RERG (Ras-like, oestrogen-regulated, growth-inhibitor) expression in breast cancer: a marker of ER-positive luminal-like subtype

Global gene expression profiling studies have classified breast cancer into a number of distinct biological and molecular classes with clinical relevance. The heterogeneous luminal group, which is largely characterised by oestrogen receptor (ER) expression, appears to contain distinct subgroups with...

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Published in:Breast cancer research and treatment Vol. 128; no. 2; pp. 315 - 326
Main Authors: Habashy, Hany Onsy, Powe, Desmond G., Glaab, Enrico, Ball, Graham, Spiteri, Inmaculada, Krasnogor, Natalio, Garibaldi, Jonathan M., Rakha, Emad A., Green, Andrew R., Caldas, C., Ellis, Ian O.
Format: Journal Article
Language:English
Published: Boston Springer US 01-07-2011
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Abstract Global gene expression profiling studies have classified breast cancer into a number of distinct biological and molecular classes with clinical relevance. The heterogeneous luminal group, which is largely characterised by oestrogen receptor (ER) expression, appears to contain distinct subgroups with differing behaviour. In this study, we analysed 47,293 gene transcripts in 128 invasive breast carcinomas (BC) using Artificial Neural Networks and a cross-validation analysis in combination with an ensemble sample classification to identify genes that can be used to subclassify ER+ luminal tumours. The results were validated using immunohistochemistry on TMAs containing 1,140 invasive breast cancers. Our results showed that the RERG gene is one of the highest ranked genes to differentiate between ER+ luminal-like and ER− non-luminal cancers based on a 10-fold external cross-validation analysis with an average classification accuracy of 89%. This was confirmed in our protein expression studies that showed RERG positive associations with markers of luminal differentiation including ER, luminal cytokeratins (CK19, CK18 and CK7/8) and FOXA1 ( P  = 0.004) and other markers of good prognosis in BC including small size, lower histologic grade and positive expression of androgen receptor, nuclear BRCA1, FHIT and cell cycle inhibitors p27 and p21. RERG expression was inversely associated with the proliferation marker MIB1 ( P  = 0.005) and p53. Strong RERG expression showed an association with longer breast cancer specific survival and distant metastasis free interval in the whole series as well as in the ER+ luminal group and these associations were independent of other prognostic variables. In conclusion, we used novel bioinformatics methods to identify candidate genes to characterise ER+ luminal-like breast cancer. RERG gene is a key marker of the luminal BC class and can be used to separate distinct prognostic subgroups.
AbstractList Global gene expression profiling studies have classified breast cancer into a number of distinct biological and molecular classes with clinical relevance. The heterogeneous luminal group, which is largely characterised by oestrogen receptor (ER) expression, appears to contain distinct subgroups with differing behaviour. In this study, we analysed 47,293 gene transcripts in 128 invasive breast carcinomas (BC) using Artificial Neural Networks and a cross-validation analysis in combination with an ensemble sample classification to identify genes that can be used to subclassify ER+ luminal tumours. The results were validated using immunohistochemistry on TMAs containing 1,140 invasive breast cancers. Our results showed that the RERG gene is one of the highest ranked genes to differentiate between ER+ luminal-like and ER- non-luminal cancers based on a 10-fold external cross-validation analysis with an average classification accuracy of 89%. This was confirmed in our protein expression studies that showed RERG positive associations with markers of luminal differentiation including ER, luminal cytokeratins (CK19, CK18 and CK7/8) and FOXA1 (P = 0.004) and other markers of good prognosis in BC including small size, lower histologic grade and positive expression of androgen receptor, nuclear BRCA1, FHIT and cell cycle inhibitors p27 and p21. RERG expression was inversely associated with the proliferation marker MIB1 (P = 0.005) and p53. Strong RERG expression showed an association with longer breast cancer specific survival and distant metastasis free interval in the whole series as well as in the ER+ luminal group and these associations were independent of other prognostic variables. In conclusion, we used novel bioinformatics methods to identify candidate genes to characterise ER+ luminal-like breast cancer. RERG gene is a key marker of the luminal BC class and can be used to separate distinct prognostic subgroups. Keywords Breast carcinoma * RERG * Gene expression * Luminal * Oestrogen receptor * Immunohistochemistry
Global gene expression profiling studies have classified breast cancer into a number of distinct biological and molecular classes with clinical relevance. The heterogeneous luminal group, which is largely characterised by oestrogen receptor (ER) expression, appears to contain distinct subgroups with differing behaviour. In this study, we analysed 47,293 gene transcripts in 128 invasive breast carcinomas (BC) using Artificial Neural Networks and a cross-validation analysis in combination with an ensemble sample classification to identify genes that can be used to subclassify ER+ luminal tumours. The results were validated using immunohistochemistry on TMAs containing 1,140 invasive breast cancers. Our results showed that the RERG gene is one of the highest ranked genes to differentiate between ER+ luminal-like and ER- non-luminal cancers based on a 10-fold external cross-validation analysis with an average classification accuracy of 89%. This was confirmed in our protein expression studies that showed RERG positive associations with markers of luminal differentiation including ER, luminal cytokeratins (CK19, CK18 and CK7/8) and FOXA1 (P = 0.004) and other markers of good prognosis in BC including small size, lower histologic grade and positive expression of androgen receptor, nuclear BRCA1, FHIT and cell cycle inhibitors p27 and p21. RERG expression was inversely associated with the proliferation marker MIB1 (P = 0.005) and p53. Strong RERG expression showed an association with longer breast cancer specific survival and distant metastasis free interval in the whole series as well as in the ER+ luminal group and these associations were independent of other prognostic variables. In conclusion, we used novel bioinformatics methods to identify candidate genes to characterise ER+ luminal-like breast cancer. RERG gene is a key marker of the luminal BC class and can be used to separate distinct prognostic subgroups.
Global gene expression profiling studies have classified breast cancer into a number of distinct biological and molecular classes with clinical relevance. The heterogeneous luminal group, which is largely characterized by estrogen receptor (ER) expression, appears to contain distinct subgroups with differing behavior. In this study, we analyzed 47,293 gene transcripts in 128 invasive breast carcinomas (BC) using Artificial Neural Networks and a cross-validation analysis in combination with an ensemble sample classification to identify genes that can be used to subclassify ER+ luminal tumors. The results were validated using immunohistochemistry on TMAs containing 1,140 invasive breast cancers. Our results showed that the RERG gene is one of the highest ranked genes to differentiate between ER+ luminal-like and ER- non-luminal cancers based on a 10-fold external cross-validation analysis with an average classification accuracy of 89%. This was confirmed in our protein expression studies that showed RERG positive associations with markers of luminal differentiation including ER, luminal cytokeratins (CK19, CK18 and CK7/8) and FOXA1 (P = 0.004) and other markers of good prognosis in BC including small size, lower histologic grade and positive expression of androgen receptor, nuclear BRCA1, FHIT and cell cycle inhibitors p27 and p21. RERG expression was inversely associated with the proliferation marker MIB1 (P = 0.005) and p53. Strong RERG expression showed an association with longer breast cancer specific survival and distant metastasis free interval in the whole series as well as in the ER+ luminal group and these associations were independent of other prognostic variables. In conclusion, we used novel bioinformatics methods to identify candidate genes to characterize ER+ luminal-like breast cancer. RERG gene is a key marker of the luminal BC class and can be used to separate distinct prognostic subgroups.[PUBLICATION ABSTRACT]
Global gene expression profiling studies have classified breast cancer into a number of distinct biological and molecular classes with clinical relevance. The heterogeneous luminal group, which is largely characterised by oestrogen receptor (ER) expression, appears to contain distinct subgroups with differing behaviour. In this study, we analysed 47,293 gene transcripts in 128 invasive breast carcinomas (BC) using Artificial Neural Networks and a cross-validation analysis in combination with an ensemble sample classification to identify genes that can be used to subclassify ER+ luminal tumours. The results were validated using immunohistochemistry on TMAs containing 1,140 invasive breast cancers. Our results showed that the RERG gene is one of the highest ranked genes to differentiate between ER+ luminal-like and ER− non-luminal cancers based on a 10-fold external cross-validation analysis with an average classification accuracy of 89%. This was confirmed in our protein expression studies that showed RERG positive associations with markers of luminal differentiation including ER, luminal cytokeratins (CK19, CK18 and CK7/8) and FOXA1 ( P  = 0.004) and other markers of good prognosis in BC including small size, lower histologic grade and positive expression of androgen receptor, nuclear BRCA1, FHIT and cell cycle inhibitors p27 and p21. RERG expression was inversely associated with the proliferation marker MIB1 ( P  = 0.005) and p53. Strong RERG expression showed an association with longer breast cancer specific survival and distant metastasis free interval in the whole series as well as in the ER+ luminal group and these associations were independent of other prognostic variables. In conclusion, we used novel bioinformatics methods to identify candidate genes to characterise ER+ luminal-like breast cancer. RERG gene is a key marker of the luminal BC class and can be used to separate distinct prognostic subgroups.
Global gene expression profiling studies have classified breast cancer into a number of distinct biological and molecular classes with clinical relevance. The heterogeneous luminal group, which is largely characterised by oestrogen receptor (ER) expression, appears to contain distinct subgroups with differing behaviour. In this study, we analysed 47,293 gene transcripts in 128 invasive breast carcinomas (BC) using Artificial Neural Networks and a cross-validation analysis in combination with an ensemble sample classification to identify genes that can be used to subclassify ER+ luminal tumours. The results were validated using immunohistochemistry on TMAs containing 1,140 invasive breast cancers. Our results showed that the RERG gene is one of the highest ranked genes to differentiate between ER+ luminal-like and ER− non-luminal cancers based on a 10-fold external cross-validation analysis with an average classification accuracy of 89%. This was confirmed in our protein expression studies that showed RERG positive associations with markers of luminal differentiation including ER, luminal cytokeratins (CK19, CK18 and CK7/8) and FOXA1 ( = 0.004) and other markers of good prognosis in BC including small size, lower histologic grade and positive expression of androgen receptor, nuclear BRCA1, FHIT and cell cycle inhibitors p27 and p21. RERG expression was inversely associated with the proliferation marker MIB1 ( = 0.005) and p53. Strong RERG expression showed an association with longer breast cancer specific survival and distant metastasis free interval in the whole series as well as in the ER+ luminal group and these associations were independent of other prognostic variables. In conclusion, we used novel bioinformatics methods to identify candidate genes to characterise ER+ luminal-like breast cancer. RERG gene is a key marker of the luminal BC class and can be used to separate distinct prognostic subgroups.
Audience Academic
Author Habashy, Hany Onsy
Rakha, Emad A.
Garibaldi, Jonathan M.
Green, Andrew R.
Caldas, C.
Ball, Graham
Powe, Desmond G.
Spiteri, Inmaculada
Ellis, Ian O.
Glaab, Enrico
Krasnogor, Natalio
Author_xml – sequence: 1
  givenname: Hany Onsy
  surname: Habashy
  fullname: Habashy, Hany Onsy
  organization: Department of Pathology, School of Molecular Medical Sciences, Nottingham University Hospitals NHS Trust, University of Nottingham, Department of Histopathology, Faculty of Medicine, Mansoura University
– sequence: 2
  givenname: Desmond G.
  surname: Powe
  fullname: Powe, Desmond G.
  organization: Department of Cellular Pathology, Queen’s Medical Centre, Nottingham University Hospitals NHS Trust
– sequence: 3
  givenname: Enrico
  surname: Glaab
  fullname: Glaab, Enrico
  organization: School of Computer Science, University of Nottingham
– sequence: 4
  givenname: Graham
  surname: Ball
  fullname: Ball, Graham
  organization: John Van Geest Cancer Research Centre, School of Science and Technology, Nottingham Trent University
– sequence: 5
  givenname: Inmaculada
  surname: Spiteri
  fullname: Spiteri, Inmaculada
  organization: Department of Oncology, University of Cambridge, Cancer Research UK Cambridge Research Institute
– sequence: 6
  givenname: Natalio
  surname: Krasnogor
  fullname: Krasnogor, Natalio
  organization: School of Computer Science, University of Nottingham
– sequence: 7
  givenname: Jonathan M.
  surname: Garibaldi
  fullname: Garibaldi, Jonathan M.
  organization: School of Computer Science, University of Nottingham
– sequence: 8
  givenname: Emad A.
  surname: Rakha
  fullname: Rakha, Emad A.
  organization: Department of Pathology, School of Molecular Medical Sciences, Nottingham University Hospitals NHS Trust, University of Nottingham
– sequence: 9
  givenname: Andrew R.
  surname: Green
  fullname: Green, Andrew R.
  organization: Department of Pathology, School of Molecular Medical Sciences, Nottingham University Hospitals NHS Trust, University of Nottingham
– sequence: 10
  givenname: C.
  surname: Caldas
  fullname: Caldas, C.
  organization: Department of Oncology, University of Cambridge, Cancer Research UK Cambridge Research Institute
– sequence: 11
  givenname: Ian O.
  surname: Ellis
  fullname: Ellis, Ian O.
  email: Ian.Ellis@nottingham.ac.uk
  organization: Department of Pathology, School of Molecular Medical Sciences, Nottingham University Hospitals NHS Trust, University of Nottingham, Department of Histopathology, Molecular Medical Sciences, Nottingham City Hospital NHS Trust, University of Nottingham
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Cites_doi 10.1007/BF01840834
10.1073/pnas.0932692100
10.1186/gb-2007-8-10-r215
10.1007/s10549-006-9242-8
10.1007/s10549-009-0450-x
10.1200/JCO.2007.15.5986
10.1038/323533a0
10.1073/pnas.082099299
10.1158/1078-0432.CCR-08-2132
10.1074/jbc.M105888200
10.1002/ijc.21004
10.1002/path.1357
10.1186/1471-2105-10-358
10.1007/s10549-009-0345-x
10.1073/pnas.1732912100
10.1007/s10549-009-0378-1
10.1111/j.1365-2559.1992.tb01032.x
10.1038/sj.bjc.6602184
10.1186/gb-2007-8-10-r214
10.1111/j.1365-2559.1991.tb00229.x
10.1073/pnas.191367098
10.1016/j.artmed.2008.03.001
10.1038/35021093
10.1016/j.ejca.2008.04.020
10.1007/s10549-009-0419-9
10.1002/ijc.24860
10.2202/1544-6115.1027
ContentType Journal Article
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2015 INIST-CNRS
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ISSN 0167-6806
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IsDoiOpenAccess true
IsOpenAccess true
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IsScholarly true
Issue 2
Keywords Immunohistochemistry
Breast carcinoma
Gene expression
Luminal
RERG
Oestrogen receptor
Growth inhibitor
Estrogen receptor
Breast disease
Biological marker
Breast cancer
Malignant tumor
Mammary gland diseases
Anatomic pathology
C-Onc gene
Ras gene
Sex steroid hormone
Subtype
Protooncogene
Cancer
Hormonal receptor
Language English
License CC BY 4.0
Distributed under a Creative Commons Attribution 4.0 International License: http://creativecommons.org/licenses/by/4.0
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ORCID 0000-0003-3977-7469
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PMID 20697807
PQID 878079152
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PublicationTitle Breast cancer research and treatment
PublicationTitleAbbrev Breast Cancer Res Treat
PublicationTitleAlternate Breast Cancer Res Treat
PublicationYear 2011
Publisher Springer US
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Springer Nature B.V
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References Madjd, Pinder, Paish, Ellis, Carmichael, Durrant (CR22) 2003; 200
Galea, Blamey, Elston, Ellis (CR24) 1992; 22
Finlin, Gau, Murphy, Shao, Kimel, Seitz, Chiu, Botstein, Brown, Tamanoi (CR11) 2001; 276
Rakha, Elsheikh, Aleskandarany, Habashi, Green, Powe, El-Sayed, Benhasouna, Brunet, Akslen (CR25) 2009; 15
Lancashire, Powe, Reis-Filho, Rakha, Lemetre, Weigelt, Abdel-Fatah, Green, Mukta, Blamey (CR10) 2010; 120
Smyth (CR16) 2004; 3
Sorlie, Perou, Tibshirani, Aas, Geisler, Johnsen, Hastie, Eisen, van de Rijn, Jeffrey (CR2) 2001; 98
Sotiriou, Neo, McShane, Korn, Long, Jazaeri, Martiat, Fox, Harris, Liu (CR3) 2003; 100
Abd El-Rehim, Ball, Pinder, Rakha, Paish, Robertson, Macmillan, Blamey, Ellis (CR15) 2005; 116
Elston, Ellis (CR20) 1991; 19
Galea, Blamey, Elston, Ellis (CR21) 1992; 22
Perou, Sorlie, Eisen, van de Rijn, Jeffrey, Rees, Pollack, Ross, Johnsen, Akslen (CR1) 2000; 406
Lancashire, Rees, Ball (CR8) 2008; 43
Habashy, Powe, Rakha, Ball, Paish, Gee, Nicholson, Ellis (CR7) 2008; 44
Aleskandarany, Green, Rakha, Mohammed, Elsheikh, Powe, Paish, Macmillan, Chan, Ahmed (CR26) 2010; 126
Rakha, El-Sayed, Lee, Elston, Grainge, Hodi, Blamey, Ellis (CR23) 2008; 26
Glaab, Garibaldi, Krasnogor (CR18) 2009; 10
Ellis, Galea, Broughton, Locker, Blamey, Elston (CR19) 1992; 20
Chin, Teschendorff, Marioni, Wang, Barbosa-Morais, Thorne, Costa, Pinder, van de Wiel, Green (CR12) 2007; 8
Abd El-Rehim, Pinder, Paish, Bell, Rampaul, Blamey, Robertson, Nicholson, Ellis (CR27) 2004; 91
Sorlie, Tibshirani, Parker, Hastie, Marron, Nobel, Deng, Johnsen, Pesich, Geisler (CR4) 2003; 100
Rumelhart, Hinton, Williams (CR9) 1986; 323
Zhang, Rakha, Ball, Spiteri, Aleskandarany, Paish, Powe, Macmillan, Caldas, Ellis (CR14) 2010; 121
Tibshirani, Hastie, Narasimhan, Chu (CR17) 2002; 99
Habashy, Powe, Rakha, Ball, Macmillan, Green, Ellis (CR5) 2010; 120
Blenkiron, Goldstein, Thorne, Spiteri, Chin, Dunning, Barbosa-Morais, Teschendorff, Green, Ellis (CR13) 2007; 8
McShane, Altman, Sauerbrei, Taube, Gion, Clark (CR28) 2006; 100
Habashy, Powe, Staka, Rakha, Ball, Green, Aleskandarany, Paish, Douglas Macmillan, Nicholson (CR6) 2010; 119
LM McShane (1073_CR28) 2006; 100
EA Rakha (1073_CR25) 2009; 15
H Zhang (1073_CR14) 2010; 121
T Sorlie (1073_CR2) 2001; 98
CW Elston (1073_CR20) 1991; 19
MH Galea (1073_CR21) 1992; 22
EA Rakha (1073_CR23) 2008; 26
IO Ellis (1073_CR19) 1992; 20
LJ Lancashire (1073_CR8) 2008; 43
Z Madjd (1073_CR22) 2003; 200
BS Finlin (1073_CR11) 2001; 276
MH Galea (1073_CR24) 1992; 22
E Glaab (1073_CR18) 2009; 10
DE Rumelhart (1073_CR9) 1986; 323
S Chin (1073_CR12) 2007; 8
R Tibshirani (1073_CR17) 2002; 99
L Lancashire (1073_CR10) 2010; 120
1073_CR16
DM Abd El-Rehim (1073_CR27) 2004; 91
CM Perou (1073_CR1) 2000; 406
T Sorlie (1073_CR4) 2003; 100
H Habashy (1073_CR5) 2010; 120
MA Aleskandarany (1073_CR26) 2010; 126
C Sotiriou (1073_CR3) 2003; 100
DM Abd El-Rehim (1073_CR15) 2005; 116
HO Habashy (1073_CR7) 2008; 44
C Blenkiron (1073_CR13) 2007; 8
H Habashy (1073_CR6) 2010; 119
References_xml – volume: 22
  start-page: 207
  issue: 3
  year: 1992
  end-page: 219
  ident: CR21
  article-title: The Nottingham prognostic index in primary breast-cancer
  publication-title: Breast Cancer Res Treat
  doi: 10.1007/BF01840834
  contributor:
    fullname: Ellis
– volume: 3
  start-page: Article3
  year: 2004
  ident: CR16
  article-title: Linear models and empirical bayes methods for assessing differential expression in microarray experiments
  publication-title: Stat Appl Genet Mol Biol
  contributor:
    fullname: Smyth
– volume: 100
  start-page: 8418
  issue: 14
  year: 2003
  end-page: 8423
  ident: CR4
  article-title: Repeated observation of breast tumor subtypes in independent gene expression data sets
  publication-title: Proc Natl Acad Sci USA
  doi: 10.1073/pnas.0932692100
  contributor:
    fullname: Geisler
– volume: 8
  start-page: R215
  issue: 10
  year: 2007
  ident: CR12
  article-title: High-resolution aCGH and expression profiling identifies a novel genomic subtype of ER negative breast cancer
  publication-title: Genome Biol
  doi: 10.1186/gb-2007-8-10-r215
  contributor:
    fullname: Green
– volume: 100
  start-page: 229
  issue: 2
  year: 2006
  end-page: 235
  ident: CR28
  article-title: REporting recommendations for tumor MARKer prognostic studies (REMARK)
  publication-title: Breast Cancer Res Treat
  doi: 10.1007/s10549-006-9242-8
  contributor:
    fullname: Clark
– volume: 121
  start-page: 41
  issue: 1
  year: 2010
  end-page: 51
  ident: CR14
  article-title: The proteins FABP7 and OATP2 are associated with the basal phenotype and patient outcome in human breast cancer
  publication-title: Breast Cancer Res Treat
  doi: 10.1007/s10549-009-0450-x
  contributor:
    fullname: Ellis
– volume: 26
  start-page: 3153
  issue: 19
  year: 2008
  end-page: 3158
  ident: CR23
  article-title: Prognostic significance of Nottingham histologic grade in invasive breast carcinoma
  publication-title: J Clin Oncol
  doi: 10.1200/JCO.2007.15.5986
  contributor:
    fullname: Ellis
– volume: 323
  start-page: 533
  issue: 6088
  year: 1986
  end-page: 536
  ident: CR9
  article-title: Learning representations by back-propagating errors
  publication-title: Nature
  doi: 10.1038/323533a0
  contributor:
    fullname: Williams
– volume: 99
  start-page: 6567
  issue: 10
  year: 2002
  end-page: 6572
  ident: CR17
  article-title: Diagnosis of multiple cancer types by shrunken centroids of gene expression
  publication-title: Proc Natl Acad Sci USA
  doi: 10.1073/pnas.082099299
  contributor:
    fullname: Chu
– volume: 15
  start-page: 2302
  issue: 7
  year: 2009
  end-page: 2310
  ident: CR25
  article-title: Triple-negative breast cancer: distinguishing between basal and nonbasal subtypes
  publication-title: Clin Cancer Res
  doi: 10.1158/1078-0432.CCR-08-2132
  contributor:
    fullname: Akslen
– volume: 276
  start-page: 42259
  issue: 45
  year: 2001
  end-page: 42267
  ident: CR11
  article-title: RERG is a novel ras-related, estrogen-regulated and growth-inhibitory gene in breast cancer
  publication-title: J Biol Chem
  doi: 10.1074/jbc.M105888200
  contributor:
    fullname: Tamanoi
– volume: 116
  start-page: 340
  issue: 3
  year: 2005
  end-page: 350
  ident: CR15
  article-title: High-throughput protein expression analysis using tissue microarray technology of a large well-characterised series identifies biologically distinct classes of breast cancer confirming recent cDNA expression analyses
  publication-title: Int J Cancer
  doi: 10.1002/ijc.21004
  contributor:
    fullname: Ellis
– volume: 200
  start-page: 633
  issue: 5
  year: 2003
  end-page: 639
  ident: CR22
  article-title: Loss of CD59 expression in breast tumours correlates with poor survival
  publication-title: J Pathol
  doi: 10.1002/path.1357
  contributor:
    fullname: Durrant
– volume: 10
  start-page: 358
  issue: 1
  year: 2009
  ident: CR18
  article-title: ArrayMining: a modular web-application for microarray analysis combining ensemble and consensus methods with cross-study normalization
  publication-title: BMC Bioinformatics
  doi: 10.1186/1471-2105-10-358
  contributor:
    fullname: Krasnogor
– volume: 119
  start-page: 283
  issue: 2
  year: 2010
  end-page: 293
  ident: CR6
  article-title: Transferrin receptor (CD71) is a marker of poor prognosis in breast cancer and can predict response to tamoxifen
  publication-title: Breast Cancer Res Treat
  doi: 10.1007/s10549-009-0345-x
  contributor:
    fullname: Nicholson
– volume: 100
  start-page: 10393
  issue: 18
  year: 2003
  end-page: 10398
  ident: CR3
  article-title: Breast cancer classification and prognosis based on gene expression profiles from a population-based study
  publication-title: Proc Natl Acad Sci USA
  doi: 10.1073/pnas.1732912100
  contributor:
    fullname: Liu
– volume: 126
  start-page: 1761
  issue: 7
  year: 2010
  end-page: 1769
  ident: CR26
  article-title: Growth fraction as a predictor of response to chemotherapy in node-negative breast cancer
  publication-title: Int J Cancer
  contributor:
    fullname: Ahmed
– volume: 120
  start-page: 83
  issue: 1
  year: 2010
  end-page: 93
  ident: CR10
  article-title: A validated gene expression profile for detecting clinical outcome in breast cancer using artificial neural networks
  publication-title: Breast Cancer Res Treat
  doi: 10.1007/s10549-009-0378-1
  contributor:
    fullname: Blamey
– volume: 20
  start-page: 479
  issue: 6
  year: 1992
  end-page: 489
  ident: CR19
  article-title: Pathological prognostic factors in breast-cancer. 2. Histological type—relationship with survival in a large study with long-term follow-up
  publication-title: Histopathology
  doi: 10.1111/j.1365-2559.1992.tb01032.x
  contributor:
    fullname: Elston
– volume: 91
  start-page: 1532
  issue: 8
  year: 2004
  end-page: 1542
  ident: CR27
  article-title: Expression and co-expression of the members of the epidermal growth factor receptor (EGFR) family in invasive breast carcinoma
  publication-title: Br J Cancer
  doi: 10.1038/sj.bjc.6602184
  contributor:
    fullname: Ellis
– volume: 8
  start-page: R214
  issue: 10
  year: 2007
  ident: CR13
  article-title: MicroRNA expression profiling of human breast cancer identifies new markers of tumor subtype
  publication-title: Genome Biol
  doi: 10.1186/gb-2007-8-10-r214
  contributor:
    fullname: Ellis
– volume: 19
  start-page: 403
  issue: 5
  year: 1991
  end-page: 410
  ident: CR20
  article-title: Pathological prognostic factors in breast-cancer. 1. The value of histological grade in breast-cancer—experience from a large study with long-term follow-up
  publication-title: Histopathology
  doi: 10.1111/j.1365-2559.1991.tb00229.x
  contributor:
    fullname: Ellis
– volume: 98
  start-page: 10869
  issue: 19
  year: 2001
  end-page: 10874
  ident: CR2
  article-title: Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications
  publication-title: PNAS
  doi: 10.1073/pnas.191367098
  contributor:
    fullname: Jeffrey
– volume: 43
  start-page: 99
  issue: 2
  year: 2008
  end-page: 111
  ident: CR8
  article-title: Identification of gene transcript signatures predictive for estrogen receptor and lymph node status using a stepwise forward selection artificial neural network modelling approach
  publication-title: Artif Intell Med
  doi: 10.1016/j.artmed.2008.03.001
  contributor:
    fullname: Ball
– volume: 406
  start-page: 747
  year: 2000
  end-page: 752
  ident: CR1
  article-title: Molecular portraits of human breast tumours
  publication-title: Nature
  doi: 10.1038/35021093
  contributor:
    fullname: Akslen
– volume: 44
  start-page: 1541
  issue: 11
  year: 2008
  end-page: 1551
  ident: CR7
  article-title: Forkhead-box A1 (FOXA1) expression in breast cancer and its prognostic significance
  publication-title: Eur J Cancer
  doi: 10.1016/j.ejca.2008.04.020
  contributor:
    fullname: Ellis
– volume: 22
  start-page: 207
  issue: 3
  year: 1992
  end-page: 219
  ident: CR24
  article-title: The Nottingham prognostic index in primary breast cancer
  publication-title: Breast Cancer Res Treat
  doi: 10.1007/BF01840834
  contributor:
    fullname: Ellis
– volume: 120
  start-page: 603
  issue: 3
  year: 2010
  end-page: 612
  ident: CR5
  article-title: The prognostic significance of PELP1 expression in invasive breast cancer with emphasis on the ER-positive luminal-like subtype
  publication-title: Breast Cancer Res Treat
  doi: 10.1007/s10549-009-0419-9
  contributor:
    fullname: Ellis
– volume: 44
  start-page: 1541
  issue: 11
  year: 2008
  ident: 1073_CR7
  publication-title: Eur J Cancer
  doi: 10.1016/j.ejca.2008.04.020
  contributor:
    fullname: HO Habashy
– volume: 100
  start-page: 229
  issue: 2
  year: 2006
  ident: 1073_CR28
  publication-title: Breast Cancer Res Treat
  doi: 10.1007/s10549-006-9242-8
  contributor:
    fullname: LM McShane
– volume: 120
  start-page: 83
  issue: 1
  year: 2010
  ident: 1073_CR10
  publication-title: Breast Cancer Res Treat
  doi: 10.1007/s10549-009-0378-1
  contributor:
    fullname: L Lancashire
– volume: 121
  start-page: 41
  issue: 1
  year: 2010
  ident: 1073_CR14
  publication-title: Breast Cancer Res Treat
  doi: 10.1007/s10549-009-0450-x
  contributor:
    fullname: H Zhang
– volume: 43
  start-page: 99
  issue: 2
  year: 2008
  ident: 1073_CR8
  publication-title: Artif Intell Med
  doi: 10.1016/j.artmed.2008.03.001
  contributor:
    fullname: LJ Lancashire
– volume: 22
  start-page: 207
  issue: 3
  year: 1992
  ident: 1073_CR24
  publication-title: Breast Cancer Res Treat
  doi: 10.1007/BF01840834
  contributor:
    fullname: MH Galea
– volume: 26
  start-page: 3153
  issue: 19
  year: 2008
  ident: 1073_CR23
  publication-title: J Clin Oncol
  doi: 10.1200/JCO.2007.15.5986
  contributor:
    fullname: EA Rakha
– volume: 100
  start-page: 10393
  issue: 18
  year: 2003
  ident: 1073_CR3
  publication-title: Proc Natl Acad Sci USA
  doi: 10.1073/pnas.1732912100
  contributor:
    fullname: C Sotiriou
– volume: 120
  start-page: 603
  issue: 3
  year: 2010
  ident: 1073_CR5
  publication-title: Breast Cancer Res Treat
  doi: 10.1007/s10549-009-0419-9
  contributor:
    fullname: H Habashy
– volume: 200
  start-page: 633
  issue: 5
  year: 2003
  ident: 1073_CR22
  publication-title: J Pathol
  doi: 10.1002/path.1357
  contributor:
    fullname: Z Madjd
– volume: 126
  start-page: 1761
  issue: 7
  year: 2010
  ident: 1073_CR26
  publication-title: Int J Cancer
  doi: 10.1002/ijc.24860
  contributor:
    fullname: MA Aleskandarany
– volume: 10
  start-page: 358
  issue: 1
  year: 2009
  ident: 1073_CR18
  publication-title: BMC Bioinformatics
  doi: 10.1186/1471-2105-10-358
  contributor:
    fullname: E Glaab
– volume: 20
  start-page: 479
  issue: 6
  year: 1992
  ident: 1073_CR19
  publication-title: Histopathology
  doi: 10.1111/j.1365-2559.1992.tb01032.x
  contributor:
    fullname: IO Ellis
– volume: 8
  start-page: R214
  issue: 10
  year: 2007
  ident: 1073_CR13
  publication-title: Genome Biol
  doi: 10.1186/gb-2007-8-10-r214
  contributor:
    fullname: C Blenkiron
– volume: 15
  start-page: 2302
  issue: 7
  year: 2009
  ident: 1073_CR25
  publication-title: Clin Cancer Res
  doi: 10.1158/1078-0432.CCR-08-2132
  contributor:
    fullname: EA Rakha
– volume: 99
  start-page: 6567
  issue: 10
  year: 2002
  ident: 1073_CR17
  publication-title: Proc Natl Acad Sci USA
  doi: 10.1073/pnas.082099299
  contributor:
    fullname: R Tibshirani
– volume: 119
  start-page: 283
  issue: 2
  year: 2010
  ident: 1073_CR6
  publication-title: Breast Cancer Res Treat
  doi: 10.1007/s10549-009-0345-x
  contributor:
    fullname: H Habashy
– volume: 100
  start-page: 8418
  issue: 14
  year: 2003
  ident: 1073_CR4
  publication-title: Proc Natl Acad Sci USA
  doi: 10.1073/pnas.0932692100
  contributor:
    fullname: T Sorlie
– volume: 19
  start-page: 403
  issue: 5
  year: 1991
  ident: 1073_CR20
  publication-title: Histopathology
  doi: 10.1111/j.1365-2559.1991.tb00229.x
  contributor:
    fullname: CW Elston
– volume: 116
  start-page: 340
  issue: 3
  year: 2005
  ident: 1073_CR15
  publication-title: Int J Cancer
  doi: 10.1002/ijc.21004
  contributor:
    fullname: DM Abd El-Rehim
– volume: 323
  start-page: 533
  issue: 6088
  year: 1986
  ident: 1073_CR9
  publication-title: Nature
  doi: 10.1038/323533a0
  contributor:
    fullname: DE Rumelhart
– volume: 276
  start-page: 42259
  issue: 45
  year: 2001
  ident: 1073_CR11
  publication-title: J Biol Chem
  doi: 10.1074/jbc.M105888200
  contributor:
    fullname: BS Finlin
– volume: 91
  start-page: 1532
  issue: 8
  year: 2004
  ident: 1073_CR27
  publication-title: Br J Cancer
  doi: 10.1038/sj.bjc.6602184
  contributor:
    fullname: DM Abd El-Rehim
– volume: 22
  start-page: 207
  issue: 3
  year: 1992
  ident: 1073_CR21
  publication-title: Breast Cancer Res Treat
  doi: 10.1007/BF01840834
  contributor:
    fullname: MH Galea
– volume: 406
  start-page: 747
  year: 2000
  ident: 1073_CR1
  publication-title: Nature
  doi: 10.1038/35021093
  contributor:
    fullname: CM Perou
– volume: 98
  start-page: 10869
  issue: 19
  year: 2001
  ident: 1073_CR2
  publication-title: PNAS
  doi: 10.1073/pnas.191367098
  contributor:
    fullname: T Sorlie
– volume: 8
  start-page: R215
  issue: 10
  year: 2007
  ident: 1073_CR12
  publication-title: Genome Biol
  doi: 10.1186/gb-2007-8-10-r215
  contributor:
    fullname: S Chin
– ident: 1073_CR16
  doi: 10.2202/1544-6115.1027
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Snippet Global gene expression profiling studies have classified breast cancer into a number of distinct biological and molecular classes with clinical relevance. The...
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SubjectTerms Adult
Analysis
Biological and medical sciences
Biomarkers
Biomarkers, Tumor - genetics
Biomarkers, Tumor - metabolism
Breast cancer
Breast Neoplasms - genetics
Breast Neoplasms - metabolism
Breast Neoplasms - pathology
Cancer research
Cancer therapies
Carcinoma, Ductal, Breast - genetics
Carcinoma, Ductal, Breast - metabolism
Carcinoma, Ductal, Breast - secondary
Carcinoma, Lobular - genetics
Carcinoma, Lobular - metabolism
Carcinoma, Lobular - secondary
Criminal investigation
Estrogen
Female
Gene expression
Gene Expression Profiling
Genes
GTP Phosphohydrolases - genetics
GTP Phosphohydrolases - metabolism
Gynecology. Andrology. Obstetrics
Humans
Immunoenzyme Techniques
Immunohistochemistry
Lymphatic Metastasis
Mammary gland diseases
Medical prognosis
Medical sciences
Medicine
Medicine & Public Health
Middle Aged
Neoplasm Invasiveness
Neoplasm Recurrence, Local - genetics
Neoplasm Recurrence, Local - metabolism
Neoplasm Staging
Neural networks
Oligonucleotide Array Sequence Analysis
Oncology
Preclinical Study
Prognosis
Receptor, ErbB-2 - genetics
Receptor, ErbB-2 - metabolism
Receptors, Estrogen - genetics
Receptors, Estrogen - metabolism
Receptors, Progesterone - genetics
Receptors, Progesterone - metabolism
Survival Rate
Tumor proteins
Tumors
Title RERG (Ras-like, oestrogen-regulated, growth-inhibitor) expression in breast cancer: a marker of ER-positive luminal-like subtype
URI https://link.springer.com/article/10.1007/s10549-010-1073-y
https://www.ncbi.nlm.nih.gov/pubmed/20697807
https://www.proquest.com/docview/878079152
https://search.proquest.com/docview/873119330
https://search.proquest.com/docview/907169627
https://hal.science/hal-00615369
Volume 128
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