REVIEW
Giuseppe V Masucci, Alessandra Cesano, Rachael Hawtin, Sylvia Janetzki, Jenny Zhang, Ilan Kirsch, Kevin K Dobbin, John Alvarez, Paul B Robbins, Senthamil R Selvan, Howard Z Streicher, Lisa H Butterfield, Magdalena Thurin
Immunotherapies have emerged as one of the most promising approaches to treat patients with cancer. Recently, there have been many clinical successes using checkpoint receptor blockade, including T cell inhibitory receptors such as cytotoxic T-lymphocyte-associated antigen 4 (CTLA-4) and programmed cell death-1 (PD-1). Despite demonstrated successes in a variety of malignancies, responses only typically occur in a minority of patients in any given histology. Additionally, treatment is associated with inflammatory toxicity and high cost...
2016: Journal for Immunotherapy of Cancer
https://www.readbyqxmd.com/read/27895661/the-genome-conformation-as-an-integrator-of-multi-omic-data-the-example-of-damage-spreading-in-cancer
#14
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/27893709/identification-of-myst3-as-a-novel-epigenetic-activator-of-er%C3%AE-frequently-amplified-in-breast-cancer
#15
L Yu, Y Liang, X Cao, X Wang, H Gao, S-Y Lin, R Schiff, X-S Wang, K Li
Estrogen receptor α (ERα) is a master driver of a vast majority of breast cancers. Breast cancer cells often develop resistance to endocrine therapy via restoration of the ERα activity through survival pathways. Thus identifying the epigenetic activator of ERα that can be targeted to block ERα gene expression is a critical topic of endocrine therapy. Here, integrative genomic analysis identified MYST3 as a potential oncogene target that is frequently amplified in breast cancer. MYST3 is involved in histone acetylation via its histone acetyltransferase domain (HAT) and, as a result, activates gene expression by altering chromatin structure...
November 28, 2016: Oncogene
https://www.readbyqxmd.com/read/27892958/a-scored-human-protein-protein-interaction-network-to-catalyze-genomic-interpretation
#16
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/27887606/cancer-somatic-mutations-cluster-in-a-subset-of-regulatory-sites-predicted-from-the-encode-data
#17
Nisar A Shar, M S Vijayabaskar, David R Westhead
BACKGROUND: Transcriptional regulation of gene expression is essential for cellular differentiation and function, and defects in the process are associated with cancer. The ENCODE project has mapped potential regulatory sites across the complete genome in many cell types, and these regions have been shown to harbour many of the somatic mutations that occur in cancer cells, suggesting that their effects may drive cancer initiation and development. The ENCODE data suggests a very large number of regulatory sites, and methods are needed to identify those that are most relevant and to connect them to the genes that they control...
November 25, 2016: Molecular Cancer
https://www.readbyqxmd.com/read/27884161/hpv16-integration-probably-contributes-to-cervical-oncogenesis-through-interrupting-tumor-suppressor-genes-and-inducing-chromosome-instability
#18
Jun-Wei Zhao, Fang Fang, Yi Guo, Tai-Lin Zhu, Yun-Yun Yu, Fan-Fei Kong, Ling-Fei Han, Dong-Sheng Chen, Fang Li
BACKGROUND: The integration of human papilloma virus (HPV) into host genome is one of the critical steps that lead to the progression of precancerous lesion into cancer. However, the mechanisms and consequences of such integration events are poorly understood. This study aims to explore those questions by studying high risk HPV16 integration in women with cervical intraepithelial neoplasia (CIN) and cervical squamous cell carcinoma (SCC). METHODS: Specifically, HPV integration status of 13 HPV16-infected patients were investigated by ligation-mediated PCR (DIPS-PCR) followed by DNA sequencing...
November 25, 2016: Journal of Experimental & Clinical Cancer Research: CR
https://www.readbyqxmd.com/read/27883035/telomeres-are-elongated-in-older-individuals-in-a-hibernating-rodent-the-edible-dormouse-glis-glis
#19
Franz Hoelzl, Steve Smith, Jessica S Cornils, Denise Aydinonat, Claudia Bieber, Thomas Ruf
Telomere shortening is thought to be an important biomarker for life history traits such as lifespan and aging, and can be indicative of genome integrity, survival probability and the risk of cancer development. In humans and other animals, telomeres almost always shorten with age, with more rapid telomere attrition in short-lived species. Here, we show that in the edible dormouse (Glis glis) telomere length significantly increases from an age of 6 to an age of 9 years. While this finding could be due to higher survival of individuals with longer telomeres, we also found, using longitudinal measurements, a positive effect of age on the rate of telomere elongation within older individuals...
November 24, 2016: Scientific Reports
https://www.readbyqxmd.com/read/27882502/institutional-responsibility-and-the-flawed-genomic-biomarkers-at-duke-university-a-missed-opportunity-for-transparency-and-accountability
#20
David L DeMets, Thomas R Fleming, Gail Geller, David F Ransohoff
When there have been substantial failures by institutional leadership in their oversight responsibility to protect research integrity, the public should demand that these be recognized and addressed by the institution itself, or the funding bodies. This commentary discusses a case of research failures in developing genomic predictors for cancer risk assessment and treatment at a leading university. In its review of this case, the Office of Research Integrity, an agency within the US Department of Health and Human Services, focused their report entirely on one individual faculty member and made no comment on the institution's responsibility and its failure to provide adequate oversight and investigation...
November 23, 2016: Science and Engineering Ethics
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