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Julinor Bacani, M.D.,
Ph.D.
Ph.D. Candidate, Laboratory Medicine and Pathobiology, University of Toronto
Anatomical Pathology Resident, University of British Columbia
Samuel Lunenfeld Research Institute - Mount Sinai Hospital
600 University Avenue, Room 989
Toronto, Ontario Canada M5G 1X5
Frequency of E-cadherin (cdh1) and mismatch
repair (MMR) germline mutations in young gastric cancers
Gastric carcinoma (GC) is a major cause of cancer death in Canada due to its
late stage at presentation. Improvements in early detection, diagnosis and
treatment of GC are needed. Currently, a multi-factorial model is accepted
with hereditary and environmental factors playing various roles. However,
the relative contributions of these factors remain unclear. Furthermore, GC
is heterogeneous and classification needs to better reflect molecular
alterations and patient outcomes.
The main objectives of
this study are: 1) to characterize important genetic factors in a
well-defined population-based cohort of young GC and 2) to determine whether
molecular profiling can improve GC classification and prognostication. The
frequencies of germline mutations in CDH1/E-cadherin and mismatch repair/MMR
genes in the population are not known. CDH1 germline mutations are
important in hereditary diffuse GC families and will be estimated by single
strand conformation polymorphism and sequencing. Germline mutations in MMR
genes characterize hereditary nonpolyposis colon cancer syndrome leading to
microsatellite instability/MSI in young colon cancer and young GC patients.
Potential mechanisms
involved in the MSI positive cases will be investigated using
immunohistochemistry for known MMR proteins, methylation-specific PCR for
epigenetic silencing, and mutational analyses for genetic inactivation.
Finally, high-throughput tissue microarrays will be used to examine the
potential of immunohistochemical markers in GC classification and
prognostication.
By studying important
genetic factors, we will ascertain not only their relative contribution but
also their putative interactions in GC. The data derived from this
population-based study, may be useful in developing more effective 1)
policies to detect and screen patients at higher risk of GC and 2)
treatments that tailor to specific molecular alterations in GC. |