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https://www.readbyqxmd.com/read/28821015/extracting-replicable-associations-across-multiple-studies-empirical-bayes-algorithms-for-controlling-the-false-discovery-rate
#1
David Amar, Ron Shamir, Daniel Yekutieli
In almost every field in genomics, large-scale biomedical datasets are used to report associations. Extracting associations that recur across multiple studies while controlling the false discovery rate is a fundamental challenge. Here, we propose a new method to allow joint analysis of multiple studies. Given a set of p-values obtained from each study, the goal is to identify associations that recur in at least k > 1 studies while controlling the false discovery rate. We propose several new algorithms that differ in how the study dependencies are modeled, and compare them and extant methods under various simulated scenarios...
August 18, 2017: PLoS Computational Biology
https://www.readbyqxmd.com/read/28820917/whole-exome-sequencing-of-lacrimal-gland-adenoid-cystic-carcinoma
#2
David W Sant, Wensi Tao, Matthew G Field, Daniel Pelaez, Ke Jin, Anthony Capobianco, Sander R Dubovy, David T Tse, Gaofeng Wang
Purpose: To identify genomic mutations in lacrimal gland adenoid cystic carcinoma (LGACC) samples from patients. Methods: Genomic DNA was extracted from LGACC specimens. Whole exome sequencing (exome-seq) was conducted to screen for mutations. Capillary sequencing was performed to verify mutations in genes shared by multiple samples. Luciferase assays were used to evaluate functional consequences of NOTCH1 mutations. Results: The mutation profile of LGACC was complicated...
May 1, 2017: Investigative Ophthalmology & Visual Science
https://www.readbyqxmd.com/read/28820495/human-papillomavirus-and-the-dna-damage-response-exploiting-host-repair-pathways-for-viral-replication
#3
REVIEW
Chelsey C Spriggs, Laimonis A Laimins
High-risk human papillomaviruses (HPVs) are the causative agents of cervical and other genital cancers. In addition, HPV infections are associated with the development of many oropharyngeal cancers. HPVs activate and repress a number of host cellular pathways to promote their viral life cycles, including those of the DNA damage response. High-risk HPVs activate the ataxia telangiectasia-mutated (ATM) and ATM and Rad3-related (ATR) DNA damage repair pathways, which are essential for viral replication (particularly differentiation-dependent genome amplification)...
August 18, 2017: Viruses
https://www.readbyqxmd.com/read/28820292/p53-binding-sites-in-normal-and-cancer-cells-are-characterized-by-distinct-chromatin-context
#4
Feifei Bao, Peter R LoVerso, Jeffrey N Fisk, Victor B Zhurkin, Feng Cui
The tumor suppressor protein p53 interacts with DNA in a sequence-dependent manner. Thousands of p53 binding sites have been mapped genome-wide in normal and cancer cells. However, the way p53 selectively binds its cognate sites in different types of cells is not fully understood. Here, we performed a comprehensive analysis of 25 published p53 cistromes and identified 3,551 and 6,039 'high-confidence' binding sites in normal and cancer cells, respectively. Our analysis revealed two distinct epigenetic features underlying p53-DNA interactions in vivo...
August 18, 2017: Cell Cycle
https://www.readbyqxmd.com/read/28819847/negative-enrichment-and-isolation-of-circulating-tumor-cells-for-whole-genome-amplification
#5
Nisha Kanwar, Susan J Done
Circulating tumor cells (CTCs) are a rare population of cells found in the peripheral blood of patients with many types of cancer such as breast, prostate, colon, and lung cancers. Higher numbers of these cells in blood are associated with a poorer prognosis of patients. Genomic profiling of CTCs would help characterize markers specific for the identification of these cells in blood, and also define genomic alterations that give these cells a metastatic advantage over other cells in the primary tumor. Here, we describe an immunomagnetic method to enrich CTCs from the blood of patients with breast cancer, followed by single-cell laser capture microdissection to isolate single CTCs...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/28819830/identification-and-characterization-of-tyrosine-kinases-in-anole-lizard-indicate-the-conserved-tyrosine-kinase-repertoire-in-vertebrates
#6
Ake Liu, Funan He, Xun Gu
The tyrosine kinases (TKs) play principal roles in regulation of multicellular aspects of the organism and are implicated in many cancer types and congenital disorders. The anole lizard has recently been introduced as a model organism for laboratory-based studies of organismal function and field studies of ecology and evolution. However, the TK family of anole lizard has not been systematically identified and characterized yet. In this study, we identified 82 TK-encoding genes in the anole lizard genome and classified them into 28 subfamilies through phylogenetic analysis, with no member from ROS and STYK1 subfamilies identified...
August 17, 2017: Molecular Genetics and Genomics: MGG
https://www.readbyqxmd.com/read/28819565/genomic-and-immune-heterogeneity-are-associated-with-differential-responses-to-therapy-in-melanoma
#7
Alexandre Reuben, Christine N Spencer, Peter A Prieto, Vancheswaran Gopalakrishnan, Sangeetha M Reddy, John P Miller, Xizeng Mao, Mariana Petaccia De Macedo, Jiong Chen, Xingzhi Song, Hong Jiang, Pei-Ling Chen, Hannah C Beird, Haven R Garber, Whijae Roh, Khalida Wani, Eveline Chen, Cara Haymaker, Marie-Andrée Forget, Latasha D Little, Curtis Gumbs, Rebecca L Thornton, Courtney W Hudgens, Wei-Shen Chen, Jacob Austin-Breneman, Robert Szczepaniak Sloane, Luigi Nezi, Alexandria P Cogdill, Chantale Bernatchez, Jason Roszik, Patrick Hwu, Scott E Woodman, Lynda Chin, Hussein Tawbi, Michael A Davies, Jeffrey E Gershenwald, Rodabe N Amaria, Isabella C Glitza, Adi Diab, Sapna P Patel, Jianhua Hu, Jeffrey E Lee, Elizabeth A Grimm, Michael T Tetzlaff, Alexander J Lazar, Ignacio I Wistuba, Karen Clise-Dwyer, Brett W Carter, Jianhua Zhang, P Andrew Futreal, Padmanee Sharma, James P Allison, Zachary A Cooper, Jennifer A Wargo
Appreciation for genomic and immune heterogeneity in cancer has grown though the relationship of these factors to treatment response has not been thoroughly elucidated. To better understand this, we studied a large cohort of melanoma patients treated with targeted therapy or immune checkpoint blockade (n = 60). Heterogeneity in therapeutic responses via radiologic assessment was observed in the majority of patients. Synchronous melanoma metastases were analyzed via deep genomic and immune profiling, and revealed substantial genomic and immune heterogeneity in all patients studied, with considerable diversity in T cell frequency, and few shared T cell clones (<8% on average) across the cohort...
2017: NPJ Genomic Medicine
https://www.readbyqxmd.com/read/28819401/identification-and-validation-of-soluble-carrier-family-expression-signature-for-predicting-poor-outcome-of-renal-cell-carcinoma
#8
Wan Fangning, Ma Chunguang, Zhang Hailiang, Shi Guohai, Zhu Yao, Dai Bo, Shen Yijun, Zhu Yiping, Ye Dingwei
The soluble carrier (SLC) family plays an important role in cell metabolism. The purpose of the current study was to screen SLCs as potential prognostic factors in clear cell renal cell carcinoma (ccRCC). A total of 509 patients with ccRCC from The Cancer Genome Atlas (TCGA) cohort were enrolled in this study. The expression profile of SLCs was obtained from the TCGA RNAseq database. Metadata of the TCGA cohort, including age, sex, TNM stage, tumor grade, American Joint Committee on Cancer stage, laterality, and overall survival, were collected...
2017: Journal of Cancer
https://www.readbyqxmd.com/read/28819308/an-optimal-mean-based-block-robust-feature-extraction-method-to-identify-colorectal-cancer-genes-with-integrated-data
#9
Jian Liu, Yuhu Cheng, Xuesong Wang, Lin Zhang, Hui Liu
It is urgent to diagnose colorectal cancer in the early stage. Some feature genes which are important to colorectal cancer development have been identified. However, for the early stage of colorectal cancer, less is known about the identity of specific cancer genes that are associated with advanced clinical stage. In this paper, we conducted a feature extraction method named Optimal Mean based Block Robust Feature Extraction method (OMBRFE) to identify feature genes associated with advanced colorectal cancer in clinical stage by using the integrated colorectal cancer data...
August 17, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28819235/expression-of-long-non-coding-rna-mfi2-as1-is-a-strong-predictor-of-recurrence-in-sporadic-localized-clear-cell-renal-cell-carcinoma
#10
Ronan Flippot, Roger Mouawad, Jean-Philippe Spano, Morgan Rouprêt, Eva Compérat, Marc-Olivier Bitker, Jérôme Parra, Christophe Vaessen, Frederick Allanic, Quentin Manach, Nizar M Tannir, David Khayat, Xiaoping Su, Gabriel G Malouf
Prediction of recurrence is a challenge for the development of adjuvant treatments in clear-cell renal cell carcinoma (ccRCC). In these tumors, expression of long non-coding RNAs (lncRNAs) are deregulated and closely associated with prognosis. Thus, we aimed to predict ccRCC recurrence risk using lncRNA expression. We identified prognostic lncRNAs in a training set of 351 localized ccRCCs from The Cancer Genome Atlas and validated lncRNA-based recurrence classification in an independent cohort of 167 localized ccRCCs...
August 17, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28819158/discovering-condition-specific-gene-co-expression-patterns-using-gaussian-mixture-models-a-cancer-case-study
#11
Stephen P Ficklin, Leland J Dunwoodie, William L Poehlman, Christopher Watson, Kimberly E Roche, F Alex Feltus
A gene co-expression network (GCN) describes associations between genes and points to genetic coordination of biochemical pathways. However, genetic correlations in a GCN are only detectable if they are present in the sampled conditions. With the increasing quantity of gene expression samples available in public repositories, there is greater potential for discovery of genetic correlations from a variety of biologically interesting conditions. However, even if gene correlations are present, their discovery can be masked by noise...
August 17, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28819152/dissecting-the-genomic-activity-of-a-transcriptional-regulator-by-the-integrative-analysis-of-omics-data
#12
Giulio Ferrero, Valentina Miano, Marco Beccuti, Gianfranco Balbo, Michele De Bortoli, Francesca Cordero
In the study of genomic regulation, strategies to integrate the data produced by Next Generation Sequencing (NGS)-based technologies in a meaningful ensemble are eagerly awaited and must continuously evolve. Here, we describe an integrative strategy for the analysis of data generated by chromatin immunoprecipitation followed by NGS which combines algorithms for data overlap, normalization and epigenetic state analysis. The performance of our strategy is illustrated by presenting the analysis of data relative to the transcriptional regulator Estrogen Receptor alpha (ERα) in MCF-7 breast cancer cells and of Glucocorticoid Receptor (GR) in A549 lung cancer cells...
August 17, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28819029/loss-of-the-tumor-suppressor-stag2-promotes-telomere-recombination-and-extends-the-replicative-lifespan-of-normal-human-cells
#13
Zharko Daniloski, Susan Smith
Sister chromatids are held together by cohesin, a tripartite ring with a peripheral SA1/2 subunit, where SA1 is required for telomere cohesion and SA2 for centromere cohesion. The STAG2 gene encoding SA2 is often inactivated in human cancer, but not in in a manner associated with aneuploidy. Thus, how these tumors maintain chromosomal cohesion and how STAG2 loss contributes to tumorigenesis remain open questions. Here we show that, despite a loss in centromere cohesion, sister chromatids in STAG2 mutant tumor cells maintain cohesion in mitosis at chromosome arms and telomeres...
August 17, 2017: Cancer Research
https://www.readbyqxmd.com/read/28819025/mre11-promotes-tumorigenesis-by-facilitating-resistance-to-oncogene-induced-replication-stress
#14
Elizabeth Spehalski, Kayla M Capper, Cheryl J Smith, Mary J Morgan, Maria Dinkelmann, Jeffrey Buis, JoAnn M Sekiguchi, David O Ferguson
Hypomorphic mutations in the genes encoding the MRE11/RAD50/NBS1 (MRN) DNA repair complex lead to cancer-prone syndromes. MRN binds DNA double strand breaks where it functions in repair and triggers cell cycle checkpoints via activation of the ataxia-telangiectasia mutated (ATM) kinase. To gain understanding of MRN in cancer, we engineered mice with B lymphocytes lacking MRN, or harboring MRN in which MRE11 lacks nuclease activities. Both forms of MRN deficiency led to hallmarks of cancer, including oncogenic translocations involving c-Myc and the immunoglobulin locus...
August 17, 2017: Cancer Research
https://www.readbyqxmd.com/read/28818973/mutations-in-the-promoter-of-the-telomerase-gene-tert-contribute-to-tumorigenesis-by-a-two-step-mechanism
#15
Kunitoshi Chiba, Franziska K Lorbeer, A Hunter Shain, David T McSwiggen, Eva Schruf, Areum Oh, Jekwan Ryu, Xavier Darzacq, Boris C Bastian, Dirk Hockemeyer
TERT promoter mutations (TPMs) are the most common non-coding mutations in cancer. The timing and consequences of TPMs have not been fully established. Here we show that TPMs acquired at the transition from benign nevus to malignant melanoma do not support telomere maintenance. In vitro experiments revealed that TPMs do not prevent telomere attrition, resulting in cells with critically short and unprotected telomeres. Immortalization by TPMs requires a gradual upregulation of telomerase, coinciding with telomere fusions...
August 17, 2017: Science
https://www.readbyqxmd.com/read/28818916/a-pathology-atlas-of-the-human-cancer-transcriptome
#16
Mathias Uhlen, Cheng Zhang, Sunjae Lee, Evelina Sjöstedt, Linn Fagerberg, Gholamreza Bidkhori, Rui Benfeitas, Muhammad Arif, Zhengtao Liu, Fredrik Edfors, Kemal Sanli, Kalle von Feilitzen, Per Oksvold, Emma Lundberg, Sophia Hober, Peter Nilsson, Johanna Mattsson, Jochen M Schwenk, Hans Brunnström, Bengt Glimelius, Tobias Sjöblom, Per-Henrik Edqvist, Dijana Djureinovic, Patrick Micke, Cecilia Lindskog, Adil Mardinoglu, Fredrik Ponten
Cancer is one of the leading causes of death, and there is great interest in understanding the underlying molecular mechanisms involved in the pathogenesis and progression of individual tumors. We used systems-level approaches to analyze the genome-wide transcriptome of the protein-coding genes of 17 major cancer types with respect to clinical outcome. A general pattern emerged: Shorter patient survival was associated with up-regulation of genes involved in cell growth and with down-regulation of genes involved in cellular differentiation...
August 18, 2017: Science
https://www.readbyqxmd.com/read/28818432/single-color-digital-pcr-provides-high-performance-detection-of-cancer-mutations-from-circulating-dna
#17
Christina Wood-Bouwens, Billy T Lau, Christine M Handy, HoJoon Lee, Hanlee P Ji
We describe a single-color digital PCR assay that detects and quantifies cancer mutations directly from circulating DNA collected from the plasma of cancer patients. This approach relies on a double-stranded DNA intercalator dye and paired allele-specific DNA primer sets to determine an absolute count of both the mutation and wild-type-bearing DNA molecules present in the sample. The cell-free DNA assay uses an input of 1 ng of nonamplified DNA, approximately 300 genome equivalents, and has a molecular limit of detection of three mutation DNA genome-equivalent molecules per assay reaction...
August 11, 2017: Journal of Molecular Diagnostics: JMD
https://www.readbyqxmd.com/read/28817982/current-challenges-in-optimizing-systemic-therapy-for-patients-with-pancreatic-cancer-expert-perspectives-from-the-australian-gastrointestinal-trials-group-with-invited-international-faculty
#18
Eva Segelov, Florian Lordick, David Goldstein, Lorraine A Chantrill, Daniel Croagh, Ben Lawrence, Dirk Arnold, Ian Chau, Radka Obermannova, Timothy Jay Price
Despite recent progress, the outlook for most patients with pancreatic cancer remains poor. There is variation in how patients are managed globally due to differing interpretations of the evidence, partly because studies in this disease are challenging to undertake. This article collates the evidence upon which current best practice is based and offers an expert opinion from an international faculty on how latest developments should influence current treatment paradigms. Areas covered: Optimal chemotherapy for first and subsequent lines of therapy; optimal management of locally advanced, non-metastatic cancer including the role of neoadjuvant chemo(radio)therapy, current evidence for adjuvant chemotherapy, major advances in pancreatic cancer genomics and challenges in supportive care particularly relevant to patients with pancreatic cancer...
August 18, 2017: Expert Review of Anticancer Therapy
https://www.readbyqxmd.com/read/28817824/parametric-linkage-analysis-identifies-five-novel-genome-wide-significant-loci-for-familial-lung-cancer
#19
Anthony M Musolf, Claire L Simpson, Mariza de Andrade, Diptasri Mandal, Colette Gaba, Ping Yang, Yafang Li, Ming You, Elena Y Kupert, Marshall W Anderson, Ann G Schwartz, Susan M Pinney, Christopher I Amos, Joan E Bailey-Wilson
OBJECTIVE: One of four American cancer patients dies of lung cancer. Environmental factors such as tobacco smoking are known to affect lung cancer risk. However, there is a genetic factor to lung cancer risk as well. Here, we perform parametric linkage analysis on family-based genotype data in an effort to find genetic loci linked to the disease. METHODS: 197 individuals from families with a high-risk history of lung cancer were recruited and genotyped using an Illumina array...
August 18, 2017: Human Heredity
https://www.readbyqxmd.com/read/28817636/uncovering-robust-patterns-of-microrna-co-expression-across-cancers-using-bayesian-relevance-networks
#20
Parameswaran Ramachandran, Daniel Sánchez-Taltavull, Theodore J Perkins
Co-expression networks have long been used as a tool for investigating the molecular circuitry governing biological systems. However, most algorithms for constructing co-expression networks were developed in the microarray era, before high-throughput sequencing-with its unique statistical properties-became the norm for expression measurement. Here we develop Bayesian Relevance Networks, an algorithm that uses Bayesian reasoning about expression levels to account for the differing levels of uncertainty in expression measurements between highly- and lowly-expressed entities, and between samples with different sequencing depths...
2017: PloS One
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