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KIAA0101 as a new diagnostic and prognostic marker, and its correlation with gene regulatory networks and immune infiltrates in lung adenocarcinoma
Proliferating cell nuclear antigen binding factor (encoded by KIAA0101/ PCLAF) regulates DNA synthesis and cell cycle progression; however, whether the level of KIAA0101 mRNA in lung adenocarcinoma is related to prognosis and tumor immune infiltration is unknown. In patients with lung adenocarcinoma...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7835026/ https://www.ncbi.nlm.nih.gov/pubmed/33231570 http://dx.doi.org/10.18632/aging.104144 |
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author | Hu, Sheng Zeng, Weibiao Zhang, Wenxiong Xu, Jianjun Yu, Dongliang Peng, Jinhua Wei, Yiping |
author_facet | Hu, Sheng Zeng, Weibiao Zhang, Wenxiong Xu, Jianjun Yu, Dongliang Peng, Jinhua Wei, Yiping |
author_sort | Hu, Sheng |
collection | PubMed |
description | Proliferating cell nuclear antigen binding factor (encoded by KIAA0101/ PCLAF) regulates DNA synthesis and cell cycle progression; however, whether the level of KIAA0101 mRNA in lung adenocarcinoma is related to prognosis and tumor immune infiltration is unknown. In patients with lung adenocarcinoma, the differential expression of KIAA0101 was analyzed using the Oncomine, GEPIA, and Ualcan databases. The prognosis of patients with different KIAA0101 expression levels was evaluated using databases such as Prognostan and GEPIA. Tumor immune infiltration associated with KIAA0101 was analyzed using TISIDB. Linkedmics was used to perform gene set enrichment analysis of KIAA0101. KIAA0101 expression in lung adenocarcinoma tissues was higher than that in normal lung tissues. Patients with lung adenocarcinoma with low KIAA0101 expression had a better prognosis than those with high KIAA0101 expression. We constructed the gene regulatory network of KIAA0101 in lung adenocarcinoma. KIAA0101 appeared to play an important role in the regulation of tumor immune infiltration and targeted therapy in lung adenocarcinoma. Thus, KIAA0101 mRNA levels correlated with the diagnosis, prognosis, immune infiltration, and targeted therapy in lung adenocarcinoma. These results provide new directions to develop diagnostic criteria, prognostic evaluation, immunotherapy, and targeted therapy for lung adenocarcinoma. |
format | Online Article Text |
id | pubmed-7835026 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Impact Journals |
record_format | MEDLINE/PubMed |
spelling | pubmed-78350262021-02-03 KIAA0101 as a new diagnostic and prognostic marker, and its correlation with gene regulatory networks and immune infiltrates in lung adenocarcinoma Hu, Sheng Zeng, Weibiao Zhang, Wenxiong Xu, Jianjun Yu, Dongliang Peng, Jinhua Wei, Yiping Aging (Albany NY) Research Paper Proliferating cell nuclear antigen binding factor (encoded by KIAA0101/ PCLAF) regulates DNA synthesis and cell cycle progression; however, whether the level of KIAA0101 mRNA in lung adenocarcinoma is related to prognosis and tumor immune infiltration is unknown. In patients with lung adenocarcinoma, the differential expression of KIAA0101 was analyzed using the Oncomine, GEPIA, and Ualcan databases. The prognosis of patients with different KIAA0101 expression levels was evaluated using databases such as Prognostan and GEPIA. Tumor immune infiltration associated with KIAA0101 was analyzed using TISIDB. Linkedmics was used to perform gene set enrichment analysis of KIAA0101. KIAA0101 expression in lung adenocarcinoma tissues was higher than that in normal lung tissues. Patients with lung adenocarcinoma with low KIAA0101 expression had a better prognosis than those with high KIAA0101 expression. We constructed the gene regulatory network of KIAA0101 in lung adenocarcinoma. KIAA0101 appeared to play an important role in the regulation of tumor immune infiltration and targeted therapy in lung adenocarcinoma. Thus, KIAA0101 mRNA levels correlated with the diagnosis, prognosis, immune infiltration, and targeted therapy in lung adenocarcinoma. These results provide new directions to develop diagnostic criteria, prognostic evaluation, immunotherapy, and targeted therapy for lung adenocarcinoma. Impact Journals 2020-11-20 /pmc/articles/PMC7835026/ /pubmed/33231570 http://dx.doi.org/10.18632/aging.104144 Text en Copyright: © 2020 Hu 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 Hu, Sheng Zeng, Weibiao Zhang, Wenxiong Xu, Jianjun Yu, Dongliang Peng, Jinhua Wei, Yiping KIAA0101 as a new diagnostic and prognostic marker, and its correlation with gene regulatory networks and immune infiltrates in lung adenocarcinoma |
title | KIAA0101 as a new diagnostic and prognostic marker, and its correlation with gene regulatory networks and immune infiltrates in lung adenocarcinoma |
title_full | KIAA0101 as a new diagnostic and prognostic marker, and its correlation with gene regulatory networks and immune infiltrates in lung adenocarcinoma |
title_fullStr | KIAA0101 as a new diagnostic and prognostic marker, and its correlation with gene regulatory networks and immune infiltrates in lung adenocarcinoma |
title_full_unstemmed | KIAA0101 as a new diagnostic and prognostic marker, and its correlation with gene regulatory networks and immune infiltrates in lung adenocarcinoma |
title_short | KIAA0101 as a new diagnostic and prognostic marker, and its correlation with gene regulatory networks and immune infiltrates in lung adenocarcinoma |
title_sort | kiaa0101 as a new diagnostic and prognostic marker, and its correlation with gene regulatory networks and immune infiltrates in lung adenocarcinoma |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7835026/ https://www.ncbi.nlm.nih.gov/pubmed/33231570 http://dx.doi.org/10.18632/aging.104144 |
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