Using proteomics and metabolomics to identify therapeutic targets for senescence mediated cancer: genetic complementarity method
Background Senescence have emerged as potential factors of lung cancer risk based on findings from many studies. However, the underlying pathogenesis of lung cancer caused by senescence is not clear. In this study, we try to explain the potential pathogenesis between senescence and lung cancer throu...
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Published in: | Frontiers in endocrinology (Lausanne) Vol. 14; p. 1255889 |
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Abstract | Background
Senescence have emerged as potential factors of lung cancer risk based on findings from many studies. However, the underlying pathogenesis of lung cancer caused by senescence is not clear. In this study, we try to explain the potential pathogenesis between senescence and lung cancer through proteomics and metabonomics. And try to find new potential therapeutic targets in lung cancer patients through network mendelian randomization (MR).
Methods
The genome-wide association data of this study was mainly obtained from a meta-analysis and the Transdisciplinary Research in Cancer of the Lung Consortium (TRICL), respectively.And in this study, we mainly used genetic complementarity methods to explore the susceptibility of aging to lung cancer. Additionally, a mediation analysis was performed to explore the potential mediating role of proteomics and metabonomics, using a network MR design.
Results
GNOVA analysis revealed a shared genetic structure between HannumAge and lung cancer with a significant genetic correlation estimated at 0.141 and 0.135, respectively. MR analysis showed a relationship between HannumAge and lung cancer, regardless of smoking status. Furthermore, genetically predicted HannumAge was consistently associated with the proteins C-type lectin domain family 4 member D (CLEC4D) and Retinoic acid receptor responder protein 1 (RARR-1), indicating their potential role as mediators in the causal pathway.
Conclusion
HannumAge acceleration may increase the risk of lung cancer, some of which may be mediated by CLEC4D and RARR-1, suggestion that CLEC4D and RARR-1 may serve as potential drug targets for the treatment of lung cancer. |
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AbstractList | Background
Senescence have emerged as potential factors of lung cancer risk based on findings from many studies. However, the underlying pathogenesis of lung cancer caused by senescence is not clear. In this study, we try to explain the potential pathogenesis between senescence and lung cancer through proteomics and metabonomics. And try to find new potential therapeutic targets in lung cancer patients through network mendelian randomization (MR).
Methods
The genome-wide association data of this study was mainly obtained from a meta-analysis and the Transdisciplinary Research in Cancer of the Lung Consortium (TRICL), respectively.And in this study, we mainly used genetic complementarity methods to explore the susceptibility of aging to lung cancer. Additionally, a mediation analysis was performed to explore the potential mediating role of proteomics and metabonomics, using a network MR design.
Results
GNOVA analysis revealed a shared genetic structure between HannumAge and lung cancer with a significant genetic correlation estimated at 0.141 and 0.135, respectively. MR analysis showed a relationship between HannumAge and lung cancer, regardless of smoking status. Furthermore, genetically predicted HannumAge was consistently associated with the proteins C-type lectin domain family 4 member D (CLEC4D) and Retinoic acid receptor responder protein 1 (RARR-1), indicating their potential role as mediators in the causal pathway.
Conclusion
HannumAge acceleration may increase the risk of lung cancer, some of which may be mediated by CLEC4D and RARR-1, suggestion that CLEC4D and RARR-1 may serve as potential drug targets for the treatment of lung cancer. BackgroundSenescence have emerged as potential factors of lung cancer risk based on findings from many studies. However, the underlying pathogenesis of lung cancer caused by senescence is not clear. In this study, we try to explain the potential pathogenesis between senescence and lung cancer through proteomics and metabonomics. And try to find new potential therapeutic targets in lung cancer patients through network mendelian randomization (MR).MethodsThe genome-wide association data of this study was mainly obtained from a meta-analysis and the Transdisciplinary Research in Cancer of the Lung Consortium (TRICL), respectively.And in this study, we mainly used genetic complementarity methods to explore the susceptibility of aging to lung cancer. Additionally, a mediation analysis was performed to explore the potential mediating role of proteomics and metabonomics, using a network MR design.ResultsGNOVA analysis revealed a shared genetic structure between HannumAge and lung cancer with a significant genetic correlation estimated at 0.141 and 0.135, respectively. MR analysis showed a relationship between HannumAge and lung cancer, regardless of smoking status. Furthermore, genetically predicted HannumAge was consistently associated with the proteins C-type lectin domain family 4 member D (CLEC4D) and Retinoic acid receptor responder protein 1 (RARR-1), indicating their potential role as mediators in the causal pathway.ConclusionHannumAge acceleration may increase the risk of lung cancer, some of which may be mediated by CLEC4D and RARR-1, suggestion that CLEC4D and RARR-1 may serve as potential drug targets for the treatment of lung cancer. |
Author | Liu, Deyang Liu, Baishan Li, Xiaojia Fang, Xiaolu Zhao, Jianzhong He, Ting |
AuthorAffiliation | 2 Department of Rehabilitation Medicine, Xiangyang No.1 People’s Hospital, Hubei University of Medicine , Xiangyang , China 1 Department of Clinical Laboratory, Xiangyang No.1 People’s Hospital, Hubei University of Medicine , Xiangyang , China 3 Department of Respiratory, Jiulongpo District People’s Hospital of Chongqing , Chongqing , China |
AuthorAffiliation_xml | – name: 1 Department of Clinical Laboratory, Xiangyang No.1 People’s Hospital, Hubei University of Medicine , Xiangyang , China – name: 3 Department of Respiratory, Jiulongpo District People’s Hospital of Chongqing , Chongqing , China – name: 2 Department of Rehabilitation Medicine, Xiangyang No.1 People’s Hospital, Hubei University of Medicine , Xiangyang , China |
Author_xml | – sequence: 1 givenname: Xiaolu surname: Fang fullname: Fang, Xiaolu – sequence: 2 givenname: Deyang surname: Liu fullname: Liu, Deyang – sequence: 3 givenname: Jianzhong surname: Zhao fullname: Zhao, Jianzhong – sequence: 4 givenname: Xiaojia surname: Li fullname: Li, Xiaojia – sequence: 5 givenname: Ting surname: He fullname: He, Ting – sequence: 6 givenname: Baishan surname: Liu fullname: Liu, Baishan |
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Cites_doi | 10.1038/ng.3211 10.1074/jbc.M114.566489 10.1093/ije/dyw220 10.1002/gepi.21758 10.1038/ng.109 10.1038/s41576-018-0004-3 10.1038/nature06885 10.1038/ng.2982 10.1136/bmj.315.7121.1533 10.18632/aging.101414 10.1038/ncomms14357 10.1186/gb-2013-14-10-r115 10.18632/aging.100809 10.1186/s13059-021-02398-9 10.1186/1742-4933-5-11 10.1016/j.ajhg.2017.11.001 10.18632/aging.101684 10.1016/j.ejca.2017.01.014 10.1016/j.molcel.2012.10.016 10.1016/j.ebiom.2022.104083 10.1093/gerona/glaa286 10.3390/cancers13081881 10.1093/genetics/163.3.1153 10.1038/ncomms11122 10.1002/ijc.31189 10.1016/j.cell.2013.05.039 10.3389/fimmu.2020.00251 10.3389/fcell.2021.681372 10.18632/aging.102523 10.1038/s41586-018-0175-2 10.1111/acel.13229 10.1038/s41588-018-0099-7 10.1093/ije/dyu176 10.1371/journal.pgen.1006706 10.1016/j.cell.2015.02.046 10.1002/sim.7221 10.1007/s10654-017-0255-x 10.1016/j.ajhg.2009.09.012 10.3390/ijms232314984 |
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Notes | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 These authors have contributed equally to this work Reviewed by: Peizhi Deng, Central South University, China; Yixiang Zhan, Nankai University, China; Ke Bi, Tongji University, China Edited by: Qun Zhao, Fourth Hospital of Hebei Medical University, China |
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Snippet | Background
Senescence have emerged as potential factors of lung cancer risk based on findings from many studies. However, the underlying pathogenesis of lung... BackgroundSenescence have emerged as potential factors of lung cancer risk based on findings from many studies. However, the underlying pathogenesis of lung... |
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SubjectTerms | Endocrinology genetic complementarity method senescence lung cancer Network Mendelian randomization proteomics and metabolomics senescence therapeutic target |
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Title | Using proteomics and metabolomics to identify therapeutic targets for senescence mediated cancer: genetic complementarity method |
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