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

被引:40
|
作者
Burton, Casey [1 ]
Dan, Yongbo [1 ]
Donovan, Ariel [1 ]
Liu, Kun [1 ]
Shi, Honglan [1 ]
Ma, Yinfa [1 ]
Bosnak, Cynthia P. [2 ]
机构
[1] Missouri Univ Sci & Technol, Dept Chem, Ctr Single Nanoparticle Single Cell & Single Mol, Rolla, MO 65409 USA
[2] PerkinElmer Inc, 940 Winter St, Waltham, MA 02451 USA
基金
美国国家科学基金会;
关键词
Breast cancer metallomics; Urinary metallomics; ICP-MS; Urinary lead; Urinary copper; Noninvasive breast cancer screening; TRACE-ELEMENTS; ZINC LEVELS; METAL; METALLOTHIONEIN; COPPER; CREATININE; EXPRESSION; HAIR; PROTEINS; VALIDITY;
D O I
10.1016/j.cca.2015.11.014
中图分类号
R446 [实验室诊断]; R-33 [实验医学、医学实验];
学科分类号
1001 ;
摘要
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. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码:142 / 148
页数:7
相关论文
共 50 条
  • [21] Window of Opportunity trials for biomarker discovery in breast cancer
    Arnedos, Monica
    Roulleaux Dugage, Matthieu
    Perez-Garcia, Jose
    Cortes, Javier
    CURRENT OPINION IN ONCOLOGY, 2019, 31 (06) : 486 - 492
  • [22] Breast Cancer Biomarker Discovery: Proteomics and Genomics Approaches
    Safaei, Akram
    Rezaei-Tavirani, Mostafa
    Sobhi, Sara
    Akbari, Mohammad Esmaeil
    IRANIAN JOURNAL OF CANCER PREVENTION, 2013, 6 : 45 - 53
  • [23] Module-Based Biomarker Discovery in Breast Cancer
    Zhang, Yuji
    Xuan, Jason J.
    Clarke, Robert
    Ressom, Habtom W.
    2010 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE, 2010, : 352 - 356
  • [24] New Trends in Molecular Biomarker Discovery for Breast Cancer
    Radpour, Ramin
    Barekati, Zeinab
    Kohler, Corina
    Holzgreve, Wolfgang
    Zhong, Xiao Yan
    GENETIC TESTING AND MOLECULAR BIOMARKERS, 2009, 13 (05) : 565 - 571
  • [25] An Integrative Genomics Approach to Biomarker Discovery in Breast Cancer
    Hicks, Chindo
    Asfour, Rozana
    Pannuti, Antonio
    Miele, Lucio
    CANCER INFORMATICS, 2011, 10 : 185 - 204
  • [26] iFiT: An Integrative Bioinformatics Platform for Biomarker and Target Discovery. A Case Study in Neuroendocrine Tumors
    Tourlet, S.
    Scaerou, F.
    Martin, A.
    Thiagalingam, A.
    Paty, I.
    Naudin, L.
    Harris, P.
    NEUROENDOCRINOLOGY, 2016, 103 : 51 - 51
  • [27] Discovery of urinary exosomal protein-based bladder cancer biomarker and development of a novel diagnostic technique
    Tomiyama, Eisuke
    Fujita, Kazutoshi
    Matsuzaki, Kyosuke
    Yamamoto, Akinaru
    Uemura, Toshihiro
    Yamamichi, Gaku
    Kato, Taigo
    Hatano, Koji
    Kawashima, Atsunari
    Uemura, Motohide
    Ukekawa, Ryo
    Uemura, Hirotsugu
    Adachi, Jun
    Tomonaga, Takeshi
    Nonomura, Norio
    CANCER SCIENCE, 2023, 114 : 1376 - 1376
  • [28] Discovery of urinary exosomal protein-based bladder cancer biomarker and development of a novel diagnostic technique
    Tomiyama, Eisuke
    Fujita, Kazutoshi
    Matsuzaki, Kyosuke
    Yamamoto, Akinaru
    Uemura, Toshihiro
    Yamamichi, Gaku
    Kato, Taigo
    Hatano, Koji
    Kawashima, Atsunari
    Uemura, Motohide
    Ukekawa, Ryo
    Uemura, Hirotsugu
    Adachi, Jun
    Tomonaga, Takeshi
    Nonomura, Norio
    CANCER SCIENCE, 2023, 114 : 841 - 841
  • [29] Enhancer mapping in triple-negative breast cancer as a tool for novel biomarker and oncogene discovery
    Raisner, Ryan
    Bainer, Russ
    Gascoigne, Karen
    CANCER RESEARCH, 2018, 78 (13)
  • [30] Biological insights and novel biomarker discovery through deep learning approaches in breast cancer histopathology
    Divneet Mandair
    Jorge S. Reis-Filho
    Alan Ashworth
    npj Breast Cancer, 9