analysis of high grade prostate cancer microarray data
TRANSCRIPT
Analysis of High Grade Prostate Cancer Microarray Data
BIN714 Final ProjectGungor Budak
June 4, 2015
Instructor: Assoc. Prof. Dr. Yesim AYDIN SON
Outline
❏ Introduction & background
❏ Data description
❏ Experimental design
❏ Methods
❏ Results
❏ Conclusion
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Introduction & Background
❏ In males, Below bladder and in front of
rectum
❏ In males, Contains cells that produce semen
Image: www.roboticoncology.com 3
Introduction & Background
❏ T2 stage
❏ only in prostate
❏ large enough in DRE
❏ T4 stage
❏ fixed or growing into
nearby structures
❏ N1
❏ spread to lymph nodes
❏ M1
❏ distant metastasisImage: www.cancerrecovery.org.uk
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Data Description
Goal
Identification of diagnostic markers and
targets for novel therapeutic drugs for high
grade prostate cancer (PC) (Shuin et al., 2010)
ID Organism Type Platform Sample # (Can.)
Sample # (Nor.)
GSE45016 Homo sapiens
Expression profiling by array
Affymetrix Human Genome U133 Plus 2.0 Array
10 1
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Experimental Design
❏ 10 frozen specimens with high PSA1 levels
and high Gleason scores (8-9), staged T2
to T4 with or without N1 and M1
❏ Normal prostate (NP) epithelial cells from
five non-prostate cancer (BPH2) patients
(males & mixed)1 Prostate-specific antigen2 Benign prostatic hyperplasia
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Methods
❏ Data analyzed with GEO2R tool
❏ Log transformation applied
❏ eBayes feature selection
❏ Results (diff. expressed genes) filtered
❏ p-value < 0.05
❏ LFC > 2
❏ Only characterized genes (No LOC123456789)
❏ 1166 genes collected
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Methods
❏ PC related genes collected
❏ KEGG Diseases (12)
❏ The GeneCards Human Gene Database (20)
❏ Dong JT, 2006 (30)
❏ DAVID web service used for functional
annotation (Dennis Jr et al., 2013)
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Methods
❏ PCSF network generated (Tuncbag et al., 2013)
❏ LFC as “prize”
❏ Cost per edge, penalty per fail to include a node
❏ iRefWeb ref. interactome used (Wodak et al., 2010)
❏ Down to 549 genes
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Results: Network Analysis
PC Genes Steiner Nodes Steiner PC Nodes
5/47 98/549 PTEN, TP53, BRCA1, GSTP1, ELAC2
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Results: PTEN
❏ Phosphatase and tensin homolog
❏ Many frameshift
deletions
❏ Metastasis
❏ Best studied in PC
Vishwanatha et al., 2012, J Carcinog13
Results: TP53
❏ Tumor protein p53
❏ Commonly single
point mutations
❏ Most frequently
mutated in human
cancerBrosh & Rotter, 2009, Nature Reviews Cancer
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Conclusion
❏ Analyses revealed PC related genes
PTEN & TP53
❏ Improvements
❏ More complete interactome
❏ Better experimental design
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