Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0

Retained heterodisomy is associated with high gene expression in hyperhaploid inflammatory leiomyosarcoma (Expression)


ABSTRACT: Global gene expression analysis of inflammatory leiomyosarcoma (ILMS) and conventional leiomyosarcoma (LMS). RNA was extracted from frozen tumor biopsies (3 ILMS and 15 LMS) and hybridized onto Affymetrix Human Gene 1.0 ST arrays. LMS_18b is the same sample as LMS_18a, analyzed at a different time point. LMS_18b data are not included in the final gene expression analysis; and therefore, there is no Sample data table. This sample was instead used in a previous analysis to show that a normalization method (the ComBat algorithm) was successful in removing batch effects and keeping biological variation.

ORGANISM(S): Homo sapiens

SUBMITTER: Karolin Nord 

PROVIDER: E-GEOD-37992 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

altmetric image

Publications

Retained heterodisomy is associated with high gene expression in hyperhaploid inflammatory leiomyosarcoma.

Nord Karolin H KH   Paulsson Kajsa K   Veerla Srinivas S   Wejde Johan J   Brosjö Otte O   Mandahl Nils N   Mertens Fredrik F  

Neoplasia (New York, N.Y.) 20120901 9


Inflammatory leiomyosarcoma (ILMS) is a soft tissue tumor that morphologically resembles conventional leiomyosarcoma (LMS) admixed with a prominent inflammatory infiltrate. Genetic data on ILMS are still limited but have suggested that this entity is characterized by hyperhaploidy (24-34 chromosomes). This low chromosome number is otherwise uncommon in neoplasia and has been found only in 0.2% to 0.3% of cytogenetically investigated tumors. Here, three ILMS were investigated using cytogenetic, s  ...[more]

Similar Datasets

2013-05-22 | GSE37992 | GEO
2013-05-22 | E-GEOD-38104 | biostudies-arrayexpress
2013-05-22 | GSE38015 | GEO
2013-05-22 | E-GEOD-38015 | biostudies-arrayexpress
2020-01-22 | GSE143968 | GEO
2015-12-25 | GSE62544 | GEO
2015-05-19 | GSE53844 | GEO
2015-05-19 | GSE45510 | GEO
2015-05-19 | GSE54511 | GEO
2015-05-19 | E-GEOD-53844 | biostudies-arrayexpress