Open Access

Immune‑related genes and gene sets for predicting the response to anti‑programmed death 1 therapy in patients with primary or metastatic non‑small cell lung cancer

  • Authors:
    • Bolin Chen
    • Min Yang
    • Kang Li
    • Jia Li
    • Li Xu
    • Fang Xu
    • Yan Xu
    • Dandan Ren
    • Jiao Zhang
    • Liyu Liu
  • View Affiliations

  • Published online on: May 19, 2021     https://doi.org/10.3892/ol.2021.12801
  • Article Number: 540
  • Copyright: © Chen et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

Although antibodies targeting the immune checkpoint protein programmed death‑1 (PD‑1) exert therapeutic effects in patients with primary or metastatic non‑small cell lung cancer (NSCLC), the majority of patients exhibit partial or complete resistance to anti‑PD1 treatment. Thus, the aim of the present study was to identify reliable biomarkers for predicting the response to anti‑PD‑1 therapy. The present study analyzed tumor specimens isolated from 24 patients (13 with primary and 11 with metastatic NSCLC) prior to treatment with approved PD1‑targeting antibodies. The expression profile of 395 immune‑related genes was examined using RNA immune‑oncology panel sequencing. The results demonstrated that six immune‑related differently expressed genes (DEGs), including HLA‑F‑AS1, NCF1, RORC, DMBT1, KLRF1 and IL‑18, and five DEGs, including HLA‑A, HLA‑DPA1, TNFSF18, IFI6 and PTK7, may be used as single biomarkers for predicting the efficacy of anti‑PD‑1 treatment in patients with primary and with metastatic NSCLC, respectively. In addition, two DEG sets comprising either six (HLA‑F‑AS1, NCF1, RORC, DMBT1, KLRF and IL‑18) or two (HLA‑A and TNFSF18) DEGs as potential combination biomarkers for predicting the efficacy of anti‑PD‑1 therapy in patients with NSCLC. Patients with a calculated expression level of the DEG sets >6.501 (primary NSCLC) or >6.741 (metastatic NSCLC) may benefit from the anti‑PD‑1 therapy. Overall, these findings provided a basis for the identification of additional biomarkers for predicting the response to anti‑PD‑1 treatment.
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July-2021
Volume 22 Issue 1

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Online ISSN:1792-1082

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Spandidos Publications style
Chen B, Yang M, Li K, Li J, Xu L, Xu F, Xu Y, Ren D, Zhang J, Liu L, Liu L, et al: Immune‑related genes and gene sets for predicting the response to anti‑programmed death 1 therapy in patients with primary or metastatic non‑small cell lung cancer. Oncol Lett 22: 540, 2021
APA
Chen, B., Yang, M., Li, K., Li, J., Xu, L., Xu, F. ... Liu, L. (2021). Immune‑related genes and gene sets for predicting the response to anti‑programmed death 1 therapy in patients with primary or metastatic non‑small cell lung cancer. Oncology Letters, 22, 540. https://doi.org/10.3892/ol.2021.12801
MLA
Chen, B., Yang, M., Li, K., Li, J., Xu, L., Xu, F., Xu, Y., Ren, D., Zhang, J., Liu, L."Immune‑related genes and gene sets for predicting the response to anti‑programmed death 1 therapy in patients with primary or metastatic non‑small cell lung cancer". Oncology Letters 22.1 (2021): 540.
Chicago
Chen, B., Yang, M., Li, K., Li, J., Xu, L., Xu, F., Xu, Y., Ren, D., Zhang, J., Liu, L."Immune‑related genes and gene sets for predicting the response to anti‑programmed death 1 therapy in patients with primary or metastatic non‑small cell lung cancer". Oncology Letters 22, no. 1 (2021): 540. https://doi.org/10.3892/ol.2021.12801