Linked Life Data

8282454

Source:http://linkedlifedata.com/resource/pubmed/id/8282454

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
5
pubmed:dateCreated
1994-2-17
pubmed:abstractText
The goal of the present study is to evaluate HDL-cholesterol (HDL-C) as a marker of breast cancer (BC) risk. It is based on several epidemiological and biological studies and is justified by the rising incidence of breast cancer throughout the world. A hospital-based study on host-related risk factors and breast cancer, conducted with similar methods in northern Italy and southern France, provided the biological data, the information on the established BC risk factors and on nutrition for 307 cases and 329 controls. This data set allowed for a thorough analysis of the relationship of HDL-C with established risk factors for BC and also of its association with BC at the time of diagnosis. Most of our findings on HDL-C determinants in the control sample are comparable to previous studies. The BC risk factors associated with reproductive life correlate with HDL-C levels: the protective factors are associated with a lower level of HDL-C and inversely. The same is true for nutritional factors such as alcohol. For these determinants, the trend is similar for cases and controls, and HDL-C level appears to be related to oestrogen metabolism. Thus it may be considered as a marker of BC risk. Our results indicate that high HDL-C levels should be especially checked in women aged > or = 60 years, or in premenopausal women presenting a low BMI, or in postmenopausal women with an early menopause.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Oct
pubmed:issn
0300-5771
pubmed:author
pubmed:issnType
Print
pubmed:volume
22
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
772-80
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
1993
pubmed:articleTitle
HDL-cholesterol and breast cancer: a joint study in northern Italy and southern France.
pubmed:affiliation
Istituto di Statistica Medica e Biometria, University of Milan, Italy.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't