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pmid:37193249
GBP5 Identifies Immuno-Hot Tumors and Predicts the Therapeutic Response to Immunotherapy in NSCLC.
Honghong Fan · Yuxin Shi · Huiyu Wang · Yuting Li · Jie Mei · Junying Xu · Chaoying Liu
International journal of general medicine · 2023 doi:10.2147/IJGM.S408900
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Experiment
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Analysis
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Complete file
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It is crucial to screen the beneficiaries of immunotherapy through biomarkers accurately.\nMethods: 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.\nResults: 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.\nConclusion: 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.", "claims": [{"id": "claim-method", "statement": "Survival analysis was performed by Log rank test.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37193249", "locator": "sections[9] \"Statistical Analysis\" paragraph 2", "quote": "Survival analysis was performed by Log rank test."}], "state": "complete"}, {"id": "claim-data-access", "statement": "All data supporting the results of this study are shown in this published article and Supplementary Documents. 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