PMID- 17058024
OWN - NLM
STAT- MEDLINE
DCOM- 20071127
LR  - 20151119
IS  - 0167-6806 (Print)
IS  - 0167-6806 (Linking)
VI  - 104
IP  - 2
DP  - 2007 Aug
TI  - A multigenic approach to predict breast cancer risk.
PG  - 159-64
AB  - In the biology of complex disorders, such as breast cancer, interactions among 
      genetic factors may play an important role and theoretical considerations suggest 
      that gene-gene interactions are quite common in such diseases. In this 
      case-control study with 500 breast cancer patients and 500 population-based 
      healthy sex- and age-matched control subjects, we applied a multigenic approach 
      to examine the associations with breast cancer risk of a comprehensive panel of 
      16 selected polymorphisms in a variety of pathways using classification tree 
      analysis (CART). Overall, 79.6% of all breast cancer patients and 80.6% of all 
      control subjects were correctly classified on the basis of their individual 
      genetic profile by the classification procedure. CART analysis of the data 
      identified the heterozygous vascular endothelial growth factor (VEGF) and matrix 
      metalloproteinase 3 (MMP3) genotype and homozygous cyclooxygenase-2 (PTGS2) 
      mutant as the initial splits, indicating that these genotypes exert the greatest 
      impact on the classification process. Breast cancer patients were primarily 
      indicated by 30 distinct genetic profiles. The odds ratio of these genetic risk 
      profiles for breast cancer was 16.12 (95% confidence interval 11.09-23.49). Five 
      genetic profiles formed homogenous breast cancer subgroups and represented 
      highest risk genetic profiles. This is the first comprehensive study to use a 
      multigenic analysis for breast cancer and the data suggest that individuals with 
      distinct genetic profiles are at an increased risk for breast cancer, confirming 
      the importance of taking a multigenic approach for risk assessment.
FAU - Gerger, Armin
AU  - Gerger A
AD  - Department of Internal Medicine, Division of Oncology, Medical University Graz, 
      Auenbruggerplatz 15, 8036 Graz, Austria. armin.gerger@klinikum-graz.at
FAU - Langsenlehner, Uwe
AU  - Langsenlehner U
FAU - Renner, Wilfried
AU  - Renner W
FAU - Weitzer, Werner
AU  - Weitzer W
FAU - Eder, Tanja
AU  - Eder T
FAU - Yazdani-Biuki, Babak
AU  - Yazdani-Biuki B
FAU - Hofmann, Gunter
AU  - Hofmann G
FAU - Samonigg, Hellmut
AU  - Samonigg H
FAU - Krippl, Peter
AU  - Krippl P
LA  - eng
PT  - Comparative Study
PT  - Journal Article
DEP - 20061021
PL  - Netherlands
TA  - Breast Cancer Res Treat
JT  - Breast cancer research and treatment
JID - 8111104
RN  - 0 (Biomarkers, Tumor)
SB  - IM
MH  - Biomarkers, Tumor/*genetics
MH  - Breast/metabolism
MH  - Breast Neoplasms/*genetics
MH  - Case-Control Studies
MH  - Female
MH  - Genetic Predisposition to Disease
MH  - Genotype
MH  - Humans
MH  - *Polymorphism, Genetic
MH  - Risk Factors
EDAT- 2006/10/24 09:00
MHDA- 2007/12/06 09:00
CRDT- 2006/10/24 09:00
PHST- 2006/08/04 00:00 [received]
PHST- 2006/09/14 00:00 [accepted]
PHST- 2006/10/24 09:00 [pubmed]
PHST- 2007/12/06 09:00 [medline]
PHST- 2006/10/24 09:00 [entrez]
AID - 10.1007/s10549-006-9408-4 [doi]
PST - ppublish
SO  - Breast Cancer Res Treat. 2007 Aug;104(2):159-64. doi: 10.1007/s10549-006-9408-4. 
      Epub 2006 Oct 21.