TY - JOUR
T1 - Gene expression analysis identifies global gene dosage sensitivity in cancer
AU - Fehrmann, Rudolf S. N.
AU - Karjalainen, Juha M.
AU - Krajewska, Malgorzata
AU - Westra, Harm-Jan
AU - Maloney, David
AU - Simeonov, Anton
AU - Pers, Tune H.
AU - Hirschhorn, Joel N.
AU - Jansen, Ritsert C.
AU - Schultes, Erik A.
AU - van Haagenl, Herman H. H. B. M.
AU - de Vries, Elisabeth G. E.
AU - te Meerman, Gerhardus
AU - Wijmenga, Cisca
AU - van Vugt, Marcel A. T. M.
AU - Franke, Lude
PY - 2015/2
Y1 - 2015/2
N2 - Many cancer-associated somatic copy number alterations (SCNAs) are known. Currently, one of the challenges is to identify the molecular downstream effects of these variants. Although several SCNAs are known to change gene expression levels, it is not clear whether each individual SCNA affects gene expression. We reanalyzed 77,840 expression profiles and observed a limited set of 'transcriptional components' that describe well-known biology, explain the vast majority of variation in gene expression and enable us to predict the biological function of genes. On correcting expression profiles for these components, we observed that the residual expression levels (in 'functional genomic mRNA' profiling) correlated strongly with copy number. DNA copy number correlated positively with expression levels for 99% of all abundantly expressed human genes, indicating global gene dosage sensitivity. By applying this method to 16,172 patient-derived tumor samples, we replicated many loci with aberrant copy numbers and identified recurrently disrupted genes in genomically unstable cancers.
AB - Many cancer-associated somatic copy number alterations (SCNAs) are known. Currently, one of the challenges is to identify the molecular downstream effects of these variants. Although several SCNAs are known to change gene expression levels, it is not clear whether each individual SCNA affects gene expression. We reanalyzed 77,840 expression profiles and observed a limited set of 'transcriptional components' that describe well-known biology, explain the vast majority of variation in gene expression and enable us to predict the biological function of genes. On correcting expression profiles for these components, we observed that the residual expression levels (in 'functional genomic mRNA' profiling) correlated strongly with copy number. DNA copy number correlated positively with expression levels for 99% of all abundantly expressed human genes, indicating global gene dosage sensitivity. By applying this method to 16,172 patient-derived tumor samples, we replicated many loci with aberrant copy numbers and identified recurrently disrupted genes in genomically unstable cancers.
KW - HOMOLOGOUS RECOMBINATION
KW - MUTATIONS
KW - BREAST
KW - LANDSCAPE
KW - REPAIR
KW - CELLS
U2 - 10.1038/ng.3173
DO - 10.1038/ng.3173
M3 - Article
C2 - 25581432
SN - 1061-4036
VL - 47
SP - 115
EP - 125
JO - Nature Genetics
JF - Nature Genetics
IS - 2
ER -