University of South Carolina  DEPARTMENT GRAD PROGRAM SEMINARS UNIVERSITY

 
Dr Phillip J  Buckhaults

Ph.D. University of Georgia

Post-doctoral Fellowship
Johns Hopkins University, Baltimore
 

Assistant Professor of Pathology and Microbiology

Director, South Carolina Cancer Tissue Bank
Senior Member, South Carolina Cancer Center

  

 

Office: 803-434-1333
Lab: 803-434-2067
Fax: 803-434-3795
Cell: 803-466-7343
E-mail:
phillipb
@gw.med.sc.edu

Cancer Genetics Lab
South Carolina Cancer Center
14 Richland Medical Park
Suite 500
Columbia, SC 29203


 
 
The goal of our laboratory is to elucidate the molecular events associated with the progression of colon cancer, with particular focus on changes in gene expression that occur during transitions between stages of significantly different probabilities of good clinical outcome. Two such transitions are of great interest, and the necessary reagents are now available to us for study. First, we seek to identify alterations in gene expression that are diagnostic for the transition from node-negative (T3N0M0) to node-positive (T3N2M0), two states with very significantly different clinical courses and treatment regimens. Once identified, these diagnostic genes will then be assessed for their predictive value in a retrospective analysis of a large set of tumors for which node status and outcome data is available. The gene expression signature will allow for a rapid and more sensitive identification of node-positive tumors, and elucidate the molecular mechanism of the transition between these two clinically important biological states. Second, we seek to identify alterations in gene expression signature that accompany loss of heterozygosity along chromosomal arms 8p and 18q, and to use this data to identify tumor suppressors located in these regions. Patients with mismatch repair proficient tumors that have retained both arms have a 100% 5-year survival rate, while those patients with LOH at both locations have only a 40% 5-year survival rate. LOH at these two locations is therefore a more accurate prognostic indicator than is histopathologic grade. However, LOH is tedious and technically demanding, and not practical for clinical deployment. Measurements of the expression levels of a small, highly informative subset of genes is a reasonable surrogate, and will allow for the identification of high-risk early stage tumors for which adjuvant therapy should be indicated. SAGE is a method of gene expression analysis that will allow the identification of unknown genes. Our analysis of alterations in expression of tumors with and without LOH may reveal unknown genes mapping to previously identified minimally lost regions, which are candidate tumor suppressor genes to be evaluated for mutations.
 


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