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Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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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. 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.

ORGANISM(S): Canis lupus familiaris

SUBMITTER: Daniel Gustafson

PROVIDER: E-GEOD-76127 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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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.

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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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