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PMC0
bibo:doi
10.1371%2Fjournal.pone.0009983
n5:contains
_:vb7476295 _:vb7476258 _:vb7476255 _:vb7476250
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_:vb7476250
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n5:Section
dc:title
introduction
n5:contains
_:vb7476252 _:vb7476253 _:vb7476254 _:vb7476251
Subject Item
_:vb7476251
rdf:type
n3:Context
rdf:value
Numerous gene expression studies have identified lists of genes with significantly altered expression, but disappointingly there is little consensus between studies [>>1<<]. While gene expression studies are useful in identifying broad categories of pathways altered in cancer and clinically important subtypes [2], on their own they may not be able to distinguish the genetically altered key driver genes. An
n3:mentions
n2:18217975
Subject Item
_:vb7476252
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n3:Context
rdf:value
While gene expression studies are useful in identifying broad categories of pathways altered in cancer and clinically important subtypes [>>2<<], on their own they may not be able to distinguish the genetically altered key driver genes.
n3:mentions
n2:18698038
Subject Item
_:vb7476253
rdf:type
n3:Context
rdf:value
Early studies were hampered because the technologies for genome-wide genomic analysis lacked the resolution to adequately refine cancer associated loci [>>3<<]. The problem of resolution has been overcome with the development of ultra-high resolution aCGH and SNP arrays. Recently, our group has used these latest-generation SNP arrays to annotate even small regions (as small as 25 kb) of genomic
n3:mentions
n2:19383377
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_:vb7476254
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n3:Context
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Recently, our group has used these latest-generation SNP arrays to annotate even small regions (as small as 25 kb) of genomic alteration [>>4<<]. This data also demonstrated that the genetic events occurring in ovarian cancers are more numerous and complex than previously suspected. While some potential driver genes could be rapidly identified from this data due to their location
n3:mentions
n2:17699850
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_:vb7476255
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n5:Section
dc:title
materials and methods
n5:contains
_:vb7476256 _:vb7476257
Subject Item
_:vb7476256
rdf:type
n3:Context
rdf:value
Louis, Missouri) and Bioconductor packages in the R-open source software framework [34], [>>35<<]. SNP 6.0 CEL files were imported into Partek using default settings for background correction and summarisation. Human Genome Build 36.1 (hg18, March 2006) was used for base pair locations. Probeset copy number ratios were calculated by
n3:mentions
n2:15461798
Subject Item
_:vb7476257
rdf:type
n3:Context
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Circular binary segmentation [>>36<<] was performed using the R-based package “DNAcopy” to segment the data into distinct regions of change using default package settings.
n3:mentions
n2:15475419
Subject Item
_:vb7476258
rdf:type
n5:Section
dc:title
results
n5:contains
_:vb7476292 _:vb7476293 _:vb7476294 _:vb7476288 _:vb7476289 _:vb7476290 _:vb7476291 _:vb7476268 _:vb7476269 _:vb7476270 _:vb7476271 _:vb7476264 _:vb7476265 _:vb7476266 _:vb7476267 _:vb7476260 _:vb7476261 _:vb7476262 _:vb7476263 _:vb7476259 _:vb7476284 _:vb7476285 _:vb7476286 _:vb7476287 _:vb7476280 _:vb7476281 _:vb7476282 _:vb7476283 _:vb7476276 _:vb7476277 _:vb7476278 _:vb7476279 _:vb7476272 _:vb7476273 _:vb7476274 _:vb7476275
Subject Item
_:vb7476259
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We have previously conducted an integrated expression analysis of candidate tumour suppressor genes within regions of loss of heterozygosity on an overlapping tumour cohort [>>6<<], thus for this study we chose to focus on the identification of candidate genes located within amplicons.
n3:mentions
n2:19603523
Subject Item
_:vb7476260
rdf:type
n3:Context
rdf:value
Our main approach to identify cancer-related genes was to filter for the most frequent aberrations but we noted that well characterised cancer driver genes, such as CCNE1 and ERBB2 [>>7<<], were not identified since they were amplified in less than 40% of tumours.
n3:mentions
n2:20029424
Subject Item
_:vb7476261
rdf:type
n3:Context
rdf:value
Genes in italics are known oncogenes (based on Cancer Gene Census [>>38<<]), *Genes that show a strong (r>0.6) positive correlation of copy number with expression, †Not on expression microarray.
n3:mentions
n2:14993899
Subject Item
_:vb7476262
rdf:type
n3:Context
rdf:value
GeneChrStartEndTotal gain (%)CommentsOther genes in regionPDCD103168.884168.93543Angiogenesis disorder [>>39<<], ERK pathway [40] PRKCI3171.423171.50651Oncogene in ovarian and other cancers [41], [42] SKIL, PHC3, MYNNECT23173.955174.02250Cytokinesis [43].
n3:mentions
n2:15543491
Subject Item
_:vb7476263
rdf:type
n3:Context
rdf:value
GeneChrStartEndTotal gain (%)CommentsOther genes in regionPDCD103168.884168.93543Angiogenesis disorder [39], ERK pathway [>>40<<] PRKCI3171.423171.50651Oncogene in ovarian and other cancers [41], [42] SKIL, PHC3, MYNNECT23173.955174.02250Cytokinesis [43].
n3:mentions
n2:17360971
Subject Item
_:vb7476264
rdf:type
n3:Context
rdf:value
GeneChrStartEndTotal gain (%)CommentsOther genes in regionPDCD103168.884168.93543Angiogenesis disorder [39], ERK pathway [40] PRKCI3171.423171.50651Oncogene in ovarian and other cancers [>>41<<], [42] SKIL, PHC3, MYNNECT23173.955174.02250Cytokinesis [43].
n3:mentions
n2:17570678
Subject Item
_:vb7476265
rdf:type
n3:Context
rdf:value
GeneChrStartEndTotal gain (%)CommentsOther genes in regionPDCD103168.884168.93543Angiogenesis disorder [39], ERK pathway [40] PRKCI3171.423171.50651Oncogene in ovarian and other cancers [41], [>>42<<] SKIL, PHC3, MYNNECT23173.955174.02250Cytokinesis [43].
n3:mentions
n2:16651413
Subject Item
_:vb7476266
rdf:type
n3:Context
rdf:value
gain (%)CommentsOther genes in regionPDCD103168.884168.93543Angiogenesis disorder [39], ERK pathway [40] PRKCI3171.423171.50651Oncogene in ovarian and other cancers [41], [42] SKIL, PHC3, MYNNECT23173.955174.02250Cytokinesis [>>43<<]. Transforming protein [44].
n3:mentions
n2:10579713
Subject Item
_:vb7476267
rdf:type
n3:Context
rdf:value
Transforming protein [>>44<<]. Interacts with PRKCI [45] TBL1XR1*3178.221178.39850Oncogene in breast cancer [46], transcriptional repressor [47] PIK3CA*3180.349180.43550Known oncogeneMRPL47, NDUFB5SENP23186.787186.83251SUMO1 deconjugating peptidase.
n3:mentions
n2:8464478
Subject Item
_:vb7476268
rdf:type
n3:Context
rdf:value
Interacts with PRKCI [>>45<<] TBL1XR1*3178.221178.39850Oncogene in breast cancer [46], transcriptional repressor [47] PIK3CA*3180.349180.43550Known oncogeneMRPL47, NDUFB5SENP23186.787186.83251SUMO1 deconjugating peptidase.
n3:mentions
n2:19617897
Subject Item
_:vb7476269
rdf:type
n3:Context
rdf:value
Interacts with PRKCI [45] TBL1XR1*3178.221178.39850Oncogene in breast cancer [>>46<<], transcriptional repressor [47] PIK3CA*3180.349180.43550Known oncogeneMRPL47, NDUFB5SENP23186.787186.83251SUMO1 deconjugating peptidase.
n3:mentions
n2:19706770
Subject Item
_:vb7476270
rdf:type
n3:Context
rdf:value
Interacts with PRKCI [45] TBL1XR1*3178.221178.39850Oncogene in breast cancer [46], transcriptional repressor [>>47<<] PIK3CA*3180.349180.43550Known oncogeneMRPL47, NDUFB5SENP23186.787186.83251SUMO1 deconjugating peptidase.
n3:mentions
n2:12628926
Subject Item
_:vb7476271
rdf:type
n3:Context
rdf:value
Possible role in degradation of beta-catenin [>>48<<].TMEM41AMRPL15*855.21055.22442Mitochondrial ribosomal protein [49] RLBP1L1*862.36362.57746Clavesin 1 (CLVS1), regulates endosome morphology [50], upregulated in liver cancer [51] YWHAZ*8102.000102.0355314-3-3 isoform zeta, oncogenic
n3:mentions
n2:11489887
Subject Item
_:vb7476272
rdf:type
n3:Context
rdf:value
Possible role in degradation of beta-catenin [48].TMEM41AMRPL15*855.21055.22442Mitochondrial ribosomal protein [>>49<<] RLBP1L1*862.36362.57746Clavesin 1 (CLVS1), regulates endosome morphology [50], upregulated in liver cancer [51] YWHAZ*8102.000102.0355314-3-3 isoform zeta, oncogenic functions in inhibiting apoptosis and adhesion [52]
n3:mentions
n2:10593885
Subject Item
_:vb7476273
rdf:type
n3:Context
rdf:value
TMEM41AMRPL15*855.21055.22442Mitochondrial ribosomal protein [49] RLBP1L1*862.36362.57746Clavesin 1 (CLVS1), regulates endosome morphology [>>50<<], upregulated in liver cancer [51] YWHAZ*8102.000102.0355314-3-3 isoform zeta, oncogenic functions in inhibiting apoptosis and adhesion [52] DERL1*8124.095124.12460Endoplasmic reticulum protein [53] with role in stress response.
n3:mentions
n2:19651769
Subject Item
_:vb7476274
rdf:type
n3:Context
rdf:value
TMEM41AMRPL15*855.21055.22442Mitochondrial ribosomal protein [49] RLBP1L1*862.36362.57746Clavesin 1 (CLVS1), regulates endosome morphology [50], upregulated in liver cancer [>>51<<] YWHAZ*8102.000102.0355314-3-3 isoform zeta, oncogenic functions in inhibiting apoptosis and adhesion [52] DERL1*8124.095124.12460Endoplasmic reticulum protein [53] with role in stress response.
n3:mentions
n2:18271718
Subject Item
_:vb7476275
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n3:Context
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protein [49] RLBP1L1*862.36362.57746Clavesin 1 (CLVS1), regulates endosome morphology [50], upregulated in liver cancer [51] YWHAZ*8102.000102.0355314-3-3 isoform zeta, oncogenic functions in inhibiting apoptosis and adhesion [>>52<<] DERL1*8124.095124.12460Endoplasmic reticulum protein [53] with role in stress response.
n3:mentions
n2:17704798
Subject Item
_:vb7476276
rdf:type
n3:Context
rdf:value
regulates endosome morphology [50], upregulated in liver cancer [51] YWHAZ*8102.000102.0355314-3-3 isoform zeta, oncogenic functions in inhibiting apoptosis and adhesion [52] DERL1*8124.095124.12460Endoplasmic reticulum protein [>>53<<] with role in stress response. Elevated expression in cancer [54], [55] WDR67*, C8orf76*ATAD2*8124.401124.47860ATPase.
n3:mentions
n2:15215855
Subject Item
_:vb7476277
rdf:type
n3:Context
rdf:value
Elevated expression in cancer [>>54<<], [55] WDR67*, C8orf76*ATAD2*8124.401124.47860ATPase.
n3:mentions
n2:18927294
Subject Item
_:vb7476278
rdf:type
n3:Context
rdf:value
Elevated expression in cancer [54], [>>55<<] WDR67*, C8orf76*ATAD2*8124.401124.47860ATPase.
n3:mentions
n2:18205950
Subject Item
_:vb7476279
rdf:type
n3:Context
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E2F target, binds MYC, expression correlates with poor outcome in breast cancer [>>56<<]. Interacts with ER and AR and is required for target gene expression [57] WDYHV1/C8ORF32*, FBXO32*, FAM91A1*RNF139*8125.556125.57060Translocation causes hereditary renal cancer. Interacts with VHL [58] NDUFB9*, TRMT12*, TMEM65*,
n3:mentions
n2:19843847
Subject Item
_:vb7476280
rdf:type
n3:Context
rdf:value
Interacts with ER and AR and is required for target gene expression [>>57<<] WDYHV1/C8ORF32*, FBXO32*, FAM91A1*RNF139*8125.556125.57060Translocation causes hereditary renal cancer.
n3:mentions
n2:19318566
Subject Item
_:vb7476281
rdf:type
n3:Context
rdf:value
Interacts with VHL [>>58<<] NDUFB9*, TRMT12*, TMEM65*, SQLE*FAM84B*8127.634127.64061–FAM49B*8130.923131.02161–NDRG1*8134.319134.37960Diverse role in stress response including hypoxia [59].
n3:mentions
n2:12032852
Subject Item
_:vb7476282
rdf:type
n3:Context
rdf:value
Interacts with VHL [58] NDUFB9*, TRMT12*, TMEM65*, SQLE*FAM84B*8127.634127.64061–FAM49B*8130.923131.02161–NDRG1*8134.319134.37960Diverse role in stress response including hypoxia [>>59<<]. Fusions with ERG in prostate cancer [60].ZFAT*8135.559135.79460Zinc finger and AT hook protein, anti-apoptotic role [61] PTK2*8141.738142.08160Focal adhesion kinase. Involved in signal transduction for proliferation[62] CHRAC1*,
n3:mentions
n2:17916902
Subject Item
_:vb7476283
rdf:type
n3:Context
rdf:value
Fusions with ERG in prostate cancer [>>60<<].ZFAT*8135.559135.79460Zinc finger and AT hook protein, anti-apoptotic role [61] PTK2*8141.738142.08160Focal adhesion kinase.
n3:mentions
n2:19649210
Subject Item
_:vb7476284
rdf:type
n3:Context
rdf:value
ZFAT*8135.559135.79460Zinc finger and AT hook protein, anti-apoptotic role [>>61<<] PTK2*8141.738142.08160Focal adhesion kinase.
n3:mentions
n2:19162026
Subject Item
_:vb7476285
rdf:type
n3:Context
rdf:value
Involved in signal transduction for proliferation[>>62<<] CHRAC1*, NIBP/TRAPPC9*, SLC45A4*PTP4A3*8142.501142.51160Protein tyrosine phosphatase.
n3:mentions
n2:16069815
Subject Item
_:vb7476286
rdf:type
n3:Context
rdf:value
Increases proliferation and metastasis [>>63<<] JRK*, TSTA3, ZC3H3, LY6EPUF608144.971144.98460mRNA splicing factor [25] CYC1, ZNF623, ZNF7, CYHR1ERBB2*1735.09835.138Known oncogene in breast cancerTPX2*2029.79129.85342Activator of Aurora-A and involved in spindle assembly [30].
n3:mentions
n2:18224294
Subject Item
_:vb7476287
rdf:type
n3:Context
rdf:value
Increases proliferation and metastasis [63] JRK*, TSTA3, ZC3H3, LY6EPUF608144.971144.98460mRNA splicing factor [>>25<<] CYC1, ZNF623, ZNF7, CYHR1ERBB2*1735.09835.138Known oncogene in breast cancerTPX2*2029.79129.85342Activator of Aurora-A and involved in spindle assembly [30].
n3:mentions
n2:17579712
Subject Item
_:vb7476288
rdf:type
n3:Context
rdf:value
[63] JRK*, TSTA3, ZC3H3, LY6EPUF608144.971144.98460mRNA splicing factor [25] CYC1, ZNF623, ZNF7, CYHR1ERBB2*1735.09835.138Known oncogene in breast cancerTPX2*2029.79129.85342Activator of Aurora-A and involved in spindle assembly [>>30<<]. Interacts with BRCA1/BARD1 [64] UBE2C2043.87543.87942Ubiquitin-conjugating enzyme E2C, degradation of mitotic cyclins and cell cycle progression [65] PIGTZFP642050.13450.24243Zinc finger protein, Notch signalling [66]
n3:mentions
n2:12177045
Subject Item
_:vb7476289
rdf:type
n3:Context
rdf:value
Interacts with BRCA1/BARD1 [>>64<<] UBE2C2043.87543.87942Ubiquitin-conjugating enzyme E2C, degradation of mitotic cyclins and cell cycle progression [65] PIGTZFP642050.13450.24243Zinc finger protein, Notch signalling [66] AURKA2054.37854.40143Aurora kinase, cell cycle
n3:mentions
n2:17081976
Subject Item
_:vb7476290
rdf:type
n3:Context
rdf:value
Interacts with BRCA1/BARD1 [64] UBE2C2043.87543.87942Ubiquitin-conjugating enzyme E2C, degradation of mitotic cyclins and cell cycle progression [>>65<<] PIGTZFP642050.13450.24243Zinc finger protein, Notch signalling [66] AURKA2054.37854.40143Aurora kinase, cell cycle regulation, chromosome segregation, microtubule/spindle function [67] CSTF1, RAE1, C20orf43SS18L12060.15260.19146Synovial
n3:mentions
n2:9122200
Subject Item
_:vb7476291
rdf:type
n3:Context
rdf:value
Interacts with BRCA1/BARD1 [64] UBE2C2043.87543.87942Ubiquitin-conjugating enzyme E2C, degradation of mitotic cyclins and cell cycle progression [65] PIGTZFP642050.13450.24243Zinc finger protein, Notch signalling [>>66<<] AURKA2054.37854.40143Aurora kinase, cell cycle regulation, chromosome segregation, microtubule/spindle function [67] CSTF1, RAE1, C20orf43SS18L12060.15260.19146Synovial sarcoma translocation fusion gene [68]); calcium-responsive
n3:mentions
n2:18430783
Subject Item
_:vb7476292
rdf:type
n3:Context
rdf:value
of mitotic cyclins and cell cycle progression [65] PIGTZFP642050.13450.24243Zinc finger protein, Notch signalling [66] AURKA2054.37854.40143Aurora kinase, cell cycle regulation, chromosome segregation, microtubule/spindle function [>>67<<] CSTF1, RAE1, C20orf43SS18L12060.15260.19146Synovial sarcoma translocation fusion gene [68]); calcium-responsive transactivator [67] GTPBP5, LSM14B,
n3:mentions
n2:19774610
Subject Item
_:vb7476293
rdf:type
n3:Context
rdf:value
protein, Notch signalling [66] AURKA2054.37854.40143Aurora kinase, cell cycle regulation, chromosome segregation, microtubule/spindle function [67] CSTF1, RAE1, C20orf43SS18L12060.15260.19146Synovial sarcoma translocation fusion gene [>>68<<]); calcium-responsive transactivator [67] GTPBP5, LSM14B,
n3:mentions
n2:12696068
Subject Item
_:vb7476294
rdf:type
n3:Context
rdf:value
kinase, cell cycle regulation, chromosome segregation, microtubule/spindle function [67] CSTF1, RAE1, C20orf43SS18L12060.15260.19146Synovial sarcoma translocation fusion gene [68]); calcium-responsive transactivator [>>67<<] GTPBP5, LSM14B,
n3:mentions
n2:19774610
Subject Item
_:vb7476295
rdf:type
n5:Section
dc:title
discussion
n5:contains
_:vb7476320 _:vb7476321 _:vb7476322 _:vb7476323 _:vb7476324 _:vb7476312 _:vb7476313 _:vb7476314 _:vb7476315 _:vb7476316 _:vb7476317 _:vb7476318 _:vb7476319 _:vb7476304 _:vb7476305 _:vb7476306 _:vb7476307 _:vb7476308 _:vb7476309 _:vb7476310 _:vb7476311 _:vb7476296 _:vb7476297 _:vb7476298 _:vb7476299 _:vb7476300 _:vb7476301 _:vb7476302 _:vb7476303
Subject Item
_:vb7476296
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in ovarian cancer but identification of specific driver genes using this methodology alone has been hampered by the fact that expression is rather plastic and there has been little consensus in the genes identified between such studies [>>1<<], [8]. One reason for this lack of consistency is that most studies have analysed RNA from whole tumour samples without verification of the percentage cancer epithelium and/or have used diverse control tissues such as whole ground ovary
n3:mentions
n2:18217975
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cancer but identification of specific driver genes using this methodology alone has been hampered by the fact that expression is rather plastic and there has been little consensus in the genes identified between such studies [1], [>>8<<]. One reason for this lack of consistency is that most studies have analysed RNA from whole tumour samples without verification of the percentage cancer epithelium and/or have used diverse control tissues such as whole ground ovary [9].
n3:mentions
n2:15949568
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One reason for this lack of consistency is that most studies have analysed RNA from whole tumour samples without verification of the percentage cancer epithelium and/or have used diverse control tissues such as whole ground ovary [>>9<<]. In contrast to gene expression, genomic alterations may be a more stable and reliable predictor of the location of driver genes. Ovarian cancer has long been suspected to be cytogenetically complex [10] and recent advances in genomics
n3:mentions
n2:14581352
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Ovarian cancer has long been suspected to be cytogenetically complex [>>10<<] and recent advances in genomics technology has confirmed the profound genomic aberrations that characterise most ovarian cancers [4], [11], [12], [13].
n3:mentions
n2:10379876
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Ovarian cancer has long been suspected to be cytogenetically complex [10] and recent advances in genomics technology has confirmed the profound genomic aberrations that characterise most ovarian cancers [>>4<<], [11], [12], [13].
n3:mentions
n2:17699850
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Ovarian cancer has long been suspected to be cytogenetically complex [10] and recent advances in genomics technology has confirmed the profound genomic aberrations that characterise most ovarian cancers [4], [>>11<<], [12], [13].
n3:mentions
n2:12586079
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Ovarian cancer has long been suspected to be cytogenetically complex [10] and recent advances in genomics technology has confirmed the profound genomic aberrations that characterise most ovarian cancers [4], [11], [>>12<<], [13]. Despite this complexity, published copy number profiles of ovarian cancers are highly comparable at a global level [3] and many studies have identified very similar regions of frequent copy number alteration. However, progress at
n3:mentions
n2:19419571
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Ovarian cancer has long been suspected to be cytogenetically complex [10] and recent advances in genomics technology has confirmed the profound genomic aberrations that characterise most ovarian cancers [4], [11], [12], [>>13<<]. Despite this complexity, published copy number profiles of ovarian cancers are highly comparable at a global level [3] and many studies have identified very similar regions of frequent copy number alteration. However, progress at
n3:mentions
n2:17538174
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Despite this complexity, published copy number profiles of ovarian cancers are highly comparable at a global level [>>3<<] and many studies have identified very similar regions of frequent copy number alteration.
n3:mentions
n2:19383377
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For example, the chromosome 20 amplicon driver has variously been suggested to be ADRM1 [>>14<<], EYA2 [15], AURKA and ZNF217 [16], among several others.
n3:mentions
n2:18615678
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For example, the chromosome 20 amplicon driver has variously been suggested to be ADRM1 [14], EYA2 [>>15<<], AURKA and ZNF217 [16], among several others.
n3:mentions
n2:15705892
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For example, the chromosome 20 amplicon driver has variously been suggested to be ADRM1 [14], EYA2 [15], AURKA and ZNF217 [>>16<<], among several others.
n3:mentions
n2:12417041
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Early studies integrating expression and copy number data have either used cancer cell lines to identify over expressed genes [>>17<<], [18] and/or microarray platforms with limited resolution and genome coverage [19], [20].
n3:mentions
n2:15688027
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Early studies integrating expression and copy number data have either used cancer cell lines to identify over expressed genes [17], [>>18<<] and/or microarray platforms with limited resolution and genome coverage [19], [20].
n3:mentions
n2:12414653
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Early studies integrating expression and copy number data have either used cancer cell lines to identify over expressed genes [17], [18] and/or microarray platforms with limited resolution and genome coverage [>>19<<], [20]. To date few studies have exploited a truly genome-wide integrated copy number and expression analysis on matched samples for the unbiased identification of candidate genes [21], [22], [23] and there has only been one previous study
n3:mentions
n2:15611932
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Early studies integrating expression and copy number data have either used cancer cell lines to identify over expressed genes [17], [18] and/or microarray platforms with limited resolution and genome coverage [19], [>>20<<]. To date few studies have exploited a truly genome-wide integrated copy number and expression analysis on matched samples for the unbiased identification of candidate genes [21], [22], [23] and there has only been one previous study of a
n3:mentions
n2:16489013
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To date few studies have exploited a truly genome-wide integrated copy number and expression analysis on matched samples for the unbiased identification of candidate genes [>>21<<], [22], [23] and there has only been one previous study of a smaller cohort of ovarian tumours [12].
n3:mentions
n2:18772890
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To date few studies have exploited a truly genome-wide integrated copy number and expression analysis on matched samples for the unbiased identification of candidate genes [21], [>>22<<], [23] and there has only been one previous study of a smaller cohort of ovarian tumours [12].
n3:mentions
n2:18089785
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To date few studies have exploited a truly genome-wide integrated copy number and expression analysis on matched samples for the unbiased identification of candidate genes [21], [22], [>>23<<] and there has only been one previous study of a smaller cohort of ovarian tumours [12].
n3:mentions
n2:18335499
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truly genome-wide integrated copy number and expression analysis on matched samples for the unbiased identification of candidate genes [21], [22], [23] and there has only been one previous study of a smaller cohort of ovarian tumours [>>12<<]. In this study we have therefore attempted to circumvent some of the issues of examining expression or copy number in isolation by integrating two data sets obtained from microdissected tumour epithelial cells.
n3:mentions
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The proportion of differentially expressed genes in our study is consistent with previous studies of other cancer types [>>24<<] supporting the concept that copy number can have a strong influence on gene expression.
n3:mentions
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This gene encodes for a pre-mRNA splicing factor thought to be involved in the recognition of 3′ splice sites [>>25<<]. It may also inhibit transcription by interacting with the TFIIH helicase, the key factor mutated in the cancer-prone syndrome xeroderma pigmentosum, and this interaction is implicated in the correct regulation of MYC transcription [26],
n3:mentions
n2:17579712
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It may also inhibit transcription by interacting with the TFIIH helicase, the key factor mutated in the cancer-prone syndrome xeroderma pigmentosum, and this interaction is implicated in the correct regulation of MYC transcription [>>26<<], [27].
n3:mentions
n2:11239393
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may also inhibit transcription by interacting with the TFIIH helicase, the key factor mutated in the cancer-prone syndrome xeroderma pigmentosum, and this interaction is implicated in the correct regulation of MYC transcription [26], [>>27<<].
n3:mentions
n2:10882074
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e BTB/POZ-ZF family of transcription factors [>>28<<]. First discovered in Drosophila, this family consists of about 60 human proteins including several cancer related proteins such as leukaemia related factor (LRF/ZBTB7) and B-cell lymphoma 6 (BCL6).
n3:mentions
n2:10873615
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While the role of MYNN in cancer is yet to be characterised, other members of this family are similarly overexpressed in tumors [>>29<<].
n3:mentions
n2:16996269
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The protein encoded by this gene functions as an activator of Aurora-A with a role in spindle assembly [>>30<<]. Interestingly for ovarian cancer, it has been shown to interact with the BRCA1/BARD1 complex (15). Recently, it has been identified as a potential oncogene in pancreatic cancer [31].
n3:mentions
n2:12177045
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Recently, it has been identified as a potential oncogene in pancreatic cancer [>>31<<].
n3:mentions
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The example of MYC, not strongly expressed in our data but previously shown to have a functional effect in ovarian cancer cell lines [>>32<<], clearly indicates that our approach should be considered complementary to others such as functional screens and deep sequencing of primary cancer samples.
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