keyword
MENU ▼
Read by QxMD icon Read
search

The cancer genome atlas

keyword
https://www.readbyqxmd.com/read/28822783/the-expression-induction-and-pharmacological-activity-of-cyp1a2-are-post-transcriptionally-regulated-by-microrna-hsa-mir-132-5p
#1
Yinting Chen, Linjuan Zeng, Yong Wang, William H Tolleson, Bridgett Knox, Si Chen, Zhen Ren, Lei Guo, Nan Mei, Feng Qian, Kaihong Huang, David Liu, Weida Tong, Dianke Yu, Baitang Ning
Cytochrome P450 1A2 (CYP1A2) is one of the most abundant and important drug metabolizing enzymes in human liver. However, little is known about the post-transcriptional regulation of CYP1A2, especially the mechanisms involving microRNAs (miRNAs). This study applied a systematic approach to investigate the post-transcriptional regulation of CYP1A2 by miRNAs. Candidate miRNAs targeting the 3'-untranslated region (3'-UTR) of CYP1A2 were screened in silico, resulting in the selection of sixty-two potential miRNAs for further analysis...
August 16, 2017: Biochemical Pharmacology
https://www.readbyqxmd.com/read/28819401/identification-and-validation-of-soluble-carrier-family-expression-signature-for-predicting-poor-outcome-of-renal-cell-carcinoma
#2
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/28819235/expression-of-long-non-coding-rna-mfi2-as1-is-a-strong-predictor-of-recurrence-in-sporadic-localized-clear-cell-renal-cell-carcinoma
#3
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
#4
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/28818916/a-pathology-atlas-of-the-human-cancer-transcriptome
#5
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/28817636/uncovering-robust-patterns-of-microrna-co-expression-across-cancers-using-bayesian-relevance-networks
#6
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
https://www.readbyqxmd.com/read/28814280/assisted-clustering-of-gene-expression-data-using-ancut
#7
Sebastian J Teran Hidalgo, Mengyun Wu, Shuangge Ma
BACKGROUND: In biomedical research, gene expression profiling studies have been extensively conducted. The analysis of gene expression data has led to a deeper understanding of human genetics as well as practically useful models. Clustering analysis has been a critical component of gene expression data analysis and can reveal the (previously unknown) interconnections among genes. With the high dimensionality of gene expression data, many of the existing clustering methods and results are not as satisfactory...
August 16, 2017: BMC Genomics
https://www.readbyqxmd.com/read/28811844/lsd1-dual-function-in-mediating-epigenetic-corruption-of-the-vitamin-d-signaling-in-prostate-cancer
#8
Sebastiano Battaglia, Ellen Karasik, Bryan Gillard, Jennifer Williams, Trisha Winchester, Michael T Moser, Dominic J Smiraglia, Barbara A Foster
BACKGROUND: Lysine-specific demethylase 1A (LSD1) is a key regulator of the androgen (AR) and estrogen receptors (ER), and LSD1 levels correlate with tumor aggressiveness. Here, we demonstrate that LSD1 regulates vitamin D receptor (VDR) activity and is a mediator of 1,25(OH)2-D3 (vitamin D) action in prostate cancer (PCa). METHODS: Athymic nude mice were xenografted with CWR22 cells and monitored weekly after testosterone pellet removal. Expression of LSD1 and VDR (IHC) were correlated with tumor growth using log-rank test...
2017: Clinical Epigenetics
https://www.readbyqxmd.com/read/28811834/high-risk-human-papilloma-viruses-hpvs-are-present-in-benign-prostate-tissues-before-development-of-hpv-associated-prostate-cancer
#9
Wendy K Glenn, Christopher C Ngan, Timothy G Amos, Richard J Edwards, Joshua Swift, Louise Lutze-Mann, Fei Shang, Noel J Whitaker, James S Lawson
BACKGROUND: Although high risk HPVs are associated with an increased risk of prostate cancer it is not known if they have a causal role. The purpose of this study is to investigate the potential role of human papilloma viruses (HPVs) in prostate cancer. The aims are (i) to investigate the presence and confirm the identity of high risk HPVs in benign prostate tissues prior to the development of HPV positive prostate cancer in the same patients, and (ii) to determine if HPVs are biologically active...
2017: Infectious Agents and Cancer
https://www.readbyqxmd.com/read/28811643/overexpressed-somatic-alleles-are-enriched-in-functional-elements-in-breast-cancer
#10
Paula Restrepo, Mercedeh Movassagh, Nawaf Alomran, Christian Miller, Muzi Li, Chris Trenkov, Yulian Manchev, Sonali Bahl, Stephanie Warnken, Liam Spurr, Tatiyana Apanasovich, Keith Crandall, Nathan Edwards, Anelia Horvath
Asymmetric allele content in the transcriptome can be indicative of functional and selective features of the underlying genetic variants. Yet, imbalanced alleles, especially from diploid genome regions, are poorly explored in cancer. Here we systematically quantify and integrate the variant allele fraction from corresponding RNA and DNA sequence data from patients with breast cancer acquired through The Cancer Genome Atlas (TCGA). We test for correlation between allele prevalence and functionality in known cancer-implicated genes from the Cancer Gene Census (CGC)...
August 15, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28809778/reprimo-a-potential-p53-dependent-tumor-suppressor-gene-is-frequently-hypermethylated-in-estrogen-receptor-%C3%AE-positive-breast-cancer
#11
Kurt Buchegger, Ismael Riquelme, Tamara Viscarra, Carmen Ili, Priscilla Brebi, Tim Hui-Ming Huang, Juan Carlos Roa
Aberrant DNA methylation is a hallmark of many cancers. Currently, there are four intrinsic molecular subtypes in breast cancer (BC): Luminal A, B, Her2-positive, and triple negative (TNBC). Recently, The Cancer Genome Atlas (TCGA) project has revealed that Luminal subtypes have higher levels of genome-wide methylation that may be a result of Estrogen/Estrogen receptor α (E2/ERα) signaling pathway activation. In this study, we analyze promoter CpG-island (CGIs) of the Reprimo (RPRM) gene in breast cancers (n = 77), cell lines (n = 38), and normal breast tissue (n = 10) using a MBDCap-seq database...
August 15, 2017: International Journal of Molecular Sciences
https://www.readbyqxmd.com/read/28809126/comprehensive-epigenetic-analysis-of-the-signature-genes-in-lung-adenocarcinoma
#12
Yunfeng Zhang, Weidong Zhao, Jia Zhang
AIM: This study aimed to explore the epigenetic modifications of signature genes in lung adenocarcinoma. MATERIALS & METHODS: The data of miRNA expression, mRNA expression and DNA methylation were downloaded from The Cancer Genome Atlas. Differential analysis was performed, followed by correlation analysis of miRNA-mRNA and DNA methylation-mRNA. RESULTS: A total of 14 significant inverse correlations between gene expression and DNA methylation were identified, the expressions of which were selected for further validation via GSE27262, displaying similar pattern with that of the integrated analysis...
August 15, 2017: Epigenomics
https://www.readbyqxmd.com/read/28808310/genome-scale-analysis-identifies-nek2-dlgap5-and-ect2-as-promising-diagnostic-and-prognostic-biomarkers-in-human-lung-cancer
#13
Yuan-Xiang Shi, Ji-Ye Yin, Yao Shen, Wei Zhang, Hong-Hao Zhou, Zhao-Qian Liu
This study aims to identify promising biomarkers for the early detection of lung cancer and evaluate the prognosis of lung cancer patients. Genome-wide mRNA expression data obtained from the Gene Expression Omnibus (GSE19188, GSE18842 and GSE40791), including 231 primary tumor samples and 210 normal samples, were used to discover differentially expressed genes (DEGs). NEK2, DLGAP5 and ECT2 were found to be highly expressed in tumor samples. These results were experimentally confirmed by quantitative reverse transcription-polymerase chain reaction (qRT-PCR)...
August 14, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28802528/how-young-is-too-young-in-breast-cancer-young-breast-cancer-is-not-a-unique-biological-subtype
#14
Jianfei Fu, Lunpo Wu, Wei Fu, Yinuo Tan, Tiantian Xu, Zhongwu Hong, Fan Wang, Shuguang Li
BACKGROUND: There is no uniformly adopted cutoff value to define "young patients" with breast cancer. This study was designed to determine an optimal cutoff value, to investigate prognostic factors and to explore gene expression profiles of young female breast cancer. MATERIALS AND METHODS: The Surveillance, Epidemiology, and End Results database was examined to identify cases of female breast cancer diagnosed between 2000 and 2007. The optimal cutoff value for young age was determined using the X-tile program (Yale University, version 3...
June 8, 2017: Clinical Breast Cancer
https://www.readbyqxmd.com/read/28802252/exploiting-radiation-induced-signaling-to-increase-the-susceptibility-of-resistant-cancer-cells-to-targeted-drugs-akt-and-mtor-inhibitors-as-an-example
#15
Iris Eke, Adeola Y Makinde, Molykutty J Aryankalayil, Veit Sandfort, Sanjeewani T Palayoor, Barbara H Rath, Lance Liotta, Mariaelena Pierobon, Emanuel F Petricoin, Matthew F Brown, Jayne M Stommel, Mansoor M Ahmed, C Norman Coleman
Implementing targeted drug therapy in radio-oncologic treatment regimens has greatly improved the outcome of cancer patients. However, the efficacy of molecular targeted drugs such as inhibitory antibodies or small molecule inhibitors essentially depends on target expression and activity, which both can change during the course of treatment. Radiotherapy has previously been shown to activate pro-survival pathways which can help tumor cells to adapt and thereby survive treatment. Therefore, we aimed to identify changes in signaling induced by radiation and evaluate the potential of targeting these changes with small molecules to increase the therapeutic efficacy on cancer cell survival...
August 11, 2017: Molecular Cancer Therapeutics
https://www.readbyqxmd.com/read/28800945/impact-of-age-at-diagnosis-on-racial-disparities-in-endometrial-cancer-patients
#16
Christopher M Tarney, Chunqiao Tian, Guisong Wang, Elizabeth A Dubil, Nicholas W Bateman, John K Chan, Mohamed A Elshaikh, Michele L Cote, Joellen M Schildkraut, Craig D Shriver, Thomas P Conrads, Chad A Hamilton, G Larry Maxwell, Kathleen M Darcy
INTRODUCTION: Although black patients with endometrial cancer (EC) have worse survival compared with white patients, the interaction between age/race has not been examined. The primary objective was to evaluate the impact of age at diagnosis on racial disparities in disease presentation and outcome in EC. METHODS: We evaluated women diagnosed with EC between 1991 and 2010 from the Surveillance, Epidemiology, and End Results. Mutation status for TP53 or PTEN, or with the aggressive integrative, transcript-based, or somatic copy number alteration-based molecular subtype were acquired from the Cancer Genome Atlas...
August 8, 2017: Gynecologic Oncology
https://www.readbyqxmd.com/read/28797155/-clinical-significance-of-%C3%AF-1-receptor-over-expression-in-cervical-cancer-and-the-effect-of-its-synthetic-ligands-on-the-growth-of-cervical-cancer-cells
#17
Y Q Deng, X H Zhou, L L Jiang, X J Tang, Y X Zhang, J Q Cui
Objective: To explore the role of σ1 receptor (σ1R) in the clinical prognosis of cervical cancer,and provide a theoretical basis for σ1R targeted molecular therapy through observing the inhibition of synthetic σ1R-specific ligand compounds on the growth of cervical cancer cells. Methods: (1) Immunohistochemical or immunocytochemistry staining were respectively used to detect the expression and localization of σ1R protein. (2) The Cancer Genome Atlas (TCGA) data set was used to validate our results. (3) Two series of 4 novel σ1R ligand compounds were synthesized by altering the N-terminal substituents on the piperidine ring of the prezamicol analogue, named as 14a, 14e, 15c and 15f...
July 25, 2017: Zhonghua Fu Chan Ke za Zhi
https://www.readbyqxmd.com/read/28794857/extending-tcga-queries-to-automatically-identify-analogous-genomic-data-from-dbgap
#18
Erin K Wagner, Satyajeet Raje, Liz Amos, Jessica Kurata, Abhijit S Badve, Yingquan Li, Ben Busby
Data sharing is critical to advance genomic research by reducing the demand to collect new data by reusing and combining existing data and by promoting reproducible research. The Cancer Genome Atlas (TCGA) is a popular resource for individual-level genotype-phenotype cancer related data. The Database of Genotypes and Phenotypes (dbGaP) contains many datasets similar to those in TCGA. We have created a software pipeline that will allow researchers to discover relevant genomic data from dbGaP, based on matching TCGA metadata...
2017: F1000Research
https://www.readbyqxmd.com/read/28791371/comprehensive-analysis-of-aberrantly-expressed-microrna-profiles-reveals-potential-biomarkers-of-human-lung-adenocarcinoma-progression
#19
Jing Sui, Ru-Song Yang, Si-Yi Xu, Yan-Qiu Zhang, Cheng-Yun Li, Sheng Yang, Li-Hong Yin, Yue-Pu Pu, Ge-Yu Liang
Lung adenocarcinoma (LUAD) is a complex disease that poses challenges for diagnosis and treatment. The aim of the present study is to investigate LUAD-specific key microRNAs (miRNAs) from large-scale samples in The Cancer Genome Atlas (TCGA) database. We used an integrative computational method to identify LUAD-specific key miRNAs related to TNM stage and lymphatic metastasis from the TCGA database. Twenty-five LUAD-specific key miRNAs (fold change >2, p<0.05) from the TCGA database were investigated, and 15 were found to be aberrantly expressed with respect to clinical features...
August 4, 2017: Oncology Reports
https://www.readbyqxmd.com/read/28783722/identification-of-essential-genes-for-cancer-immunotherapy
#20
Shashank J Patel, Neville E Sanjana, Rigel J Kishton, Arash Eidizadeh, Suman K Vodnala, Maggie Cam, Jared J Gartner, Li Jia, Seth M Steinberg, Tori N Yamamoto, Anand S Merchant, Gautam U Mehta, Anna Chichura, Ophir Shalem, Eric Tran, Robert Eil, Madhusudhanan Sukumar, Eva Perez Guijarro, Chi-Ping Day, Paul Robbins, Steve Feldman, Glenn Merlino, Feng Zhang, Nicholas P Restifo
Somatic gene mutations can alter the vulnerability of cancer cells to T-cell-based immunotherapies. Here we perturbed genes in human melanoma cells to mimic loss-of-function mutations involved in resistance to these therapies, by using a genome-scale CRISPR-Cas9 library that consisted of around 123,000 single-guide RNAs, and profiled genes whose loss in tumour cells impaired the effector function of CD8(+) T cells. The genes that were most enriched in the screen have key roles in antigen presentation and interferon-γ signalling, and correlate with cytolytic activity in patient tumours from The Cancer Genome Atlas...
August 7, 2017: Nature
keyword
keyword
3495
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"