Characterization of genetic alterations in ovarian cancer associated with chemotherapy response
Abstract
Ovarian cancer is the most lethal of all gynecological malignancies, and exhibit an overall fiveyear
survival rate of only 48% in Sweden. The high mortality in ovarian cancer is largely due to
late diagnosis and chemotherapy resistance. Finding predictive markers of chemotherapy
response and elucidating the resistance mechanisms would help to individualize and improve
treatment of ovarian cancer patients.
With the aim to explore genetic alterations and to search for potential predictive biomarkers of
chemotherapy response in ovarian cancer patients, a total of 133 epithelial ovarian carcinomas
were investigated genetically. Initially, early-stage tumors of mixed histology from patients treated
with carboplatin were analyzed with both metaphase comparative genomic hybridization (CGH)
and array CGH. The main finding was that gain in chromosome arm 1q, and more specifically
1q25.1-41, was significantly associated with carboplatin resistance. Additionally, differences in the
genetic alteration patterns were detected between the three histologic subtypes serous, mucinous
and clear cell. Subsequently, stage III serous ovarian tumors from patients treated with
combination therapy paclitaxel/carboplatin were analyzed with array CGH and quantitative realtime
polymerase chain reaction (QPCR). Gain in 3q26.2 and losses in the regions 6q11.2-12,
9p22.3-21.3 and Xp22.2-11.1 were found significantly more frequent in the resistant cases than in
the sensitive cases. When examining the gene expression of four genes located in these genomic
regions, the EVI1 gene expression differed between samples with gain versus without gain, and
exhibited higher expression in the gain group. Furthermore, based on the significant genomic
regions, a decision tree was generated and loss in regions 6q11.2-12, Xp11.3 and Xp22.13 was the
best combination to classify the tumor material according to chemotherapy response. Next, a
patent material treated with combination therapy docetaxel/carboplatin and consisting of
advanced stage serous ovarian tumors was analyzed with array CGH. Losses in 8p23.3-23.1 and
8p22 were significantly associated with sensitivity, and gains in six regions in chromosome 9
(9p13.2-13.1, 9q21.2-21.32, 9q21.33, 9q22.2-22.31, 9q22.32-22.33 and 9q33.1-34.11) were
significantly associated with resistance. Interestingly, this was a different set of genetic alterations
than the paclitaxel/carboplatin material generated, although the two materials exhibit similar
clinical features and are given similar therapies. Altogether, specific genetic alterations associated
with differential chemotherapy response and patient outcome were identified in these studies.
The different chemotherapies were associated with different genetic alterations, which might lead to the establishment of separate predictive biomarkers.
Parts of work
I: Osterberg L, Levan K, Partheen K, Helou K, Horvath G
Cytogenetic analysis of carboplatin resistance in early-stage epithelial ovarian
carcinoma.::PMID::16337857 II: Osterberg L, Levan K, Partheen K, Staaf J, Sundfeldt K, Horvath G
High-resolution genomic profiling of carboplatin resistance in early-stage epithelial
ovarian carcinoma.
Cytogenetic and Genome Research (2009) III: Osterberg L, Levan K, Partheen K, Delle U, Olsson B, Sundfeldt K, Horvath G
Potential predictive markers of chemotherapy resistance in stage III serous ovarian
adenocarcinomas.
Manuscript , submitted IV: Osterberg L, Levan K, Partheen K, Delle U, Olsson B, Sundfeldt K, Horvath G
High-resolution array CGH reveals specific copy number alterations associated
with docetaxel/carboplatin response in ovarian carcinomas.
Manuscript
Degree
Doctor of Philosophy (Medicine)
University
University of Gothenburg. Sahlgrenska Academy
Institution
Institute of Clincial Sciences. Department of Oncology
Disputation
Fredagen den 29 maj 2009, kl. 09.00, Hörsal Arvid Carlsson, Academicum, Medicinaregatan 3, Göteborg
Date of defence
2009-05-29
lovisa.osterberg@gu.se
Date
2009-05-13Author
Österberg, Lovisa
Keywords
Oncology
ovarian cancer
chemotherapy resistance
predictive markers
Publication type
Doctoral thesis
ISBN
978-91-628-7762-0
Language
eng