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

  • Published online on: March 12, 2020     https://doi.org/10.3892/ol.2020.11460
  • Pages: 3389-3399
  • Copyright: © Li et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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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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Journal Cover

May 2020
Volume 19 Issue 5

Print ISSN: 1792-1074
Online ISSN:1792-1082

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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