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

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Title: Urinary metallomics as a novel biomarker discovery platform: Breast cancer as a case study.
Authors: Burton, Casey1, Dan, Yongbo1, Donovan, Ariel1, Liu, Kun1, Shi, Honglan1, Ma, Yinfa1 yinfa@mst.edu, Bosnak, Cynthia P.2
Source: Clinica Chimica Acta. Jan2016, Vol. 452, p142-148. 7p.
Subjects: Breast cancer diagnosis, Biomarkers, Medical screening, Individualized medicine, Inductively coupled plasma mass spectrometry, Specific gravity
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. [ABSTRACT FROM AUTHOR]
Copyright of Clinica Chimica Acta is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Urinary metallomics as a novel biomarker discovery platform: Breast cancer as a case study.
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  Data: &lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Burton%2C+Casey%22&quot;&gt;Burton, Casey&lt;/searchLink&gt;&lt;relatesTo&gt;1&lt;/relatesTo&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Dan%2C+Yongbo%22&quot;&gt;Dan, Yongbo&lt;/searchLink&gt;&lt;relatesTo&gt;1&lt;/relatesTo&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Donovan%2C+Ariel%22&quot;&gt;Donovan, Ariel&lt;/searchLink&gt;&lt;relatesTo&gt;1&lt;/relatesTo&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Liu%2C+Kun%22&quot;&gt;Liu, Kun&lt;/searchLink&gt;&lt;relatesTo&gt;1&lt;/relatesTo&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Shi%2C+Honglan%22&quot;&gt;Shi, Honglan&lt;/searchLink&gt;&lt;relatesTo&gt;1&lt;/relatesTo&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Ma%2C+Yinfa%22&quot;&gt;Ma, Yinfa&lt;/searchLink&gt;&lt;relatesTo&gt;1&lt;/relatesTo&gt;&lt;i&gt; yinfa@mst.edu&lt;/i&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Bosnak%2C+Cynthia+P%2E%22&quot;&gt;Bosnak, Cynthia P.&lt;/searchLink&gt;&lt;relatesTo&gt;2&lt;/relatesTo&gt;
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  Data: &lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Breast+cancer+diagnosis%22&quot;&gt;Breast cancer diagnosis&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Biomarkers%22&quot;&gt;Biomarkers&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Medical+screening%22&quot;&gt;Medical screening&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Individualized+medicine%22&quot;&gt;Individualized medicine&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Inductively+coupled+plasma+mass+spectrometry%22&quot;&gt;Inductively coupled plasma mass spectrometry&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Specific+gravity%22&quot;&gt;Specific gravity&lt;/searchLink&gt;
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  Data: 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 &lt; 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. [ABSTRACT FROM AUTHOR]
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  Data: &lt;i&gt;Copyright of Clinica Chimica Acta is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder&#39;s express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.&lt;/i&gt; (Copyright applies to all Abstracts.)
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        Value: 10.1016/j.cca.2015.11.014
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        Text: English
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      – SubjectFull: Breast cancer diagnosis
        Type: general
      – SubjectFull: Biomarkers
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      – SubjectFull: Medical screening
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      – SubjectFull: Inductively coupled plasma mass spectrometry
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      – SubjectFull: Specific gravity
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      – TitleFull: Urinary metallomics as a novel biomarker discovery platform: Breast cancer as a case study.
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              Text: Jan2016
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