Transcriptomics

Dataset Information

0

Metastatic and Nonmetastatic canine soft tissue sarcoma comparison


ABSTRACT: We hypothesize that there is a gene signature which will improve our ability to predict development of metastatic disease in STS patients. The objective of this study was to determine the feasibility of using cDNA microarray and quantitative real-time PCR (qRT-PCR) analysis to determine gene expression patterns in metastatic versus non-metastatic canine STSs, given the inherent heterogeneity of this group of tumors. Five STSs from dogs with metastatic disease were evaluated in comparison to eight STSs from dogs without metastasis. Tumor RNA was extracted, processed and labeled for application to the Affymetrix Canine Genechip 2.0 Array. Array fluorescence was normalized using D-Chip software and data analysis was performed with JMP/Genomics. Differential gene expression was validated using qRT-PCR. Over 200 genes were differentially expressed at a false discovery rate of 5%. Differential gene expression was validated for five genes upregulated in metastatic tumors. Quantitative RT-PCR confirmed increased relative expression of all five genes of interest in the metastatic STSs. Our results demonstrate that microarray and qRT-PCR are feasible methods for comparing gene signatures in canine STSs. Further evaluation of differences in gene expression between metastatic and non-metastatic STSs is likely to identify genes important in the development of metastatic disease and improve our ability to prognosticate for individual patients.

ORGANISM(S): Canis lupus familiaris

PROVIDER: GSE24601 | GEO | 2011/02/01

SECONDARY ACCESSION(S): PRJNA132393

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2011-02-01 | E-GEOD-24601 | biostudies-arrayexpress
2015-03-23 | GSE65158 | GEO
2011-12-10 | GSE25586 | GEO
2011-12-10 | E-GEOD-25586 | biostudies-arrayexpress
2024-04-03 | GSE247355 | GEO
2012-10-31 | E-GEOD-32460 | biostudies-arrayexpress
2015-08-25 | E-GEOD-66064 | biostudies-arrayexpress
2018-12-26 | GSE104733 | GEO
2010-12-01 | E-GEOD-22516 | biostudies-arrayexpress
2015-08-25 | GSE66064 | GEO