Linked Life Data

16341119

Source:http://linkedlifedata.com/resource/pubmed/id/16341119

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
12
pubmed:dateCreated
2005-12-12
pubmed:abstractText
Breast cancer is the most prevalent female cancer in the world and its incidence is increasing, largely because of the Western lifestyle. There is a need, not only to predict women who will develop the disease, but also to apply drug and lifestyle measures in order to prevent the disease. Current risk prediction models are based on combinations of risk factors and have good predictive but low discriminatory power. New risk prediction methods might come from examination of single nucleotide polymorphisms in several genes or from an increased knowledge of the molecular and cellular biology of the breast, particularly with respect to aberrant gene expression and protein synthesis. These methods might also determine new targets for preventive agents and lifestyle change. Many potential preventive measures are available and some have been successful. New approaches are required, however, not only to prevent the disease but to devise methods for their assessment that do not require very large and expensive clinical trials.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Dec
pubmed:issn
1743-4254
pubmed:author
pubmed:issnType
Print
pubmed:volume
2
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
635-46
pubmed:meshHeading
pubmed:year
2005
pubmed:articleTitle
Mechanisms of Disease: prediction and prevention of breast cancer--cellular and molecular interactions.
pubmed:affiliation
Dept of Medical Oncology, University of Manchester, Christie Hospital, Withington, UK. maria.parker@christie-tr.nwest.nhs.uk
pubmed:publicationType
Journal Article, Review