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A comprehensive bioinformatics analysis of FOXP3 in nonsmall cell lung cancer

Fork head box p3 (FOXP3), the specific transcription factors of Tregs, not only in Tregs, but also expressed in cancer cells of certain malignant tumors. The histological positioning of FOXP3 in nonsmall cell lung cancer (NSCLC) and its biological significance are still unclear. This study aims to c...

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Autores principales: Zhu, Jianfei, Li, Zhenzhen, Chen, Jie, Li, Wensheng, Wang, Hongtao, Jiang, Tao, Ma, Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9771226/
https://www.ncbi.nlm.nih.gov/pubmed/36550816
http://dx.doi.org/10.1097/MD.0000000000032102
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author Zhu, Jianfei
Li, Zhenzhen
Chen, Jie
Li, Wensheng
Wang, Hongtao
Jiang, Tao
Ma, Yu
author_facet Zhu, Jianfei
Li, Zhenzhen
Chen, Jie
Li, Wensheng
Wang, Hongtao
Jiang, Tao
Ma, Yu
author_sort Zhu, Jianfei
collection PubMed
description Fork head box p3 (FOXP3), the specific transcription factors of Tregs, not only in Tregs, but also expressed in cancer cells of certain malignant tumors. The histological positioning of FOXP3 in nonsmall cell lung cancer (NSCLC) and its biological significance are still unclear. This study aims to clarify the biological function of FOXP3 in NSCLC through bioinformatics analysis. Tumor immune estimation resource database was used to analyze the mRNA expression of FOXP3 in pan cancer, and to analyze the correlation between FOXP3 expression and tumor microenvironment cell infiltration. Overall survival and disease-free survival analyses were performed using a Kaplan–Meier plotter. Immunohistochemistry staining of FOXP3 was performed using human protein atalas (HPA) database, and immunofluorescence (IF) staining was used to verify gene expression and identify cell types. Protein–protein interaction (PPI) networks were drawn using STRING and visualized by Cytoscape. The functional and pathway enrichment analysis of FOXP3 used the DAVID database. In NSCLC, whether it is lung squamous cell carcinoma (P < .001) or lung adenocarcinoma (P < .001), FOXP3 is highly expressed in cancer tissue compared with normal tissue. Immunohistochemistry results showed that FOXP3 was mainly expressed in Tregs, but not in lung cancer tissues. IF staining showed that FOXP3 and CD3 (a marker of T cells) were co-expressed in immune cells. Moreover, survival analysis showed that high FOXP3 expression could be used as a predictor of poor overall survival (HR: 1.25, P = .00065) and disease-free survival (HR: 1.88, P = 1.1E-10) in patients with NSCLC. Next, we identified an important module containing 11 genes in the PPI network, including JUN, NFATC, STAT3, IRF4, IL2, IFGN, CTLA4, TNFRSF18, IL2A, KAT5, and FOXP3. KEGG signaling pathway was enriched in T cell receptor signaling pathway, Jak-STAT signaling pathway, cytokine–cytokine receptor interaction. Finally, we observed that FOXP3 expression correlated with infiltration of CD8 + T cells (R = 0.276, P = 5.90E−10), CD4 + T cells (R = 0.643, P = 6.81E−58), neutrophils (R = 0.525, P = 1.57E−35), and dendritic cells (R = 0.608, P = 1.35E−50) in lung adenocarcinoma, the same results were observed in lung squamous cell carcinoma. The infiltration of FOXP3-positive Tregs might promote the malignant progression of NSCLC, and targeted intervention of Tregs may be a potential treatment option for patients with NSCLC.
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spelling pubmed-97712262022-12-22 A comprehensive bioinformatics analysis of FOXP3 in nonsmall cell lung cancer Zhu, Jianfei Li, Zhenzhen Chen, Jie Li, Wensheng Wang, Hongtao Jiang, Tao Ma, Yu Medicine (Baltimore) 5700 Fork head box p3 (FOXP3), the specific transcription factors of Tregs, not only in Tregs, but also expressed in cancer cells of certain malignant tumors. The histological positioning of FOXP3 in nonsmall cell lung cancer (NSCLC) and its biological significance are still unclear. This study aims to clarify the biological function of FOXP3 in NSCLC through bioinformatics analysis. Tumor immune estimation resource database was used to analyze the mRNA expression of FOXP3 in pan cancer, and to analyze the correlation between FOXP3 expression and tumor microenvironment cell infiltration. Overall survival and disease-free survival analyses were performed using a Kaplan–Meier plotter. Immunohistochemistry staining of FOXP3 was performed using human protein atalas (HPA) database, and immunofluorescence (IF) staining was used to verify gene expression and identify cell types. Protein–protein interaction (PPI) networks were drawn using STRING and visualized by Cytoscape. The functional and pathway enrichment analysis of FOXP3 used the DAVID database. In NSCLC, whether it is lung squamous cell carcinoma (P < .001) or lung adenocarcinoma (P < .001), FOXP3 is highly expressed in cancer tissue compared with normal tissue. Immunohistochemistry results showed that FOXP3 was mainly expressed in Tregs, but not in lung cancer tissues. IF staining showed that FOXP3 and CD3 (a marker of T cells) were co-expressed in immune cells. Moreover, survival analysis showed that high FOXP3 expression could be used as a predictor of poor overall survival (HR: 1.25, P = .00065) and disease-free survival (HR: 1.88, P = 1.1E-10) in patients with NSCLC. Next, we identified an important module containing 11 genes in the PPI network, including JUN, NFATC, STAT3, IRF4, IL2, IFGN, CTLA4, TNFRSF18, IL2A, KAT5, and FOXP3. KEGG signaling pathway was enriched in T cell receptor signaling pathway, Jak-STAT signaling pathway, cytokine–cytokine receptor interaction. Finally, we observed that FOXP3 expression correlated with infiltration of CD8 + T cells (R = 0.276, P = 5.90E−10), CD4 + T cells (R = 0.643, P = 6.81E−58), neutrophils (R = 0.525, P = 1.57E−35), and dendritic cells (R = 0.608, P = 1.35E−50) in lung adenocarcinoma, the same results were observed in lung squamous cell carcinoma. The infiltration of FOXP3-positive Tregs might promote the malignant progression of NSCLC, and targeted intervention of Tregs may be a potential treatment option for patients with NSCLC. Lippincott Williams & Wilkins 2022-12-16 /pmc/articles/PMC9771226/ /pubmed/36550816 http://dx.doi.org/10.1097/MD.0000000000032102 Text en Copyright © 2022 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY) (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle 5700
Zhu, Jianfei
Li, Zhenzhen
Chen, Jie
Li, Wensheng
Wang, Hongtao
Jiang, Tao
Ma, Yu
A comprehensive bioinformatics analysis of FOXP3 in nonsmall cell lung cancer
title A comprehensive bioinformatics analysis of FOXP3 in nonsmall cell lung cancer
title_full A comprehensive bioinformatics analysis of FOXP3 in nonsmall cell lung cancer
title_fullStr A comprehensive bioinformatics analysis of FOXP3 in nonsmall cell lung cancer
title_full_unstemmed A comprehensive bioinformatics analysis of FOXP3 in nonsmall cell lung cancer
title_short A comprehensive bioinformatics analysis of FOXP3 in nonsmall cell lung cancer
title_sort comprehensive bioinformatics analysis of foxp3 in nonsmall cell lung cancer
topic 5700
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9771226/
https://www.ncbi.nlm.nih.gov/pubmed/36550816
http://dx.doi.org/10.1097/MD.0000000000032102
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