{"title":"GABRP is a Promising Prognostic Biomarker and Associated with Immune Cell Infiltration in Lung Squamous Cell Carcinoma.","authors":"Jiding Fu, Jie Lin, Xiaohui Zeng, Guanger Li, Yier Wei, Lewu Xian","doi":"10.2147/PGPM.S403868","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>GABRP has been reported to play an oncogenic role in various carcinomas. However, no report has been found for its involvement in lung squamous cell carcinoma (LUSC) development yet. We aimed to explore the expression and prognostic roles of GABRP and assessment of its association with tumor microenvironment in LUSC.</p><p><strong>Methods: </strong>The GABRP expression in LUSC was analyzed using TCGA, GEO, and HPA databases. The Kaplan-Meier, Cox regression analysis, and receiver operating characteristic (ROC) curve were applied to assess the prognostic and diagnostic values of GABRP in LUSC. We also performed ESTIMATE and ssGSEA to explore the association between GABRP expression and immune cell infiltrations. GABRP was highly expressed in LUSC patients, and up-regulation of GABRP was associated with shorter overall survival (OS). Cox regression analysis indicated that GABRP was an independent prognostic factor for LUSC patients. KEGG analysis revealed that GABRP may play an important role in starch and sucrose metabolism and nicotine addiction. Specifically, GABRP expression showed significant positive correlations with the infiltration levels of most types of immune cells, as well as immune checkpoint molecules expression.</p><p><strong>Conclusion: </strong>Up-regulation of GABRP in LUSC could be severed as a prognostic marker and a potential target for immunotherapy in LUSC.</p>","PeriodicalId":56015,"journal":{"name":"Pharmacogenomics & Personalized Medicine","volume":null,"pages":null},"PeriodicalIF":1.8000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/15/3a/pgpm-16-357.PMC10115206.pdf","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pharmacogenomics & Personalized Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2147/PGPM.S403868","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
引用次数: 1
Abstract
Background: GABRP has been reported to play an oncogenic role in various carcinomas. However, no report has been found for its involvement in lung squamous cell carcinoma (LUSC) development yet. We aimed to explore the expression and prognostic roles of GABRP and assessment of its association with tumor microenvironment in LUSC.
Methods: The GABRP expression in LUSC was analyzed using TCGA, GEO, and HPA databases. The Kaplan-Meier, Cox regression analysis, and receiver operating characteristic (ROC) curve were applied to assess the prognostic and diagnostic values of GABRP in LUSC. We also performed ESTIMATE and ssGSEA to explore the association between GABRP expression and immune cell infiltrations. GABRP was highly expressed in LUSC patients, and up-regulation of GABRP was associated with shorter overall survival (OS). Cox regression analysis indicated that GABRP was an independent prognostic factor for LUSC patients. KEGG analysis revealed that GABRP may play an important role in starch and sucrose metabolism and nicotine addiction. Specifically, GABRP expression showed significant positive correlations with the infiltration levels of most types of immune cells, as well as immune checkpoint molecules expression.
Conclusion: Up-regulation of GABRP in LUSC could be severed as a prognostic marker and a potential target for immunotherapy in LUSC.
期刊介绍:
Pharmacogenomics and Personalized Medicine is an international, peer-reviewed, open-access journal characterizing the influence of genotype on pharmacology leading to the development of personalized treatment programs and individualized drug selection for improved safety, efficacy and sustainability.
In particular, emphasis will be given to:
Genomic and proteomic profiling
Genetics and drug metabolism
Targeted drug identification and discovery
Optimizing drug selection & dosage based on patient''s genetic profile
Drug related morbidity & mortality intervention
Advanced disease screening and targeted therapeutic intervention
Genetic based vaccine development
Patient satisfaction and preference
Health economic evaluations
Practical and organizational issues in the development and implementation of personalized medicine programs.