Regulatory T-cells and associated pathways in metastatic renal cell carcinoma (mRCC) patients undergoing DC-vaccination and cytokine-therapy.
<h4<Purpose</h4<To evaluate CD4(+)CD25(+)FOXP3(+) T regulatory cells (T(REG)) and associated immune-regulatory pathways in peripheral blood lymphocytes (PBL) of metastatic renal cell carcinoma (mRCC) patients and healthy volunteers. We subsequently investigated the effects of immunothera...
Ausführliche Beschreibung
Autor*in: |
Adrian Schwarzer [verfasserIn] Benita Wolf [verfasserIn] Jan L Fisher [verfasserIn] Thomas Schwaab [verfasserIn] Sven Olek [verfasserIn] Udo Baron [verfasserIn] Craig R Tomlinson [verfasserIn] John D Seigne [verfasserIn] Nancy A Crosby [verfasserIn] Jiang Gui [verfasserIn] Thomas H Hampton [verfasserIn] Camilo E Fadul [verfasserIn] John A Heaney [verfasserIn] Marc S Ernstoff [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2012 |
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Übergeordnetes Werk: |
In: PLoS ONE - Public Library of Science (PLoS), 2007, 7(2012), 10, p e46600 |
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Übergeordnetes Werk: |
volume:7 ; year:2012 ; number:10, p e46600 |
Links: |
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DOI / URN: |
10.1371/journal.pone.0046600 |
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Katalog-ID: |
DOAJ062936468 |
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520 | |a <h4<Purpose</h4<To evaluate CD4(+)CD25(+)FOXP3(+) T regulatory cells (T(REG)) and associated immune-regulatory pathways in peripheral blood lymphocytes (PBL) of metastatic renal cell carcinoma (mRCC) patients and healthy volunteers. We subsequently investigated the effects of immunotherapy on circulating T(REG) combining an extensive phenotype examination, DNA methylation analysis and global transcriptome analysis.<h4<Design</h4<Eighteen patients with mRCC and twelve volunteers (controls) were available for analysis. T(REG) phenotype was examined using flow cytometry (FCM). T(REG) were also quantified by analyzing the epigenetic status of the FOXP3 locus using methylation specific PCR. As a third approach, RNA of the PBL was hybridized to Affymetrix GeneChip Human Gene 1.0 ST Arrays and the gene signatures were explored using pathway analysis.<h4<Results</h4<We observed higher numbers of T(REG) in pre-treatment PBL of mRCC patients compared to controls. A significant increase in T(REG) was detected in all mRCC patients after the two cycles of immunotherapy. The expansion of T(REG) was significantly higher in non-responders than in responding patients. Methylation specific PCR confirmed the FCM data and circumvented the variability and subjectivity of the FCM method. Gene Set Enrichment Analysis (GSEA) of the microarray data showed significant enrichment of FOXP3 target genes, CTLA-4 and TGF-ß associated pathways in the patient cohort.<h4<Conclusion</h4<Immune monitoring of the peripheral blood and tumor tissue is important for a wide range of diseases and treatment strategies. Adoption of methodology for quantifying T(REG) with the least variability and subjectivity will enhance the ability to compare and interpret findings across studies. | ||
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10.1371/journal.pone.0046600 doi (DE-627)DOAJ062936468 (DE-599)DOAJaad50d9d301d4c0fa7552b1ae4b4d3a9 DE-627 ger DE-627 rakwb eng Adrian Schwarzer verfasserin aut Regulatory T-cells and associated pathways in metastatic renal cell carcinoma (mRCC) patients undergoing DC-vaccination and cytokine-therapy. 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <h4<Purpose</h4<To evaluate CD4(+)CD25(+)FOXP3(+) T regulatory cells (T(REG)) and associated immune-regulatory pathways in peripheral blood lymphocytes (PBL) of metastatic renal cell carcinoma (mRCC) patients and healthy volunteers. We subsequently investigated the effects of immunotherapy on circulating T(REG) combining an extensive phenotype examination, DNA methylation analysis and global transcriptome analysis.<h4<Design</h4<Eighteen patients with mRCC and twelve volunteers (controls) were available for analysis. T(REG) phenotype was examined using flow cytometry (FCM). T(REG) were also quantified by analyzing the epigenetic status of the FOXP3 locus using methylation specific PCR. As a third approach, RNA of the PBL was hybridized to Affymetrix GeneChip Human Gene 1.0 ST Arrays and the gene signatures were explored using pathway analysis.<h4<Results</h4<We observed higher numbers of T(REG) in pre-treatment PBL of mRCC patients compared to controls. A significant increase in T(REG) was detected in all mRCC patients after the two cycles of immunotherapy. The expansion of T(REG) was significantly higher in non-responders than in responding patients. Methylation specific PCR confirmed the FCM data and circumvented the variability and subjectivity of the FCM method. Gene Set Enrichment Analysis (GSEA) of the microarray data showed significant enrichment of FOXP3 target genes, CTLA-4 and TGF-ß associated pathways in the patient cohort.<h4<Conclusion</h4<Immune monitoring of the peripheral blood and tumor tissue is important for a wide range of diseases and treatment strategies. Adoption of methodology for quantifying T(REG) with the least variability and subjectivity will enhance the ability to compare and interpret findings across studies. Medicine R Science Q Benita Wolf verfasserin aut Jan L Fisher verfasserin aut Thomas Schwaab verfasserin aut Sven Olek verfasserin aut Udo Baron verfasserin aut Craig R Tomlinson verfasserin aut John D Seigne verfasserin aut Nancy A Crosby verfasserin aut Jiang Gui verfasserin aut Thomas H Hampton verfasserin aut Camilo E Fadul verfasserin aut John A Heaney verfasserin aut Marc S Ernstoff verfasserin aut In PLoS ONE Public Library of Science (PLoS), 2007 7(2012), 10, p e46600 (DE-627)523574592 (DE-600)2267670-3 19326203 nnns volume:7 year:2012 number:10, p e46600 https://doi.org/10.1371/journal.pone.0046600 kostenfrei https://doaj.org/article/aad50d9d301d4c0fa7552b1ae4b4d3a9 kostenfrei https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23118856/?tool=EBI kostenfrei https://doaj.org/toc/1932-6203 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_34 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 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_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_235 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_2522 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2012 10, p e46600 |
spelling |
10.1371/journal.pone.0046600 doi (DE-627)DOAJ062936468 (DE-599)DOAJaad50d9d301d4c0fa7552b1ae4b4d3a9 DE-627 ger DE-627 rakwb eng Adrian Schwarzer verfasserin aut Regulatory T-cells and associated pathways in metastatic renal cell carcinoma (mRCC) patients undergoing DC-vaccination and cytokine-therapy. 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <h4<Purpose</h4<To evaluate CD4(+)CD25(+)FOXP3(+) T regulatory cells (T(REG)) and associated immune-regulatory pathways in peripheral blood lymphocytes (PBL) of metastatic renal cell carcinoma (mRCC) patients and healthy volunteers. We subsequently investigated the effects of immunotherapy on circulating T(REG) combining an extensive phenotype examination, DNA methylation analysis and global transcriptome analysis.<h4<Design</h4<Eighteen patients with mRCC and twelve volunteers (controls) were available for analysis. T(REG) phenotype was examined using flow cytometry (FCM). T(REG) were also quantified by analyzing the epigenetic status of the FOXP3 locus using methylation specific PCR. As a third approach, RNA of the PBL was hybridized to Affymetrix GeneChip Human Gene 1.0 ST Arrays and the gene signatures were explored using pathway analysis.<h4<Results</h4<We observed higher numbers of T(REG) in pre-treatment PBL of mRCC patients compared to controls. A significant increase in T(REG) was detected in all mRCC patients after the two cycles of immunotherapy. The expansion of T(REG) was significantly higher in non-responders than in responding patients. Methylation specific PCR confirmed the FCM data and circumvented the variability and subjectivity of the FCM method. Gene Set Enrichment Analysis (GSEA) of the microarray data showed significant enrichment of FOXP3 target genes, CTLA-4 and TGF-ß associated pathways in the patient cohort.<h4<Conclusion</h4<Immune monitoring of the peripheral blood and tumor tissue is important for a wide range of diseases and treatment strategies. Adoption of methodology for quantifying T(REG) with the least variability and subjectivity will enhance the ability to compare and interpret findings across studies. Medicine R Science Q Benita Wolf verfasserin aut Jan L Fisher verfasserin aut Thomas Schwaab verfasserin aut Sven Olek verfasserin aut Udo Baron verfasserin aut Craig R Tomlinson verfasserin aut John D Seigne verfasserin aut Nancy A Crosby verfasserin aut Jiang Gui verfasserin aut Thomas H Hampton verfasserin aut Camilo E Fadul verfasserin aut John A Heaney verfasserin aut Marc S Ernstoff verfasserin aut In PLoS ONE Public Library of Science (PLoS), 2007 7(2012), 10, p e46600 (DE-627)523574592 (DE-600)2267670-3 19326203 nnns volume:7 year:2012 number:10, p e46600 https://doi.org/10.1371/journal.pone.0046600 kostenfrei https://doaj.org/article/aad50d9d301d4c0fa7552b1ae4b4d3a9 kostenfrei https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23118856/?tool=EBI kostenfrei https://doaj.org/toc/1932-6203 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_34 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 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_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_235 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_2522 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2012 10, p e46600 |
allfields_unstemmed |
10.1371/journal.pone.0046600 doi (DE-627)DOAJ062936468 (DE-599)DOAJaad50d9d301d4c0fa7552b1ae4b4d3a9 DE-627 ger DE-627 rakwb eng Adrian Schwarzer verfasserin aut Regulatory T-cells and associated pathways in metastatic renal cell carcinoma (mRCC) patients undergoing DC-vaccination and cytokine-therapy. 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <h4<Purpose</h4<To evaluate CD4(+)CD25(+)FOXP3(+) T regulatory cells (T(REG)) and associated immune-regulatory pathways in peripheral blood lymphocytes (PBL) of metastatic renal cell carcinoma (mRCC) patients and healthy volunteers. We subsequently investigated the effects of immunotherapy on circulating T(REG) combining an extensive phenotype examination, DNA methylation analysis and global transcriptome analysis.<h4<Design</h4<Eighteen patients with mRCC and twelve volunteers (controls) were available for analysis. T(REG) phenotype was examined using flow cytometry (FCM). T(REG) were also quantified by analyzing the epigenetic status of the FOXP3 locus using methylation specific PCR. As a third approach, RNA of the PBL was hybridized to Affymetrix GeneChip Human Gene 1.0 ST Arrays and the gene signatures were explored using pathway analysis.<h4<Results</h4<We observed higher numbers of T(REG) in pre-treatment PBL of mRCC patients compared to controls. A significant increase in T(REG) was detected in all mRCC patients after the two cycles of immunotherapy. The expansion of T(REG) was significantly higher in non-responders than in responding patients. Methylation specific PCR confirmed the FCM data and circumvented the variability and subjectivity of the FCM method. Gene Set Enrichment Analysis (GSEA) of the microarray data showed significant enrichment of FOXP3 target genes, CTLA-4 and TGF-ß associated pathways in the patient cohort.<h4<Conclusion</h4<Immune monitoring of the peripheral blood and tumor tissue is important for a wide range of diseases and treatment strategies. Adoption of methodology for quantifying T(REG) with the least variability and subjectivity will enhance the ability to compare and interpret findings across studies. Medicine R Science Q Benita Wolf verfasserin aut Jan L Fisher verfasserin aut Thomas Schwaab verfasserin aut Sven Olek verfasserin aut Udo Baron verfasserin aut Craig R Tomlinson verfasserin aut John D Seigne verfasserin aut Nancy A Crosby verfasserin aut Jiang Gui verfasserin aut Thomas H Hampton verfasserin aut Camilo E Fadul verfasserin aut John A Heaney verfasserin aut Marc S Ernstoff verfasserin aut In PLoS ONE Public Library of Science (PLoS), 2007 7(2012), 10, p e46600 (DE-627)523574592 (DE-600)2267670-3 19326203 nnns volume:7 year:2012 number:10, p e46600 https://doi.org/10.1371/journal.pone.0046600 kostenfrei https://doaj.org/article/aad50d9d301d4c0fa7552b1ae4b4d3a9 kostenfrei https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23118856/?tool=EBI kostenfrei https://doaj.org/toc/1932-6203 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_34 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 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_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_235 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_2522 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2012 10, p e46600 |
allfieldsGer |
10.1371/journal.pone.0046600 doi (DE-627)DOAJ062936468 (DE-599)DOAJaad50d9d301d4c0fa7552b1ae4b4d3a9 DE-627 ger DE-627 rakwb eng Adrian Schwarzer verfasserin aut Regulatory T-cells and associated pathways in metastatic renal cell carcinoma (mRCC) patients undergoing DC-vaccination and cytokine-therapy. 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <h4<Purpose</h4<To evaluate CD4(+)CD25(+)FOXP3(+) T regulatory cells (T(REG)) and associated immune-regulatory pathways in peripheral blood lymphocytes (PBL) of metastatic renal cell carcinoma (mRCC) patients and healthy volunteers. We subsequently investigated the effects of immunotherapy on circulating T(REG) combining an extensive phenotype examination, DNA methylation analysis and global transcriptome analysis.<h4<Design</h4<Eighteen patients with mRCC and twelve volunteers (controls) were available for analysis. T(REG) phenotype was examined using flow cytometry (FCM). T(REG) were also quantified by analyzing the epigenetic status of the FOXP3 locus using methylation specific PCR. As a third approach, RNA of the PBL was hybridized to Affymetrix GeneChip Human Gene 1.0 ST Arrays and the gene signatures were explored using pathway analysis.<h4<Results</h4<We observed higher numbers of T(REG) in pre-treatment PBL of mRCC patients compared to controls. A significant increase in T(REG) was detected in all mRCC patients after the two cycles of immunotherapy. The expansion of T(REG) was significantly higher in non-responders than in responding patients. Methylation specific PCR confirmed the FCM data and circumvented the variability and subjectivity of the FCM method. Gene Set Enrichment Analysis (GSEA) of the microarray data showed significant enrichment of FOXP3 target genes, CTLA-4 and TGF-ß associated pathways in the patient cohort.<h4<Conclusion</h4<Immune monitoring of the peripheral blood and tumor tissue is important for a wide range of diseases and treatment strategies. Adoption of methodology for quantifying T(REG) with the least variability and subjectivity will enhance the ability to compare and interpret findings across studies. Medicine R Science Q Benita Wolf verfasserin aut Jan L Fisher verfasserin aut Thomas Schwaab verfasserin aut Sven Olek verfasserin aut Udo Baron verfasserin aut Craig R Tomlinson verfasserin aut John D Seigne verfasserin aut Nancy A Crosby verfasserin aut Jiang Gui verfasserin aut Thomas H Hampton verfasserin aut Camilo E Fadul verfasserin aut John A Heaney verfasserin aut Marc S Ernstoff verfasserin aut In PLoS ONE Public Library of Science (PLoS), 2007 7(2012), 10, p e46600 (DE-627)523574592 (DE-600)2267670-3 19326203 nnns volume:7 year:2012 number:10, p e46600 https://doi.org/10.1371/journal.pone.0046600 kostenfrei https://doaj.org/article/aad50d9d301d4c0fa7552b1ae4b4d3a9 kostenfrei https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23118856/?tool=EBI kostenfrei https://doaj.org/toc/1932-6203 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_34 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 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_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_235 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_2522 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2012 10, p e46600 |
allfieldsSound |
10.1371/journal.pone.0046600 doi (DE-627)DOAJ062936468 (DE-599)DOAJaad50d9d301d4c0fa7552b1ae4b4d3a9 DE-627 ger DE-627 rakwb eng Adrian Schwarzer verfasserin aut Regulatory T-cells and associated pathways in metastatic renal cell carcinoma (mRCC) patients undergoing DC-vaccination and cytokine-therapy. 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <h4<Purpose</h4<To evaluate CD4(+)CD25(+)FOXP3(+) T regulatory cells (T(REG)) and associated immune-regulatory pathways in peripheral blood lymphocytes (PBL) of metastatic renal cell carcinoma (mRCC) patients and healthy volunteers. We subsequently investigated the effects of immunotherapy on circulating T(REG) combining an extensive phenotype examination, DNA methylation analysis and global transcriptome analysis.<h4<Design</h4<Eighteen patients with mRCC and twelve volunteers (controls) were available for analysis. T(REG) phenotype was examined using flow cytometry (FCM). T(REG) were also quantified by analyzing the epigenetic status of the FOXP3 locus using methylation specific PCR. As a third approach, RNA of the PBL was hybridized to Affymetrix GeneChip Human Gene 1.0 ST Arrays and the gene signatures were explored using pathway analysis.<h4<Results</h4<We observed higher numbers of T(REG) in pre-treatment PBL of mRCC patients compared to controls. A significant increase in T(REG) was detected in all mRCC patients after the two cycles of immunotherapy. The expansion of T(REG) was significantly higher in non-responders than in responding patients. Methylation specific PCR confirmed the FCM data and circumvented the variability and subjectivity of the FCM method. Gene Set Enrichment Analysis (GSEA) of the microarray data showed significant enrichment of FOXP3 target genes, CTLA-4 and TGF-ß associated pathways in the patient cohort.<h4<Conclusion</h4<Immune monitoring of the peripheral blood and tumor tissue is important for a wide range of diseases and treatment strategies. Adoption of methodology for quantifying T(REG) with the least variability and subjectivity will enhance the ability to compare and interpret findings across studies. Medicine R Science Q Benita Wolf verfasserin aut Jan L Fisher verfasserin aut Thomas Schwaab verfasserin aut Sven Olek verfasserin aut Udo Baron verfasserin aut Craig R Tomlinson verfasserin aut John D Seigne verfasserin aut Nancy A Crosby verfasserin aut Jiang Gui verfasserin aut Thomas H Hampton verfasserin aut Camilo E Fadul verfasserin aut John A Heaney verfasserin aut Marc S Ernstoff verfasserin aut In PLoS ONE Public Library of Science (PLoS), 2007 7(2012), 10, p e46600 (DE-627)523574592 (DE-600)2267670-3 19326203 nnns volume:7 year:2012 number:10, p e46600 https://doi.org/10.1371/journal.pone.0046600 kostenfrei https://doaj.org/article/aad50d9d301d4c0fa7552b1ae4b4d3a9 kostenfrei https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23118856/?tool=EBI kostenfrei https://doaj.org/toc/1932-6203 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_34 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 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_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_235 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_2522 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2012 10, p e46600 |
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Adrian Schwarzer @@aut@@ Benita Wolf @@aut@@ Jan L Fisher @@aut@@ Thomas Schwaab @@aut@@ Sven Olek @@aut@@ Udo Baron @@aut@@ Craig R Tomlinson @@aut@@ John D Seigne @@aut@@ Nancy A Crosby @@aut@@ Jiang Gui @@aut@@ Thomas H Hampton @@aut@@ Camilo E Fadul @@aut@@ John A Heaney @@aut@@ Marc S Ernstoff @@aut@@ |
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Regulatory T-cells and associated pathways in metastatic renal cell carcinoma (mRCC) patients undergoing DC-vaccination and cytokine-therapy |
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Regulatory T-cells and associated pathways in metastatic renal cell carcinoma (mRCC) patients undergoing DC-vaccination and cytokine-therapy. |
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Regulatory T-cells and associated pathways in metastatic renal cell carcinoma (mRCC) patients undergoing DC-vaccination and cytokine-therapy |
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regulatory t-cells and associated pathways in metastatic renal cell carcinoma (mrcc) patients undergoing dc-vaccination and cytokine-therapy |
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Regulatory T-cells and associated pathways in metastatic renal cell carcinoma (mRCC) patients undergoing DC-vaccination and cytokine-therapy. |
abstract |
<h4<Purpose</h4<To evaluate CD4(+)CD25(+)FOXP3(+) T regulatory cells (T(REG)) and associated immune-regulatory pathways in peripheral blood lymphocytes (PBL) of metastatic renal cell carcinoma (mRCC) patients and healthy volunteers. We subsequently investigated the effects of immunotherapy on circulating T(REG) combining an extensive phenotype examination, DNA methylation analysis and global transcriptome analysis.<h4<Design</h4<Eighteen patients with mRCC and twelve volunteers (controls) were available for analysis. T(REG) phenotype was examined using flow cytometry (FCM). T(REG) were also quantified by analyzing the epigenetic status of the FOXP3 locus using methylation specific PCR. As a third approach, RNA of the PBL was hybridized to Affymetrix GeneChip Human Gene 1.0 ST Arrays and the gene signatures were explored using pathway analysis.<h4<Results</h4<We observed higher numbers of T(REG) in pre-treatment PBL of mRCC patients compared to controls. A significant increase in T(REG) was detected in all mRCC patients after the two cycles of immunotherapy. The expansion of T(REG) was significantly higher in non-responders than in responding patients. Methylation specific PCR confirmed the FCM data and circumvented the variability and subjectivity of the FCM method. Gene Set Enrichment Analysis (GSEA) of the microarray data showed significant enrichment of FOXP3 target genes, CTLA-4 and TGF-ß associated pathways in the patient cohort.<h4<Conclusion</h4<Immune monitoring of the peripheral blood and tumor tissue is important for a wide range of diseases and treatment strategies. Adoption of methodology for quantifying T(REG) with the least variability and subjectivity will enhance the ability to compare and interpret findings across studies. |
abstractGer |
<h4<Purpose</h4<To evaluate CD4(+)CD25(+)FOXP3(+) T regulatory cells (T(REG)) and associated immune-regulatory pathways in peripheral blood lymphocytes (PBL) of metastatic renal cell carcinoma (mRCC) patients and healthy volunteers. We subsequently investigated the effects of immunotherapy on circulating T(REG) combining an extensive phenotype examination, DNA methylation analysis and global transcriptome analysis.<h4<Design</h4<Eighteen patients with mRCC and twelve volunteers (controls) were available for analysis. T(REG) phenotype was examined using flow cytometry (FCM). T(REG) were also quantified by analyzing the epigenetic status of the FOXP3 locus using methylation specific PCR. As a third approach, RNA of the PBL was hybridized to Affymetrix GeneChip Human Gene 1.0 ST Arrays and the gene signatures were explored using pathway analysis.<h4<Results</h4<We observed higher numbers of T(REG) in pre-treatment PBL of mRCC patients compared to controls. A significant increase in T(REG) was detected in all mRCC patients after the two cycles of immunotherapy. The expansion of T(REG) was significantly higher in non-responders than in responding patients. Methylation specific PCR confirmed the FCM data and circumvented the variability and subjectivity of the FCM method. Gene Set Enrichment Analysis (GSEA) of the microarray data showed significant enrichment of FOXP3 target genes, CTLA-4 and TGF-ß associated pathways in the patient cohort.<h4<Conclusion</h4<Immune monitoring of the peripheral blood and tumor tissue is important for a wide range of diseases and treatment strategies. Adoption of methodology for quantifying T(REG) with the least variability and subjectivity will enhance the ability to compare and interpret findings across studies. |
abstract_unstemmed |
<h4<Purpose</h4<To evaluate CD4(+)CD25(+)FOXP3(+) T regulatory cells (T(REG)) and associated immune-regulatory pathways in peripheral blood lymphocytes (PBL) of metastatic renal cell carcinoma (mRCC) patients and healthy volunteers. We subsequently investigated the effects of immunotherapy on circulating T(REG) combining an extensive phenotype examination, DNA methylation analysis and global transcriptome analysis.<h4<Design</h4<Eighteen patients with mRCC and twelve volunteers (controls) were available for analysis. T(REG) phenotype was examined using flow cytometry (FCM). T(REG) were also quantified by analyzing the epigenetic status of the FOXP3 locus using methylation specific PCR. As a third approach, RNA of the PBL was hybridized to Affymetrix GeneChip Human Gene 1.0 ST Arrays and the gene signatures were explored using pathway analysis.<h4<Results</h4<We observed higher numbers of T(REG) in pre-treatment PBL of mRCC patients compared to controls. A significant increase in T(REG) was detected in all mRCC patients after the two cycles of immunotherapy. The expansion of T(REG) was significantly higher in non-responders than in responding patients. Methylation specific PCR confirmed the FCM data and circumvented the variability and subjectivity of the FCM method. Gene Set Enrichment Analysis (GSEA) of the microarray data showed significant enrichment of FOXP3 target genes, CTLA-4 and TGF-ß associated pathways in the patient cohort.<h4<Conclusion</h4<Immune monitoring of the peripheral blood and tumor tissue is important for a wide range of diseases and treatment strategies. Adoption of methodology for quantifying T(REG) with the least variability and subjectivity will enhance the ability to compare and interpret findings across studies. |
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Regulatory T-cells and associated pathways in metastatic renal cell carcinoma (mRCC) patients undergoing DC-vaccination and cytokine-therapy. |
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7.400567 |