| 1. |
- Carneiro, Ana, et al.
(författare)
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Indistinguishable genomic profiles and shared prognostic markers in undifferentiated pleomorphic sarcoma and leiomyosarcoma: different sides of a single coin?
- 2009
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Ingår i: Laboratory Investigation. - : Elsevier BV. - 1530-0307 .- 0023-6837. ; 89, s. 668-675
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Tidskriftsartikel (refereegranskat)abstract
- Soft tissue sarcoma (STS) diagnostics and prognostics are challenging, particularly in highly malignant and pleomorphic subtypes such as undifferentiated pleomorphic sarcoma (UPS) and leiomyosarcoma (LMS). We applied 32K BAC arrays and gene expression profiling to 18 extremity soft tissue LMS and 31 extremity soft tissue UPS with the aim of identifying molecular subtype signatures and genomic prognostic markers. Both the gains/losses and gene expression signatures revealed striking similarities between UPS and LMS, which were indistinguishable using unsupervised hierarchical cluster analysis and significance analysis for microarrays. Gene expression analysis revealed just nine genes, among them tropomyosin beta, which were differentially expressed. Loss of 4q31 (encompassing the SMAD1 locus), loss of 18q22, and tumor necrosis were identified as independent predictors of metastasis in multivariate stepwise Cox regression analysis. Combined analysis applying loss of 4q31 and 18q22 and the presence of necrosis improved the area under receiver operating characteristic curve for metastasis prediction from 0.64 to 0.86. The extensive genetic similarities between extremity soft tissue UPS and LMS suggest a shared lineage of these STS subtypes and the new and independent genetic prognosticators identified hold promise for refined prognostic determination in high-grade, genetically complex STS.Laboratory Investigation advance online publication, 16 March 2009; doi:10.1038/labinvest.2009.18.
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| 2. |
- Fernebro, Josefin, et al.
(författare)
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Gene expression profiles relate to SS18/SSX fusion type in synovial sarcoma
- 2006
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Ingår i: International Journal of Cancer. - : Wiley. - 0020-7136. ; 118:5, s. 1165-1172
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Tidskriftsartikel (refereegranskat)abstract
- We applied 27k spotted cDNA microarray slides to assess gene expression profiles in 26 samples from 24 patients with synovial sarcomas (SS). The data were analyzed in relation to histopathologic type, cytogenetic aberrations, gene fusion type and development of distant metastases. Supervised analysis based on gene fusion type in 12 SS with SS18/SSXI and 9 with SS18/SSX2 revealed significant differences in gene expression profiles. Among the discriminators were several genes that have previously been found to be upregulated in SS, including AXL, ZIC2, SPAG7, AGRN, FOXC1, NCAM1 and multiple metallothioneins. Histopathology and degree of cytogenetic complexity did not significantly influence expression, whereas a genetic signature that related to development of metastases could be discerned, albeit with a high false-positive rate. In conclusion, our findings demonstrate differentially expressed genes for the 2 major gene fusion variants in SS, SS18/SSX1 and SS18/SSX2, and thereby suggest that these result in different downstream effects. (c) 2005 Wiley-Liss, Inc.
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| 3. |
- Francis, Princy, et al.
(författare)
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Diagnostic and prognostic gene expression signatures in 177 soft tissue sarcomas: hypoxia-induced transcription profile signifies metastatic potential.
- 2007
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Ingår i: BMC Genomics. - : Springer Science and Business Media LLC. - 1471-2164. ; 8
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Tidskriftsartikel (refereegranskat)abstract
- Background Soft tissue sarcoma (STS) diagnosis is challenging because of a multitude of histopathological subtypes, different genetic characteristics, and frequent intratumoral pleomorphism. One-third of STS metastasize and current risk-stratification is suboptimal, therefore, novel diagnostic and prognostic markers would be clinically valuable. We assessed the diagnostic and prognostic value of array-based gene expression profiles using 27 k cDNA microarrays in 177, mainly high-grade, STS of 13 histopathological subtypes. Results Unsupervised analysis resulted in two major clusters – one mainly containing STS characterized by type-specific genetic alterations and the other with a predominance of genetically complex and pleomorphic STS. Synovial sarcomas, myxoid/round-cell liposarcomas, and gastrointestinal stromal tumors clustered tightly within the former cluster and discriminatory signatures for these were characterized by developmental genes from the EGFR, FGFR, Wnt, Notch, Hedgehog, RAR and KIT signaling pathways. The more pleomorphic STS subtypes, e.g. leiomyosarcoma, malignant fibrous histiocytoma/undifferentiated pleomorphic sarcoma and dedifferentiated/pleomorphic liposarcoma, were part of the latter cluster and were characterized by relatively heterogeneous profiles, although subclusters herein were identified. A prognostic signature partly characterized by hypoxia-related genes was identified among 89 genetically complex pleomorphic primary STS and could, in a multivariate analysis including established prognostic markers, independently predict the risk of metastasis with a hazard ratio of 2.2 (P = 0.04). Conclusion Diagnostic gene expression profiles linking signaling pathways to the different STS subtypes were demonstrated and a hypoxia-induced metastatic profile was identified in the pleomorphic, high-grade STS. These findings verify diagnostic utility and application of expression data for improved selection of high-risk STS patients.
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| 4. |
- Francis, Princy
(författare)
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Genetic Profiling in Soft Tissue Sarcoma
- 2007
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- Soft tissue sarcomas (STS) are a heterogeneous group of highly malignant mesenchymal tumors that account for ~1% of all malignancies. Frequent heterogeneity and pleomorphism along with suboptimal diagnostic reproducibility and insufficient prognostic markers make clinical management of these tumors difficult. This thesis has applied microarray-based gene expression and copy-number profiling to STS. The studies provide clues to the genetic pathways involved in STS development and identify profiles linked to diagnosis and prognosis. The results from Study I that concerns intratumor versus intertumor heterogeneity of gene expression profiles in malignant fibrous histiocytoma (MFH) and leiomyosarcoma (LMS), suggest that intratumor heterogeneity may be particularly relevant in small tumor series and thus serve as a reminder to run larger sample sets for increased reliability. Study II established expression patterns related to the SS18-SSX fusion variants and metastatic potential in synovial sarcoma (SS). The differential expression of various developmental genes, transcription factors, histones, and metallothioneins suggests that the gene fusion variants have distinct downstream effects. In Study III, 177 STS of mixed histopathological subtypes were profiled using cDNA microarrays. Distinct gene expression patterns were identified in subtypes with specific translocations or mutations. Herein, frequent upregulation of developmental genes, from e.g. the Wingless and Hedgehog signaling pathways, was demonstrated. The more pleomorphic STS showed overexpression of genes involved in proliferation, adhesion, motility and protein degradation. Moreover, a prognostic signature partly characterized by hypoxia-related genes was identified within the pleomorphic STS. Study IV applied array-based comparative genomic hybridization in MFH and LMS, and demonstrated extensive genetic complexity with multiple recurrent gains and losses, novel amplifications and homozygous deletions. Losses in chromosomal regions 6q14 and 7q36 provided prognostic information independent of previously established risk factors. In summary, these studies demonstrate the potential of genetic profiling in STS and herein, define intratumor heterogeneity, demonstrate that gene fusion variants in SS yield different downstream effects, identify diagnostic and prognostic subsets within STS, and in the pleomorphic tumors, discern prognostically important alterations within the plethora of genetic aberrations that characterize many STS.
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| 5. |
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| 6. |
- Isinger Ekstrand, Anna, et al.
(författare)
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Genetic profiles of gastroesophageal cancer: combined analysis using expression array and tiling array-comparative genomic hybridization
- 2010
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Ingår i: Cancer Genetics and Cytogenetics. - : Elsevier BV. - 0165-4608. ; 200:2, s. 120-126
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Tidskriftsartikel (refereegranskat)abstract
- We aimed to characterize the genomic profiles of adenocarcinomas in the gastroesophageal junction in relation to cancers in the esophagus and the stomach. Profiles of gains/losses as well as gene expression profiles were obtained from 27 gastroesophageal adenocarcinomas by means of 32k high-resolution array-based comparative genomic hybridization and 27k oligo gene expression arrays, and putative target genes were validated in an extended series. Adenocarcinomas in the distal esophagus and the gastroesophageal junction showed strong similarities with the most common gains at 20q13, 8q24, 1q21-23, 5p15, 13q34, and 12q13, whereas different profiles with gains at 5p15, 7p22, 2q35, and 13q34 characterized gastric cancers. CDK6 and EGFR were identified as putative target genes in cancers of the esophagus and the gastroesophageal junction, with upregulation in one quarter of the tumors. Gains/losses and gene expression profiles show strong similarity between cancers in the distal esophagus and the gastroesophageal junction with frequent upregulation of CDK6 and EGFR, whereas gastric cancer displays distinct genetic changes. These data suggest that molecular diagnostics and targeted therapies can be applied to adenocarcinomas of the distal esophagus and gastroesophageal junction alike. (C) 2010 Elsevier Inc. All rights reserved.
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| 7. |
- Nilbert, Mef, et al.
(författare)
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Lessons from genetic profiling in soft tissue sarcomas
- 2004
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Ingår i: Acta Orthopaedica Scandinavica. Supplementum. - : Medical Journals Sweden AB. - 0300-8827 .- 0001-6470. ; 75:Supplement 311, s. 35-50
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Tidskriftsartikel (refereegranskat)
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| 8. |
- Skubitz, Keith M., et al.
(författare)
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Gene expression identifies heterogeneity of metastatic propensity in high-grade soft tissue sarcomas
- 2012
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Ingår i: Cancer. - : Wiley. - 1097-0142 .- 0008-543X. ; 118:17, s. 4235-4243
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: Metastatic propensity of soft tissue sarcoma (STS) is heterogeneous and may be determined by gene expression patterns that do not correlate well with morphology. The authors have reported gene expression patterns that distinguish 2 broad classes of clear cell renal carcinoma (ccRCC-gene set), and other patterns that can distinguish heterogeneity of serous ovarian carcinoma (OVCA-gene set) and aggressive fibromatosis (AF-gene set); however, clinical follow-up data were not available for these samples. METHODS: In the current study, gene expression patterns in 73 samples of high-grade STS were examined using spotted cDNA microarray slides that contained similar to 16,000 unique UniGene clusters. Approximately 50% of the genes present in the ccRCC-, OVCA-, and AF-gene sets were also represented in the data from this chip set, and these were combined to form a composite gene set of 278 probes. RESULTS: Hierarchical clustering using this composite gene set suggested the existence of subsets of the STS samples. Analysis revealed differences in the time to development of metastatic disease between the clusters defined by the first branch point of the clustering dendrogram (P = .005), and also among the 4 different clusters defined by the second branch points (P = .001). CONCLUSIONS: This approach suggests the existence of >2 subsets of high-grade pleomorphic STS, each with distinct clinical behavior. A composite gene set such as that described here may be useful to stratify STS in clinical trials, and may be of practical utility in patient management. Cancer 2012.(c) 2012 American Cancer Society.
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| 9. |
- Wallin, Åsa, 1976-, et al.
(författare)
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Gene Expression Profile of Colon Cancer Cell Lines Treated with SN-38
- 2010
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Ingår i: Chemotherapy. - : S. Karger AG. - 0009-3157 .- 1421-9794. ; 56:1, s. 17-25
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Tidskriftsartikel (refereegranskat)abstract
- Aim: Colorectal cancer is the third most common form of cancer in the industrial countries. Due to advances regarding the treatments, primarily development of improved surgical methods and the ability to make the earlier diagnosis, the mortality has remained constant during the past decades even though the incidence in fact has increased. To improve chemotherapy and enable personalised treatment, the need of biomarkers is of great significance. In this study, we evaluated the gene expression profiles of the colon cancer cell lines treated with SN-38, the active metabolite of topoisomerase-1 inhibitor irinotecan which leads to cell cycle arrest and apoptosis. Material and Methods: The study included 3 colon cancer cell lines: KM12C, KM12SM and KM12l4a. The 3 cell lines were treated with SN-38, and samples were obtained after 24 and 48 hour treatments. The gene expression analyses were performed using oligonucleotide microarrays comprising of similar to 27,000 spots where the untreated controls were compared to the SN-38-treated samples. Results: Unsupervised clustering clearly distinguished the treated cell lines from the untreated. Supervised analysis identified 3,974 significant genes (p = 0.05) differentiating the treated samples from the untreated, majority of which were down-regulated after treatment. The top-ranked down-regulated genes in the treated cell lines included those related to receptor and kinase activity, signal transduction, apoptosis, RNA processing, protein metabolism and transport, cell cycle and transcription. A smaller number of genes were up-regulated in the cell lines after treatment and included genes involved in apoptosis, transcription, development and differentiation. Conclusions: These results demonstrate that the expression of the genes involved in cell proliferation and apoptosis as well as RNA, DNA and protein metabolism were affected by SN-38. The impact of certain genes on colorectal cancer development needs to be further evaluated; however, these results could serve as a basis for further studies in order to find targets for irinotecan treatment. Copyright (C) 2010 S. Karger AG, Basel
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