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Novel biomarkers prediciting long-term survival in breast cancer.

Abstract
Breast cancer is the most common malignancy among women, affecting over a million women worldwide every year. During the last decades, there has been a dramatic increase in the survival rates due to earlier detection and improved treatment. Breast cancer treatment today is getting more and more targeted, but still, many patients are being overtreated, and some undertreated. Therefore, the need for additional complementary prognostic markers is urgent. In this thesis, molecular differences in tumours from breast cancer survivors and deceased patients have been explored on the DNA, RNA and protein levels. The major findings include differences on the genomic level between lymph node-negative 10-year survivors and deceased patients; gains at 4q, 5q31-5qter, 6q12-6q16 and 12q14-12q22 and losses at 8p21.2-8p21.3, 8p23.1-8p23.2, 17p, 18p, Xp21.3, Xp22.31-Xp22.33 and Xq were significantly more frequent in tumours from deceased patients compared to tumours from 10-year survivors. Gains at 1q25.2-1q25.3 and 1q31.3-1q41 were more common in tumours from 10-year survivors. In addition, a gene signature consisting of 51 genes was generated. The expression profile of these 51 genes predicted clinical outcome in our material of node-negative patients as well as in an external tumour material with good accuracy. The protein expression of four genes (ADIPOR1, ADORA1, BTG2 and CD46) that differed between the survival groups, both in DNA copy number alterations and in gene expression, was explored in a larger independent cohort of breast cancer patients. The protein expression of BTG2 significantly more frequent in tumours from 5-year survivors compared to tumours from deceased patients. This finding indicates expression of BTG2 as a possible prognostic biomarker. Furthermore, the prognostic biomarkers found in this work, may in the future facilitate the prognosis as well as predict course of treatment for breast cancer patients, following extensive validation.
Parts of work
I Karlsson E., Danielsson A., Delle U., Olsson B., Karlsson P., Helou K. Chromosomal changes associated with clinical outcome in lymph node-negative breast cancer. Cancer Genetics and Cytogenetics 2007;172(2):139-46 ::pmid::17213022
 
II Karlsson E., Delle U., Danielsson A., Parris T., Olsson B., Karlsson P., Helou K. High-resolution genomic profiling to predict 10-year survival in node-negative breast cancer. Manuscript, 2009
 
III Karlsson E., Delle U., Danielsson A., Olsson B., Abel F., Karlsson P., Helou K. Gene expression variation to predict 10-year survival in lymph-node-negative breast cancer. BMC Cancer, 2008;8(1):254 ::pmid::18778486
 
IV Karlsson E., Kovaks A., Delle U., Lövgren K., Danielsson A., Parris T., Brennan D., Jirström K., Karlsson P., Helou K. Up-regulation of cell cycle arrest protein BTG2 correlates with increased survival in breast cancer. Manuscript, 2009
 
Degree
Doctor of Philosophy (Medicine)
University
University of Gothenburg. Sahlgrenska Academy
Institution
Institute of Clincial Sciences. Department of Oncology
Disputation
Fredagen den 5 juni 2009, kl. 13.00, i hörsal Ivan Ivarsson, Medicinaregatan 3B, Göteborg
Date of defence
2009-06-05
E-mail
elin.karlsson@gu.se
URI
http://hdl.handle.net/2077/20043
Collections
  • Doctoral Theses / Doktorsavhandlingar Institutionen för kliniska vetenskaper
  • Doctoral Theses from Sahlgrenska Academy
  • Doctoral Theses from University of Gothenburg / Doktorsavhandlingar från Göteborgs universitet
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Thesis frame (3.865Mb)
Abstract (111.5Kb)
Date
2009-05-15
Author
Karlsson, Elin
Keywords
breast cancer
prognostic markers
Publication type
Doctoral thesis
ISBN
978-91-628-7787-3
Language
eng
Metadata
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