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Series GSE49894 Query DataSets for GSE49894
Status Public on Oct 01, 2013
Title A transcriptional and metabolic signature of primary aneuploidy is present in chromosomally-unstable cancer cells and informs clinical prognosis
Organism Mus musculus
Experiment type Expression profiling by array
Summary In all primary cells analyzed to date, aneuploidy is associated with poor proliferation. Yet, how abnormal karyotypes affect cancer – a disease characterized by both aneuploidy and heightened proliferative capacity – is largely unknown. Here, I demonstrate that the transcriptional alterations caused by aneuploidy in primary cells are also present in chromosomally-unstable cancer cell lines, but are not common to all aneuploid cancers. Moreover, chromosomally-unstable cancer lines display increased glycolytic and TCA-cycle flux, as is also observed in primary aneuploid cells. The biological response to aneuploidy is associated with cellular stress and slow proliferation, and a 70-gene signature derived from primary aneuploid cells is a strong predictor of increased survival in several cancers. Inversely, a transcriptional signature derived from clonal aneuploidy in tumors correlates with high mitotic activity and poor prognosis. I speculate that there are two types of aneuploidy in cancer: clonal aneuploidy, which is selected during tumor evolution and is associated with robust growth, and sub-clonal aneuploidy, which is caused by chromosomal instability (CIN) and more closely resembles the stressed state of primary aneuploid cells. Nonetheless, CIN is not benign: a subset of genes upregulated in high-CIN cancers predict aggressive disease in human patients in a proliferation-independent manner.
 
Overall design The mRNAs from 3 different mouse embryo fibroblast (MEF) lines that are chromosomally stable were compared with mRNAs from 3 different MEF lines that were chromosomally unstable due to mutations in either BUBR1 or CDC20
 
Contributor(s) Sheltzer J
Citation(s) 24041940
Submission date Aug 14, 2013
Last update date May 04, 2018
Contact name Charles Arthur Whittaker
E-mail(s) charliew@mit.edu
Organization name Koch Institute
Street address 77 Mass Ave 76-189
City Cambridge
State/province MA
ZIP/Postal code 02152
Country USA
 
Platforms (1)
GPL8321 [Mouse430A_2] Affymetrix Mouse Genome 430A 2.0 Array
Samples (6)
GSM1209022 9515-1_BubR1H/H
GSM1209023 9515-5_BubR1+/+
GSM1209024 9938-7_BubR1H/H
Relations
BioProject PRJNA215259

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
GSE49894_RAW.tar 13.1 Mb (http)(custom) TAR (of CEL)
Processed data included within Sample table

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