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The cancer genome atlas

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https://www.readbyqxmd.com/read/28454437/polycomb-group-expression-signatures-in-the-malignant-progression-of-gliomas
#1
Qi Hu, Weining Wu, Ailiang Zeng, Tianfu Yu, Feng Shen, Er Nie, Yingyi Wang, Ning Liu, Junxia Zhang, Yongping You
Polycomb group (PcG) proteins form at least two key complexes, namely polycomb repressive complex 1 and polycomb repressive complex 2. These complexes are involved in the progression of various cancers. Systematic research has not been conducted on the aberrant expression of PcG members in gliomas. Using the Chinese Glioma Genome Atlas data set, PcG expression patterns between normal brain tissues and glioma samples were analyzed, and a PcG-based classifier was then developed using BRB Cox regression and risk-score model...
April 2017: Oncology Letters
https://www.readbyqxmd.com/read/28454214/genome-wide-analysis-of-gynecologic-cancer-the-cancer-genome-atlas-in-ovarian-and-endometrial-cancer
#2
Moito Iijima, Kouji Banno, Ryuichiro Okawa, Megumi Yanokura, Miho Iida, Takashi Takeda, Haruko Kunitomi-Irie, Masataka Adachi, Kanako Nakamura, Kiyoko Umene, Yuya Nogami, Kenta Masuda, Eiichiro Tominaga, Daisuke Aoki
Cancer typically develops due to genetic abnormalities, but a single gene abnormality cannot completely account for the onset of cancer. The Cancer Genome Atlas (CGA) project was conducted for the cross-sectional genome-wide analysis of numerous genetic abnormalities in various types of cancer. This approach has facilitated the identification of novel AT-rich interaction domain 1A gene mutations in ovarian clear cell carcinoma, frequent tumor protein 53 (TP53) gene mutations in high-grade ovarian serous carcinoma, and Kirsten rat sarcoma and B-rapidly accelerated fibrosarcoma proto-oncogene, serine/threonine kinase gene mutations in low-grade ovarian serous carcinoma...
March 2017: Oncology Letters
https://www.readbyqxmd.com/read/28454104/rna-sequencing-based-cell-proliferation-analysis-across-19-cancers-identifies-a-subset-of-proliferation-informative-cancers-with-a-common-survival-signature
#3
Ryne C Ramaker, Brittany N Lasseigne, Andrew A Hardigan, Laura Palacio, David S Gunther, Richard M Myers, Sara J Cooper
Despite advances in cancer diagnosis and treatment strategies, robust prognostic signatures remain elusive in most cancers. Cell proliferation has long been recognized as a prognostic marker in cancer, but the generation of comprehensive, publicly available datasets allows examination of the links between cell proliferation and cancer characteristics such as mutation rate, stage, and patient outcomes. Here we explore the role of cell proliferation across 19 cancers (n = 6,581 patients) by using tissue-based RNA sequencing data from The Cancer Genome Atlas Project and calculating a 'proliferative index' derived from gene expression associated with Proliferating Cell Nuclear Antigen (PCNA) levels...
April 8, 2017: Oncotarget
https://www.readbyqxmd.com/read/28453745/percentage-of-mesenchymal-stem-cells-in-high-grade-glioma-tumor-samples-correlates-with-patient-survival
#4
Tal Shahar, Uri Rozovski, Kenneth R Hess, Anwar Hossain, Joy Gumin, Feng Gao, Gregory N Fuller, Lindsey Goodman, Erik P Sulman, Frederick F Lang
Background.: Human mesenchymal stem cells (hMSCs) have been shown to reside as stromal cells in human gliomas as glioma-associated hMSCs (GA-hMSCs), but their biological role remains unclear. Because recent evidence indicates that GA-hMSCs drive tumor cell proliferation and stemness, we hypothesized that a higher percentage of GA-hMSCs in tumors predicts poor patient prognosis. Method.: We determined the percentage of cells coexpressing GA-hMSC markers CD105+/CD73+/CD90+ from patients with newly diagnosed high-grade glioma and analyzed the association between this percentage and overall survival (OS) in 3 independent cohorts: fresh surgical glioblastoma specimens (cohort 1, N = 9), cultured tumor specimens at passage 3 (cohort 2, N = 28), and The Cancer Genome Atlas (TCGA) database...
May 1, 2017: Neuro-oncology
https://www.readbyqxmd.com/read/28453687/gdisc-a-web-portal-for-integrative-analysis-of-gene-drug-interaction-for-survival-in-cancer
#5
John Christian Givhan Spainhour, Juho Lim, Peng Qiu
Summary: Survival analysis has been applied to The Cancer Genome Atlas (TCGA) data. Although drug exposure records are available in TCGA, existing survival analyses typically did not consider drug exposure, partly due to naming inconsistencies in the data. We have spent extensive effort to standardize the drug exposure data, which enabled us to perform survival analysis on drug-stratified subpopulations of cancer patients. Using this strategy, we integrated gene copy number data, drug exposure data and patient survival data to infer gene-drug interactions that impact survival...
May 1, 2017: Bioinformatics
https://www.readbyqxmd.com/read/28446723/up-regulation-of-long-non-coding-rna-spry4-it1-promotes-tumor-cell-migration-and-invasion-in-lung-adenocarcinoma
#6
Xia Zhang, Qingyan Chi, Zhenhua Zhao
Long non-coding RNAs (lncRNAs) play important role in a variety of biological processes, and are tightly associated with tumorigenesis and cancer prognosis. However, the potential power of lncRNA signatures in predicting survival of patients with lung adenocarcinoma (LUAD) has not been investigated. Here, we identified a four-lncRNA signature (SPRY4-IT1, LINC00941,GPR158-AS1 and KCNK15-AS1) displaying prognostic values for LUAD using The Cancer Genome Atlas (TCGA) dataset. Based on the four-lncRNA signature, the LUAD patients can be classified into high-risk and low-risk groups with significantly different survival...
April 7, 2017: Oncotarget
https://www.readbyqxmd.com/read/28446242/activity-of-distinct-growth-factor-receptor-network-components-in-breast-tumors-uncovers-two-biologically-relevant-subtypes
#7
Mumtahena Rahman, Shelley M MacNeil, David F Jenkins, Gajendra Shrestha, Sydney R Wyatt, Jasmine A McQuerry, Stephen R Piccolo, Laura M Heiser, Joe W Gray, W Evan Johnson, Andrea H Bild
BACKGROUND: The growth factor receptor network (GFRN) plays a significant role in driving key oncogenic processes. However, assessment of global GFRN activity is challenging due to complex crosstalk among GFRN components, or pathways, and the inability to study complex signaling networks in patient tumors. Here, pathway-specific genomic signatures were used to interrogate GFRN activity in breast tumors and the consequent phenotypic impact of GRFN activity patterns. METHODS: Novel pathway signatures were generated in human primary mammary epithelial cells by overexpressing key genes from GFRN pathways (HER2, IGF1R, AKT1, EGFR, KRAS (G12V), RAF1, BAD)...
April 26, 2017: Genome Medicine
https://www.readbyqxmd.com/read/28445945/non-small-cell-lung-cancer-associated-microrna-expression-signature-integrated-bioinformatics-analysis-validation-and-clinical-significance
#8
Chunyu Li, Yunhong Yin, Xiao Liu, Xuejiao Xi, Weixiao Xue, Yiqing Qu
Recently, increasing studies of miRNA expression profiling has confirmed that miRNA plays an essential role in non-small cell lung cancer (NSCLC). However, inconsistent or discrepant results exist in these researches. In present study, we performed an integrative analysis of 32 miRNA profiling studies compared the differentially expressed miRNA between NSCLC tissue and non-cancerous lung tissue to identify candidate miRNAs associated with NSCLC. 7 upregulated and 10 downregulated miRNAs were identified as miRNA integrated-signature using Robust Rank Aggregation (RRA) method...
April 11, 2017: Oncotarget
https://www.readbyqxmd.com/read/28443495/aldh1a3-correlates-with-luminal-phenotype-in-prostate-cancer
#9
Shangqian Wang, Chao Liang, Meiling Bao, Xiao Li, Lei Zhang, Shuang Li, Chao Qin, Pengfei Shao, Jie Li, Lixin Hua, Zengjun Wang
Prostate cancer is the most common male malignancies in the United States. The specific characteristics of different disease stages have been deeply investigated. We present our data on ALDH1A3 as a potential therapeutic target for the prostate cancer based on several functional investigations. Also, we used The Cancer Genome Atlas datasets for primary prostate cancer to detect the relevance of ALDH1A3 and prostate cancer luminal phenotype. We found that ALDH1A3 correlated with androgen receptor signaling pathway in primary prostate cancer, which is consistent with its luminal layer localization...
April 2017: Tumour Biology: the Journal of the International Society for Oncodevelopmental Biology and Medicine
https://www.readbyqxmd.com/read/28443494/expression-profiling-of-long-non-coding-rna-identifies-linc-ror-as-a-prognostic-biomarker-in-oral-cancer
#10
Ganesan Arunkumar, Arunagiri Kuha Deva Magendhra Rao, Mayakannan Manikandan, Kanagaraj Arun, Vilvanathan Vinothkumar, Sundaramoorthy Revathidevi, Kottayasamy Seenivasagam Rajkumar, Ramamurthy Rajaraman, Arasambattu Kannan Munirajan
Oral squamous cell carcinoma is the most aggressive cancer that is associated with high recurrence, metastasis, and poor treatment outcome. Dysregulation of long non-coding RNAs has been shown to promote tumor growth and metastasis in several cancers. In this study, we investigated the expression of 11 selected long non-coding RNAs that are associated with cell proliferation, metastasis, and tumor suppression in oral squamous cell carcinomas and normal tissues by quantitative real-time polymerase chain reaction...
April 2017: Tumour Biology: the Journal of the International Society for Oncodevelopmental Biology and Medicine
https://www.readbyqxmd.com/read/28440475/a-nine-mirna-signature-as-a-potential-diagnostic-marker-for-breast-carcinoma-an-integrated-study-of-1-110-cases
#11
Dan-Dan Xiong, Jun Lv, Kang-Lai Wei, Zhen-Bo Feng, Ji-Tian Chen, Ke-Cheng Liu, Gang Chen, Dian-Zhong Luo
Growing evidence indicates that microRNAs (miRNAs) play critical roles in the initiation and progression of breast carcinoma (BC) and are promising diagnostic biomarkers. In the present study, we aimed to identify a multi-marker miRNA pool with high diagnostic performance for BC. We collected miRNA expression profiles of BC samples and normal breast tissues from The Cancer Genome Atlas (TCGA) and screened differentially expressed miRNAs by conducting two‑sample t-tests and by calculating log2 fold-change (log2FC) ratios...
April 25, 2017: Oncology Reports
https://www.readbyqxmd.com/read/28440066/elevated-glypican-1-expression-is-associated-with-an-unfavorable-prognosis-in-pancreatic-ductal-adenocarcinoma
#12
Haizhen Lu, Fangfei Niu, Fang Liu, Jiajia Gao, Yulin Sun, Xiaohang Zhao
Pancreatic ductal adenocarcinoma (PDAC) is the most lethal cancer in humans, with a 5-year survival rate of <5%. Recently, glypican-1 (GPC1)-expressing circulating exosomes were found to be a promising diagnostic tool for PDAC. However, the aberrant expression of GPC1 has not been systematically evaluated in large-scale clinical samples of PDAC. Here, we performed a comprehensive analysis of GPC1 mRNA and protein expression features. Included in this study were 178 PDAC patients from the cancer genome atlas (TCGA) and 186 subjects whose tissues were used in immunohistochemical staining assays...
April 24, 2017: Cancer Medicine
https://www.readbyqxmd.com/read/28439535/a-murine-preclinical-syngeneic-transplantation-model-for-breast-cancer-precision-medicine
#13
Lorenzo Federico, Zechen Chong, Dong Zhang, Daniel J McGrail, Wei Zhao, Kang Jin Jeong, Christopher P Vellano, Zhenlin Ju, Mihai Gagea, Shuying Liu, Shreya Mitra, Jennifer B Dennison, Philip L Lorenzi, Robert Cardnell, Lixia Diao, Jing Wang, Yiling Lu, Lauren A Byers, Charles M Perou, Shiaw-Yih Lin, Gordon B Mills
We previously demonstrated that altered activity of lysophosphatidic acid in murine mammary glands promotes tumorigenesis. We have now established and characterized a heterogeneous collection of mouse-derived syngeneic transplants (MDSTs) as preclinical platforms for the assessment of personalized pharmacological therapies. Detailed molecular and phenotypic analyses revealed that MDSTs are the most heterogeneous group of genetically engineered mouse models (GEMMs) of breast cancer yet observed. Response of MDSTs to trametinib, a mitogen-activated protein kinase (MAPK) kinase inhibitor, correlated with RAS/MAPK signaling activity, as expected from studies in xenografts and clinical trials providing validation of the utility of the model...
April 2017: Science Advances
https://www.readbyqxmd.com/read/28438487/processdriver-a-computational-pipeline-to-identify-copy-number-drivers-and-associated-disrupted-biological-processes-in-cancer
#14
Brittany Baur, Serdar Bozdag
Copy number amplifications and deletions that are recurrent in cancer samples harbor genes that confer a fitness advantage to cancer tumor proliferation and survival. One important challenge in computational biology is to separate the causal (i.e., driver) genes from passenger genes in large, aberrated regions. We propose a computational pipeline, called ProcessDriver, that prioritizes candidate drivers by relating cis genes within the copy number aberration to dysregulated trans genes and biological processes...
April 21, 2017: Genomics
https://www.readbyqxmd.com/read/28436261/a-qrt-pcr-and-gene-functional-enrichment-study-focused-on-downregulation-of-mir-141-3p-in-hepatocellular-carcinoma-and-its-clinicopathological-significance
#15
Cui-Zhen Liu, Zhi-Hua Ye, Jie Ma, Rong-Quan He, Hai-Wei Liang, Zhi-Gang Peng, Gang Chen
BACKGROUND: The clinical significance of miR-141-3p in hepatocellular carcinoma has not been verified. Therefore, we conducted this study to examine miR-141-3p expression and its clinical significance in hepatocellular carcinoma and to investigate the functions of its potential targets. METHODS: The Cancer Genome Atlas database and the Gene Expression Omnibus database were used to explore the aberrant expression of miR-141-3p in hepatocellular carcinoma. Furthermore, we assessed the miR-141-3p levels in 95 hepatocellular carcinoma tissues with 95 matched adjacent tissues using real-time quantitative polymerase chain reaction...
January 1, 2017: Technology in Cancer Research & Treatment
https://www.readbyqxmd.com/read/28435028/antagonistic-effects-of-p53-and-hif1a-on-microrna-34a-regulation-of-ppp1r11-and-stat3-and-hypoxia-induced-epithelial-to-mesenchymal-transition-in-colorectal-cancer-cells
#16
Huihui Li, Matjaz Rokavec, Longchang Jiang, David Horst, Heiko Hermeking
BACKGROUND & AIMS: In colorectal tumors, hypoxia causes resistance to therapy and promotes metastasis. Loss of the tumor suppressor p53 (encoded by TP53) provides cancer cells with a selective advantage under conditions of hypoxia, but little is known about the mediators of this effect. METHODS: Isogenic CRC cell lines with different TP53 genotypes were placed under conditions of hypoxia. We examined the effects on levels and activity of microRNA-34 a (MIR34A) in CRC cells...
April 20, 2017: Gastroenterology
https://www.readbyqxmd.com/read/28430657/microrna-signatures-predict-prognosis-of-patients-with-glioblastoma-multiforme-through-the-cancer-genome-atlas
#17
Ying Yuan, Hua Zhang, Xuexia Liu, Zhongming Lu, Guojun Li, Meixia Lu, Xiaofeng Tao
MicroRNAs (miRNAs) play major roles in various biological processes and have been implicated in the pathogenesis and malignant progression of glioblastoma multiforme (GBM). The aim of this study was to assess the predictive values of miRNAs for overall survival (OS) of patients with GBM. MiRNA expression profiles and clinical information of 563 GBM patients were obtained from the Cancer Genome Atlas. The most significantly altered miRNAs were identified and miRNA expression profiles were performed, through principal component analysis, the least absolute shrinkage and selection operator method...
April 6, 2017: Oncotarget
https://www.readbyqxmd.com/read/28430373/a-five-mirna-expression-signature-predicts-survival-in-hepatocellular-carcinoma
#18
Gang Liu, Hui Wang, Jin-Dong Fu, Jing-Ying Liu, Ai-Guo Yan, Yan-Yan Guan
The aim of this study was to identify a microRNA (miRNA) expression signature for predicting HCC (hepatocellular carcinoma) survival. A total of 322 HCC patients in The Cancer Genome Atlas (TCGA) database were randomly divided into training and testing set. miRNAs, associated with survival time in the training set, were identified by using univariate Cox regression analysis. The risk score was formulated based on the expression levels of these miRNAs. Then the miRNA signature was validated in testing set through Kaplan-Meier analysis and log-rank test...
April 21, 2017: APMIS: Acta Pathologica, Microbiologica, et Immunologica Scandinavica
https://www.readbyqxmd.com/read/28427506/recent-advances-in-genitourinary-tumors-a-review-focused-on-biology-and-systemic-treatment
#19
REVIEW
Aránzazu González Del Alba, José Ángel Arranz, Javier Puente, María José Méndez-Vidal, Enrique Gallardo, Enrique Grande, Begoña Pérez-Valderrama, Enrique González-Billalabeitia, Martín Lázaro-Quintela, Álvaro Pinto, Nuria Lainez, Josep M Piulats, Emilio Esteban, José Pablo Maroto Rey, Jorge A García, Cristina Suárez
Updated information published up to 2016 regarding major advances in renal cancer, bladder cancer, and prostate cancer is here presented. Based on an ever better understanding of the genetic and molecular alterations that govern the initial pathogenic mechanisms of tumor oncogenesis, an improvement in the characterization and treatment of urologic tumors has been achieved in the past year. According to the Cancer Genome Atlas (ATLAS) project, alterations in the MET pathway are characteristics of type 1 papillary renal cell carcinomas, and activation of NRF2-ARE pathway is associated with the biologically distinct type 2...
May 2017: Critical Reviews in Oncology/hematology
https://www.readbyqxmd.com/read/28427189/identifying-biomarkers-of-papillary-renal-cell-carcinoma-associated-with-pathological-stage-by-weighted-gene-co-expression-network-analysis
#20
Zhongshi He, Min Sun, Yuan Ke, Rongjie Lin, Youde Xiao, Shuliang Zhou, Hong Zhao, Yan Wang, Fuxiang Zhou, Yunfeng Zhou
Although papillary renal cell carcinoma (PRCC) accounts for 10%-15% of renal cell carcinoma (RCC), no predictive molecular biomarker is currently applicable to guiding disease stage of PRCC patients. The mRNASeq data of PRCC and adjacent normal tissue in The Cancer Genome Atlas was analyzed to identify 1148 differentially expressed genes, on which weighted gene co-expression network analysis was performed. Then 11 co-expressed gene modules were identified. The highest association was found between blue module and pathological stage (r = 0...
March 2, 2017: Oncotarget
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