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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

Paper

complete

Experiment

complete

Data

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Analysis

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GBP5 Identifies Immuno-Hot Tumors and Predicts the Therapeutic Response to Immunotherapy in NSCLC.
doi
10.2147/IJGM.S408900
pmid
37193249
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[0]
Honghong Fan
[1]
Yuxin Shi
[2]
Huiyu Wang
[3]
Yuting Li
[4]
Jie Mei
[5]
Junying Xu
[6]
Chaoying Liu
journal
International journal of general medicine
year
2023
abstract
Background: 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.
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Survival analysis was performed by Log rank test.
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Patients with upregulated GBP5 expression had better overall survival (OS) (P=0.013, HR=0.81) and post-progression survival (PPS) (P=0.016, HR=0.59) than those with low expression, suggesting a better prognosis for NSCLC patients.
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sections[11] "Expression and Prognostic Value of GBP5 in NSCLC" paragraph 2
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We discovered that patients with upregulated GBP5 expression had better overall survival (OS) (P=0.013, HR=0.81) (Figure 1E) and post-progression survival (PPS) (P=0.016, HR=0.59) (Figure 1F) than those with low expression, suggesting a better prognosis for NSCLC patients.
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Patients with upregulated GBP5 expression had better overall survival (OS) (P=0.013, HR=0.81) and post-progression survival (PPS) (P=0.016, HR=0.59) than those with low expression, suggesting a better prognosis for NSCLC patients.
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Genome-wide identification of differentially methylated promoters and enhancers associated with response to anti-PD-1 therapy in non-small cell lung cancer
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, TIIC levels, and PD-L1 expression based on RNA-seq data onto online databases and validation of
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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. 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