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Gene expression data of canine osteosarcoma primary tumors (Affymetrix Canine 2.0 array)

ABSTRACT: The recently developed COXEN method (PMID: 17666531) has been used to successfully extrapolate gene signatures of drug sensitivity across different tumor histotypes. We wanted to explore the utility of COXEN to predict chemosensitivity in canine cancer, specifically if we could extrapolate gene signatures identified in human datasets over to canine osteosarcoma tumors. This dataset of canine osteosarcoma tumor samples has available clinical outcome data after patients had infected limbs amputated and were treated with doxorubicin and/or carboplatin. We performed microarray analysis on this panel of tumor samples for validating our COXEN prediction models for doxorubicin or carboplatin sensitivity.

ORGANISM(S): Canis lupus familiaris

PROVIDER: GSE76127 | GEO | 2015/12/18

SECONDARY ACCESSION(S): PRJNA306371

REPOSITORIES: GEO

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Gene expression data of canine osteosarcoma primary tumors (Affymetrix Canine 2.0 array)

Project description:The recently developed COXEN method (PMID: 17666531) has been used to successfully extrapolate gene signatures of drug sensitivity across different tumor histotypes. We wanted to explore the utility of COXEN to predict chemosensitivity in canine cancer, specifically if we could extrapolate gene signatures identified in human datasets over to canine osteosarcoma tumors. This dataset of canine osteosarcoma tumor samples has available clinical outcome data after patients had infected limbs amputated and were treated with doxorubicin and/or carboplatin. We performed microarray analysis on this panel of tumor samples for validating our COXEN prediction models for doxorubicin or carboplatin sensitivity. Chemotherapy naive primary tumors were collected at the time of amputation and archived at the Flint Animal Cancer Center. RNA was extracted from 33 frozen archived tumor samples, followed by microarray analysis. The gene expression data was RMA preprocessed, scaled and were used as a independent test set to evaluate developed prediction models of sensitivity to doxorubicin or carboplatin. Drug predictions were than compared to clinical outcome in these patients that received doxorubicin and/or carboplatin.

2015-12-18 | E-GEOD-76127 | biostudies-arrayexpress

Predictive Models of Drug Response in Canine Osteosarcoma: A Prospective Clinical Trial Testing the COXEN Approach

Project description:This was a prospective clinical trial testing the ability of gene expression models of drug sensitivity that were developed in human and canine cell lines and applied to outcomes in dogs treated with adjuvant carboplatin and/or doxorubicin. Tumor samples were collected prospectively, and gene expression analysis was conducted using Affymetrix Canine Genome 2.0 Arrays.

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Project description:This SuperSeries is composed of the following subset Series: GSE16087: Gene expression profiles of canine osteosarcoma GSE16088: Gene expression profiles of human osteosarcoma GSE16091: Gene expression profiles of human osteosarcoma, set2 Pulmonary metastasis continues to be the most common cause of death in osteosarcoma. Indeed, the 5-year survival for newly diagnosed osteosarcoma patients has not significantly changed in over 20 years. Further understanding of the mechanisms of metastasis and resistance for this aggressive pediatric cancer is necessary. Pet dogs naturally develop osteosarcoma providing a novel opportunity to model metastasis development and progression. Given the accelerated biology of canine osteosarcoma, we hypothesized that a direct comparison of canine and pediatric osteosarcoma expression profiles may help identify novel metastasis-associated tumor targets that have been missed through the study of the human cancer alone. Collectively, these data support the strong similarities between human and canine osteosarcoma and underline the opportunities provided by a comparative oncology approach as a means to improve our understanding of cancer biology and therapy. Two datasets consisting of canine osteosarcoma tumors, canine osteosarcoma cell lines, and three normal tissues and an analogous human dataset were used to define the similarity between human and canine osteosarcoma. A third dataset, human osteosarcoma with outcome data, was then used to suggest that some of the differences between the canine and human osteosarcoma were, perhaps, related to survival.

2009-11-03 | E-GEOD-16102 | biostudies-arrayexpress

Gene expression profiles of canine osteosarcoma

Project description:Pulmonary metastasis continues to be the most common cause of death in osteosarcoma. Indeed, the 5-year survival for newly diagnosed osteosarcoma patients has not significantly changed in over 20 years. Further understanding of the mechanisms of metastasis and resistance for this aggressive pediatric cancer is necessary. Pet dogs naturally develop osteosarcoma providing a novel opportunity to model metastasis development and progression. Given the accelerated biology of canine osteosarcoma, we hypothesized that a direct comparison of canine and pediatric osteosarcoma expression profiles may help identify novel metastasis-associated tumor targets that have been missed through the study of the human cancer alone. Collectively, these data support the strong similarities between human and canine osteosarcoma and underline the opportunities provided by a comparative oncology approach as a means to improve our understanding of cancer biology and therapy. Profiles of dog osteosarcoma and several normal tissues, single channel design, tumor versus normal

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Canine osteosarcoma cell lines and tissues

Project description:Cell lines and tumor tissues from canine osteosarcomas with accompanying survival and breed data. Comparisons of gene expression between osteosarcoma-derived cell lines and osteosarcoma tissues.

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Gene expression profiles of canine osteosarcoma

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CCOGC canine Osteosarcoma tumor samples

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Expression data from canine osteosarcoma stem cells

Project description:Osteosarcoma is the most common primary bone tumours of dogs. Canine osteosarcoma contains a sub-population of cancer stem cells. Here we used canine-specific microarrays to compare the global gene expression profiles of osteosarcoma stem cells to adherent cancer cells and canine mesenchymal stem cells.

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