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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: Fang, Lucheng, Shi, Licai, Wang, Wen, Wu, Xiu, Hu, Tingting, Huang, Yideng, Rao, Xingwang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8475988/
https://www.ncbi.nlm.nih.gov/pubmed/34570775
http://dx.doi.org/10.1371/journal.pone.0253545
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author Fang, Lucheng
Shi, Licai
Wang, Wen
Wu, Xiu
Hu, Tingting
Huang, Yideng
Rao, Xingwang
author_facet Fang, Lucheng
Shi, Licai
Wang, Wen
Wu, Xiu
Hu, Tingting
Huang, Yideng
Rao, Xingwang
author_sort Fang, Lucheng
collection PubMed
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.
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spelling pubmed-84759882021-09-28 Low expression of CIP4 in predicting worse overall survival: A potential biomarker for laryngeal cancer Fang, Lucheng Shi, Licai Wang, Wen Wu, Xiu Hu, Tingting Huang, Yideng Rao, Xingwang PLoS One Research Article 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. Public Library of Science 2021-09-27 /pmc/articles/PMC8475988/ /pubmed/34570775 http://dx.doi.org/10.1371/journal.pone.0253545 Text en © 2021 Fang et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Fang, Lucheng
Shi, Licai
Wang, Wen
Wu, Xiu
Hu, Tingting
Huang, Yideng
Rao, Xingwang
Low expression of CIP4 in predicting worse overall survival: A potential biomarker for laryngeal cancer
title 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_short 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
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8475988/
https://www.ncbi.nlm.nih.gov/pubmed/34570775
http://dx.doi.org/10.1371/journal.pone.0253545
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