Cargando…
Identification of RFC5 as a novel potential prognostic biomarker in lung cancer through bioinformatics analysis
Lung cancer is the leading cause of mortalities among all types of cancer. Therefore, the screening of biomarkers that are related with the progression of lung cancer is crucial for early diagnosis and efficient therapy of lung cancer. In the present study, bioinformatic analysis identified replicat...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6126192/ https://www.ncbi.nlm.nih.gov/pubmed/30214556 http://dx.doi.org/10.3892/ol.2018.9221 |
_version_ | 1783353293741752320 |
---|---|
author | Wang, Meng Xie, Tian Wu, Yingjie Yin, Qian Xie, Songping Yao, Qingyu Xiong, Jie Zhang, Qiuping |
author_facet | Wang, Meng Xie, Tian Wu, Yingjie Yin, Qian Xie, Songping Yao, Qingyu Xiong, Jie Zhang, Qiuping |
author_sort | Wang, Meng |
collection | PubMed |
description | Lung cancer is the leading cause of mortalities among all types of cancer. Therefore, the screening of biomarkers that are related with the progression of lung cancer is crucial for early diagnosis and efficient therapy of lung cancer. In the present study, bioinformatic analysis identified replication factor C 5 (RFC5) as a potential novel oncogene in lung cancer. RFC5 functions as a clamp loader and is involved in DNA replication and repair. Analysis of public databases and reverse transcription-quantitative polymerase chain reaction indicated that RFC5 was significantly increased in tumor tissues compared with adjacent normal tissues. A high RFC5 expression was observed to be associated with more aggressive malignant clinicopathological features, including higher T stage, more advanced regional lymph node metastasis and a higher probability of relapse. Notably, there were notable differences in overall survival (OS), first progression and post-progression survival between the high RFC5 expression group and low RFC5 expression group. Univariate and multivariate Cox regression analyses indicated that RFC5 was an independent risk factor that was associated with poorer OS and disease-free survival. According to GSEA, several gene sets that are associated with cell cycle and DNA damage were enriched in the RFC5 overexpression group, which indicated that RFC5 might promote the proliferation of lung cancer cells. Our finding indicated that RFC5 might be a novel prognostic biomarker of lung cancer, and it might be serve as a potential diagnosis and therapy target for lung cancer in the future. |
format | Online Article Text |
id | pubmed-6126192 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | D.A. Spandidos |
record_format | MEDLINE/PubMed |
spelling | pubmed-61261922018-09-13 Identification of RFC5 as a novel potential prognostic biomarker in lung cancer through bioinformatics analysis Wang, Meng Xie, Tian Wu, Yingjie Yin, Qian Xie, Songping Yao, Qingyu Xiong, Jie Zhang, Qiuping Oncol Lett Articles Lung cancer is the leading cause of mortalities among all types of cancer. Therefore, the screening of biomarkers that are related with the progression of lung cancer is crucial for early diagnosis and efficient therapy of lung cancer. In the present study, bioinformatic analysis identified replication factor C 5 (RFC5) as a potential novel oncogene in lung cancer. RFC5 functions as a clamp loader and is involved in DNA replication and repair. Analysis of public databases and reverse transcription-quantitative polymerase chain reaction indicated that RFC5 was significantly increased in tumor tissues compared with adjacent normal tissues. A high RFC5 expression was observed to be associated with more aggressive malignant clinicopathological features, including higher T stage, more advanced regional lymph node metastasis and a higher probability of relapse. Notably, there were notable differences in overall survival (OS), first progression and post-progression survival between the high RFC5 expression group and low RFC5 expression group. Univariate and multivariate Cox regression analyses indicated that RFC5 was an independent risk factor that was associated with poorer OS and disease-free survival. According to GSEA, several gene sets that are associated with cell cycle and DNA damage were enriched in the RFC5 overexpression group, which indicated that RFC5 might promote the proliferation of lung cancer cells. Our finding indicated that RFC5 might be a novel prognostic biomarker of lung cancer, and it might be serve as a potential diagnosis and therapy target for lung cancer in the future. D.A. Spandidos 2018-10 2018-07-26 /pmc/articles/PMC6126192/ /pubmed/30214556 http://dx.doi.org/10.3892/ol.2018.9221 Text en Copyright: © Wang et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. |
spellingShingle | Articles Wang, Meng Xie, Tian Wu, Yingjie Yin, Qian Xie, Songping Yao, Qingyu Xiong, Jie Zhang, Qiuping Identification of RFC5 as a novel potential prognostic biomarker in lung cancer through bioinformatics analysis |
title | Identification of RFC5 as a novel potential prognostic biomarker in lung cancer through bioinformatics analysis |
title_full | Identification of RFC5 as a novel potential prognostic biomarker in lung cancer through bioinformatics analysis |
title_fullStr | Identification of RFC5 as a novel potential prognostic biomarker in lung cancer through bioinformatics analysis |
title_full_unstemmed | Identification of RFC5 as a novel potential prognostic biomarker in lung cancer through bioinformatics analysis |
title_short | Identification of RFC5 as a novel potential prognostic biomarker in lung cancer through bioinformatics analysis |
title_sort | identification of rfc5 as a novel potential prognostic biomarker in lung cancer through bioinformatics analysis |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6126192/ https://www.ncbi.nlm.nih.gov/pubmed/30214556 http://dx.doi.org/10.3892/ol.2018.9221 |
work_keys_str_mv | AT wangmeng identificationofrfc5asanovelpotentialprognosticbiomarkerinlungcancerthroughbioinformaticsanalysis AT xietian identificationofrfc5asanovelpotentialprognosticbiomarkerinlungcancerthroughbioinformaticsanalysis AT wuyingjie identificationofrfc5asanovelpotentialprognosticbiomarkerinlungcancerthroughbioinformaticsanalysis AT yinqian identificationofrfc5asanovelpotentialprognosticbiomarkerinlungcancerthroughbioinformaticsanalysis AT xiesongping identificationofrfc5asanovelpotentialprognosticbiomarkerinlungcancerthroughbioinformaticsanalysis AT yaoqingyu identificationofrfc5asanovelpotentialprognosticbiomarkerinlungcancerthroughbioinformaticsanalysis AT xiongjie identificationofrfc5asanovelpotentialprognosticbiomarkerinlungcancerthroughbioinformaticsanalysis AT zhangqiuping identificationofrfc5asanovelpotentialprognosticbiomarkerinlungcancerthroughbioinformaticsanalysis |