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CSF1R and HCST: Novel Candidate Biomarkers Predicting the Response to Immunotherapy in Non-Small Cell Lung Cancer

OBJECTIVE: Precision immunotherapy in non-small cell lung cancer (NSCLC) have been the focus of tumor immunity research. The aim of this study is to identify novel candidate biomarkers predicting the response to immunotherapy in NSCLC. METHODS: GSE126044 was obtained from Gene Expression Omnibus (GE...

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Detalles Bibliográficos
Autores principales: Qi, Xiaoguang, Qi, Chunyan, Wu, Tao, Hu, Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7658512/
https://www.ncbi.nlm.nih.gov/pubmed/33153411
http://dx.doi.org/10.1177/1533033820970663
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author Qi, Xiaoguang
Qi, Chunyan
Wu, Tao
Hu, Yi
author_facet Qi, Xiaoguang
Qi, Chunyan
Wu, Tao
Hu, Yi
author_sort Qi, Xiaoguang
collection PubMed
description OBJECTIVE: Precision immunotherapy in non-small cell lung cancer (NSCLC) have been the focus of tumor immunity research. The aim of this study is to identify novel candidate biomarkers predicting the response to immunotherapy in NSCLC. METHODS: GSE126044 was obtained from Gene Expression Omnibus (GEO). According to the response to anti-PD-1 antibody, 2 groups were divided: response group and non-response group. Differentially expressed genes (DEGs) were screened using R. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed. ROC curves and possible pathways of the seed genes were further analyzed. RESULTS: In total, 588 DEGs (487 upregulated DEGs and 101 downregulated) were identified. GO and KEGG analyses showed that upregulated DEGs were mainly enriched in immune response and cell adhesion pathways, while VEGF signaling pathway and metabolic pathways were mainly enriched in downregulated DEGs. In addition, CSF1 R and HCST showed more powerful predictive ability than PDL1. More importantly, these candidate genes were not only positively correlated with the expression of PDL1 and the infiltration of CD8+ T cells in the immune microenvironment, but also might improve the prognosis in lung squamous cell carcinoma. CONCLUSIONS: CSF1 R and HCST might be novel predictive markers for immunotherapy in NSCLC.
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spelling pubmed-76585122020-11-20 CSF1R and HCST: Novel Candidate Biomarkers Predicting the Response to Immunotherapy in Non-Small Cell Lung Cancer Qi, Xiaoguang Qi, Chunyan Wu, Tao Hu, Yi Technol Cancer Res Treat Original Article OBJECTIVE: Precision immunotherapy in non-small cell lung cancer (NSCLC) have been the focus of tumor immunity research. The aim of this study is to identify novel candidate biomarkers predicting the response to immunotherapy in NSCLC. METHODS: GSE126044 was obtained from Gene Expression Omnibus (GEO). According to the response to anti-PD-1 antibody, 2 groups were divided: response group and non-response group. Differentially expressed genes (DEGs) were screened using R. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed. ROC curves and possible pathways of the seed genes were further analyzed. RESULTS: In total, 588 DEGs (487 upregulated DEGs and 101 downregulated) were identified. GO and KEGG analyses showed that upregulated DEGs were mainly enriched in immune response and cell adhesion pathways, while VEGF signaling pathway and metabolic pathways were mainly enriched in downregulated DEGs. In addition, CSF1 R and HCST showed more powerful predictive ability than PDL1. More importantly, these candidate genes were not only positively correlated with the expression of PDL1 and the infiltration of CD8+ T cells in the immune microenvironment, but also might improve the prognosis in lung squamous cell carcinoma. CONCLUSIONS: CSF1 R and HCST might be novel predictive markers for immunotherapy in NSCLC. SAGE Publications 2020-11-06 /pmc/articles/PMC7658512/ /pubmed/33153411 http://dx.doi.org/10.1177/1533033820970663 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Article
Qi, Xiaoguang
Qi, Chunyan
Wu, Tao
Hu, Yi
CSF1R and HCST: Novel Candidate Biomarkers Predicting the Response to Immunotherapy in Non-Small Cell Lung Cancer
title CSF1R and HCST: Novel Candidate Biomarkers Predicting the Response to Immunotherapy in Non-Small Cell Lung Cancer
title_full CSF1R and HCST: Novel Candidate Biomarkers Predicting the Response to Immunotherapy in Non-Small Cell Lung Cancer
title_fullStr CSF1R and HCST: Novel Candidate Biomarkers Predicting the Response to Immunotherapy in Non-Small Cell Lung Cancer
title_full_unstemmed CSF1R and HCST: Novel Candidate Biomarkers Predicting the Response to Immunotherapy in Non-Small Cell Lung Cancer
title_short CSF1R and HCST: Novel Candidate Biomarkers Predicting the Response to Immunotherapy in Non-Small Cell Lung Cancer
title_sort csf1r and hcst: novel candidate biomarkers predicting the response to immunotherapy in non-small cell lung cancer
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7658512/
https://www.ncbi.nlm.nih.gov/pubmed/33153411
http://dx.doi.org/10.1177/1533033820970663
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