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Mining the plasma proteome for cancer biomarkers

Author

Listed:
  • Samir M. Hanash

    (Fred Hutchinson Cancer Research Center)

  • Sharon J. Pitteri

    (Fred Hutchinson Cancer Research Center)

  • Vitor M. Faca

    (Fred Hutchinson Cancer Research Center)

Abstract

Systematic searches for plasma proteins that are biological indicators, or biomarkers, for cancer are underway. The difficulties caused by the complexity of biological-fluid proteomes and tissue proteomes (which contribute proteins to plasma) and by the extensive heterogeneity among diseases, subjects and levels of sample procurement are gradually being overcome. This is being achieved through rigorous experimental design and in-depth quantitative studies. The expected outcome is the development of panels of biomarkers that will allow early detection of cancer and prediction of the probable response to therapy. Achieving these objectives requires high-quality specimens with well-matched controls, reagent resources, and an efficient process to confirm discoveries through independent validation studies.

Suggested Citation

  • Samir M. Hanash & Sharon J. Pitteri & Vitor M. Faca, 2008. "Mining the plasma proteome for cancer biomarkers," Nature, Nature, vol. 452(7187), pages 571-579, April.
    • Handle: RePEc:nat:nature:v:452:y:2008:i:7187:d:10.1038_nature06916
    DOI: 10.1038/nature06916
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    Cited by:

    1. Jinfeng Zou & Guini Hong & Xinwu Guo & Lin Zhang & Chen Yao & Jing Wang & Zheng Guo, 2011. "Reproducible Cancer Biomarker Discovery in SELDI-TOF MS Using Different Pre-Processing Algorithms," PLOS ONE, Public Library of Science, vol. 6(10), pages 1-9, October.
    2. Xiaohong Li & Patricia L Blount & Thomas L Vaughan & Brian J Reid, 2011. "Application of Biomarkers in Cancer Risk Management: Evaluation from Stochastic Clonal Evolutionary and Dynamic System Optimization Points of View," PLOS Computational Biology, Public Library of Science, vol. 7(2), pages 1-7, February.
    3. Kong Ao & Azencott Robert, 2017. "Binary Markov Random Fields and interpretable mass spectra discrimination," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 16(1), pages 13-30, March.
    4. Yan Li & Bing Wang & Wentao Yang & Fahan Ma & Jianling Zou & Kai Li & Subei Tan & Jinwen Feng & Yunzhi Wang & Zhaoyu Qin & Zhiyu Chen & Chen Ding, 2024. "Longitudinal plasma proteome profiling reveals the diversity of biomarkers for diagnosis and cetuximab therapy response of colorectal cancer," Nature Communications, Nature, vol. 15(1), pages 1-23, December.
    5. Anders Mälarstig & Felix Grassmann & Leo Dahl & Marios Dimitriou & Dianna McLeod & Marike Gabrielson & Karl Smith-Byrne & Cecilia E. Thomas & Tzu-Hsuan Huang & Simon K. G. Forsberg & Per Eriksson & Mi, 2023. "Evaluation of circulating plasma proteins in breast cancer using Mendelian randomisation," Nature Communications, Nature, vol. 14(1), pages 1-9, December.

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