Grant Details
Grant Number: |
5R21CA087691-02 Interpret this number |
Primary Investigator: |
Haber, Daniel |
Organization: |
Massachusetts General Hospital |
Project Title: |
Mutational Analysis of P53 Related Genes |
Fiscal Year: |
2001 |
Abstract
DESCRIPTION: (Applicant's Description)
Germline mutations in p53 account for 60-70 percents of cases of Li-Fraumeni
Syndrome (LFS), a familial cancer phenotype associated with breast cancer,
sarcomas and other tumors. We hypothesize that LFS cases without p53 mutations
may harbor mutations in other components of this DNA damage response pathway.
Recent molecular studies have identified kinases that are involved in the
phosphorylation and activation of p53, as well as other genes that modulate
p53 stability, and its ability to mediate apoptosis. Cellular homologs of p53
have recently been identified, as have mammalian homologs of yeast cell cycle
checkpoint genes that are critical to the DNA damage response pathway. The
small size of LFS families makes classical linkage analysis difficult, and we
therefore propose a candidate gene approach to identify the additional gene
(s) responsible for LFS, using high throughput mutational detection
techniques. We note that such gene (s) may be involved in both genetic
predisposition to cancer and somatic tumorigenesis, but as for BRCAl and
BRCA2, absence of somatic mutations does not exclude the possibility of
gennline mutations, requiring mutational analysis both in germline and tumor
specimens. We propose a phased approach: initially we will undertake
mutational analysis in a highly selected cohort of patients with LFS or
variant multi-cancer syndromes that do not have mutations in p53. The absence
of p53 mutations in such families enhances the likelihood of detecting
mutations in related genes required for genomic stability. As a second step,
we will expand the mutational analysis to subsets of the general population at
high risk for breast cancer, but without the extraordinary risk factors
demonstrated by LFS and related families. Finally, we will examine a
collection of tumor cell lines for the frequency of mutations in these
candidate genes.
Publications
None