Predicting prognosis of breast cancer with gene signatures: are we lost in a sea of data?
Abstract A large number of prognostic and predictive signatures have been proposed for breast cancer and a few of these are now available in the clinic as new molecular diagnostic tests. However, several other signatures have not fared well in validation studies. Some investigators continue to be pu...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Iwamoto, Takayuki [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2010 |
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| Schlagwörter: |
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| Anmerkung: |
© BioMed Central Ltd. 2010 |
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| Übergeordnetes Werk: |
Enthalten in: Genome medicine - London : BioMed Central, 2009, 2(2010), 11 vom: 12. Nov. |
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| Übergeordnetes Werk: |
volume:2 ; year:2010 ; number:11 ; day:12 ; month:11 |
| Links: |
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| DOI / URN: |
10.1186/gm202 |
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10.1186/gm202 doi (DE-627)SPR030565790 (SPR)gm202-e DE-627 ger DE-627 rakwb eng Iwamoto, Takayuki verfasserin aut Predicting prognosis of breast cancer with gene signatures: are we lost in a sea of data? 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © BioMed Central Ltd. 2010 Abstract A large number of prognostic and predictive signatures have been proposed for breast cancer and a few of these are now available in the clinic as new molecular diagnostic tests. However, several other signatures have not fared well in validation studies. Some investigators continue to be puzzled by the diversity of signatures that are being developed for the same purpose but that share few or no common genes. The history of empirical development of prognostic gene signatures and the unique association between molecular subsets and clinical phenotypes of breast cancer explain many of these apparent contradictions in the literature. Three features of breast cancer gene expression contribute to this: the large number of individually prognostic genes (differentially expressed between good and bad prognosis cases); the unstable rankings of differentially expressed genes between datasets; and the highly correlated expression of informative genes. Breast Cancer (dpeaa)DE-He213 Prognostic Gene Signature (dpeaa)DE-He213 Informative Gene (dpeaa)DE-He213 Prognostic Gene (dpeaa)DE-He213 Molecular Diagnostic Test (dpeaa)DE-He213 Pusztai, Lajos aut Enthalten in Genome medicine London : BioMed Central, 2009 2(2010), 11 vom: 12. Nov. (DE-627)594424275 (DE-600)2484394-5 1756-994X nnns volume:2 year:2010 number:11 day:12 month:11 https://dx.doi.org/10.1186/gm202 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2 2010 11 12 11 |
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10.1186/gm202 doi (DE-627)SPR030565790 (SPR)gm202-e DE-627 ger DE-627 rakwb eng Iwamoto, Takayuki verfasserin aut Predicting prognosis of breast cancer with gene signatures: are we lost in a sea of data? 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © BioMed Central Ltd. 2010 Abstract A large number of prognostic and predictive signatures have been proposed for breast cancer and a few of these are now available in the clinic as new molecular diagnostic tests. However, several other signatures have not fared well in validation studies. Some investigators continue to be puzzled by the diversity of signatures that are being developed for the same purpose but that share few or no common genes. The history of empirical development of prognostic gene signatures and the unique association between molecular subsets and clinical phenotypes of breast cancer explain many of these apparent contradictions in the literature. Three features of breast cancer gene expression contribute to this: the large number of individually prognostic genes (differentially expressed between good and bad prognosis cases); the unstable rankings of differentially expressed genes between datasets; and the highly correlated expression of informative genes. Breast Cancer (dpeaa)DE-He213 Prognostic Gene Signature (dpeaa)DE-He213 Informative Gene (dpeaa)DE-He213 Prognostic Gene (dpeaa)DE-He213 Molecular Diagnostic Test (dpeaa)DE-He213 Pusztai, Lajos aut Enthalten in Genome medicine London : BioMed Central, 2009 2(2010), 11 vom: 12. Nov. (DE-627)594424275 (DE-600)2484394-5 1756-994X nnns volume:2 year:2010 number:11 day:12 month:11 https://dx.doi.org/10.1186/gm202 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2 2010 11 12 11 |
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10.1186/gm202 doi (DE-627)SPR030565790 (SPR)gm202-e DE-627 ger DE-627 rakwb eng Iwamoto, Takayuki verfasserin aut Predicting prognosis of breast cancer with gene signatures: are we lost in a sea of data? 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © BioMed Central Ltd. 2010 Abstract A large number of prognostic and predictive signatures have been proposed for breast cancer and a few of these are now available in the clinic as new molecular diagnostic tests. However, several other signatures have not fared well in validation studies. Some investigators continue to be puzzled by the diversity of signatures that are being developed for the same purpose but that share few or no common genes. The history of empirical development of prognostic gene signatures and the unique association between molecular subsets and clinical phenotypes of breast cancer explain many of these apparent contradictions in the literature. Three features of breast cancer gene expression contribute to this: the large number of individually prognostic genes (differentially expressed between good and bad prognosis cases); the unstable rankings of differentially expressed genes between datasets; and the highly correlated expression of informative genes. Breast Cancer (dpeaa)DE-He213 Prognostic Gene Signature (dpeaa)DE-He213 Informative Gene (dpeaa)DE-He213 Prognostic Gene (dpeaa)DE-He213 Molecular Diagnostic Test (dpeaa)DE-He213 Pusztai, Lajos aut Enthalten in Genome medicine London : BioMed Central, 2009 2(2010), 11 vom: 12. Nov. (DE-627)594424275 (DE-600)2484394-5 1756-994X nnns volume:2 year:2010 number:11 day:12 month:11 https://dx.doi.org/10.1186/gm202 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2 2010 11 12 11 |
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10.1186/gm202 doi (DE-627)SPR030565790 (SPR)gm202-e DE-627 ger DE-627 rakwb eng Iwamoto, Takayuki verfasserin aut Predicting prognosis of breast cancer with gene signatures: are we lost in a sea of data? 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © BioMed Central Ltd. 2010 Abstract A large number of prognostic and predictive signatures have been proposed for breast cancer and a few of these are now available in the clinic as new molecular diagnostic tests. However, several other signatures have not fared well in validation studies. Some investigators continue to be puzzled by the diversity of signatures that are being developed for the same purpose but that share few or no common genes. The history of empirical development of prognostic gene signatures and the unique association between molecular subsets and clinical phenotypes of breast cancer explain many of these apparent contradictions in the literature. Three features of breast cancer gene expression contribute to this: the large number of individually prognostic genes (differentially expressed between good and bad prognosis cases); the unstable rankings of differentially expressed genes between datasets; and the highly correlated expression of informative genes. Breast Cancer (dpeaa)DE-He213 Prognostic Gene Signature (dpeaa)DE-He213 Informative Gene (dpeaa)DE-He213 Prognostic Gene (dpeaa)DE-He213 Molecular Diagnostic Test (dpeaa)DE-He213 Pusztai, Lajos aut Enthalten in Genome medicine London : BioMed Central, 2009 2(2010), 11 vom: 12. Nov. (DE-627)594424275 (DE-600)2484394-5 1756-994X nnns volume:2 year:2010 number:11 day:12 month:11 https://dx.doi.org/10.1186/gm202 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2 2010 11 12 11 |
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10.1186/gm202 doi (DE-627)SPR030565790 (SPR)gm202-e DE-627 ger DE-627 rakwb eng Iwamoto, Takayuki verfasserin aut Predicting prognosis of breast cancer with gene signatures: are we lost in a sea of data? 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © BioMed Central Ltd. 2010 Abstract A large number of prognostic and predictive signatures have been proposed for breast cancer and a few of these are now available in the clinic as new molecular diagnostic tests. However, several other signatures have not fared well in validation studies. Some investigators continue to be puzzled by the diversity of signatures that are being developed for the same purpose but that share few or no common genes. The history of empirical development of prognostic gene signatures and the unique association between molecular subsets and clinical phenotypes of breast cancer explain many of these apparent contradictions in the literature. Three features of breast cancer gene expression contribute to this: the large number of individually prognostic genes (differentially expressed between good and bad prognosis cases); the unstable rankings of differentially expressed genes between datasets; and the highly correlated expression of informative genes. Breast Cancer (dpeaa)DE-He213 Prognostic Gene Signature (dpeaa)DE-He213 Informative Gene (dpeaa)DE-He213 Prognostic Gene (dpeaa)DE-He213 Molecular Diagnostic Test (dpeaa)DE-He213 Pusztai, Lajos aut Enthalten in Genome medicine London : BioMed Central, 2009 2(2010), 11 vom: 12. Nov. (DE-627)594424275 (DE-600)2484394-5 1756-994X nnns volume:2 year:2010 number:11 day:12 month:11 https://dx.doi.org/10.1186/gm202 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2 2010 11 12 11 |
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Enthalten in Genome medicine 2(2010), 11 vom: 12. Nov. volume:2 year:2010 number:11 day:12 month:11 |
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Predicting prognosis of breast cancer with gene signatures: are we lost in a sea of data? Breast Cancer (dpeaa)DE-He213 Prognostic Gene Signature (dpeaa)DE-He213 Informative Gene (dpeaa)DE-He213 Prognostic Gene (dpeaa)DE-He213 Molecular Diagnostic Test (dpeaa)DE-He213 |
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Abstract A large number of prognostic and predictive signatures have been proposed for breast cancer and a few of these are now available in the clinic as new molecular diagnostic tests. However, several other signatures have not fared well in validation studies. Some investigators continue to be puzzled by the diversity of signatures that are being developed for the same purpose but that share few or no common genes. The history of empirical development of prognostic gene signatures and the unique association between molecular subsets and clinical phenotypes of breast cancer explain many of these apparent contradictions in the literature. Three features of breast cancer gene expression contribute to this: the large number of individually prognostic genes (differentially expressed between good and bad prognosis cases); the unstable rankings of differentially expressed genes between datasets; and the highly correlated expression of informative genes. © BioMed Central Ltd. 2010 |
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Abstract A large number of prognostic and predictive signatures have been proposed for breast cancer and a few of these are now available in the clinic as new molecular diagnostic tests. However, several other signatures have not fared well in validation studies. Some investigators continue to be puzzled by the diversity of signatures that are being developed for the same purpose but that share few or no common genes. The history of empirical development of prognostic gene signatures and the unique association between molecular subsets and clinical phenotypes of breast cancer explain many of these apparent contradictions in the literature. Three features of breast cancer gene expression contribute to this: the large number of individually prognostic genes (differentially expressed between good and bad prognosis cases); the unstable rankings of differentially expressed genes between datasets; and the highly correlated expression of informative genes. © BioMed Central Ltd. 2010 |
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Abstract A large number of prognostic and predictive signatures have been proposed for breast cancer and a few of these are now available in the clinic as new molecular diagnostic tests. However, several other signatures have not fared well in validation studies. Some investigators continue to be puzzled by the diversity of signatures that are being developed for the same purpose but that share few or no common genes. The history of empirical development of prognostic gene signatures and the unique association between molecular subsets and clinical phenotypes of breast cancer explain many of these apparent contradictions in the literature. Three features of breast cancer gene expression contribute to this: the large number of individually prognostic genes (differentially expressed between good and bad prognosis cases); the unstable rankings of differentially expressed genes between datasets; and the highly correlated expression of informative genes. © BioMed Central Ltd. 2010 |
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|
| score |
7.399865 |