Integrated Genomics of Breast Cancer

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Our research program is focusing on the molecular biology of breast and ovarian cancer with emphasis on identification of genotypes and gene expression profiles contributing to elevated cancer risk, radiation sensitivity, tumor aggressiveness and therapy resistance.

The hypothesis is that both the geno- and phenotype of the tumor as well as the patients own genotype (the genetic “makeup” of the patient constituted by both high and low penetrance genes) play a role in breast and ovarian cancer risk, in the type of cancer developed, the disease course and the response to treatment.

The results may be used to identify high-risk individuals that may benefit from preventing strategies, and to individualize the treatment of patients with respect to choice of drugs as well as to dose and duration. This may give a better therapeutic effect and less adverse reactions in the individual patient.

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News & events

JBI Award for for "Best Paper in Translational Bioinformatics" to scientists from Department of Genetics
Sep 1, 2010

Torsten Waldminghaus finds that surprising results of ChIP on Chip experiments are often false positives
Aug 31, 2010

Edgar Rivedal elected Chairperson of the IARC
Aug 30, 2010

Symposium: Genomic and Genetic Aspects for human health and disease
Oslo, September 20-22, 2010
Aug 30, 2010

Focus on article from Børresen-Dale's group in "Nature Reviews Cancer"
Aug 25, 2010

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Latest publications

Anne-Lise Børresen-Dale

Haakensen VD, Biong M, Lingjaerde OC, Holmen MM, Frantzen JO, Chen Y, Navjord D, Romundstad L, Luders T, Bukholm IK, Solvang HK, Kristensen VN, Ursin G, Borresen-Dale AL, Helland A
Expression levels of uridine 5'-diphospho-glucuronosyltransferase genes in breast tissue from healthy women are associated with mammographic density
Breast Cancer Res, 12 (4), R65 (in press)
PubMed 20799965

Moestue SA, Borgan E, Huuse EM, Lindholm EM, Sitter B, Børresen-Dale AL, Engebraaten O, Mælandsmo GM, Gribbestad IS (2010)
Distinct choline metabolic profiles are associated with differences in gene expression for basal-like and luminal-like breast cancer xenograft models
BMC Cancer, 10 (1), 433
PubMed 20716336

Sørlie T, Borgan E, Myhre S, Vollan HK, Russnes H, Zhao X, Nilsen G, Lingjaerde OC, Børresen-Dale AL, Rødland E (2010)
The importance of gene-centring microarray data
Lancet Oncol, 11 (8), 719-20; author reply 720-1
PubMed 20688275

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