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Integrative analysis of expression, prognostic significance and immune infiltration of RFC family genes in human sarcoma
Objective: To reveal the expression and prognostic value of replication factor C family genes (RFCs) in patients with sarcoma. Results: The results showed that the mRNA expression levels of RFC2, RFC3, RFC4, and RFC5 were increased in sarcoma tissues. In addition, Cancer Cell Line Encyclopedia (CCLE...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9085243/ https://www.ncbi.nlm.nih.gov/pubmed/35483337 http://dx.doi.org/10.18632/aging.204039 |
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author | Wu, Gen Zhou, Jian Zhu, Xi Tang, Xianzhe Liu, Jie Zhou, Qiong Chen, Ziyuan Liu, Tang Wang, Wanchun Xiao, Xungang Wu, Tong |
author_facet | Wu, Gen Zhou, Jian Zhu, Xi Tang, Xianzhe Liu, Jie Zhou, Qiong Chen, Ziyuan Liu, Tang Wang, Wanchun Xiao, Xungang Wu, Tong |
author_sort | Wu, Gen |
collection | PubMed |
description | Objective: To reveal the expression and prognostic value of replication factor C family genes (RFCs) in patients with sarcoma. Results: The results showed that the mRNA expression levels of RFC2, RFC3, RFC4, and RFC5 were increased in sarcoma tissues. In addition, Cancer Cell Line Encyclopedia (CCLE) dataset analysis indicated that RFC1, RFC2, RFC3, RFC4, and RFC5 were elevated expressed in sarcoma cell lines. Moreover, Gene Expression Profiling Interactive Analysis (GEPIA) and Kaplan-Meier Plotter showed that highly expressed RFC2-5 were associated with poor overall survival (OS) or relapse-free survival (RFS) in sarcoma patients. The results of the Tumor Immune Estimation Resource (TIMER) database indicated that the expression of RFCs was negatively correlated with the infiltration of CD4+ T cells and macrophages. Conclusions: There were significant differences in the expression of RFCs between normal tissue and sarcoma tissue, and RFC2, RFC3, RFC4, and RFC5 might be promising prognostic biomarkers for sarcoma. Methods: The expression of RFCs was analyzed using the ONCOMINE dataset and GEPIA dataset. CCLE dataset was used to assess the expression of RFCs in the cancer cell line. The prognostic value of RFCs was evaluated by GEPIA and Kaplan-Meier analysis. Furthermore, the association between RFCs and their co-expressed genes were explored via ONCOMINE and GEPIA datasets. We used the TIMER dataset to analyze the immune cell infiltration of RFCs in sarcoma. |
format | Online Article Text |
id | pubmed-9085243 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Impact Journals |
record_format | MEDLINE/PubMed |
spelling | pubmed-90852432022-05-10 Integrative analysis of expression, prognostic significance and immune infiltration of RFC family genes in human sarcoma Wu, Gen Zhou, Jian Zhu, Xi Tang, Xianzhe Liu, Jie Zhou, Qiong Chen, Ziyuan Liu, Tang Wang, Wanchun Xiao, Xungang Wu, Tong Aging (Albany NY) Research Paper Objective: To reveal the expression and prognostic value of replication factor C family genes (RFCs) in patients with sarcoma. Results: The results showed that the mRNA expression levels of RFC2, RFC3, RFC4, and RFC5 were increased in sarcoma tissues. In addition, Cancer Cell Line Encyclopedia (CCLE) dataset analysis indicated that RFC1, RFC2, RFC3, RFC4, and RFC5 were elevated expressed in sarcoma cell lines. Moreover, Gene Expression Profiling Interactive Analysis (GEPIA) and Kaplan-Meier Plotter showed that highly expressed RFC2-5 were associated with poor overall survival (OS) or relapse-free survival (RFS) in sarcoma patients. The results of the Tumor Immune Estimation Resource (TIMER) database indicated that the expression of RFCs was negatively correlated with the infiltration of CD4+ T cells and macrophages. Conclusions: There were significant differences in the expression of RFCs between normal tissue and sarcoma tissue, and RFC2, RFC3, RFC4, and RFC5 might be promising prognostic biomarkers for sarcoma. Methods: The expression of RFCs was analyzed using the ONCOMINE dataset and GEPIA dataset. CCLE dataset was used to assess the expression of RFCs in the cancer cell line. The prognostic value of RFCs was evaluated by GEPIA and Kaplan-Meier analysis. Furthermore, the association between RFCs and their co-expressed genes were explored via ONCOMINE and GEPIA datasets. We used the TIMER dataset to analyze the immune cell infiltration of RFCs in sarcoma. Impact Journals 2022-04-29 /pmc/articles/PMC9085243/ /pubmed/35483337 http://dx.doi.org/10.18632/aging.204039 Text en Copyright: © 2022 Wu et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Wu, Gen Zhou, Jian Zhu, Xi Tang, Xianzhe Liu, Jie Zhou, Qiong Chen, Ziyuan Liu, Tang Wang, Wanchun Xiao, Xungang Wu, Tong Integrative analysis of expression, prognostic significance and immune infiltration of RFC family genes in human sarcoma |
title | Integrative analysis of expression, prognostic significance and immune infiltration of RFC family genes in human sarcoma |
title_full | Integrative analysis of expression, prognostic significance and immune infiltration of RFC family genes in human sarcoma |
title_fullStr | Integrative analysis of expression, prognostic significance and immune infiltration of RFC family genes in human sarcoma |
title_full_unstemmed | Integrative analysis of expression, prognostic significance and immune infiltration of RFC family genes in human sarcoma |
title_short | Integrative analysis of expression, prognostic significance and immune infiltration of RFC family genes in human sarcoma |
title_sort | integrative analysis of expression, prognostic significance and immune infiltration of rfc family genes in human sarcoma |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9085243/ https://www.ncbi.nlm.nih.gov/pubmed/35483337 http://dx.doi.org/10.18632/aging.204039 |
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