Potential biomarkers for predicting the risk of thyroid cancer in immunosenescence: a population-based and externally validated multi omics study

ObjectivesGenome-wide association studies (GWAS) have pinpointed several risk loci linked to thyroid cancer; however, the discovery of new plasma proteins implicated in immunosenescence continues to pose significant challenges. This study aims to uncover novel plasma proteins tied to aging, potentia...

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Main Authors: Qian Li, Yuanyuan Zhao, Jiawei Yan, Chao He
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Oncology
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Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2024.1525767/full
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author Qian Li
Yuanyuan Zhao
Jiawei Yan
Chao He
author_facet Qian Li
Yuanyuan Zhao
Jiawei Yan
Chao He
author_sort Qian Li
collection DOAJ
description ObjectivesGenome-wide association studies (GWAS) have pinpointed several risk loci linked to thyroid cancer; however, the discovery of new plasma proteins implicated in immunosenescence continues to pose significant challenges. This study aims to uncover novel plasma proteins tied to aging, potentially contributing to thyroid cancer, utilizing diverse investigative methodologies.MethodsIn this research, we utilized an integrative omics approach to identify novel plasma proteins associated with immunosenescence in relation to the risk of thyroid cancer. Additionally, we performed meta-analyses to pinpoint loci and genes affected by pleiotropic effects. Finally, complementary results were obtained from an independent cohort analyzed at Chongqing Medical University Yongchuan Hospital and Bulk-RNA seq from GEO database.ResultsCausal analysis suggests that DNA methylation age acceleration as measured by the Hannum method increases the risk of thyroid cancer (OR: 1.126, 95% CI: 1.002-1.265, P=0.046). Subsequently, we conducted a meta-analysis on the relationship between Hannum DNA methylation age and thyroid cancer risk, which identified 138 potential risk loci through FUMA. Additionally, proteomics and transcriptomics collectively identified 6 potential targets related to immunosenescence and thyroid cancer. Subsequently, Bulk-seq results indicated differential expression of GFRA2 and LILRA2 genes in thyroid cancer. Finally, analyses from an independent cohort at the Second Affiliated Hospital of Chongqing Medical University also demonstrated high expression of LILRA2 in thyroid cancer patients.ConclusionsThis study identified novel plasma proteins associated with immunosenescence that may be linked to thyroid cancer development. These findings enhance our understanding of the immunosenescence-thyroid cancer link and support future diagnostic and therapeutic developments.
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spelling doaj-art-d10662825c44402b975e7ef9e004f5802025-01-21T05:42:58ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2025-01-011410.3389/fonc.2024.15257671525767Potential biomarkers for predicting the risk of thyroid cancer in immunosenescence: a population-based and externally validated multi omics studyQian Li0Yuanyuan Zhao1Jiawei Yan2Chao He3Department of Emergency Medicine, Yongchuan Hospital, Chongqing Medical University Affiliated Hospital, Chongqing, ChinaDepartment of Orthopaedics, Yongchuan Hospital, Chongqing Medical University Affiliated Hospital, Chongqing, ChinaDepartment of Emergency Medicine, Yongchuan Hospital, Chongqing Medical University Affiliated Hospital, Chongqing, ChinaDepartment of Orthopaedics, Yongchuan Hospital, Chongqing Medical University Affiliated Hospital, Chongqing, ChinaObjectivesGenome-wide association studies (GWAS) have pinpointed several risk loci linked to thyroid cancer; however, the discovery of new plasma proteins implicated in immunosenescence continues to pose significant challenges. This study aims to uncover novel plasma proteins tied to aging, potentially contributing to thyroid cancer, utilizing diverse investigative methodologies.MethodsIn this research, we utilized an integrative omics approach to identify novel plasma proteins associated with immunosenescence in relation to the risk of thyroid cancer. Additionally, we performed meta-analyses to pinpoint loci and genes affected by pleiotropic effects. Finally, complementary results were obtained from an independent cohort analyzed at Chongqing Medical University Yongchuan Hospital and Bulk-RNA seq from GEO database.ResultsCausal analysis suggests that DNA methylation age acceleration as measured by the Hannum method increases the risk of thyroid cancer (OR: 1.126, 95% CI: 1.002-1.265, P=0.046). Subsequently, we conducted a meta-analysis on the relationship between Hannum DNA methylation age and thyroid cancer risk, which identified 138 potential risk loci through FUMA. Additionally, proteomics and transcriptomics collectively identified 6 potential targets related to immunosenescence and thyroid cancer. Subsequently, Bulk-seq results indicated differential expression of GFRA2 and LILRA2 genes in thyroid cancer. Finally, analyses from an independent cohort at the Second Affiliated Hospital of Chongqing Medical University also demonstrated high expression of LILRA2 in thyroid cancer patients.ConclusionsThis study identified novel plasma proteins associated with immunosenescence that may be linked to thyroid cancer development. These findings enhance our understanding of the immunosenescence-thyroid cancer link and support future diagnostic and therapeutic developments.https://www.frontiersin.org/articles/10.3389/fonc.2024.1525767/fullDNA methylation hannum agegenerated genetic risk scoresmeta-analysisthyroid cancerexternal validation
spellingShingle Qian Li
Yuanyuan Zhao
Jiawei Yan
Chao He
Potential biomarkers for predicting the risk of thyroid cancer in immunosenescence: a population-based and externally validated multi omics study
Frontiers in Oncology
DNA methylation hannum age
generated genetic risk scores
meta-analysis
thyroid cancer
external validation
title Potential biomarkers for predicting the risk of thyroid cancer in immunosenescence: a population-based and externally validated multi omics study
title_full Potential biomarkers for predicting the risk of thyroid cancer in immunosenescence: a population-based and externally validated multi omics study
title_fullStr Potential biomarkers for predicting the risk of thyroid cancer in immunosenescence: a population-based and externally validated multi omics study
title_full_unstemmed Potential biomarkers for predicting the risk of thyroid cancer in immunosenescence: a population-based and externally validated multi omics study
title_short Potential biomarkers for predicting the risk of thyroid cancer in immunosenescence: a population-based and externally validated multi omics study
title_sort potential biomarkers for predicting the risk of thyroid cancer in immunosenescence a population based and externally validated multi omics study
topic DNA methylation hannum age
generated genetic risk scores
meta-analysis
thyroid cancer
external validation
url https://www.frontiersin.org/articles/10.3389/fonc.2024.1525767/full
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