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Pan-urologic cancer genomic subtypes that transcend tissue of origin

Fengju Chen, Yiqun Zhang, Dominick Bossé, Aly-Khan A. Lalani, A. Ari Hakimi, James J. Hsieh, Toni K. Choueiri, Don L. Gibbons, Michael Ittmann, Chad J. Creighton
2017 Nature Communications  
., ,"Pan-urologic cancer genomic subtypes that transcend tissue of origin.  ...  copy number, and RNA and protein expression).  ...  Analysis of external multi-cancer data set.  ... 
doi:10.1038/s41467-017-00289-x pmid:28775315 pmcid:PMC5543131 fatcat:5xdmfiq2yvhg7iky3f64f4r3oi

Pan-cancer stratification of solid human epithelial tumors and cancer cell lines reveals commonalities and tissue-specific features of the CpG island methylator phenotype

Francisco Sánchez-Vega, Valer Gotea, Gennady Margolin, Laura Elnitski
2015 Epigenetics & Chromatin  
With a minimal set of 89 discriminative loci, we demonstrate accurate pan-cancer separation of the 12 CIMP+/− subpopulations, based on their average levels of methylation.  ...  Even though there have been numerous studies of CIMP in individual cancer types, a uniform analysis across tissues is still lacking.  ...  Acknowledgement This work was supported by the Intramural Program of the National Human Genome Research Institute, National Institutes of Health.  ... 
doi:10.1186/s13072-015-0007-7 pmid:25960768 pmcid:PMC4424513 fatcat:ryrlnqpelzd4dcm2iowlmx7mqe

The UCSC Cancer Genomics Browser: update 2015

Mary Goldman, Brian Craft, Teresa Swatloski, Melissa Cline, Olena Morozova, Mark Diekhans, David Haussler, Jingchun Zhu
2014 Nucleic Acids Research  
Users can download and upload clinical data, generate Kaplan-Meier plots dynamically, export data directly to Galaxy for analysis, plus generate URL bookmarks of specific views of the data to share with  ...  The Cancer Genomics Browser currently hosts 575 public datasets from genome-wide analyses of over 227 000 samples, including datasets from TCGA, CCLE, Connectivity Map and TARGET.  ...  In addition to the efforts of the TCGA Pan-Cancer Analysis Working Group, we also have assembled gene-level copy number and gene expression across all 31 TCGA cancer types.  ... 
doi:10.1093/nar/gku1073 pmid:25392408 pmcid:PMC4383911 fatcat:engeo7umabdqrdqupnemmwgucu

Assessing the clinical utility of cancer genomic and proteomic data across tumor types

Yuan Yuan, Eliezer M Van Allen, Larsson Omberg, Nikhil Wagle, Ali Amin-Mansour, Artem Sokolov, Lauren A Byers, Yanxun Xu, Kenneth R Hess, Lixia Diao, Leng Han, Xuelin Huang (+8 others)
2014 Nature Biotechnology  
Here we retrospectively predict patient survival using diverse molecular data (somatic copy-number alteration, DNA methylation and mRNA, miRNA and protein expression) from 953 samples of four cancer types  ...  In clinically relevant genes, we identified 10,281 somatic alterations across 12 cancer types in 2,928 of 3,277 patients (89.4%), many of which would not be revealed in single-tumor analyses.  ...  We obtained the clinical variables from TCGA Data Portal (https://tcga-data.nci.nih.gov/tcga/) and the molecular data (including DNA methylation, mRNA, miRNA and protein expression) from the Pan-cancer  ... 
doi:10.1038/nbt.2940 pmid:24952901 pmcid:PMC4102885 fatcat:nvu2cvkfcbg4lfg3nvyebkagp4

Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer

Katherine A. Hoadley, Christina Yau, Toshinori Hinoue, Denise M. Wolf, Alexander J. Lazar, Esther Drill, Ronglai Shen, Alison M. Taylor, Andrew D. Cherniack, Vésteinn Thorsson, Rehan Akbani, Reanne Bowlby (+736 others)
2018 Cell  
Highlights d An integrative data clustering method is applied to reclassify human tumors d Cell-of-origin influences, but does not fully determine, tumor classification d Immune features and copy-number  ...  aberrations define the most mixed tumor groups d Multi-cancer groups reveal new features with potential clinical utility  ...  TCGA RNA-seq values from the PanCancer Atlas normalized gene expression matrix were scored for each of the 160 identified gene expression signatures using single-sample gene set enrichment (ssGSEA) analysis  ... 
doi:10.1016/j.cell.2018.03.022 pmid:29625048 pmcid:PMC5957518 fatcat:mb7h6nnkordonoalcs754havi4

Comparison of gene expression patterns across 12 tumor types identifies a cancer supercluster characterized by TP53 mutations and cell cycle defects

E Martínez, K Yoshihara, H Kim, G M Mills, V Treviño, R G W Verhaak
2014 Oncogene  
and similarities in gene expression.  ...  of DNA double strand breaks and high expression of cyclin B1 protein.  ...  National Cancer Institute (NCI; MD Anderson TCGA Genome Data Analysis Center) grant numbers CA143883 and CA083639, and MD Anderson Cancer Center Support Grant P30 CA016672.  ... 
doi:10.1038/onc.2014.216 pmid:25088195 pmcid:PMC4317393 fatcat:3xkht4dorvbm5i2k7voe75sf34

Wx: a neural network-based feature selection algorithm for next-generation sequencing data [article]

Sungsoo Park, Bonggun Shin, Yoonjung Choi, Kilsoo Kang, Keunsoo Kang
2017 bioRxiv   pre-print
We applied the Wx algorithm to a TCGA pan-cancer gene-expression cohort to identify an optimal set of gene-expression biomarker (universal gene-expression biomarkers) candidates that can distinguish cancer  ...  With a gene list ranked by DI score, researchers can institutively select the optimal set of genes from the highest-ranking ones.  ...  Funding This study was supported by a grant from the National R&D Program for Cancer Control, Ministry of Health & Welfare, Republic of Korea(1720100).  ... 
doi:10.1101/221911 fatcat:2f6zfjrpjreznlgemwqc7vdjne

Wx: a neural network-based feature selection algorithm for transcriptomic data

Sungsoo Park, Bonggun Shin, Won Sang Shim, Yoonjung Choi, Kilsoo Kang, Keunsoo Kang
2019 Scientific Reports  
We applied the Wx algorithm to a TCGA pan-cancer gene-expression cohort to identify an optimal set of gene-expression biomarker candidates that can distinguish cancer samples from normal samples for 12  ...  different types of cancer.  ...  This study was supported by a grant from the National R&D Program for Cancer Control, Ministry of Health & Welfare, Republic of Korea (1720100).  ... 
doi:10.1038/s41598-019-47016-8 pmid:31324856 pmcid:PMC6642261 fatcat:jtgnopdnyjezdg34atifdrpgui

Gene co-expression network analysis reveals common system-level properties of prognostic genes across cancer types

Yang Yang, Leng Han, Yuan Yuan, Jun Li, Nainan Hei, Han Liang
2014 Nature Communications  
Here we examined their properties in gene co-expression networks for four cancer types using data from 'The Cancer Genome Atlas'.  ...  In contrast, the prognostic genes are enriched in modules (a group of highly interconnected genes), especially in module genes conserved across different cancer co-expression networks.  ...  The TCGA Pan-Cancer Analysis Working Group is coordinated by J.M. Stuart  ... 
doi:10.1038/ncomms4231 pmid:24488081 pmcid:PMC3951205 fatcat:d6yikb7g7zecfbiemxiuf67h4e

Comprehensive transcriptomic analysis of cell lines as models of primary tumors across 22 tumor types

K. Yu, B. Chen, D. Aran, J. Charalel, C. Yau, D. M. Wolf, L. J. van 't Veer, A. J. Butte, T. Goldstein, M. Sirota
2019 Nature Communications  
We perform correlation analysis and gene set enrichment analysis to understand the differences between cell lines and primary tumors.  ...  Here we present a comprehensive pan-cancer analysis utilizing transcriptomic profiles from The Cancer Genome Atlas and the Cancer Cell Line Encyclopedia to evaluate cell lines as models of primary tumors  ...  We would also like to thank researchers at the Broad Institute and The Cancer Genome Atlas Consortium who released data to the public.  ... 
doi:10.1038/s41467-019-11415-2 pmid:31395879 pmcid:PMC6687785 fatcat:pjkmtto4z5e55npsephqgmzmba

Transcriptional response profiles of paired tumor-normal samples offer novel perspectives in pan-cancer analysis

Shuofeng Hu, Hanyu Yuan, Zongcheng Li, Jian Zhang, Jiaqi Wu, Yaowen Chen, Qiang Shi, Wu Ren, Ningsheng Shao, Xiaomin Ying
2017 OncoTarget  
Our results suggest that transcriptional response profiles of paired tumor-normal tissues can provide novel perspectives in pan-cancer analysis.  ...  Transcriptional response profiles represent the changes of gene expression levels between paired tumor and adjacent normal tissues.  ...  RESULTS Transcriptional response profile-based pancancer clustering We collected gene expression profiles of 633 paired tumor-normal samples from 13 TCGA cancer data sets [6-9, [22] [23] [24] [25] [  ... 
doi:10.18632/oncotarget.17295 pmid:28489584 pmcid:PMC5522216 fatcat:vy72hiibefcp3ftz55kle4f2ge

Multiplatform Analysis of 12 Cancer Types Reveals Molecular Classification within and across Tissues of Origin

Katherine A. Hoadley, Christina Yau, Denise M. Wolf, Andrew D. Cherniack, David Tamborero, Sam Ng, Max D.M. Leiserson, Beifang Niu, Michael D. McLellan, Vladislav Uzunangelov, Jiashan Zhang, Cyriac Kandoth (+20 others)
2014 Cell  
From these, we identified gene programs as those whose genes have mRNA-seq signatures of high mutual correlation across the Pan-Cancer-12 data set.  ...  Genes were then identified as those predicted to be targeted by a differentially expressed miRNA that was also anticorrelated across the Pan-Cancer-12 data set.  ... 
doi:10.1016/j.cell.2014.06.049 pmid:25109877 pmcid:PMC4152462 fatcat:ft7riwvnb5egvlowairhf7ej6a

Identification of HOXB9 to predict prognosis of endometrial cancer based on comprehensive bioinformatics analysis

Yanhua Xu, Mu Zhang, Qin Shi, Xi Cheng, Rong Du, Chenglu Li, Yuquan Zhang
2023 European Journal of Medical Research  
Methods We used multiple bioinformatics tools to explore the role of HOXB9 in EC. Results The expression of HOXB9 was significantly upregulated in pan-cancer, including EC (P < 0.05).  ...  Background The HOXB9 gene, which plays a key role in embryonic development, is also involved in the regulation of various human cancers.  ...  In our pan-cancer analysis, we found HOXB9 expression was elevated in these cancers, with roughly the same results.  ... 
doi:10.1186/s40001-022-00979-3 pmid:36803556 pmcid:PMC9936693 fatcat:ambdje4m4beind2fi2uknvs6xe

Pan-Cancer Analysis of Human Kinome Gene Expression and Promoter DNA Methylation Identifies Dark Kinase Biomarkers in Multiple Cancers

Siddesh Southekal, Nitish Kumar Mishra, Chittibabu Guda
2021 Cancers  
In this study, the human kinome's DNA methylation and gene expression patterns were analyzed using the level-3 TCGA data for 32 cancers.  ...  DNA methylation is one of the key epigenetic regulators that modulate gene expression.  ...  The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.  ... 
doi:10.3390/cancers13061189 pmid:33801837 pmcid:PMC8001681 fatcat:rg6bznlvvvgtloquttadq2c5s4

Comprehensive Characterization of Molecular Differences in Cancer between Male and Female Patients

Yuan Yuan, Lingxiang Liu, Hu Chen, Yumeng Wang, Yanxun Xu, Huzhang Mao, Jun Li, Gordon B. Mills, Yongqian Shu, Liang Li, Han Liang
2016 Cancer Cell  
Graphical Abstract Highlights d A rigorous, pan-cancer analysis of sex effects on molecular profiles of patients d Two sex-effect cancer groups showing distinct incidence and mortality profiles d Extensive  ...  sex-biased gene expression signatures in some cancer types d A considerable number of clinically actionable genes with sex-biased signatures SUMMARY An individual's sex has been long recognized as a key  ...  ACKNOWLEDGMENTS We gratefully acknowledge contributions from TCGA Research Network and TCGA Pan-Cancer Analysis Working Group. This study was supported by the NIH (CA175486 and CCSG .  ... 
doi:10.1016/j.ccell.2016.04.001 pmid:27165743 pmcid:PMC4864951 fatcat:ruwf6llwqrfehbkimgn467ivyq
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