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Review Open Access

Emerging non‑invasive detection methodologies for lung cancer (Review)

  • Authors:
    • Zhen Li
    • Jinian Shu
    • Bo Yang
    • Zuojian Zhang
    • Jingyun Huang
    • Yang Chen
  • View Affiliations / Copyright

    Affiliations: Beijing Advanced Sciences and Innovation Center, Chinese Academy of Sciences, Beijing 101407, P.R. China, National Engineering Laboratory for VOCs Pollution Control Material and Technology, University of Chinese Academy of Sciences, Beijing 101408, P.R. China
    Copyright: © Li et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Pages: 3389-3399
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    Published online on: March 12, 2020
       https://doi.org/10.3892/ol.2020.11460
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Abstract

The potential for non-invasive lung cancer (LC) diagnosis based on molecular, cellular and volatile biomarkers has been attracting increasing attention, with the development of advanced techniques and methodologies. It is standard practice to tailor the treatments of LC for certain specific genetic alterations, including the epidermal growth factor receptor, anaplastic lymphoma kinase and BRAF genes. Despite these advances, little is known about the internal mechanisms of different types of biomarkers and the involvement of their related biochemical pathways during the development of LC. The development of faster and more effective techniques is essential for the identification of different biomarkers. The present review summarizes some of the latest methods used for detecting molecular, cellular and volatile biomarkers in LC and their potential use in clinical diagnosis and targeted therapy.
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Copy and paste a formatted citation
Spandidos Publications style
Li Z, Shu J, Yang B, Zhang Z, Huang J and Chen Y: Emerging non‑invasive detection methodologies for lung cancer (Review). Oncol Lett 19: 3389-3399, 2020.
APA
Li, Z., Shu, J., Yang, B., Zhang, Z., Huang, J., & Chen, Y. (2020). Emerging non‑invasive detection methodologies for lung cancer (Review). Oncology Letters, 19, 3389-3399. https://doi.org/10.3892/ol.2020.11460
MLA
Li, Z., Shu, J., Yang, B., Zhang, Z., Huang, J., Chen, Y."Emerging non‑invasive detection methodologies for lung cancer (Review)". Oncology Letters 19.5 (2020): 3389-3399.
Chicago
Li, Z., Shu, J., Yang, B., Zhang, Z., Huang, J., Chen, Y."Emerging non‑invasive detection methodologies for lung cancer (Review)". Oncology Letters 19, no. 5 (2020): 3389-3399. https://doi.org/10.3892/ol.2020.11460
Copy and paste a formatted citation
x
Spandidos Publications style
Li Z, Shu J, Yang B, Zhang Z, Huang J and Chen Y: Emerging non‑invasive detection methodologies for lung cancer (Review). Oncol Lett 19: 3389-3399, 2020.
APA
Li, Z., Shu, J., Yang, B., Zhang, Z., Huang, J., & Chen, Y. (2020). Emerging non‑invasive detection methodologies for lung cancer (Review). Oncology Letters, 19, 3389-3399. https://doi.org/10.3892/ol.2020.11460
MLA
Li, Z., Shu, J., Yang, B., Zhang, Z., Huang, J., Chen, Y."Emerging non‑invasive detection methodologies for lung cancer (Review)". Oncology Letters 19.5 (2020): 3389-3399.
Chicago
Li, Z., Shu, J., Yang, B., Zhang, Z., Huang, J., Chen, Y."Emerging non‑invasive detection methodologies for lung cancer (Review)". Oncology Letters 19, no. 5 (2020): 3389-3399. https://doi.org/10.3892/ol.2020.11460
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