Mechanisms of Disease: prediction and prevention of breast cancer--cellular and molecular interactions.

2.50
Hdl Handle:
http://hdl.handle.net/10541/76836
Title:
Mechanisms of Disease: prediction and prevention of breast cancer--cellular and molecular interactions.
Authors:
Howell, Anthony ( 0000-0002-3879-5991 ) ; Sims, Andrew H; Ong, Kai Ren; Harvie, Michelle N; Evans, D Gareth R; Clarke, Robert B
Abstract:
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.
Affiliation:
Dept of Medical Oncology, University of Manchester, Christie Hospital, Withington, UK. maria.parker@christie-tr.nwest.nhs.uk
Citation:
Mechanisms of Disease: prediction and prevention of breast cancer--cellular and molecular interactions. 2005, 2 (12):635-46 Nat Clin Pract Oncol
Journal:
Nature Clinical Practice. Oncology
Issue Date:
Dec-2005
URI:
http://hdl.handle.net/10541/76836
DOI:
10.1038/ncponc0361
PubMed ID:
16341119
Type:
Article
Language:
en
ISSN:
1743-4254
Appears in Collections:
All Christie Publications ; All Paterson Institute for Cancer Research

Full metadata record

DC FieldValue Language
dc.contributor.authorHowell, Anthony-
dc.contributor.authorSims, Andrew H-
dc.contributor.authorOng, Kai Ren-
dc.contributor.authorHarvie, Michelle N-
dc.contributor.authorEvans, D Gareth R-
dc.contributor.authorClarke, Robert B-
dc.date.accessioned2009-08-10T17:02:39Z-
dc.date.available2009-08-10T17:02:39Z-
dc.date.issued2005-12-
dc.identifier.citationMechanisms of Disease: prediction and prevention of breast cancer--cellular and molecular interactions. 2005, 2 (12):635-46 Nat Clin Pract Oncolen
dc.identifier.issn1743-4254-
dc.identifier.pmid16341119-
dc.identifier.doi10.1038/ncponc0361-
dc.identifier.urihttp://hdl.handle.net/10541/76836-
dc.description.abstractBreast 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.en
dc.language.isoenen
dc.subjectBreast Canceren
dc.subject.meshAnticarcinogenic Agents-
dc.subject.meshBiological Markers-
dc.subject.meshBreast Neoplasms-
dc.subject.meshFemale-
dc.subject.meshGene Expression Regulation, Neoplastic-
dc.subject.meshHumans-
dc.subject.meshLife Style-
dc.subject.meshMass Screening-
dc.subject.meshModels, Biological-
dc.subject.meshRisk Assessment-
dc.subject.meshRisk Factors-
dc.titleMechanisms of Disease: prediction and prevention of breast cancer--cellular and molecular interactions.en
dc.typeArticleen
dc.contributor.departmentDept of Medical Oncology, University of Manchester, Christie Hospital, Withington, UK. maria.parker@christie-tr.nwest.nhs.uken
dc.identifier.journalNature Clinical Practice. Oncologyen

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