International Journal of General Medicine (May 2023)

GBP5 Identifies Immuno-Hot Tumors and Predicts the Therapeutic Response to Immunotherapy in NSCLC

  • Fan H,
  • Shi Y,
  • Wang H,
  • Li Y,
  • Mei J,
  • Xu J,
  • Liu C

Journal volume & issue
Vol. Volume 16
pp. 1757 – 1769

Abstract

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Honghong Fan,* Yuxin Shi,* Huiyu Wang, Yuting Li, Jie Mei, Junying Xu, Chaoying Liu Department of Oncology, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi, Jiangsu, 214023, People’s Republic of China*These authors contributed equally to this workCorrespondence: Chaoying Liu; Junying Xu, Department of Oncology, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, No. 299 Qingyang Road, Wuxi, Jiangsu, 214023, People’s Republic of China, Tel/Fax +86-510-82700775, Email [email protected]; [email protected]: Immunotherapy drugs, immune checkpoint inhibitors (ICIs), have been approved for first- and second-line treatment of non-small cell lung cancer (NSCLC), but only a portion of patients respond to ICIs. It is crucial to screen the beneficiaries of immunotherapy through biomarkers accurately.Methods: Several datasets were used to explore the predictive value for immunotherapy and immune relevance of guanylate binding protein 5 (GBP5) in NSCLC, including the GSE126044 dataset, The Cancer Genome Atlas (TCGA) dataset, Clinical Proteomic Tumor Analysis Consortium (CPTAC) dataset, the Kaplan–Meier plotter dataset, the HLuA150CS02 cohort, and the HLugS120CS01 cohort.Results: GBP5 was upregulated in tumor tissues but associated with a good prognosis in NSCLC. Moreover, our findings demonstrated that GBP5 was strongly correlated with the expression of many immune-related genes, TIIC levels, and PD-L1 expression based on RNA-seq data onto online databases and validation of the NSCLC tissue microarray using IHC staining. Moreover, pan-cancer analysis has shown that GBP5 was a factor in identifying immuno-hot tumors, except for a few tumor types.Conclusion: In summary, our current research suggests that GBP5 expression is a potential biomarker for predicting the outcome of NSCLC patients treated with ICIs. More research with large-scale samples is needed to determine their value as biomarkers of ICIs benefit.Keywords: GBP5, biomarker, immunotherapy, NSCLC, bioinformatics

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