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Review Open Access

Mechanistic insight of predictive biomarkers for antitumor PD‑1/PD‑L1 blockade: A paradigm shift towards immunome evaluation (Review)

  • Authors:
    • Wenjie You
    • Bin Shang
    • Jian Sun
    • Xueqing Liu
    • Lili Su
    • Shujuan Jiang
  • View Affiliations / Copyright

    Affiliations: Department of Respiratory and Critical Care Medicine, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong 250021, P.R. China, Department of Thoracic Surgery, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong 250021, P.R. China, Department of Respiratory and Critical Care Medicine, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, P.R. China
    Copyright: © You et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Pages: 424-437
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    Published online on: June 11, 2020
       https://doi.org/10.3892/or.2020.7643
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Abstract

Checkpoint inhibitor‑based immunotherapy has exhibited unprecedented success in the treatment of advanced‑stage cancer in recent years. Several therapeutic antibodies targeting programmed death‑1 (PD‑1) or its ligand (PD‑L1) have received regulatory approvals for the treatment of multiple malignancies, including melanoma, non‑small cell lung cancer, kidney cancer and Hodgkin's lymphoma. However, a substantial proportion of patients still do not benefit from these agents, let alone the risk of immune‑associated toxicities and financial burden. Therefore, it is imperative to identify valid predictive biomarkers which can help optimize the selection of patients. In this review, a mechanism‑based interpretation of tumor PD‑L1 expression and other candidate biomarkers of response to antitumor PD‑1/PD‑L1 blockade was provided, particularly for the tumor microenvironment‑derived ‘immunomes’, and the challenges faced in their clinical use was addressed. Directions for future biomarker development and the potential of combined biomarker strategies were also proposed.
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Spandidos Publications style
You W, Shang B, Sun J, Liu X, Su L and Jiang S: Mechanistic insight of predictive biomarkers for antitumor PD‑1/PD‑L1 blockade: A paradigm shift towards immunome evaluation (Review). Oncol Rep 44: 424-437, 2020.
APA
You, W., Shang, B., Sun, J., Liu, X., Su, L., & Jiang, S. (2020). Mechanistic insight of predictive biomarkers for antitumor PD‑1/PD‑L1 blockade: A paradigm shift towards immunome evaluation (Review). Oncology Reports, 44, 424-437. https://doi.org/10.3892/or.2020.7643
MLA
You, W., Shang, B., Sun, J., Liu, X., Su, L., Jiang, S."Mechanistic insight of predictive biomarkers for antitumor PD‑1/PD‑L1 blockade: A paradigm shift towards immunome evaluation (Review)". Oncology Reports 44.2 (2020): 424-437.
Chicago
You, W., Shang, B., Sun, J., Liu, X., Su, L., Jiang, S."Mechanistic insight of predictive biomarkers for antitumor PD‑1/PD‑L1 blockade: A paradigm shift towards immunome evaluation (Review)". Oncology Reports 44, no. 2 (2020): 424-437. https://doi.org/10.3892/or.2020.7643
Copy and paste a formatted citation
x
Spandidos Publications style
You W, Shang B, Sun J, Liu X, Su L and Jiang S: Mechanistic insight of predictive biomarkers for antitumor PD‑1/PD‑L1 blockade: A paradigm shift towards immunome evaluation (Review). Oncol Rep 44: 424-437, 2020.
APA
You, W., Shang, B., Sun, J., Liu, X., Su, L., & Jiang, S. (2020). Mechanistic insight of predictive biomarkers for antitumor PD‑1/PD‑L1 blockade: A paradigm shift towards immunome evaluation (Review). Oncology Reports, 44, 424-437. https://doi.org/10.3892/or.2020.7643
MLA
You, W., Shang, B., Sun, J., Liu, X., Su, L., Jiang, S."Mechanistic insight of predictive biomarkers for antitumor PD‑1/PD‑L1 blockade: A paradigm shift towards immunome evaluation (Review)". Oncology Reports 44.2 (2020): 424-437.
Chicago
You, W., Shang, B., Sun, J., Liu, X., Su, L., Jiang, S."Mechanistic insight of predictive biomarkers for antitumor PD‑1/PD‑L1 blockade: A paradigm shift towards immunome evaluation (Review)". Oncology Reports 44, no. 2 (2020): 424-437. https://doi.org/10.3892/or.2020.7643
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