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尿金属组学作为一种新型生物标志物发现平台:以乳腺癌为例的研究

Urinary metallomics as a novel biomarker discovery platform: Breast cancer as a case study.

作者信息

Burton Casey, Dan Yongbo, Donovan Ariel, Liu Kun, Shi Honglan, Ma Yinfa, Bosnak Cynthia P

机构信息

Department of Chemistry, Center for Single Nanoparticle, Single Cell, and Single Molecule Monitoring, Missouri University of Science and Technology, Rolla, MO 65409, United States.

Department of Chemistry, Center for Single Nanoparticle, Single Cell, and Single Molecule Monitoring, Missouri University of Science and Technology, Rolla, MO 65409, United States.

出版信息

Clin Chim Acta. 2016 Jan 15;452:142-8. doi: 10.1016/j.cca.2015.11.014. Epub 2015 Nov 14.

Abstract

BACKGROUND

Urinary metallomics is presented here as a new "omics" approach that aims to facilitate personalized cancer screening and prevention by improving our understanding of urinary metals in disease.

METHODS

Twenty-two urinary metals were examined with inductively-coupled plasma-mass spectrometry in 138 women newly diagnosed with breast cancer and benign conditions. Urinary metals from spot urine samples were adjusted to renal dilution using urine specific gravity.

RESULTS

Two urinary metals, copper (P-value=0.036) and lead (P-value=0.003), were significantly increased in the urine of breast cancer patients. A multivariate model that comprised copper, lead, and patient age afforded encouraging discriminatory power (AUC: 0.728, P-value<0.0005), while univariate models of copper (61.7% sensitivity, 50.0% specificity) and lead (76.6% sensitivity, 51.2% specificity) at optimized cutoff thresholds compared favorably with other breast cancer diagnostic modalities such as mammography. Correlations found among various metals suggested potential geographic and dietary influences on the urine metallome that warrant further investigation.

CONCLUSIONS

This proof-of-concept work introduces urinary metallomics as a noninvasive, potentially transformative "omics" approach to early cancer detection. Urinary copper and lead have also been preliminarily identified as potential breast cancer biomarkers.

摘要

背景

尿金属组学作为一种新的“组学”方法在此被提出,其旨在通过增进我们对疾病中尿金属的理解来促进个性化癌症筛查和预防。

方法

采用电感耦合等离子体质谱法检测了138例新诊断为乳腺癌及良性疾病的女性的22种尿金属。利用尿比重将随机尿样中的尿金属调整为肾脏稀释状态。

结果

乳腺癌患者尿液中的两种金属,铜(P值 = 0.036)和铅(P值 = 0.003)显著升高。一个包含铜、铅和患者年龄的多变量模型具有令人鼓舞的鉴别能力(曲线下面积:0.728,P值 < 0.0005),而在优化的临界阈值下,铜(灵敏度61.7%,特异性50.0%)和铅(灵敏度76.6%,特异性51.2%)的单变量模型与其他乳腺癌诊断方法如乳房X线摄影术相比具有优势。在各种金属之间发现的相关性表明,地理和饮食对尿金属组可能存在影响,值得进一步研究。

结论

这项概念验证工作将尿金属组学作为一种用于早期癌症检测的非侵入性、潜在变革性的“组学”方法引入。尿铜和铅也已被初步鉴定为潜在的乳腺癌生物标志物。

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