Exploring TCGA Pan-Cancer Data at the UCSC Cancer Genomics Browser
|
|
- Berenice Maxwell
- 6 years ago
- Views:
Transcription
1 Exploring TCGA Pan-Cancer Data at the UCSC Cancer Genomics Browser Melissa S. Cline 1*, Brian Craft 1, Teresa Swatloski 1, Mary Goldman 1, Singer Ma 1, David Haussler 1, Jingchun Zhu 1 1 Center for Biomolecular Science and Engineering, University of California, Santa Cruz * Correspondence and requests for materials should be addressed to Melissa S. Cline (cline@soe.ucsc.edu)
2 Supplementary Material Supplementary Figure 1. Pan- Cancer subtypes defined by RNA (k=16) or protein expression (k=8) data show strong overall concordance with tumor's tissue of origin. Each panel is a stacked bar graph (UCSC Cancer Genomics Browser proportions view) of the Pan- Cancer RNA (1st column) and protein expression (2nd column) subtype designations in each of the 12 TCGA cohorts. A view of this figure is at cancer.ucsc.edu/proj/site/hgheatmap/#?bookmark=srs1. OV: ovarian serous cystadeno. GBM: glioblastoma multiforme. COAD: colon adeno. BLCA: bladder urothelial. KIRC: kidney clear cell. UCEC: uterine corpus endometrioid. READ: rectum adeno. HNSC: head and neck squamous cell. AML: acute myeloid leukemia. BRCA: breast invasive. LUAD: lung adeno. LUSC: lung squamous cell.
3 OV GBM non-basal BRCA BLCA KIRC UCEC basal BRCA HNSC AML COADREAD LUAD LUSC 1 2 mutation Supplementary Figure 2. Pan- Cancer subtypes defined by copy number (k=8) or somatic mutation (k=14) data show less overall concordance with tumor's tissue of origin. Each panel is a stacked bar graph (UCSC Cancer Genomics Browser proportions view) of the Pan- Cancer copy number (, 1st column) and somatic mutation (2nd column) subtype designations in individual TCGA cohort. The colon and rectum adeno cohorts are combined. The breast cohort is split into basal and non- basal subgroups. A view of the figure is under the bookmark: cancer.ucsc.edu/proj/site/hgheatmap/#?bookmark=srs2. OV: ovarian serous cystadeno. GBM: glioblastoma multiforme. BRCA: breast invasive. BLCA: bladder urothelial. KIRC: kidney clear cell. UCEC: uterine corpus endometrioid. HNSC: head and neck squamous cell. AML: acute myeloid leukemia. COADREAD: colon and rectum adeno. LUAD: lung adeno. LUSC: lung squamous cell. The Pan- Cancer subtype designations, as made by all five data types individually (RNAseq, protein expression, DNA methylation, copy number, or somatic mutations), can be viewed under the UCSC Cancer Genome Browser at cancer.ucsc.edu/proj/site/hgheatmap/#?bookmark=srs2b.
4 TCGA Dataset Group Gene Exon Seg Gistic2 Gene-level DNA Methyl Protein Somatic Mutation PARA- DIGM OS RFS Pan- Cancer Subtypes Acute myeloid leukemia Y Y Bladder urothelial Y Y Y Brain lower grade glioma Y Y Breast invasive Y Y Cervical squamous cell and Y Y Endocervical adeno Colon & rectum adeno Y Y Y Colon adeno Y Y Y Diffuse large B- cell lymphoma Esophageal Y Glioblastoma multiforme Y Y Head & neck squamous cell Y Y Y Kidney chromophobe Y Y Kidney clear cell Y Y Kidney papillary cell Y Liver hepatocellular Y Y Lung adeno Y Y Y Lung cancer Y Y Y Lung squamous cell Y Y Y Ovarian serous cystadeno Y Y Pancreatic adeno Y Y Prostate adeno Y Rectum adeno Y Y Y Sarcoma Y Skin cutaneous melanoma Y Y Stomach adeno Y Y Thyroid Y Y Uterine carcinosarcoma 1 Uterine corpus endometrioid Y Y Y
5 Supplementary Table 1. Summary of the TCGA data hosted at the UCSC Cancer Genomics Browser. Number of genomic datasets per data type and TCGA cohort are shown. The table also lists the availability of curated overall or recurrence free survival information, and Pan-Cancer subtype designations (Stuart et al, to be submitted to Nature). OS: overall survival. RFS: recurrence free survival. PARADIGM: PARADIGM pathway inference results 2.
Machine-Learning on Prediction of Inherited Genomic Susceptibility for 20 Major Cancers
Machine-Learning on Prediction of Inherited Genomic Susceptibility for 20 Major Cancers Sung-Hou Kim University of California Berkeley, CA Global Bio Conference 2017 MFDS, Seoul, Korea June 28, 2017 Cancer
More informationThe Cancer Genome Atlas Pan-cancer analysis Katherine A. Hoadley
The Cancer Genome Atlas Pan-cancer analysis Katherine A. Hoadley Department of Genetics Lineberger Comprehensive Cancer Center The University of North Carolina at Chapel Hill What is TCGA? The Cancer Genome
More informationSupplementary Figure 1: LUMP Leukocytes unmethylabon to infer tumor purity
Supplementary Figure 1: LUMP Leukocytes unmethylabon to infer tumor purity A Consistently unmethylated sites (30%) in 21 cancer types 174,696
More informationSession 4 Rebecca Poulos
The Cancer Genome Atlas (TCGA) & International Cancer Genome Consortium (ICGC) Session 4 Rebecca Poulos Prince of Wales Clinical School Introductory bioinformatics for human genomics workshop, UNSW 20
More informationSession 4 Rebecca Poulos
The Cancer Genome Atlas (TCGA) & International Cancer Genome Consortium (ICGC) Session 4 Rebecca Poulos Prince of Wales Clinical School Introductory bioinformatics for human genomics workshop, UNSW 28
More informationSupplemental Information. Integrated Genomic Analysis of the Ubiquitin. Pathway across Cancer Types
Cell Reports, Volume 23 Supplemental Information Integrated Genomic Analysis of the Ubiquitin Pathway across Zhongqi Ge, Jake S. Leighton, Yumeng Wang, Xinxin Peng, Zhongyuan Chen, Hu Chen, Yutong Sun,
More informationTCGA. The Cancer Genome Atlas
TCGA The Cancer Genome Atlas TCGA: History and Goal History: Started in 2005 by the National Cancer Institute (NCI) and the National Human Genome Research Institute (NHGRI) with $110 Million to catalogue
More informationNature Getetics: doi: /ng.3471
Supplementary Figure 1 Summary of exome sequencing data. ( a ) Exome tumor normal sample sizes for bladder cancer (BLCA), breast cancer (BRCA), carcinoid (CARC), chronic lymphocytic leukemia (CLLX), colorectal
More informationThe Cancer Genome Atlas & International Cancer Genome Consortium
The Cancer Genome Atlas & International Cancer Genome Consortium Session 3 Dr Jason Wong Prince of Wales Clinical School Introductory bioinformatics for human genomics workshop, UNSW 31 st July 2014 1
More informationThe Cancer Genome Atlas
The Cancer Genome Atlas July 14, 2011 Kenna M. Shaw, Ph.D. Deputy Director The Cancer Genome Atlas Program TCGA: Core Objectives Launched in 2006 as a pilot and expanded in 2009, the goals of TCGA are
More informationSupplementary Figure 1. Copy Number Alterations TP53 Mutation Type. C-class TP53 WT. TP53 mut. Nature Genetics: doi: /ng.
Supplementary Figure a Copy Number Alterations in M-class b TP53 Mutation Type Recurrent Copy Number Alterations 8 6 4 2 TP53 WT TP53 mut TP53-mutated samples (%) 7 6 5 4 3 2 Missense Truncating M-class
More informationDistinct cellular functional profiles in pan-cancer expression analysis of cancers with alterations in oncogenes c-myc and n-myc
Honors Theses Biology Spring 2018 Distinct cellular functional profiles in pan-cancer expression analysis of cancers with alterations in oncogenes c-myc and n-myc Anne B. Richardson Whitman College Penrose
More informationTHE UC SANTA CRUZ GENOMICS INSTITUTE. David Haussler Distinguished Professor, Biomolecular Engineering Scientific Director
THE UC SANTA CRUZ GENOMICS INSTITUTE David Haussler Distinguished Professor, Biomolecular Engineering Scientific Director April 8, 2015 OUR MISSION Unlocking the world s genomic data to accelerate medical
More informationNicholas Borcherding, Nicholas L. Bormann, Andrew Voigt, Weizhou Zhang 1-4
SOFTWARE TOOL ARTICLE TRGAted: A web tool for survival analysis using protein data in the Cancer Genome Atlas. [version 1; referees: 1 approved] Nicholas Borcherding, Nicholas L. Bormann, Andrew Voigt,
More informationIdentification of Tissue Independent Cancer Driver Genes
Identification of Tissue Independent Cancer Driver Genes Alexandros Manolakos, Idoia Ochoa, Kartik Venkat Supervisor: Olivier Gevaert Abstract Identification of genomic patterns in tumors is an important
More informationList of Available TMAs in the PRN
TMA RPCI_BrainCa01 RPCI_BrCa03 RPCI_BrCa04 RPCI_BrCa05 RPCI_BrCa0 RPCI_BrCa07 RPCI_BrCa08 RPCI_BrCa15 RPCI_BrCa1 RPCI_BrCa17 RPCI_BrCa18 RPCI_BrCa19 RPCI_BrCa20 RPCI_BrCa21 RPCI_BrCa24 RPCI_BrCa25 RPCI_BrCa2
More informationFile Name: Supplementary Information Description: Supplementary Figures and Supplementary Tables. File Name: Peer Review File Description:
File Name: Supplementary Information Description: Supplementary Figures and Supplementary Tables File Name: Peer Review File Description: Primer Name Sequence (5'-3') AT ( C) RT-PCR USP21 F 5'-TTCCCATGGCTCCTTCCACATGAT-3'
More informationSupplementary Figures
Supplementary Figures Supplementary Figure 1. Pan-cancer analysis of global and local DNA methylation variation a) Variations in global DNA methylation are shown as measured by averaging the genome-wide
More informationNature Genetics: doi: /ng Supplementary Figure 1. SEER data for male and female cancer incidence from
Supplementary Figure 1 SEER data for male and female cancer incidence from 1975 2013. (a,b) Incidence rates of oral cavity and pharynx cancer (a) and leukemia (b) are plotted, grouped by males (blue),
More informationCancer develops as a result of the accumulation of somatic
Cancer-mutation network and the number and specificity of driver mutations Jaime Iranzo a,1, Iñigo Martincorena b, and Eugene V. Koonin a,1 a National Center for Biotechnology Information, National Library
More informationUser s Manual Version 1.0
User s Manual Version 1.0 #639 Longmian Avenue, Jiangning District, Nanjing,211198,P.R.China. http://tcoa.cpu.edu.cn/ Contact us at xiaosheng.wang@cpu.edu.cn for technical issue and questions Catalogue
More informationRNA SEQUENCING AND DATA ANALYSIS
RNA SEQUENCING AND DATA ANALYSIS Length of mrna transcripts in the human genome 5,000 5,000 4,000 3,000 2,000 4,000 1,000 0 0 200 400 600 800 3,000 2,000 1,000 0 0 2,000 4,000 6,000 8,000 10,000 Length
More informationTCGA-Assembler: Pipeline for TCGA Data Downloading, Assembling, and Processing. (Supplementary Methods)
TCGA-Assembler: Pipeline for TCGA Data Downloading, Assembling, and Processing (Supplementary Methods) Yitan Zhu 1, Peng Qiu 2, Yuan Ji 1,3 * 1. Center for Biomedical Research Informatics, NorthShore University
More informationNational Cancer Statistics in Korea, 2014
National Cancer Statistics in Korea, 2014 2016. 12. 20. Korea Central Cancer Registry Cancer Incidence in Korea, 2014 National Cancer Incidence, 2014 Trends in Cancer Incidence by Sex and Year * Dark colored
More informationSupplementary Tables. Supplementary Figures
Supplementary Files for Zehir, Benayed et al. Mutational Landscape of Metastatic Cancer Revealed from Prospective Clinical Sequencing of 10,000 Patients Supplementary Tables Supplementary Table 1: Sample
More informationLinkedOmics. A Web-based platform for analyzing cancer-associated multi-dimensional data. Manual. First edition 4 April 2017 Updated on July 3, 2017
LinkedOmics A Web-based platform for analyzing cancer-associated multi-dimensional data Manual First edition 4 April 2017 Updated on July 3, 2017 LinkedOmics is a publicly available portal (http://linkedomics.org/)
More informationGenomic alterations underlie a pan-cancer metabolic shift associated with tumour hypoxia
Haider et al. Genome Biology (2016) 17:140 DOI 10.1186/s13059-016-0999-8 RESEARCH Genomic alterations underlie a pan-cancer metabolic shift associated with tumour hypoxia Syed Haider 1,2, Alan McIntyre
More informationEpidemiology in Texas 2006 Annual Report. Cancer
Epidemiology in Texas 2006 Annual Report Cancer Epidemiology in Texas 2006 Annual Report Page 94 Cancer Incidence and Mortality in Texas, 2000-2004 The Texas Department of State Health Services Texas Cancer
More informationThe Cancer Genome Atlas Clinical Explorer: a web and mobile interface for identifying clinical genomic driver associations
Lee et al. Genome Medicine (2015) 7:112 DOI 10.1186/s13073-015-0226-3 DATABASE The Cancer Genome Atlas Clinical Explorer: a web and mobile interface for identifying clinical genomic driver associations
More informationOutcomes Report: Accountability Measures and Quality Improvements
Outcomes Report: Accountability Measures and Quality Improvements The s Cancer Committee ensures that patients with cancer are treated according to the nationally accepted measures. Because we are an accredited
More informationThe 16th KJC Bioinformatics Symposium Integrative analysis identifies potential DNA methylation biomarkers for pan-cancer diagnosis and prognosis
The 16th KJC Bioinformatics Symposium Integrative analysis identifies potential DNA methylation biomarkers for pan-cancer diagnosis and prognosis Tieliu Shi tlshi@bio.ecnu.edu.cn The Center for bioinformatics
More informationLncRNA TUSC7 affects malignant tumor prognosis by regulating protein ubiquitination: a genome-wide analysis from 10,237 pancancer
Original Article LncRNA TUSC7 affects malignant tumor prognosis by regulating protein ubiquitination: a genome-wide analysis from 10,237 pancancer patients Xiaoshun Shi 1 *, Yusong Chen 2,3 *, Allen M.
More informationOutcomes Report: Accountability Measures and Quality Improvements
Outcomes Report: Accountability Measures and Quality Improvements The FH Memorial Medical Center s Cancer Committee ensures that patients with cancer are treated according to the nationally accepted measures.
More informationNature Genetics: doi: /ng Supplementary Figure 1. Workflow of CDR3 sequence assembly from RNA-seq data.
Supplementary Figure 1 Workflow of CDR3 sequence assembly from RNA-seq data. Paired-end short-read RNA-seq data were mapped to human reference genome hg19, and unmapped reads in the TCR regions were extracted
More informationSRARP and HSPB7 are epigenetically regulated gene pairs that function as tumor suppressors and predict clinical outcome in malignancies
SRARP and HSPB7 are epigenetically regulated gene pairs that function as tumor suppressors and predict clinical outcome in malignancies Ali Naderi Cancer Biology Program, University of Hawaii Cancer Center,
More informationDiscovery Dataset. PD Liver Luminal B/ Her-2+ Letrozole. PD Supraclavicular Lymph node. PD Supraclavicular Lymph node Luminal B.
Discovery Dataset 11T pt1cpn2am1(liver) 2009 2010 Liver / Her-2+ 2011 Death Letrozole CHT pt1cpn0(sn)m0 Supraclavicular Lymph node Death 12T 2003 2006 2006 2008 Anastrozole Local RT+Examestane Fulvestrant
More informationSupplementary Online Content
Supplementary Online Content Chacón MR, Enrico DH, Burton J, Waisberg FD, Videla VM. Incidence of placebo adverse events in randomized clinical trials of targeted and immunotherapy cancer drugs in the
More informationRNA SEQUENCING AND DATA ANALYSIS
RNA SEQUENCING AND DATA ANALYSIS Download slides and package http://odin.mdacc.tmc.edu/~rverhaak/package.zip http://odin.mdacc.tmc.edu/~rverhaak/rna-seqlecture.zip Overview Introduction into the topic
More informationTable S1: Analysis of Notch gene rearrangements in triple negative breast cancer subtypes
Supplemental Tables Table S1: Analysis of Notch gene rearrangements in triple negative breast cancer subtypes NOTCH1 or NOTCH2 Basal Immune Luminal AR Mesenchymal Stem Like WT 27 (87%) 24 (100%) 4 (66%)
More informationExpanded View Figures
Molecular Systems iology Tumor CNs reflect metabolic selection Nicholas Graham et al Expanded View Figures Human primary tumors CN CN characterization by unsupervised PC Human Signature Human Signature
More informationCOMPUTATIONAL OPTIMISATION OF TARGETED DNA SEQUENCING FOR CANCER DETECTION
COMPUTATIONAL OPTIMISATION OF TARGETED DNA SEQUENCING FOR CANCER DETECTION Pierre Martinez, Nicholas McGranahan, Nicolai Juul Birkbak, Marco Gerlinger, Charles Swanton* SUPPLEMENTARY INFORMATION SUPPLEMENTARY
More informationApplicant Information.
Applicant Information. Please complete this application in its entirety. The application deadline is Tuesday, December 5, 2016. Applicants will be notified of their status by early-january. Please note,
More informationAction to Cure Kidney Cancer Campaign to Fund Kidney Cancer Research
Action to Cure Kidney Cancer 2016 Campaign to Fund Kidney Cancer Research Kidney Cancer Facts 9 th most common cancer in the U.S. Until recently, 3 rd highest rate of increasing incidence of all cancers
More informationColorectal Cancer Screening
Colorectal Cancer Screening December 5, 2017 Connecticut Cancer Partnership 14th Annual Meeting Xavier Llor, M.D., PhD. Associate Professor of Medicine Co-Director, Cancer Genetics and Prevention Program
More informationOncology 101. Cancer Basics
Oncology 101 Cancer Basics What Will You Learn? What is Cancer and How Does It Develop? Cancer Diagnosis and Staging Cancer Treatment What is Cancer? Cancer is a group of more than 100 different diseases
More informationEvaluation of Ancestry Information Markers (AIMs) from Previous ACOSOG/CALGB/NCCTG Trials
Evaluation of Ancestry Information Markers (AIMs) from Previous ACOSOG/CALGB/NCCTG Trials Mary Beth Terry, PhD Department of Epidemiology Mailman School of Public Health Racial and Ethnic Disparities in
More informationThe Greater Bay Area Cancer Registry Annual Report: Incidence and Mortality Review,
The Greater Bay Area Cancer Registry Annual Report: Incidence and Mortality Review, 1988-2015 This report highlights the most current cancer statistics for the Greater Bay Area in California and includes
More informationDATA STANDARDS AND QUALITY CONTROL MEMORANDUM DSQC #
DATA STANDARDS AND QUALITY CONTROL MEMORANDUM DSQC #2006-01 CATEGORY: CLARIFICATION SUBJECT: RESCINDMENT - DSQC MEMORANDUM 2002-08 Coding Complex Morphologic Diagnoses (revised 8/02) EFFECTIVE: For Cases
More informationThe CGDS-R library. Anders Jacobsen January 17, 2018
The CGDS-R library Anders Jacobsen January 17, 2018 Contents 1 Introduction 1 2 The CGDS R interface 2 2.1 CGDS() : Create a CGDS connection object............ 2 2.2 getcancerstudies() : Retrieve a set
More informationPromoter methylation of DNA damage repair (DDR) genes in human tumor entities: RBBP8/CtIP is almost exclusively methylated in bladder cancer
Mijnes et al. Clinical Epigenetics (2018) 10:15 DOI 10.1186/s13148-018-0447-6 RESEARCH Promoter methylation of DNA damage repair (DDR) genes in human tumor entities: RBBP8/CtIP is almost exclusively methylated
More informationSolving Problems of Clustering and Classification of Cancer Diseases Based on DNA Methylation Data 1,2
APPLIED PROBLEMS Solving Problems of Clustering and Classification of Cancer Diseases Based on DNA Methylation Data 1,2 A. N. Polovinkin a, I. B. Krylov a, P. N. Druzhkov a, M. V. Ivanchenko a, I. B. Meyerov
More informationElevated RNA Editing Activity Is a Major Contributor to Transcriptomic Diversity in Tumors
Cell Reports Supplemental Information Elevated RNA Editing Activity Is a Major Contributor to Transcriptomic Diversity in s Nurit Paz-Yaacov, Lily Bazak, Ilana Buchumenski, Hagit T. Porath, Miri Danan-Gotthold,
More informationGYNplus. genetic testing for hereditary ovarian and/or uterine cancer
GYNplus genetic testing for hereditary ovarian and/or uterine cancer What Are the Causes of Hereditary Ovarian and Uterine Cancer? uterine cancer ovarian cancer sporadic 70-80% hereditary 5% Lynch syndrome
More informationSystems Pharmacology#Based Discovery of Natural Products for Precision Oncology Through Targeting Cancer Mutated Genes
Systems Pharmacology#Based Discovery of Natural Products for Precision Oncology Through Targeting Cancer Mutated Genes The Harvard community has made this article openly available. Please share how this
More informationSupplementary Information
Supplementary Information Supplementary Figure 1. Western blotting with ERβ antibodies Full blots corresponding to Fig. 2, along with replicated experiments at different time points, different batches,
More informationCancer Facts & Figures for African Americans
Cancer Facts & Figures for African Americans What is the Impact of Cancer on African Americans in Indiana? Table 12. Burden of Cancer among African Americans Indiana, 2004 2008 Average number of cases
More informationCancer prevalence. Chapter 7
Chapter 7 Cancer prevalence Prevalence measures the number of people diagnosed with cancer who are still alive. This chapter presents current and historical statistics on cancer prevalence in Ontario.
More informationEpigenetic inactivation of the CpG demethylase TET1 as a DNA
Epigenetic inactivation of the CpG demethylase TET1 as a DNA methylation feedback loop in human cancers Lili Li 1, Chen Li 1, Haitao Mao 1, Zhenfang Du 1, Wai Yee Chan 2, Paul Murray 3, Bing Luo 4, Anthony
More informationLong-term survival rate of stage I-III small cell lung cancer patients in the SEER database - application of the lognormal model
Long-term survival rate of stage I-III small cell lung cancer patients in the SEER database - application of the lognormal model Patricia Tai, MD, (Acting Director of Radiation Oncology), Edward Yu, MD,
More informationCDH1 truncating alterations were detected in all six plasmacytoid-variant bladder tumors analyzed by whole-exome sequencing.
Supplementary Figure 1 CDH1 truncating alterations were detected in all six plasmacytoid-variant bladder tumors analyzed by whole-exome sequencing. Whole-exome sequencing of six plasmacytoid-variant bladder
More informationCorrelation of gene expression and associated mutation profiles of APOBEC3A, chemosensitivity of cancer cell lines to drug treatment
Vural et al. Human Genomics (2018) 12:20 https://doi.org/10.1186/s40246-018-0150-x PRIMARY RESEARCH Open Access Correlation of gene expression and associated mutation profiles of APOBEC3A, APOBEC3B, REV1,
More informationLncMAP: Pan-cancer atlas of long noncoding RNA-mediated transcriptional network perturbations
Published online 9 January 2018 Nucleic Acids Research, 2018, Vol. 46, No. 3 1113 1123 doi: 10.1093/nar/gkx1311 LncMAP: Pan-cancer atlas of long noncoding RNA-mediated transcriptional network perturbations
More informationComprehensive analyses of tumor immunity: implications for cancer immunotherapy
Comprehensive analyses of tumor immunity: implications for cancer immunotherapy The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters.
More informationCODING TUMOUR MORPHOLOGY. Otto Visser
CODING TUMOUR MORPHOLOGY Otto Visser INTRODUCTION The morphology describes the tissue of the tumour closest to normal tissue Well differentiated tumours are closest to normal Undifferentiated tumours show
More informationThe Greater Bay Area Cancer Registry: Annual Incidence and Mortality Review,
The Greater Bay Area Cancer Registry: Annual Incidence and Mortality Review, 1988-213 This report highlights the most current cancer statistics for the Greater San Francisco Bay Area and includes newly
More informationPan-cancer analysis of expressed somatic nucleotide variants in long intergenic non-coding RNA
Pan-cancer analysis of expressed somatic nucleotide variants in long intergenic non-coding RNA Travers Ching 1,2, Lana X. Garmire 1,2 1 Molecular Biosciences and Bioengineering Graduate Program, University
More informationClustered mutations of oncogenes and tumor suppressors.
Supplementary Figure 1 Clustered mutations of oncogenes and tumor suppressors. For each oncogene (red dots) and tumor suppressor (blue dots), the number of mutations found in an intramolecular cluster
More informationCancer A Superficial Introduction
Cancer A Superficial Introduction Gabor Fichtinger, Queen s University Cancer some definitions Medical term: malignant neoplasm Class of diseases in which a group of cells display: uncontrolled growth
More informationSUPPLEMENTARY INFORMATION
Supplementary Information S1 Class I PI3K isoform alterations in cancer Alteration Type Cancer Type Frequency of Alteration Sample Size Range Class IA PIK3CA (p110α) Mutation Endometrial 10.3-53.0% 29-232
More informationAmerican Cancer Society Estimated Cancer Deaths by Sex and Age (years), 2013
American Cancer Society Estimated Cancer Deaths by Sex and Age (years), 2013 All ages Younger than 45 45 and Older Younger than 65 65 and Older All sites, men 306,920 9,370 297,550 95,980 210,940 All sites,
More informationContents. 1.5 GOPredict is robust to changes in study sets... 5
Supplementary documentation for Data integration to prioritize drugs using genomics and curated data Riku Louhimo, Marko Laakso, Denis Belitskin, Juha Klefström, Rainer Lehtonen and Sampsa Hautaniemi Faculty
More informationCancer Prevention & Control in Adolescent & Young Adult Survivors
+ Cancer Prevention & Control in Adolescent & Young Adult Survivors NCPF Workshop July 15-16, 2013 Patricia A. Ganz, MD UCLA Schools of Medicine & Public Health Jonsson Comprehensive Cancer Center + Overview
More informationNational Cancer Drugs Fund List - Approved
National Cancer Drugs Fund List - Approved DRUG Abiraterone Aflibercet Albumin Bound Paclitaxel Axitinib CDF INDICATION (EXCLUDING APPROVED CRITERIA ) Metastatic Prostate Cancer Metastatic Colorectal Cancer
More informationThe 2015 donations will be transformative:
2015 Impact Funding Allocations Cycle for Survival is determined to beat rare cancers by powering groundbreaking research. Participants and donors fight so all patients have the treatment options they
More informationFACULTY MEMBERSHIP APPLICATION Tulane Cancer Center
FACULTY MEMBERSHIP APPLICATION Tulane Cancer Center 1430 Tulane Ave., Box SL-68, New Orleans, LA 70112-2699 J. Bennett Johnston Building, Mezzanine (Floor 1A), Suite A102 (504) 988-6060, fax (504) 988-6077,
More informationPan-cancer patterns of DNA methylation
Witte et al. Genome Medicine 2014, 6:66 REVIEW Pan-cancer patterns of DNA methylation Tania Witte, Christoph Plass and Clarissa Gerhauser * Abstract The comparison of DNA methylation patterns across cancer
More informationChapter 15: Non-Head and Neck Solid Tumors in Patients with Fanconi Anemia
Chapter 15: Non-Head and Neck Solid Tumors in Patients with Fanconi Anemia Introduction Cancer is a major concern in FA patients. This chapter will describe the most common types of non-head and neck solid
More informationCancer in Ireland with estimates for
Cancer in Ireland 1994-2015 with estimates for 2015-2017: Annual Report of the National Cancer Registry 2017 Page ABBREVIATIONS 95% CI 95% confidence interval APC Annual percentage change ASR Age-standardised
More informationGYNplus: A Genetic Test for Hereditary Ovarian and/or Uterine Cancer
GYNplus: A Genetic Test for Hereditary Ovarian and/or Uterine Cancer Causes of Hereditary Ovarian and Uterine Cancer uterine cancer ovarian cancer Sporadic 75-90% Sporadic 70-80% Hereditary, 5% Lynch syndrome
More informationBRCAplus. genetic testing for hereditary breast cancer
BRCAplus genetic testing for hereditary breast cancer Developed in collaboration with Fox Chase Cancer Center and the Arcadia University Genetic Counseling Program. Causes of Hereditary Breast Cancer familial
More informationBiochemistry of Carcinogenesis. Lecture # 35 Alexander N. Koval
Biochemistry of Carcinogenesis Lecture # 35 Alexander N. Koval What is Cancer? The term "cancer" refers to a group of diseases in which cells grow and spread unrestrained throughout the body. It is difficult
More informationStratomeX Visual Analysis of Large-Scale Heterogeneous Genomics Data for Cancer Subtype Characterization
StratomeX Visual Analysis of Large-Scale Heterogeneous Genomics Data for Cancer Subtype Characterization Alexander Lex 1, Marc Streit 2, Hans-Jörg Schulz 3, Christian Partl 1, Dieter Schmalstieg 1, Peter
More informationCancer in Huron County
Cancer in Huron County 2-29 Prepared by: Erica Clark, Epidemiologist April 214 77722B London Road RR 5, Clinton, ON NM 1L 519.482.3416 F: 519.482.782 www.huronhealthunit.com Cancer Health Status Report
More informationMacmillan Publications
S1 S2 S3 S3 S3 S4 S5 S6 S7 S8 S8 S9 S10 S11 S11 S12 S13 S14 S15 S17 S18 S19 Bladder Cancer: Non-Invasive, Invasive and Advanced Bone Cancer: Primary, Secondary Colon Cancer, Anal Cancer, Rectal Cancer
More informationTitle Cancer Drug Phase Status
Clinical Trial Identifier Title Cancer Drug Phase Status NCT01164995 Study With Wee-1 Inhibitor MK-1775 and Carboplatin to Treat p53 Mutated Refractory and Resistant Ovarian Cancer Epithelial Ovarian Cancer
More informationGenomic Methods in Cancer Epigenetic Dysregulation
Genomic Methods in Cancer Epigenetic Dysregulation Clara, Lyon 2018 Jacek Majewski, Associate Professor Department of Human Genetics, McGill University Montreal, Canada A few words about my lab Genomics
More information2008 Oncology Pharmacy Preparatory Review Course Learning Objectives
2008 Oncology Pharmacy Preparatory Review Course Learning Objectives Session 1 Symptom Management, Part I, II & III Teresa A. Mays, Pharm D., BCOP Director, Investigational Drug Department San Antonio,
More informationClasificación Molecular del Cáncer de Próstata. JM Piulats
Clasificación Molecular del Cáncer de Próstata JM Piulats Introduction The Gleason score is the major method for prostate cancer tissue grading and the most important prognostic factor in this disease.
More informationGynecologic Cancers are many diseases. Gynecologic Cancers in the Age of Precision Medicine Advances in Internal Medicine. Speaker Disclosure:
Gynecologic Cancer Care in the Age of Precision Medicine Gynecologic Cancers in the Age of Precision Medicine Advances in Internal Medicine Lee-may Chen, MD Department of Obstetrics, Gynecology & Reproductive
More informationFusion Analysis of Solid Tumors Reveals Novel Rearrangements in Breast Carcinomas
Fusion Analysis of Solid Tumors Reveals Novel Rearrangements in Breast Carcinomas Igor Astsaturov Philip Ellis Jeff Swensen Zoran Gatalica David Arguello Sandeep Reddy Wafik El-Deiry Disclaimers Dr. Igor
More informationGynecologic Cancers are many diseases. Speaker Disclosure: Gynecologic Cancer Care in the Age of Precision Medicine. Controversies in Women s Health
Gynecologic Cancer Care in the Age of Precision Medicine Gynecologic Cancers in the Age of Precision Medicine Controversies in Women s Health Lee-may Chen, MD Department of Obstetrics, Gynecology & Reproductive
More informationEl contexto molecular de la sobreexpresión de PD-L1 Esther Conde Gallego, MD, PhD
El contexto molecular de la sobreexpresión de PD-L1 Esther Conde Gallego, MD, PhD Laboratorio de Dianas Terapéuticas Hospital Universitario HM Sanchinarro Madrid, Spain Contents Background PD-L1 expression
More informationPresenter: Lee Sael Collaborative work with POSTECH DM Lab. (Hwanjo Yu & Sungchul Kim) ORTHOGONAL NMF-BASED TOP-K PATIENT MUTATION PROFILE SEARCHING
인공지능최근동향워크샵 (KCC2016) 2016-06-29 Presenter: Lee Sael Collaborative work with POSTECH DM Lab. (Hwanjo Yu & Sungchul Kim) ORTHOGONAL NMF-BASED TOP-K PATIENT MUTATION PROFILE SEARCHING Ref. Publication: Kim,
More informationQué hemos aprendido hasta hoy? What have we learned so far?
Qué hemos aprendido hasta hoy? What have we learned so far? Luís Costa Hospital de Santa Maria & Instituto de Medicina Molecular Faculdade de Medicina de Lisboa Disclosures Research Grants: Amgen; Novartis;
More informationCell Reproduction Virtual Lab. Interphase Prophase Metaphase Anaphase Telophase. Name
Name THE CELL CYCLE & CANCER WEBQUEST The human body is made up of trillions of cells that continually grow, reproduce and die. How do our bodies make more cells? And, what does this process have to do
More informationEnterprise Interest Thermo Fisher Scientific / Employee
Enterprise Interest Thermo Fisher Scientific / Employee A next-generation sequencing assay to estimate tumor mutation load from FFPE research samples Fiona Hyland. Director of R&D, Bioinformatics Clinical
More informationSHN-1 Human Digestive Panel Test results
SHN-1 Human Digestive Panel Test results HN-30 tongue HN-24 salivary gland HN-12 larynx HN-28 esophagus HN-29 stomach HN-20 pancreas HN-13 liver HN-14 gall bladder HN-27-1 duodenum HN-27-2 ileum HN-27-3
More informationAnnual Flash Report (unaudited) Fiscal Year ended March 31, 2017
Annual Flash Report (unaudited) Fiscal Year ended March 31, 2017 Supplemental nation Status of Development Pipeline as of May 8, 2017. Main Status of Development Pipelines (Oncology) 1. Development Status
More informationPotentially preventable cancers among Alaska Native people
Potentially preventable cancers among Alaska Native people Sarah Nash Cancer Surveillance Director, Alaska Native Tumor Registry Diana Redwood, Ellen Provost Alaska Native Epidemiology Center Cancer is
More informationNational Cancer Registration and Analysis Service Short Report: Chemotherapy, Radiotherapy and Surgical Tumour Resections in England: (V2)
National Cancer Registration and Analysis Service Short Report: Chemotherapy, Radiotherapy and Surgical Tumour Resections in England: 13-14 (V2) Produced as part of the Cancer Research UK - Public Health
More information