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Proteogenomic studies in epithelial ovarian cancer: established knowledge and future needs

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Τίτλος: Proteogenomic studies in epithelial ovarian cancer: established knowledge and future needs
Συγγραφείς: Jacob, Francis, Goldstein, Darlene R., Fink, Daniel, Heinzelmann-Schwarz, Viola
Έτος έκδοσης: 2010
Συλλογή: Ecole Polytechnique Fédérale Lausanne (EPFL): Infoscience
Θεματικοί όροι: biomarkers, diagnostics, glycomics, microarray, ovarian cancer, ovary, post-translational modifications, profiling, proteomics, transcriptomics, Gene-Expression Profiles, Complementary-Dna Microarray, Probe Level Data, Mass-Spectrometry, Serous Carcinoma, Cdna Microarray, Fallopian-Tube, Breast-Cancer, Discovery
Περιγραφή: There has been a concerted effort over the last decade to improve our understanding of the complex biology of ovarian cancer. A linear growth in published proteogenomic studies has addressed a variety of questions regarding its molecular pathogenesis. A number of genes have been identified by transcriptomic approaches, some of which are being investigated as putative tumor markers (HE4, OPN, Ep-CAM and Mesothelin), whilst others are potential targets for molecular therapeutic approaches (VEGF, 104, EGFR, MUC1, CLDN4 and SLPI). Proteogenomics has the potential to further change our current characterization and treatment of ovarian cancer. Additional advances will depend on integrated study designs, interdisciplinary collaborations, use of robust high-throughput platforms, as well as uniform guidelines for bioinformatic analyses. ; STAT
Τύπος εγγράφου: article in journal/newspaper
Γλώσσα: unknown
Relation: Biomarkers In Medicine; https://infoscience.epfl.ch/handle/20.500.14299/59492; WOS:000273409100017
DOI: 10.2217/BMM.09.48
Διαθεσιμότητα: https://doi.org/10.2217/BMM.09.48
https://infoscience.epfl.ch/handle/20.500.14299/59492
https://hdl.handle.net/20.500.14299/59492
Αριθμός Καταχώρησης: edsbas.24CF348D
Βάση Δεδομένων: BASE
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  – Url: https://doi.org/10.2217/BMM.09.48#
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  Data: Proteogenomic studies in epithelial ovarian cancer: established knowledge and future needs
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  Data: <searchLink fieldCode="AR" term="%22Jacob%2C+Francis%22">Jacob, Francis</searchLink><br /><searchLink fieldCode="AR" term="%22Goldstein%2C+Darlene+R%2E%22">Goldstein, Darlene R.</searchLink><br /><searchLink fieldCode="AR" term="%22Fink%2C+Daniel%22">Fink, Daniel</searchLink><br /><searchLink fieldCode="AR" term="%22Heinzelmann-Schwarz%2C+Viola%22">Heinzelmann-Schwarz, Viola</searchLink>
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  Data: 2010
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  Data: Ecole Polytechnique Fédérale Lausanne (EPFL): Infoscience
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  Data: <searchLink fieldCode="DE" term="%22biomarkers%22">biomarkers</searchLink><br /><searchLink fieldCode="DE" term="%22diagnostics%22">diagnostics</searchLink><br /><searchLink fieldCode="DE" term="%22glycomics%22">glycomics</searchLink><br /><searchLink fieldCode="DE" term="%22microarray%22">microarray</searchLink><br /><searchLink fieldCode="DE" term="%22ovarian+cancer%22">ovarian cancer</searchLink><br /><searchLink fieldCode="DE" term="%22ovary%22">ovary</searchLink><br /><searchLink fieldCode="DE" term="%22post-translational+modifications%22">post-translational modifications</searchLink><br /><searchLink fieldCode="DE" term="%22profiling%22">profiling</searchLink><br /><searchLink fieldCode="DE" term="%22proteomics%22">proteomics</searchLink><br /><searchLink fieldCode="DE" term="%22transcriptomics%22">transcriptomics</searchLink><br /><searchLink fieldCode="DE" term="%22Gene-Expression+Profiles%22">Gene-Expression Profiles</searchLink><br /><searchLink fieldCode="DE" term="%22Complementary-Dna+Microarray%22">Complementary-Dna Microarray</searchLink><br /><searchLink fieldCode="DE" term="%22Probe+Level+Data%22">Probe Level Data</searchLink><br /><searchLink fieldCode="DE" term="%22Mass-Spectrometry%22">Mass-Spectrometry</searchLink><br /><searchLink fieldCode="DE" term="%22Serous+Carcinoma%22">Serous Carcinoma</searchLink><br /><searchLink fieldCode="DE" term="%22Cdna+Microarray%22">Cdna Microarray</searchLink><br /><searchLink fieldCode="DE" term="%22Fallopian-Tube%22">Fallopian-Tube</searchLink><br /><searchLink fieldCode="DE" term="%22Breast-Cancer%22">Breast-Cancer</searchLink><br /><searchLink fieldCode="DE" term="%22Discovery%22">Discovery</searchLink>
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  Data: There has been a concerted effort over the last decade to improve our understanding of the complex biology of ovarian cancer. A linear growth in published proteogenomic studies has addressed a variety of questions regarding its molecular pathogenesis. A number of genes have been identified by transcriptomic approaches, some of which are being investigated as putative tumor markers (HE4, OPN, Ep-CAM and Mesothelin), whilst others are potential targets for molecular therapeutic approaches (VEGF, 104, EGFR, MUC1, CLDN4 and SLPI). Proteogenomics has the potential to further change our current characterization and treatment of ovarian cancer. Additional advances will depend on integrated study designs, interdisciplinary collaborations, use of robust high-throughput platforms, as well as uniform guidelines for bioinformatic analyses. ; STAT
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  Data: Biomarkers In Medicine; https://infoscience.epfl.ch/handle/20.500.14299/59492; WOS:000273409100017
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      – TitleFull: Proteogenomic studies in epithelial ovarian cancer: established knowledge and future needs
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