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KIF4A as a novel prognostic biomarker in cholangiocarcinoma
Cholangiocarcinoma (CCA) is one of the most common malignant tumors. Although gene-targeted therapies have significantly improved the outcome of many cancers, the results are still not satisfactory for patients with CCA. Owing to the lack of an effective biomarker for guiding clinical treatment and...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8154480/ https://www.ncbi.nlm.nih.gov/pubmed/34032761 http://dx.doi.org/10.1097/MD.0000000000026130 |
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author | Zhang, Deng Yong Ma, Shuo Shuo Sun, Wan-liang Lv, Xue Chen Huang Lu, Zheng |
author_facet | Zhang, Deng Yong Ma, Shuo Shuo Sun, Wan-liang Lv, Xue Chen Huang Lu, Zheng |
author_sort | Zhang, Deng Yong |
collection | PubMed |
description | Cholangiocarcinoma (CCA) is one of the most common malignant tumors. Although gene-targeted therapies have significantly improved the outcome of many cancers, the results are still not satisfactory for patients with CCA. Owing to the lack of an effective biomarker for guiding clinical treatment and monitoring prognosis in patients with CCA, the purpose of this study was to identify a new biomarker that could help predict the outcome of patients with CCA using bioinformatics tools. Gene expression data were collected from three publicly available datasets, comprising 263 patients with CCA and 22 healthy controls. Differentially expressed genes were obtained using the limma package (FDR < 0.05, |Log(2)FC|>1), and the respective protein–protein interaction revealed five relevant genes in the STRING dataset (TOP2A, BUB1, RRM2, TYMS, and KIF4A). The immunohistochemistry and PCR were used to analyze the difference in KIF4A expression in CCA. Kinesin Family Member 4A (KIF4A) was the only gene significantly associated with overall patient survival (P .035), with higher KIF4A expression being associated with poor survival rates. Moreover, KIF4A was significantly correlated with the infiltration of activated memory T cells (P = .0198) and activated mast cells (P = .008) in the tumor microenvironment. Increase in KIF4A expression affected the infiltration degree of the immune cells, which may be involved in the regulation of immune tolerance by CCA cells. The results indicated that the expression of KIF4A in CCA was higher than that in paracancerous tissues. Taken together, these findings suggest that KIF4A could be a potential new biomarker in CCA for predicting the response of patients to targeted immunotherapies. |
format | Online Article Text |
id | pubmed-8154480 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-81544802021-05-29 KIF4A as a novel prognostic biomarker in cholangiocarcinoma Zhang, Deng Yong Ma, Shuo Shuo Sun, Wan-liang Lv, Xue Chen Huang Lu, Zheng Medicine (Baltimore) 4500 Cholangiocarcinoma (CCA) is one of the most common malignant tumors. Although gene-targeted therapies have significantly improved the outcome of many cancers, the results are still not satisfactory for patients with CCA. Owing to the lack of an effective biomarker for guiding clinical treatment and monitoring prognosis in patients with CCA, the purpose of this study was to identify a new biomarker that could help predict the outcome of patients with CCA using bioinformatics tools. Gene expression data were collected from three publicly available datasets, comprising 263 patients with CCA and 22 healthy controls. Differentially expressed genes were obtained using the limma package (FDR < 0.05, |Log(2)FC|>1), and the respective protein–protein interaction revealed five relevant genes in the STRING dataset (TOP2A, BUB1, RRM2, TYMS, and KIF4A). The immunohistochemistry and PCR were used to analyze the difference in KIF4A expression in CCA. Kinesin Family Member 4A (KIF4A) was the only gene significantly associated with overall patient survival (P .035), with higher KIF4A expression being associated with poor survival rates. Moreover, KIF4A was significantly correlated with the infiltration of activated memory T cells (P = .0198) and activated mast cells (P = .008) in the tumor microenvironment. Increase in KIF4A expression affected the infiltration degree of the immune cells, which may be involved in the regulation of immune tolerance by CCA cells. The results indicated that the expression of KIF4A in CCA was higher than that in paracancerous tissues. Taken together, these findings suggest that KIF4A could be a potential new biomarker in CCA for predicting the response of patients to targeted immunotherapies. Lippincott Williams & Wilkins 2021-05-28 /pmc/articles/PMC8154480/ /pubmed/34032761 http://dx.doi.org/10.1097/MD.0000000000026130 Text en Copyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc/4.0 (https://creativecommons.org/licenses/by-nc/4.0/) |
spellingShingle | 4500 Zhang, Deng Yong Ma, Shuo Shuo Sun, Wan-liang Lv, Xue Chen Huang Lu, Zheng KIF4A as a novel prognostic biomarker in cholangiocarcinoma |
title | KIF4A as a novel prognostic biomarker in cholangiocarcinoma |
title_full | KIF4A as a novel prognostic biomarker in cholangiocarcinoma |
title_fullStr | KIF4A as a novel prognostic biomarker in cholangiocarcinoma |
title_full_unstemmed | KIF4A as a novel prognostic biomarker in cholangiocarcinoma |
title_short | KIF4A as a novel prognostic biomarker in cholangiocarcinoma |
title_sort | kif4a as a novel prognostic biomarker in cholangiocarcinoma |
topic | 4500 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8154480/ https://www.ncbi.nlm.nih.gov/pubmed/34032761 http://dx.doi.org/10.1097/MD.0000000000026130 |
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