Low expression of CIP4 in predicting worse overall survival: A potential biomarker for laryngeal cancer.

Previous reports indicate that Cdc42-interacting protein-4 (CIP4) has previously been reported to plays an important role in the progression of various cancers. However, its correlation with laryngeal cancer (LC) remains unreported. Data from TCGA and GEO databases were used to evaluate the role of...

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Autores principales:	Lucheng Fang, Licai Shi, Wen Wang, Xiu Wu, Tingting Hu, Yideng Huang, Xingwang Rao
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/60f618e1009448959de51286352dfbc0
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spelling	oai:doaj.org-article:60f618e1009448959de51286352dfbc02021-12-02T20:07:59ZLow expression of CIP4 in predicting worse overall survival: A potential biomarker for laryngeal cancer.1932-620310.1371/journal.pone.0253545https://doaj.org/article/60f618e1009448959de51286352dfbc02021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0253545https://doaj.org/toc/1932-6203Previous reports indicate that Cdc42-interacting protein-4 (CIP4) has previously been reported to plays an important role in the progression of various cancers. However, its correlation with laryngeal cancer (LC) remains unreported. Data from TCGA and GEO databases were used to evaluate the role of CIP4 in LC. Based on GEO and TCGA datasets, we analyzed the differences in CIP4 expression between normal and tumor samples. The Wilcoxon signed-rank test was used to analyze the relationship between clinical features and CIP4. Cox regression and the Kaplan-Meier analyses were used to identify the clinical characteristics associated with the overall survival. Also, the GEPIA database was used to confirm the relationship between CIP4 and overall survival. Lastly, Gene Set Enrichment Analysis (GSEA) was performed based on the TCGA dataset. CIP4 expression in LC was significantly associated with gender and tumor stage (p-values<0.05). Similar to GEPIA validation, Kaplan-Meier survival analysis demonstrated that LC with CIP4-low exhibited a worse prognosis than that with CIP4-high. Univariate analysis revealed that CIP4-high significantly correlated with better overall survival (HR: 0.522, 95% CI: 0.293-0.830, P = 0.026). Besides, multivariate analysis revealed that CIP4 remained independently associated with the overall survival (HR: 0.61, 95% CI: 0.326-0.912, P = 0.012). GSEA showed that the p53, WNT signaling, TGF-β signaling pathways, etc. were enriched in a phenotype high CIP4 expression. In summary, the CIP4 gene is a potential prognostic molecular marker for patients diagnosed with laryngeal cancer. Moreover, the p53, WNT signaling, and TGF-β signaling pathways are potentially associated with CIP4 in LC.Lucheng FangLicai ShiWen WangXiu WuTingting HuYideng HuangXingwang RaoPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 9, p e0253545 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Lucheng Fang Licai Shi Wen Wang Xiu Wu Tingting Hu Yideng Huang Xingwang Rao Low expression of CIP4 in predicting worse overall survival: A potential biomarker for laryngeal cancer.
description	Previous reports indicate that Cdc42-interacting protein-4 (CIP4) has previously been reported to plays an important role in the progression of various cancers. However, its correlation with laryngeal cancer (LC) remains unreported. Data from TCGA and GEO databases were used to evaluate the role of CIP4 in LC. Based on GEO and TCGA datasets, we analyzed the differences in CIP4 expression between normal and tumor samples. The Wilcoxon signed-rank test was used to analyze the relationship between clinical features and CIP4. Cox regression and the Kaplan-Meier analyses were used to identify the clinical characteristics associated with the overall survival. Also, the GEPIA database was used to confirm the relationship between CIP4 and overall survival. Lastly, Gene Set Enrichment Analysis (GSEA) was performed based on the TCGA dataset. CIP4 expression in LC was significantly associated with gender and tumor stage (p-values<0.05). Similar to GEPIA validation, Kaplan-Meier survival analysis demonstrated that LC with CIP4-low exhibited a worse prognosis than that with CIP4-high. Univariate analysis revealed that CIP4-high significantly correlated with better overall survival (HR: 0.522, 95% CI: 0.293-0.830, P = 0.026). Besides, multivariate analysis revealed that CIP4 remained independently associated with the overall survival (HR: 0.61, 95% CI: 0.326-0.912, P = 0.012). GSEA showed that the p53, WNT signaling, TGF-β signaling pathways, etc. were enriched in a phenotype high CIP4 expression. In summary, the CIP4 gene is a potential prognostic molecular marker for patients diagnosed with laryngeal cancer. Moreover, the p53, WNT signaling, and TGF-β signaling pathways are potentially associated with CIP4 in LC.
format	article
author	Lucheng Fang Licai Shi Wen Wang Xiu Wu Tingting Hu Yideng Huang Xingwang Rao
author_facet	Lucheng Fang Licai Shi Wen Wang Xiu Wu Tingting Hu Yideng Huang Xingwang Rao
author_sort	Lucheng Fang
title	Low expression of CIP4 in predicting worse overall survival: A potential biomarker for laryngeal cancer.
title_short	Low expression of CIP4 in predicting worse overall survival: A potential biomarker for laryngeal cancer.
title_full	Low expression of CIP4 in predicting worse overall survival: A potential biomarker for laryngeal cancer.
title_fullStr	Low expression of CIP4 in predicting worse overall survival: A potential biomarker for laryngeal cancer.
title_full_unstemmed	Low expression of CIP4 in predicting worse overall survival: A potential biomarker for laryngeal cancer.
title_sort	low expression of cip4 in predicting worse overall survival: a potential biomarker for laryngeal cancer.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/60f618e1009448959de51286352dfbc0
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_version_	1718375243164155904

Low expression of CIP4 in predicting worse overall survival: A potential biomarker for laryngeal cancer.

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