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Series GSE45510 Query DataSets for GSE45510
Status Public on May 19, 2015
Title Stratification of Leiomyosarcoma molecular subtypes by 3' end RNA-sequencing: Toward precision medicine
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary Leiomyosarcoma (LMS) is a malignant neoplasm with smooth muscle differentiation. Little is known about its molecular heterogeneity and no targeted therapy currently exists for LMS. We demonstrate the existence of 3 molecular subtypes in a cohort of 99 cases and an independent cohort of 82 LMS. Two new FFPE tissue-compatible diagnostic immunohistochemical markers are identified: LMOD1 for subtype I LMS and ARL4C for subtype II LMS. Subtype I and subtype II LMS are associated with good and poor prognosis, respectively. The LMS subtypes show significant differences in expression levels for genes for which novel targeted therapies are being developed.
 
Overall design Gene expression profiling was performed by 3' End RNA Sequencing (3SEQ), a next generation sequencing approach that does not rely on frozen tissue but can be performed on archival FFPE tissue. Samples included 99 LMS, 6 Undifferentiated Pleomorphic Sarcomas (UPS), 3 leiomyomas, 4 normal myometrium samples, and 1 case of Lymphangioleiomyomatosis (LAM). This study only includes the 99 LMS Samples. After gene expression levels were quantified by 3SEQ analysis pipeline, Consensus Clustering with bootstrap method was used to determine that the dataset contained three robust subtypes, and Silhouette analysis was performed to validate the subtype assignments. Two class SAM analysis (Significance Analysis of Microarrays) was performed to identify genes expressed differentially between each subtype of LMS with FDR of 0.05. Immunohistochemical staining was used to validate the potential diagnostic and prognostic markers from 3SEQ data on a tissue microarray.
 
Contributor(s) Guo X, Zhu SX, Jo VY, Fletcher JA, Lee C, Espinosa I, Gupta S, Varma S, Brunner AL, West RB, van de Rijn M
Citation(s) 25896974, 26240788, 33941787
Submission date Mar 26, 2013
Last update date May 12, 2021
Contact name Xiangqian Guo
E-mail(s) xqguo@stanford.edu
Phone 650 725 7742
Organization name Stanford University
Department Department of Pathology
Lab vanderijn-west Lab
Street address 300 Pasteur Dr.
City Stanford
State/province CA
ZIP/Postal code 94305
Country USA
 
Platforms (1)
GPL10999 Illumina Genome Analyzer IIx (Homo sapiens)
Samples (99)
GSM1105766 STT6023_LMS
GSM1105767 STT6025_LMS
GSM1105768 STT6024_LMS
Relations
BioProject PRJNA194525
SRA SRP019994

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE45510_99LMS.transcriptome_TPM_round.txt.gz 5.0 Mb (ftp)(http) TXT
SRA Run SelectorHelp
Raw data are available in SRA
Processed data are available on Series record

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