Maxwell Lee National Cancer Institute Center for Cancer Research High-dimension Data Analysis Group March 19, 2014 Integrated Studies Of Breast, Esophageal, And Gastric Cancers Using High Throughput Technologies And Computational Analyses
Collaborators
Breast cancer 1.Delineating genetic alterations for tumor progression in the MCF10A series of cell lines. 2.Identifying novel oncogenes and functional studies 3.Predicting clinical outcome using DNA methylation and gene expression signatures Esophageal and gastric cancers 1.Microarray data analyses 2.Whole genome sequencing data analyses Outline Of The Talk
1.Delineating genetic alterations for tumor progression in the MCF10A series of cell lines. 2.Identifying novel oncogenes and functional studies 3.Predicting clinical outcome using DNA methylation and gene expression signatures Part 1 Breast Cancer
Modified Wellings-Jensen Model of Breast Cancer Evolution
Breast Cancer Progression Models of the MCG10A Series of Cell Lines
DNA Copy Number Alterations in MCF10A Series of Cells Detected, Using Affymetrix 500K SNP Arrays
MCY Amplification in MCF10A Series of Cells Detected by DNA Copy Number Analysis Using SNP Arrays
CDKN2A/CDKN2B Deletions in MFC10A Series of Cells Detected by DNA Copy Number Analysis Using SNP Arrays
PIK3CA Mutation in MCF10CA1h and MCF10CA1a Cells
DNA Copy Number Alteratio ns in Primary Breast Tumors Detected with SNP Arrays
Focal Amplification Detected in Primary Breast Tumors
Focal Amplification of TBL1XR1 in Breast Tumors
Frequent Over-expression of TBL1KR1 in Primary Breast Tumors Using Tissue Microarray (TMA)
TBL1CR1-shRNA Knockdown in MCF10CA1h (M3) Suppresses in Vivo Tumor Growth
The PBCS included 2386 cases and 2502 controls They resided in Warsaw, Poland from Median follow-up: 8 years 208 PBCS tumors with Illumina HumanRef-8 v2 Expression data 226 PBCS tumors with Illumina Human Methylation27 data In collaboration with Mark Sherman, Jonine Figueroa, Paul Meltzer, Sean Davis, and Melissa Troester The Polish Breast Cancer Study (PBCS)
An Algorithm for Methylation and Expression Index (MEI)
Polish dataset: K-M survival based on MEI
Polish dataset: K-M survival using MEI for ER+ and ER- samples
Validation: K-M survival using MEI for ER+ samples
1.Microarray data analyses 2.Whole genome sequencing data analyses In collaboration with Phil Taylor, Nan Hu, Alisa Goldstein Part 2 Esophageal And Gastric Cancers
Clustering of ESCC and Gastric Cancers Using the Affymetrix U133 Gene Expression Data
Anatomy of Esophageal Cancer and Gastric Cancer
A shared susceptibility locus in PLCE1 at 10q23 for gastric adenocarcinoma and esophageal squamous cell carcinoma
A shared susceptibility locus in PLCE1 at 10q23 for gastic adenocarcinom a and esophageal squamous cell carcinoma
4 pairs of ESCC and blood 4 pairs of gastric non-cardia cancer and blood 7 pairs of gastric cardia cancer and blood Analyses of Whole Genome Sequencing (WGS) Data Generated By The Complete Genomics Inc.
Circos Plot of WGS data from a Gastric Cardia Cancer: Somatic SVs, CNAs, and SNVs
Somatic Structural Variation s (SVs) in ESCC and Gastric Cancer
MACROD2 Exon 6 was Frequently Deleted in Gastric Cancer
Mutation Substitution Patterns 1
Mutation Substitution Patterns 2
Collaborators
Dr. Robert Wiltrout Dr. Glenn Merlino