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Correlation Analysis of Prognostic Gene Expression, Tumor Microenvironment, and Tumor-Infiltrating Immune Cells in Ovarian Cancer
OBJECTIVE: Tumor microenvironment (TME) research can provide a crucial direction for the innovation and continuous improvement of novel biologic therapies for cancer. This study examined the relationship between the TME, expression profiles of the tumor-infiltrating immune cell, and prognostic gene...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10575750/ https://www.ncbi.nlm.nih.gov/pubmed/37841886 http://dx.doi.org/10.1155/2023/9672158 |
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author | Li, Qing Yang, Zongjing Ling, Xingqing Ye, Junming Wu, Jiaying Wang, Yu Yao, Chun Zheng, Jinghui |
author_facet | Li, Qing Yang, Zongjing Ling, Xingqing Ye, Junming Wu, Jiaying Wang, Yu Yao, Chun Zheng, Jinghui |
author_sort | Li, Qing |
collection | PubMed |
description | OBJECTIVE: Tumor microenvironment (TME) research can provide a crucial direction for the innovation and continuous improvement of novel biologic therapies for cancer. This study examined the relationship between the TME, expression profiles of the tumor-infiltrating immune cell, and prognostic gene expression in ovarian cancer (OC). MATERIALS AND METHODS: Screening of CD3E, CD3G, CD2, CD3D, CCL19, and IL2RG was performed using the bioinformatics methods. RESULTS: All six genes were found to participate in immune-related molecular mechanisms and could regulate the expression of tumor-infiltrating cells. A Kaplan–Meier survival analysis results demonstrated a strong association between overall survival and all gene expressions in patients with OC. CIBERSORT analysis results showed that the expression level of all genes was positively correlated with γδ T cell proportions. CONCLUSION: Therefore, in the OC microenvironment, CD3E, CD3G, CD2, CD3D, CCL19, and IL2RG can be potential immunotherapy targets and prognostic markers. |
format | Online Article Text |
id | pubmed-10575750 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-105757502023-10-14 Correlation Analysis of Prognostic Gene Expression, Tumor Microenvironment, and Tumor-Infiltrating Immune Cells in Ovarian Cancer Li, Qing Yang, Zongjing Ling, Xingqing Ye, Junming Wu, Jiaying Wang, Yu Yao, Chun Zheng, Jinghui Dis Markers Research Article OBJECTIVE: Tumor microenvironment (TME) research can provide a crucial direction for the innovation and continuous improvement of novel biologic therapies for cancer. This study examined the relationship between the TME, expression profiles of the tumor-infiltrating immune cell, and prognostic gene expression in ovarian cancer (OC). MATERIALS AND METHODS: Screening of CD3E, CD3G, CD2, CD3D, CCL19, and IL2RG was performed using the bioinformatics methods. RESULTS: All six genes were found to participate in immune-related molecular mechanisms and could regulate the expression of tumor-infiltrating cells. A Kaplan–Meier survival analysis results demonstrated a strong association between overall survival and all gene expressions in patients with OC. CIBERSORT analysis results showed that the expression level of all genes was positively correlated with γδ T cell proportions. CONCLUSION: Therefore, in the OC microenvironment, CD3E, CD3G, CD2, CD3D, CCL19, and IL2RG can be potential immunotherapy targets and prognostic markers. Hindawi 2023-10-06 /pmc/articles/PMC10575750/ /pubmed/37841886 http://dx.doi.org/10.1155/2023/9672158 Text en Copyright © 2023 Qing Li et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Li, Qing Yang, Zongjing Ling, Xingqing Ye, Junming Wu, Jiaying Wang, Yu Yao, Chun Zheng, Jinghui Correlation Analysis of Prognostic Gene Expression, Tumor Microenvironment, and Tumor-Infiltrating Immune Cells in Ovarian Cancer |
title | Correlation Analysis of Prognostic Gene Expression, Tumor Microenvironment, and Tumor-Infiltrating Immune Cells in Ovarian Cancer |
title_full | Correlation Analysis of Prognostic Gene Expression, Tumor Microenvironment, and Tumor-Infiltrating Immune Cells in Ovarian Cancer |
title_fullStr | Correlation Analysis of Prognostic Gene Expression, Tumor Microenvironment, and Tumor-Infiltrating Immune Cells in Ovarian Cancer |
title_full_unstemmed | Correlation Analysis of Prognostic Gene Expression, Tumor Microenvironment, and Tumor-Infiltrating Immune Cells in Ovarian Cancer |
title_short | Correlation Analysis of Prognostic Gene Expression, Tumor Microenvironment, and Tumor-Infiltrating Immune Cells in Ovarian Cancer |
title_sort | correlation analysis of prognostic gene expression, tumor microenvironment, and tumor-infiltrating immune cells in ovarian cancer |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10575750/ https://www.ncbi.nlm.nih.gov/pubmed/37841886 http://dx.doi.org/10.1155/2023/9672158 |
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