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血清蛋白对肿瘤发生的机制性见解。

Mechanistic Insights into Tumorigenesis from Serum Proteins.

作者信息

Emilsson Valur, Gudmundsdottir Valborg, Bankier Sean, Frick Elisabet A, Jonmundsson Thorarinn, Arnarsson Kari, Ingvarsdottir Hulda K, Bjarnadottir Heida, Loureiro Joseph, Jacobsen Eva, Aspelund Thor, Briem Eirikur, Launer Lenore J, Bastiaannet Esther, Michoel Tom, Haraldsdottir Sigurdis, Bodvarsdottir Sigridur K, Gudjonsson Thorarinn, Finkel Nancy, Orth Anthony P, Jennings Lori L, Lamb John R, Gudnason Vilmundur

机构信息

Icelandic Heart Association, Holtasmari 1, IS-201 Kopavogur, Iceland.

Faculty of Medicine, University of Iceland, 101 Reykjavik, Iceland.

出版信息

medRxiv. 2025 Jun 5:2025.06.04.25328977. doi: 10.1101/2025.06.04.25328977.

Abstract

Improving early cancer detection would have a transformative effect on patient survival and associated societal costs. Ideally, this would involve tests that are minimally invasive, cancer-type specific and provide mechanistic insights. To address this need, we analyzed associations between 7,523 human serum proteins and 13 cancer types in 5,376 participants from the prospective, population-based AGES Reykjavik cohort. The study included 1,235 cancer cases spanning the digestive, genitourinary, respiratory, and female reproductive systems, as well as skin cancer. The analysis was conducted both longitudinally and cross-sectionally, with adjustments made for various well-established cancer risk factors. After accounting for age, sex, clinical, and lifestyle factors, 526 serum proteins were significantly associated with either prevalent (diagnosed prior to blood draw) or incident (diagnosed after blood draw) clinical presentation of the various types of cancer. Additionally, 776 circulating proteins were influenced by known genetic risk loci for various cancers, including 114 of the 526 mentioned above. Some serum protein associations were shared across cancer types, both prevalent and incident, as well as with genetic susceptibility loci. To contextualize these findings, we integrated our results with both internal and external datasets, including known cancer genes, germline genetic risk loci, tumor- and tissue-specific expression profiles, oncogenes and tumor suppressor genes, and circulating protein networks. This integrative analysis highlights distinct functional categories of protein involvement and reveals the complex and specific etiology of cancer. These findings support the potential for population-level surveillance, early cancer detection, and molecular insights into tumorigenesis.

摘要

改善早期癌症检测将对患者生存率及相关社会成本产生变革性影响。理想情况下,这将涉及微创、癌症类型特异性且能提供机制性见解的检测方法。为满足这一需求,我们分析了来自基于人群的前瞻性AGES雷克雅未克队列研究中5376名参与者的7523种人血清蛋白与13种癌症类型之间的关联。该研究纳入了1235例癌症病例,涵盖消化系统、泌尿生殖系统、呼吸系统、女性生殖系统以及皮肤癌。分析分别采用纵向和横断面研究方法,并对各种已确定的癌症风险因素进行了调整。在考虑年龄、性别、临床和生活方式因素后,526种血清蛋白与各种癌症类型的现患(采血前诊断)或新发(采血后诊断)临床表现显著相关。此外,776种循环蛋白受到各种癌症已知遗传风险位点的影响,其中包括上述526种中的114种。一些血清蛋白关联在现患和新发癌症类型之间共享,并且与遗传易感性位点相关。为了更好地理解这些发现,我们将研究结果与内部和外部数据集进行整合,包括已知的癌症基因、种系遗传风险位点、肿瘤和组织特异性表达谱、癌基因和肿瘤抑制基因以及循环蛋白网络。这种综合分析突出了蛋白参与的不同功能类别,并揭示了癌症复杂而独特的病因。这些发现支持了在人群水平进行监测、早期癌症检测以及对肿瘤发生进行分子洞察的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c474/12155102/99b74fe23905/nihpp-2025.06.04.25328977v1-f0001.jpg

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