| 21. |
- Rickardson, Linda, et al.
(författare)
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Screening of an annotated compound library for drug activity in a resistant myeloma cell line
- 2006
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Ingår i: Cancer Chemotherapy and Pharmacology. - : Springer Science and Business Media LLC. - 0344-5704 .- 1432-0843. ; 58:6, s. 749-758
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Tidskriftsartikel (refereegranskat)abstract
- Purpose: Resistance to anticancer drugs is a major problem in chemotherapy. In order to identify drugs with selective cytotoxic activity in drug-resistant cancer cells, the annotated compound library LOPAC(1280), containing compounds from 56 pharmacological classes, was screened in the myeloma cell line RPMI 8226 and its doxorubicin-resistant subline 8226/Dox40. Methods: Cell survival was measured by the Fluorometric Microculture Cytotoxicity Assay. Results: Selective cytotoxic activity in 8226/Dox40 was obtained for 33 compounds, with the most pronounced difference observed for the glucocorticoids. A microarray analysis of the cells showed a difference in mRNA-expression for the glucocorticoid receptor suggesting potential mechanisms for the difference in glucocorticoid sensitivity. In the presence of the glucocorticoid-receptor antagonist RU486, the sensitivity to the glucocorticoids was reduced and a similar effect level in RPMI 8226 and 8226/Dox40 was achieved. Conclusion: In conclusion, screening of mechanistically annotated compounds on drug-resistant cancer cells can identify compounds with selective activity and provide a basis for the development of novel treatments of drug-resistant malignancies.
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| 22. |
- Soeria-Atmadja, Daniel, et al.
(författare)
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External cross-validation for unbiased evaluation of protein family detectors : application to allergens
- 2005
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Ingår i: Proteins. - : Wiley. - 0887-3585 .- 1097-0134. ; 61:4, s. 918-925
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Tidskriftsartikel (refereegranskat)abstract
- Key issues in protein science and computational biology are design and evaluation of algorithms aimed at detection of proteins that belong to a specific family, as defined by structural, evolutionary, or functional criteria. In this context, several validation techniques are often used to compare different parameter settings of the detector, and to subsequently select the setting that yields the smallest error rate estimate. A frequently overlooked problem associated with this approach is that this smallest error rate estimate may have a large optimistic bias. Based on computer simulations, we show that a detector's error rate estimate can be overly optimistic and propose a method to obtain unbiased performance estimates of a detector design procedure. The method is founded on an external 10-fold cross-validation (CV) loop that embeds an internal validation procedure used for parameter selection in detector design. The designed detector generated in each of the 10 iterations are evaluated on held-out examples exclusively available in the external CV iterations. Notably, the average of these 10 performance estimates is not associated with a final detector, but rather with the average performance of the design procedure used. We apply the external CV loop to the particular problem of detecting potentially allergenic proteins, using a previously reported design procedure. Unbiased performance estimates of the allergen detector design procedure are presented together with information about which algorithms and parameter settings that are most frequently selected.
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| 23. |
- Staaf, Johan, et al.
(författare)
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Segmentation-based detection of allelic imbalance and loss-of-heterozygosity in cancer cells using whole genome SNP arrays
- 2008
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Ingår i: Genome Biology. - : Springer Science and Business Media LLC. - 1474-7596 .- 1465-6906 .- 1465-6914. ; 9:9
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Tidskriftsartikel (refereegranskat)abstract
- We present a strategy for detection of loss-of-heterozygosity and allelic imbalance in cancer cells from whole genome single nucleotide polymorphism genotyping data. Using a dilution series of a tumor cell line mixed with its paired normal cell line and data generated on Affymetrix and Illumina platforms, including paired tumor-normal samples and tumors characterized by fluorescent in situ hybridization, we demonstrate a high sensitivity and specificity of the strategy for detecting both minute and gross allelic imbalances in heterogeneous tumor samples.
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| 24. |
- Wensman, Helena, et al.
(författare)
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Extensive expression of craniofacial related homeobox genes in canine mammary sarcomas
- 2009
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Ingår i: Breast Cancer Research and Treatment. - : Springer Science and Business Media LLC. - 0167-6806 .- 1573-7217. ; 118:2, s. 333-343
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Tidskriftsartikel (refereegranskat)abstract
- The global gene expression in three types of canine mammary tumors: carcinoma, fibrosarcoma and osteosarcoma were investigated by Affymetrix gene array technology. Unsupervised clustering analysis revealed a close clustering of the respective tumor types, with fibrosarcomas clustering close to the osteosarcomas and the carcinomas clustering closer to non-malignant mammary tissues (NMTs). A number of epithelial markers were expressed in both carcinomas and NMTs, whereas the sarcomas expressed genes related to mesenchymal differentiation. A comparison of the gene expression profile of the sarcomas versus carcinoma/NMTs revealed that the sarcomas, in particular the osteosarcomas, showed a striking upregulation of a panel of homeobox genes previously linked to craniofacial bone formation. In line with this finding, osteosarcomas showed an upregulation of bone morphogenetic proteins (BMPs) and of genes associated with retinoic acid signaling. Increased homeobox gene expression in sarcomas was also confirmed at the protein level by immunohistochemical analysis of tumor tissue, and in an osteosarcoma cell line after stimulation by BMP-2. These findings suggest that the development of mammary sarcomas specifically involves triggering of a set of homeobox genes related to neural crest and craniofacial bone development.
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| 25. |
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| 26. |
- Wickström, Malin, et al.
(författare)
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Pharmacological profiling of disulfiram using human tumor cell lines and human tumor cells from patients
- 2007
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Ingår i: Biochemical Pharmacology. - : Elsevier BV. - 0006-2952 .- 1356-1839. ; 73:1, s. 25-33
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Tidskriftsartikel (refereegranskat)abstract
- The thiocarbamate drug disulfiram has been used for decades in the treatment of alcohol abuse. Disulfiram induces apoptosis in a number of tumor cell lines and was recently by us proposed to act as a 26S proteasome inhibitor. In this work we characterized disulfiram in vitro with regard to tumor-type specificity, possible mechanisms of action and drug resistance and cell death in human tumor cell lines and in 78 samples of tumor cells from patients using the fluorometric microculture cytotoxicity assay and the automated fluorescence-imaging microscope ArrayScan®. Disulfiram induced cytotoxicity in a biphasic pattern in both cell lines and patient tumor cells. Disulfiram induced apoptosis as measured by cell membrane permeability, nuclear fragmentation/condensation and caspase-3/7 activation using high content screening assays. For many of the cell lines tested disulfiram was active in sub-micromolar concentrations. When comparing the log IC50 patterns with other cytotoxic agents, disulfiram showed low correlation (R < 0.5) with all drugs except lactacystin (R = 0.69), a known proteasome inhibitor, indicating that the two substances may share mechanistic pathways. Disulfiram was more active in hematological than in solid tumor samples, but substantial activity was observed in carcinomas of the ovary and the breast and in non-small cell lung cancer. Disulfiram also displayed higher cytotoxic effect in cells from chronic lymphocytic leukemia than in normal lymphocytes (p < 0.05), which may indicate some tumor selectivity. These results together with large clinical experience and relatively mild side effects encourage clinical studies of disulfiram as an anti-cancer agent.
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