Causal associations between circulating protein ratios and drug resistance in papillary thyroid cancer: a Mendelian randomization study.

IF 2.9 4区 医学 Q3 ENDOCRINOLOGY & METABOLISM Discover. Oncology Pub Date : 2025-01-04 DOI:10.1007/s12672-025-01758-2
Jiaqin Deng, Ming Yu, Yihua Gu, Yeqian Lai, Lihong Qiu
{"title":"Causal associations between circulating protein ratios and drug resistance in papillary thyroid cancer: a Mendelian randomization study.","authors":"Jiaqin Deng, Ming Yu, Yihua Gu, Yeqian Lai, Lihong Qiu","doi":"10.1007/s12672-025-01758-2","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>Circulating protein level ratios (CPLRs) may play a crucial role in tumor progression and drug resistance by mediating interactions within the tumor microenvironment. This study aims to investigate the causal associations between CPLRs and papillary thyroid cancer (PTC), focusing on their potential implications in drug resistance mechanisms.</p><p><strong>Methods: </strong>Genetic data for 2821 CPLRs were obtained from the GWAS and FinnGen databases. Mendelian randomization (MR) analysis, using inverse variance weighting (IVW) as the primary method, was conducted to explore causality. Sensitivity analyses, including heterogeneity and pleiotropy tests, were performed to ensure the robustness of the results.</p><p><strong>Results: </strong>Twelve CPLRs were identified as causally associated with PTC. Seven CPLRs, such as REG1A/TFF3 and LAT/SPARC, were associated with reduced PTC risk, potentially reflecting protective mechanisms. In contrast, five CPLRs, including MAD1L1/PSIP1 and CIAPIN1/TYMP, were linked to increased risk, suggesting their role in promoting drug resistance. Reverse MR analysis revealed no significant causal associations, reinforcing the directionality of these findings.</p><p><strong>Conclusion: </strong>These findings highlight the relevance of CPLRs in the pathogenesis and drug resistance of PTC, providing insights into potential biomarkers and therapeutic targets. Future research could focus on translating these findings into strategies for personalized medicine and targeted treatment.</p>","PeriodicalId":11148,"journal":{"name":"Discover. Oncology","volume":"16 1","pages":"4"},"PeriodicalIF":2.9000,"publicationDate":"2025-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Discover. Oncology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s12672-025-01758-2","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
引用次数: 0

Abstract

Objective: Circulating protein level ratios (CPLRs) may play a crucial role in tumor progression and drug resistance by mediating interactions within the tumor microenvironment. This study aims to investigate the causal associations between CPLRs and papillary thyroid cancer (PTC), focusing on their potential implications in drug resistance mechanisms.

Methods: Genetic data for 2821 CPLRs were obtained from the GWAS and FinnGen databases. Mendelian randomization (MR) analysis, using inverse variance weighting (IVW) as the primary method, was conducted to explore causality. Sensitivity analyses, including heterogeneity and pleiotropy tests, were performed to ensure the robustness of the results.

Results: Twelve CPLRs were identified as causally associated with PTC. Seven CPLRs, such as REG1A/TFF3 and LAT/SPARC, were associated with reduced PTC risk, potentially reflecting protective mechanisms. In contrast, five CPLRs, including MAD1L1/PSIP1 and CIAPIN1/TYMP, were linked to increased risk, suggesting their role in promoting drug resistance. Reverse MR analysis revealed no significant causal associations, reinforcing the directionality of these findings.

Conclusion: These findings highlight the relevance of CPLRs in the pathogenesis and drug resistance of PTC, providing insights into potential biomarkers and therapeutic targets. Future research could focus on translating these findings into strategies for personalized medicine and targeted treatment.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
甲状腺乳头状癌中循环蛋白比率与耐药之间的因果关系:一项孟德尔随机研究。
目的:循环蛋白水平比值(CPLRs)可能通过介导肿瘤微环境内的相互作用在肿瘤进展和耐药中发挥关键作用。本研究旨在探讨cplr与甲状腺乳头状癌(PTC)之间的因果关系,重点探讨其在耐药机制中的潜在意义。方法:从GWAS和FinnGen数据库中获取2821个cplr的遗传数据。采用方差反加权(IVW)作为主要方法,进行孟德尔随机化(MR)分析,探讨因果关系。进行敏感性分析,包括异质性和多效性试验,以确保结果的稳健性。结果:12个cplr被确定与PTC有因果关系。7种cplr,如REG1A/TFF3和LAT/SPARC,与PTC风险降低相关,可能反映了保护机制。相比之下,包括MAD1L1/PSIP1和CIAPIN1/TYMP在内的5种cplr与风险增加有关,表明它们在促进耐药中起作用。反向磁共振分析显示没有显著的因果关系,加强了这些发现的方向性。结论:这些发现突出了cplr与PTC发病机制和耐药的相关性,为潜在的生物标志物和治疗靶点提供了见解。未来的研究可以集中在将这些发现转化为个性化医疗和靶向治疗的策略上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Discover. Oncology
Discover. Oncology Medicine-Endocrinology, Diabetes and Metabolism
CiteScore
2.40
自引率
9.10%
发文量
122
审稿时长
5 weeks
期刊最新文献
Insulin resistance as a modifiable contributor to breast cancer: mechanisms, biomarkers, and therapeutic implications. Research progresses on FLASH radiotherapy and its application for the treatment of digestive system tumors. Probing uric acid-related prognostic genes and their molecular mechanisms in prostate cancer based on transcriptomic data. A cancer neuroscience-related gene model for prognosis prediction and immunotherapy response evaluation in breast cancer. Integrative machine learning analysis suggests novel molecular targets for liver cancer diagnosis and therapy.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1