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Glioblastoma Multiforme (GBM)

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Glioblastoma Multiforme (GBM) Subtype Analysis. Lance Parsons. Introduction. Clinicians (meat readers) determine histological categorization: ... – PowerPoint PPT presentation

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Title: Glioblastoma Multiforme (GBM)


1
Glioblastoma Multiforme (GBM) Subtype Analysis
  • Lance Parsons

2
Introduction
  • Clinicians (meat readers) determine histological
    categorization Astrocytoma, Oligodendrocytoma,
    Mixed, or Glioblastoma multiforme (GBM)
  • GBM patients have poor prognosis, but some surive
    unexpectly long.
  • Molecularly and clinically distinct subtypes of
    GBMs

3
Incorporating Biological Knowledge
  • Tiers of classification can assist with
    discovery of downstream groups
  • Glioma Classification
  • Histological Level
  • Clinical Level (Survival, Age, etc)
  • Transcriptiome (Gene Expression Level)
  • Gene Classification
  • GO Hierarchy
  • Pathway Databases
  • Expression Level (Microarray Data)

4
Age and Survival
  • Young patients show greater variability in
    survival
  • Use this level of the hierarchy to assist in
    downstream analysis.
  • Very simple method is to use only the Young
    samples and find the groups within that set of
    samples.

5
Normalization
  • Making the numbers comparable
  • Log Transform Equalize variance, lineraize data
  • Median Center Arrays Correct for differences
    between arrays
  • Standardize to unit variance?

6
Noise Filter
  • Removing noise from the dataset
  • Affymetrix software does some of this with
    Present/Absent calls
  • Fold-change filter?
  • Other methods?

7
Feature (Gene) Selection
  • Find genes highly correlated with patient
    survival, within young sample group.
  • Cox Proportional Hazards model
  • Regression model that accounts for censored
    data
  • Permutation test can improve robustness
  • Simple Cox selects 39 genes (permutation pending)

8
Exploration of Results
  • The genes we select are statistically significant
    (as dictated by our Cox testing methodology), but
    they may not be biologically or clinically
    significant.
  • Initial exploration through hierarchical
    clustering.

9
Clinical Validation
  • Kaplan-Meier curves fit the two groups to a
    survival model

10
Biological Validation
  • file///C/Documents20and20Settings/Lance/My20D
    ocuments/Research/projects/HenryFord/HFAnalysis-GB
    M-Young_annotations.html
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