| 11. |
- Persson, Fredrik, 1973, et al.
(author)
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Characterization of the 12q amplicons by high-resolution, oligonucleotide array CGH and expression analyses of a novel liposarcoma cell line
- 2008
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In: Cancer Letters. - : Elsevier BV. - 0304-3835. ; 260:1-2, s. 37-47
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Journal article (peer-reviewed)abstract
- The cytogenetic hallmark of well-differentiated liposarcoma (WDLS) is a giant marker chromosomes containing amplified genes from chromosome 12q13-q15. Here, we have employed SKY and high-resolution 244K oligonucleotide array CGH to characterize rearrangements and amplifications in a new WDLS cell line (GOT3) with a giant marker chromosome derived from chromosomes 12, 1, and X. The most prominent amplifications included 144 genes in 12q11-q21.2, 201 genes in 1q23.3-q44, and six genes in 13q32.1-q32.2. In the 12q amplicons, MDM2 showed the highest level of amplification followed by LYZ, HMGA2 (5'-part), TSPAN8, CNOT2, YEATS4, CDK4, GNS, HELB, and TSFM. Expression analysis of genes from the three major amplicons revealed that several highly amplified potential target genes, including HMGA2, MDM2, YEATS4, CDK4, PKP1, IPO9, and SOX21, were strongly overexpressed. Studies of cell cycle controlling proteins that interact with CDK4 and MDM2 revealed an abnormally strong expression of cyclins D1 and E. The selective high-level amplification of the 5'-part of HMGA2, including the DNA-binding domains, suggests that this gene is a major target of amplifications in WDLS. Our results also identify several novel candidate genes of potential pathogenetic and therapeutic importance for WDLS.
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| 12. |
- Simonsson, Tomas, 1965, et al.
(author)
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Reducing uncertainty in health-care resource allocation
- 2007
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In: British journal of cancer. - : Springer Science and Business Media LLC. - 0007-0920 .- 1532-1827. ; 96:12, s. 1834-8
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Journal article (peer-reviewed)abstract
- A key task for health policymakers is to optimise the outcome of health care interventions. The pricing of a new generation of cancer drugs, in combination with limited health care resources, has highlighted the need for improved methodology to estimate outcomes of different treatment options. Here we introduce new general methodology, which for the first time employs continuous hazard functions for analysis of survival data. Access to continuous hazard functions allows more precise estimations of survival outcomes for different treatment options. We illustrate the methodology by calculating outcomes for adjuvant treatment of gastrointestinal stromal tumours with imatinib mesylate, which selectively inhibits the activity of a cancer-causing enzyme and is a hallmark representative for the new generation of cancer drugs. The calculations reveal that optimal drug pricing can generate all win situations that improve drug availability to patients, make the most of public expenditure on drugs and increase pharmaceutical company gross profits. The use of continuous hazard functions for analysis of survival data may reduce uncertainty in health care resource allocation, and the methodology can be used for drug price negotiations and to investigate health care intervention thresholds. Health policy makers, pharmaceutical industry, reimbursement authorities and insurance companies, as well as clinicians and patient organisations, should find the methodology useful.
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