DNA Methylation Modification Map to Predict Tumor Molecular Subtypes and Efficacy of Immunotherapy in Bladder Cancer

Background: Considering the heterogeneity and complexity of epigenetic regulation in bladder cancer, the underlying mechanisms of global DNA methylation modification in the immune microenvironment must be investigated to predict the prognosis outcomes and clinical response to immunotherapy.Methods:...
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Autor*in:	Fangdie Ye [verfasserIn] Yingchun Liang [verfasserIn] Jimeng Hu [verfasserIn] Yun Hu [verfasserIn] Yufei Liu [verfasserIn] Zhang Cheng [verfasserIn] Yuxi Ou [verfasserIn] Chenyang Xu [verfasserIn] Haowen Jiang [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	bladder cancer DNA methylation regulators immunotherapy prognostic model tumor microenvironment

Übergeordnetes Werk:	In: Frontiers in Cell and Developmental Biology - Frontiers Media S.A., 2014, 9(2021)
Übergeordnetes Werk:	volume:9 ; year:2021

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3389/fcell.2021.760369

Katalog-ID:	DOAJ07526112X

Internformat


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520			\|a Background: Considering the heterogeneity and complexity of epigenetic regulation in bladder cancer, the underlying mechanisms of global DNA methylation modification in the immune microenvironment must be investigated to predict the prognosis outcomes and clinical response to immunotherapy.Methods: We systematically assessed the DNA methylation modes of 985 integrated bladder cancer samples with the unsupervised clustering algorithm. Subsequently, these DNA methylation modes were analyzed for their correlations with features of the immune microenvironment. The principal analysis algorithm was performed to calculate the DMRscores of each samples for qualification analysis.Findings: Three DNA methylation modes were revealed among 985 bladder cancer samples, and these modes are related to diverse clinical outcomes and several immune microenvironment phenotypes, e.g., immune-desert, immune-inflamed, and immune-excluded ones. Then patients were classified into high- and low-DMRscore subgroups according to the DMRscore, which was calculated based on the expression of DNA methylation related genes (DMRGs). Patients with the low-DMRscore subgroup presented a prominent survival advantage that was significantly correlated to the immune-inflamed phenotype. Further analysis revealed that patients with low DMRscores exhibited less TP53 wild mutation, lower cancer stage and molecular subtypes were mainly papillary subtypes. In addition, an independent immunotherapy cohort confirmed that DMRscore could serve as a signature to predict prognosis outcomes and immune responses.Conclusion: Global DNA methylation modes can be used to predict the immunophenotypes, aggressiveness, and immune responses of bladder cancer. DNA methylation status assessments will strengthen our insights into the features of the immune microenvironment and promote the development of more effective treatment strategies.
650		4	\|a bladder cancer
650		4	\|a DNA methylation regulators
650		4	\|a immunotherapy
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650		4	\|a tumor microenvironment
653		0	\|a Biology (General)
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Indexfelder

author_variant	f y fy f y fy y l yl y l yl j h jh j h jh y h yh y h yh y l yl y l yl z c zc z c zc y o yo y o yo c x cx c x cx h j hj h j hj h j hj
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allfields	10.3389/fcell.2021.760369 doi (DE-627)DOAJ07526112X (DE-599)DOAJ227e965f12f74acab84b3886153e2f1c DE-627 ger DE-627 rakwb eng QH301-705.5 Fangdie Ye verfasserin aut DNA Methylation Modification Map to Predict Tumor Molecular Subtypes and Efficacy of Immunotherapy in Bladder Cancer 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Considering the heterogeneity and complexity of epigenetic regulation in bladder cancer, the underlying mechanisms of global DNA methylation modification in the immune microenvironment must be investigated to predict the prognosis outcomes and clinical response to immunotherapy.Methods: We systematically assessed the DNA methylation modes of 985 integrated bladder cancer samples with the unsupervised clustering algorithm. Subsequently, these DNA methylation modes were analyzed for their correlations with features of the immune microenvironment. The principal analysis algorithm was performed to calculate the DMRscores of each samples for qualification analysis.Findings: Three DNA methylation modes were revealed among 985 bladder cancer samples, and these modes are related to diverse clinical outcomes and several immune microenvironment phenotypes, e.g., immune-desert, immune-inflamed, and immune-excluded ones. Then patients were classified into high- and low-DMRscore subgroups according to the DMRscore, which was calculated based on the expression of DNA methylation related genes (DMRGs). Patients with the low-DMRscore subgroup presented a prominent survival advantage that was significantly correlated to the immune-inflamed phenotype. Further analysis revealed that patients with low DMRscores exhibited less TP53 wild mutation, lower cancer stage and molecular subtypes were mainly papillary subtypes. In addition, an independent immunotherapy cohort confirmed that DMRscore could serve as a signature to predict prognosis outcomes and immune responses.Conclusion: Global DNA methylation modes can be used to predict the immunophenotypes, aggressiveness, and immune responses of bladder cancer. DNA methylation status assessments will strengthen our insights into the features of the immune microenvironment and promote the development of more effective treatment strategies. bladder cancer DNA methylation regulators immunotherapy prognostic model tumor microenvironment Biology (General) Fangdie Ye verfasserin aut Yingchun Liang verfasserin aut Yingchun Liang verfasserin aut Jimeng Hu verfasserin aut Jimeng Hu verfasserin aut Yun Hu verfasserin aut Yun Hu verfasserin aut Yufei Liu verfasserin aut Yufei Liu verfasserin aut Zhang Cheng verfasserin aut Zhang Cheng verfasserin aut Yuxi Ou verfasserin aut Yuxi Ou verfasserin aut Chenyang Xu verfasserin aut Chenyang Xu verfasserin aut Haowen Jiang verfasserin aut Haowen Jiang verfasserin aut Haowen Jiang verfasserin aut In Frontiers in Cell and Developmental Biology Frontiers Media S.A., 2014 9(2021) (DE-627)770398138 (DE-600)2737824-X 2296634X nnns volume:9 year:2021 https://doi.org/10.3389/fcell.2021.760369 kostenfrei https://doaj.org/article/227e965f12f74acab84b3886153e2f1c kostenfrei https://www.frontiersin.org/articles/10.3389/fcell.2021.760369/full kostenfrei https://doaj.org/toc/2296-634X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 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_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 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 9 2021
spelling	10.3389/fcell.2021.760369 doi (DE-627)DOAJ07526112X (DE-599)DOAJ227e965f12f74acab84b3886153e2f1c DE-627 ger DE-627 rakwb eng QH301-705.5 Fangdie Ye verfasserin aut DNA Methylation Modification Map to Predict Tumor Molecular Subtypes and Efficacy of Immunotherapy in Bladder Cancer 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Considering the heterogeneity and complexity of epigenetic regulation in bladder cancer, the underlying mechanisms of global DNA methylation modification in the immune microenvironment must be investigated to predict the prognosis outcomes and clinical response to immunotherapy.Methods: We systematically assessed the DNA methylation modes of 985 integrated bladder cancer samples with the unsupervised clustering algorithm. Subsequently, these DNA methylation modes were analyzed for their correlations with features of the immune microenvironment. The principal analysis algorithm was performed to calculate the DMRscores of each samples for qualification analysis.Findings: Three DNA methylation modes were revealed among 985 bladder cancer samples, and these modes are related to diverse clinical outcomes and several immune microenvironment phenotypes, e.g., immune-desert, immune-inflamed, and immune-excluded ones. Then patients were classified into high- and low-DMRscore subgroups according to the DMRscore, which was calculated based on the expression of DNA methylation related genes (DMRGs). Patients with the low-DMRscore subgroup presented a prominent survival advantage that was significantly correlated to the immune-inflamed phenotype. Further analysis revealed that patients with low DMRscores exhibited less TP53 wild mutation, lower cancer stage and molecular subtypes were mainly papillary subtypes. In addition, an independent immunotherapy cohort confirmed that DMRscore could serve as a signature to predict prognosis outcomes and immune responses.Conclusion: Global DNA methylation modes can be used to predict the immunophenotypes, aggressiveness, and immune responses of bladder cancer. DNA methylation status assessments will strengthen our insights into the features of the immune microenvironment and promote the development of more effective treatment strategies. bladder cancer DNA methylation regulators immunotherapy prognostic model tumor microenvironment Biology (General) Fangdie Ye verfasserin aut Yingchun Liang verfasserin aut Yingchun Liang verfasserin aut Jimeng Hu verfasserin aut Jimeng Hu verfasserin aut Yun Hu verfasserin aut Yun Hu verfasserin aut Yufei Liu verfasserin aut Yufei Liu verfasserin aut Zhang Cheng verfasserin aut Zhang Cheng verfasserin aut Yuxi Ou verfasserin aut Yuxi Ou verfasserin aut Chenyang Xu verfasserin aut Chenyang Xu verfasserin aut Haowen Jiang verfasserin aut Haowen Jiang verfasserin aut Haowen Jiang verfasserin aut In Frontiers in Cell and Developmental Biology Frontiers Media S.A., 2014 9(2021) (DE-627)770398138 (DE-600)2737824-X 2296634X nnns volume:9 year:2021 https://doi.org/10.3389/fcell.2021.760369 kostenfrei https://doaj.org/article/227e965f12f74acab84b3886153e2f1c kostenfrei https://www.frontiersin.org/articles/10.3389/fcell.2021.760369/full kostenfrei https://doaj.org/toc/2296-634X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 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_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 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 9 2021
allfields_unstemmed	10.3389/fcell.2021.760369 doi (DE-627)DOAJ07526112X (DE-599)DOAJ227e965f12f74acab84b3886153e2f1c DE-627 ger DE-627 rakwb eng QH301-705.5 Fangdie Ye verfasserin aut DNA Methylation Modification Map to Predict Tumor Molecular Subtypes and Efficacy of Immunotherapy in Bladder Cancer 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Considering the heterogeneity and complexity of epigenetic regulation in bladder cancer, the underlying mechanisms of global DNA methylation modification in the immune microenvironment must be investigated to predict the prognosis outcomes and clinical response to immunotherapy.Methods: We systematically assessed the DNA methylation modes of 985 integrated bladder cancer samples with the unsupervised clustering algorithm. Subsequently, these DNA methylation modes were analyzed for their correlations with features of the immune microenvironment. The principal analysis algorithm was performed to calculate the DMRscores of each samples for qualification analysis.Findings: Three DNA methylation modes were revealed among 985 bladder cancer samples, and these modes are related to diverse clinical outcomes and several immune microenvironment phenotypes, e.g., immune-desert, immune-inflamed, and immune-excluded ones. Then patients were classified into high- and low-DMRscore subgroups according to the DMRscore, which was calculated based on the expression of DNA methylation related genes (DMRGs). Patients with the low-DMRscore subgroup presented a prominent survival advantage that was significantly correlated to the immune-inflamed phenotype. Further analysis revealed that patients with low DMRscores exhibited less TP53 wild mutation, lower cancer stage and molecular subtypes were mainly papillary subtypes. In addition, an independent immunotherapy cohort confirmed that DMRscore could serve as a signature to predict prognosis outcomes and immune responses.Conclusion: Global DNA methylation modes can be used to predict the immunophenotypes, aggressiveness, and immune responses of bladder cancer. DNA methylation status assessments will strengthen our insights into the features of the immune microenvironment and promote the development of more effective treatment strategies. bladder cancer DNA methylation regulators immunotherapy prognostic model tumor microenvironment Biology (General) Fangdie Ye verfasserin aut Yingchun Liang verfasserin aut Yingchun Liang verfasserin aut Jimeng Hu verfasserin aut Jimeng Hu verfasserin aut Yun Hu verfasserin aut Yun Hu verfasserin aut Yufei Liu verfasserin aut Yufei Liu verfasserin aut Zhang Cheng verfasserin aut Zhang Cheng verfasserin aut Yuxi Ou verfasserin aut Yuxi Ou verfasserin aut Chenyang Xu verfasserin aut Chenyang Xu verfasserin aut Haowen Jiang verfasserin aut Haowen Jiang verfasserin aut Haowen Jiang verfasserin aut In Frontiers in Cell and Developmental Biology Frontiers Media S.A., 2014 9(2021) (DE-627)770398138 (DE-600)2737824-X 2296634X nnns volume:9 year:2021 https://doi.org/10.3389/fcell.2021.760369 kostenfrei https://doaj.org/article/227e965f12f74acab84b3886153e2f1c kostenfrei https://www.frontiersin.org/articles/10.3389/fcell.2021.760369/full kostenfrei https://doaj.org/toc/2296-634X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 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_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 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 9 2021
allfieldsGer	10.3389/fcell.2021.760369 doi (DE-627)DOAJ07526112X (DE-599)DOAJ227e965f12f74acab84b3886153e2f1c DE-627 ger DE-627 rakwb eng QH301-705.5 Fangdie Ye verfasserin aut DNA Methylation Modification Map to Predict Tumor Molecular Subtypes and Efficacy of Immunotherapy in Bladder Cancer 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Considering the heterogeneity and complexity of epigenetic regulation in bladder cancer, the underlying mechanisms of global DNA methylation modification in the immune microenvironment must be investigated to predict the prognosis outcomes and clinical response to immunotherapy.Methods: We systematically assessed the DNA methylation modes of 985 integrated bladder cancer samples with the unsupervised clustering algorithm. Subsequently, these DNA methylation modes were analyzed for their correlations with features of the immune microenvironment. The principal analysis algorithm was performed to calculate the DMRscores of each samples for qualification analysis.Findings: Three DNA methylation modes were revealed among 985 bladder cancer samples, and these modes are related to diverse clinical outcomes and several immune microenvironment phenotypes, e.g., immune-desert, immune-inflamed, and immune-excluded ones. Then patients were classified into high- and low-DMRscore subgroups according to the DMRscore, which was calculated based on the expression of DNA methylation related genes (DMRGs). Patients with the low-DMRscore subgroup presented a prominent survival advantage that was significantly correlated to the immune-inflamed phenotype. Further analysis revealed that patients with low DMRscores exhibited less TP53 wild mutation, lower cancer stage and molecular subtypes were mainly papillary subtypes. In addition, an independent immunotherapy cohort confirmed that DMRscore could serve as a signature to predict prognosis outcomes and immune responses.Conclusion: Global DNA methylation modes can be used to predict the immunophenotypes, aggressiveness, and immune responses of bladder cancer. DNA methylation status assessments will strengthen our insights into the features of the immune microenvironment and promote the development of more effective treatment strategies. bladder cancer DNA methylation regulators immunotherapy prognostic model tumor microenvironment Biology (General) Fangdie Ye verfasserin aut Yingchun Liang verfasserin aut Yingchun Liang verfasserin aut Jimeng Hu verfasserin aut Jimeng Hu verfasserin aut Yun Hu verfasserin aut Yun Hu verfasserin aut Yufei Liu verfasserin aut Yufei Liu verfasserin aut Zhang Cheng verfasserin aut Zhang Cheng verfasserin aut Yuxi Ou verfasserin aut Yuxi Ou verfasserin aut Chenyang Xu verfasserin aut Chenyang Xu verfasserin aut Haowen Jiang verfasserin aut Haowen Jiang verfasserin aut Haowen Jiang verfasserin aut In Frontiers in Cell and Developmental Biology Frontiers Media S.A., 2014 9(2021) (DE-627)770398138 (DE-600)2737824-X 2296634X nnns volume:9 year:2021 https://doi.org/10.3389/fcell.2021.760369 kostenfrei https://doaj.org/article/227e965f12f74acab84b3886153e2f1c kostenfrei https://www.frontiersin.org/articles/10.3389/fcell.2021.760369/full kostenfrei https://doaj.org/toc/2296-634X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 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_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 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 9 2021
allfieldsSound	10.3389/fcell.2021.760369 doi (DE-627)DOAJ07526112X (DE-599)DOAJ227e965f12f74acab84b3886153e2f1c DE-627 ger DE-627 rakwb eng QH301-705.5 Fangdie Ye verfasserin aut DNA Methylation Modification Map to Predict Tumor Molecular Subtypes and Efficacy of Immunotherapy in Bladder Cancer 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Considering the heterogeneity and complexity of epigenetic regulation in bladder cancer, the underlying mechanisms of global DNA methylation modification in the immune microenvironment must be investigated to predict the prognosis outcomes and clinical response to immunotherapy.Methods: We systematically assessed the DNA methylation modes of 985 integrated bladder cancer samples with the unsupervised clustering algorithm. Subsequently, these DNA methylation modes were analyzed for their correlations with features of the immune microenvironment. The principal analysis algorithm was performed to calculate the DMRscores of each samples for qualification analysis.Findings: Three DNA methylation modes were revealed among 985 bladder cancer samples, and these modes are related to diverse clinical outcomes and several immune microenvironment phenotypes, e.g., immune-desert, immune-inflamed, and immune-excluded ones. Then patients were classified into high- and low-DMRscore subgroups according to the DMRscore, which was calculated based on the expression of DNA methylation related genes (DMRGs). Patients with the low-DMRscore subgroup presented a prominent survival advantage that was significantly correlated to the immune-inflamed phenotype. Further analysis revealed that patients with low DMRscores exhibited less TP53 wild mutation, lower cancer stage and molecular subtypes were mainly papillary subtypes. In addition, an independent immunotherapy cohort confirmed that DMRscore could serve as a signature to predict prognosis outcomes and immune responses.Conclusion: Global DNA methylation modes can be used to predict the immunophenotypes, aggressiveness, and immune responses of bladder cancer. DNA methylation status assessments will strengthen our insights into the features of the immune microenvironment and promote the development of more effective treatment strategies. bladder cancer DNA methylation regulators immunotherapy prognostic model tumor microenvironment Biology (General) Fangdie Ye verfasserin aut Yingchun Liang verfasserin aut Yingchun Liang verfasserin aut Jimeng Hu verfasserin aut Jimeng Hu verfasserin aut Yun Hu verfasserin aut Yun Hu verfasserin aut Yufei Liu verfasserin aut Yufei Liu verfasserin aut Zhang Cheng verfasserin aut Zhang Cheng verfasserin aut Yuxi Ou verfasserin aut Yuxi Ou verfasserin aut Chenyang Xu verfasserin aut Chenyang Xu verfasserin aut Haowen Jiang verfasserin aut Haowen Jiang verfasserin aut Haowen Jiang verfasserin aut In Frontiers in Cell and Developmental Biology Frontiers Media S.A., 2014 9(2021) (DE-627)770398138 (DE-600)2737824-X 2296634X nnns volume:9 year:2021 https://doi.org/10.3389/fcell.2021.760369 kostenfrei https://doaj.org/article/227e965f12f74acab84b3886153e2f1c kostenfrei https://www.frontiersin.org/articles/10.3389/fcell.2021.760369/full kostenfrei https://doaj.org/toc/2296-634X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 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_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 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 9 2021
language	English
source	In Frontiers in Cell and Developmental Biology 9(2021) volume:9 year:2021
sourceStr	In Frontiers in Cell and Developmental Biology 9(2021) volume:9 year:2021
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	bladder cancer DNA methylation regulators immunotherapy prognostic model tumor microenvironment Biology (General)
isfreeaccess_bool	true
container_title	Frontiers in Cell and Developmental Biology
authorswithroles_txt_mv	Fangdie Ye @@aut@@ Yingchun Liang @@aut@@ Jimeng Hu @@aut@@ Yun Hu @@aut@@ Yufei Liu @@aut@@ Zhang Cheng @@aut@@ Yuxi Ou @@aut@@ Chenyang Xu @@aut@@ Haowen Jiang @@aut@@
publishDateDaySort_date	2021-01-01T00:00:00Z
hierarchy_top_id	770398138
id	DOAJ07526112X
language_de	englisch
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callnumber-first	Q - Science
author	Fangdie Ye
spellingShingle	Fangdie Ye misc QH301-705.5 misc bladder cancer misc DNA methylation regulators misc immunotherapy misc prognostic model misc tumor microenvironment misc Biology (General) DNA Methylation Modification Map to Predict Tumor Molecular Subtypes and Efficacy of Immunotherapy in Bladder Cancer
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topic_title	QH301-705.5 DNA Methylation Modification Map to Predict Tumor Molecular Subtypes and Efficacy of Immunotherapy in Bladder Cancer bladder cancer DNA methylation regulators immunotherapy prognostic model tumor microenvironment
topic	misc QH301-705.5 misc bladder cancer misc DNA methylation regulators misc immunotherapy misc prognostic model misc tumor microenvironment misc Biology (General)
topic_unstemmed	misc QH301-705.5 misc bladder cancer misc DNA methylation regulators misc immunotherapy misc prognostic model misc tumor microenvironment misc Biology (General)
topic_browse	misc QH301-705.5 misc bladder cancer misc DNA methylation regulators misc immunotherapy misc prognostic model misc tumor microenvironment misc Biology (General)
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title	DNA Methylation Modification Map to Predict Tumor Molecular Subtypes and Efficacy of Immunotherapy in Bladder Cancer
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title_full	DNA Methylation Modification Map to Predict Tumor Molecular Subtypes and Efficacy of Immunotherapy in Bladder Cancer
author_sort	Fangdie Ye
journal	Frontiers in Cell and Developmental Biology
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author_browse	Fangdie Ye Yingchun Liang Jimeng Hu Yun Hu Yufei Liu Zhang Cheng Yuxi Ou Chenyang Xu Haowen Jiang
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title_sort	dna methylation modification map to predict tumor molecular subtypes and efficacy of immunotherapy in bladder cancer
callnumber	QH301-705.5
title_auth	DNA Methylation Modification Map to Predict Tumor Molecular Subtypes and Efficacy of Immunotherapy in Bladder Cancer
abstract	Background: Considering the heterogeneity and complexity of epigenetic regulation in bladder cancer, the underlying mechanisms of global DNA methylation modification in the immune microenvironment must be investigated to predict the prognosis outcomes and clinical response to immunotherapy.Methods: We systematically assessed the DNA methylation modes of 985 integrated bladder cancer samples with the unsupervised clustering algorithm. Subsequently, these DNA methylation modes were analyzed for their correlations with features of the immune microenvironment. The principal analysis algorithm was performed to calculate the DMRscores of each samples for qualification analysis.Findings: Three DNA methylation modes were revealed among 985 bladder cancer samples, and these modes are related to diverse clinical outcomes and several immune microenvironment phenotypes, e.g., immune-desert, immune-inflamed, and immune-excluded ones. Then patients were classified into high- and low-DMRscore subgroups according to the DMRscore, which was calculated based on the expression of DNA methylation related genes (DMRGs). Patients with the low-DMRscore subgroup presented a prominent survival advantage that was significantly correlated to the immune-inflamed phenotype. Further analysis revealed that patients with low DMRscores exhibited less TP53 wild mutation, lower cancer stage and molecular subtypes were mainly papillary subtypes. In addition, an independent immunotherapy cohort confirmed that DMRscore could serve as a signature to predict prognosis outcomes and immune responses.Conclusion: Global DNA methylation modes can be used to predict the immunophenotypes, aggressiveness, and immune responses of bladder cancer. DNA methylation status assessments will strengthen our insights into the features of the immune microenvironment and promote the development of more effective treatment strategies.
abstractGer	Background: Considering the heterogeneity and complexity of epigenetic regulation in bladder cancer, the underlying mechanisms of global DNA methylation modification in the immune microenvironment must be investigated to predict the prognosis outcomes and clinical response to immunotherapy.Methods: We systematically assessed the DNA methylation modes of 985 integrated bladder cancer samples with the unsupervised clustering algorithm. Subsequently, these DNA methylation modes were analyzed for their correlations with features of the immune microenvironment. The principal analysis algorithm was performed to calculate the DMRscores of each samples for qualification analysis.Findings: Three DNA methylation modes were revealed among 985 bladder cancer samples, and these modes are related to diverse clinical outcomes and several immune microenvironment phenotypes, e.g., immune-desert, immune-inflamed, and immune-excluded ones. Then patients were classified into high- and low-DMRscore subgroups according to the DMRscore, which was calculated based on the expression of DNA methylation related genes (DMRGs). Patients with the low-DMRscore subgroup presented a prominent survival advantage that was significantly correlated to the immune-inflamed phenotype. Further analysis revealed that patients with low DMRscores exhibited less TP53 wild mutation, lower cancer stage and molecular subtypes were mainly papillary subtypes. In addition, an independent immunotherapy cohort confirmed that DMRscore could serve as a signature to predict prognosis outcomes and immune responses.Conclusion: Global DNA methylation modes can be used to predict the immunophenotypes, aggressiveness, and immune responses of bladder cancer. DNA methylation status assessments will strengthen our insights into the features of the immune microenvironment and promote the development of more effective treatment strategies.
abstract_unstemmed	Background: Considering the heterogeneity and complexity of epigenetic regulation in bladder cancer, the underlying mechanisms of global DNA methylation modification in the immune microenvironment must be investigated to predict the prognosis outcomes and clinical response to immunotherapy.Methods: We systematically assessed the DNA methylation modes of 985 integrated bladder cancer samples with the unsupervised clustering algorithm. Subsequently, these DNA methylation modes were analyzed for their correlations with features of the immune microenvironment. The principal analysis algorithm was performed to calculate the DMRscores of each samples for qualification analysis.Findings: Three DNA methylation modes were revealed among 985 bladder cancer samples, and these modes are related to diverse clinical outcomes and several immune microenvironment phenotypes, e.g., immune-desert, immune-inflamed, and immune-excluded ones. Then patients were classified into high- and low-DMRscore subgroups according to the DMRscore, which was calculated based on the expression of DNA methylation related genes (DMRGs). Patients with the low-DMRscore subgroup presented a prominent survival advantage that was significantly correlated to the immune-inflamed phenotype. Further analysis revealed that patients with low DMRscores exhibited less TP53 wild mutation, lower cancer stage and molecular subtypes were mainly papillary subtypes. In addition, an independent immunotherapy cohort confirmed that DMRscore could serve as a signature to predict prognosis outcomes and immune responses.Conclusion: Global DNA methylation modes can be used to predict the immunophenotypes, aggressiveness, and immune responses of bladder cancer. DNA methylation status assessments will strengthen our insights into the features of the immune microenvironment and promote the development of more effective treatment strategies.
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title_short	DNA Methylation Modification Map to Predict Tumor Molecular Subtypes and Efficacy of Immunotherapy in Bladder Cancer
url	https://doi.org/10.3389/fcell.2021.760369 https://doaj.org/article/227e965f12f74acab84b3886153e2f1c https://www.frontiersin.org/articles/10.3389/fcell.2021.760369/full https://doaj.org/toc/2296-634X
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author2	Fangdie Ye Yingchun Liang Jimeng Hu Yun Hu Yufei Liu Zhang Cheng Yuxi Ou Chenyang Xu Haowen Jiang
author2Str	Fangdie Ye Yingchun Liang Jimeng Hu Yun Hu Yufei Liu Zhang Cheng Yuxi Ou Chenyang Xu Haowen Jiang
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doi_str	10.3389/fcell.2021.760369
callnumber-a	QH301-705.5
up_date	2024-07-03T13:54:38.180Z
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