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
Main Authors: Fang, Xiaolu, Liu, Deyang, Zhao, Jianzhong, Li, Xiaojia, He, Ting, Liu, Baishan
Format: Journal Article
Language:English
Published: Frontiers Media S.A 08-09-2023
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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.
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
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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
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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
URI https://search.proquest.com/docview/2868670860
https://pubmed.ncbi.nlm.nih.gov/PMC10514473
https://doaj.org/article/6459b5ba836945269f7c80026bfb2956
Volume 14
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