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Correlation Between High Expression of FOXA2 and Improved Overall Survival in Ovarian Cancer Patients

BACKGROUND: The aim of the present work was to evaluate FOXA2 expression in ovarian cancer and to use integrated bioinformatics analysis to correlate it with patient prognosis. MATERIAL/METHODS: FOXA2 expression was evaluated in multiple cancers in The Cancer Genome Atlas database. A protein–protein...

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Autores principales: Shang, Hui, Shi, Lingyun, Jiang, Xuena, Zhou, Peng, Wei, Yongqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Scientific Literature, Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7839277/
https://www.ncbi.nlm.nih.gov/pubmed/33483461
http://dx.doi.org/10.12659/MSM.928763
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author Shang, Hui
Shi, Lingyun
Jiang, Xuena
Zhou, Peng
Wei, Yongqing
author_facet Shang, Hui
Shi, Lingyun
Jiang, Xuena
Zhou, Peng
Wei, Yongqing
author_sort Shang, Hui
collection PubMed
description BACKGROUND: The aim of the present work was to evaluate FOXA2 expression in ovarian cancer and to use integrated bioinformatics analysis to correlate it with patient prognosis. MATERIAL/METHODS: FOXA2 expression was evaluated in multiple cancers in The Cancer Genome Atlas database. A protein–protein interaction (PPI) network relevant to FOXA2 was constructed using the Search Tool for Retrieval of Interacting Genes/Proteins (STRIN). Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses were performed of FOXA2 and relevant genes. Correlations between overall survival (OS), disease-free survival, and FOXA2 expression were evaluated. An immunohistochemical assay (IHC) was used to test for FOXA2 protein expression in 79 ovarian cancer specimens. RESULTS: FOXA2 mRNA was upregulated in colorectal, stomach, liver, and endometrial cancers. In the PPI network, 21 protein nodes and 533 edges were constructed with a local clustering coefficient of 0.698, which indicated significant PPI enrichment (P<0.01). FOXA2 and relevant genes were mainly enriched in the signaling pathways regulating pluripotency of stem cells, cancer, and AMPK. A survival analysis indicated that OS was significantly longer in patients with higher versus lower FOXA2 protein expression (HR=0.73, P<0.01). The IHC assay showed that the FOXA2 protein was mainly positively expressed in the nucleoplasm of tumor cells with brown-yellow staining. Of the 79 ovarian cancer samples, 31 (39.2%) highly expressed FOXA2. The FOXA2 gene was correlated with International Federation of Gynecology and Obstetrics staging and with lymph node metastasis (both P<0.05). CONCLUSIONS: Upregulation of the FOXA2 gene was correlated with improved OS in patients with ovarian cancer and it can be used as a prognostic biomarker and potential treatment target.
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spelling pubmed-78392772021-02-01 Correlation Between High Expression of FOXA2 and Improved Overall Survival in Ovarian Cancer Patients Shang, Hui Shi, Lingyun Jiang, Xuena Zhou, Peng Wei, Yongqing Med Sci Monit Database Analysis BACKGROUND: The aim of the present work was to evaluate FOXA2 expression in ovarian cancer and to use integrated bioinformatics analysis to correlate it with patient prognosis. MATERIAL/METHODS: FOXA2 expression was evaluated in multiple cancers in The Cancer Genome Atlas database. A protein–protein interaction (PPI) network relevant to FOXA2 was constructed using the Search Tool for Retrieval of Interacting Genes/Proteins (STRIN). Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses were performed of FOXA2 and relevant genes. Correlations between overall survival (OS), disease-free survival, and FOXA2 expression were evaluated. An immunohistochemical assay (IHC) was used to test for FOXA2 protein expression in 79 ovarian cancer specimens. RESULTS: FOXA2 mRNA was upregulated in colorectal, stomach, liver, and endometrial cancers. In the PPI network, 21 protein nodes and 533 edges were constructed with a local clustering coefficient of 0.698, which indicated significant PPI enrichment (P<0.01). FOXA2 and relevant genes were mainly enriched in the signaling pathways regulating pluripotency of stem cells, cancer, and AMPK. A survival analysis indicated that OS was significantly longer in patients with higher versus lower FOXA2 protein expression (HR=0.73, P<0.01). The IHC assay showed that the FOXA2 protein was mainly positively expressed in the nucleoplasm of tumor cells with brown-yellow staining. Of the 79 ovarian cancer samples, 31 (39.2%) highly expressed FOXA2. The FOXA2 gene was correlated with International Federation of Gynecology and Obstetrics staging and with lymph node metastasis (both P<0.05). CONCLUSIONS: Upregulation of the FOXA2 gene was correlated with improved OS in patients with ovarian cancer and it can be used as a prognostic biomarker and potential treatment target. International Scientific Literature, Inc. 2021-01-23 /pmc/articles/PMC7839277/ /pubmed/33483461 http://dx.doi.org/10.12659/MSM.928763 Text en © Med Sci Monit, 2021 This work is licensed under Creative Common Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) )
spellingShingle Database Analysis
Shang, Hui
Shi, Lingyun
Jiang, Xuena
Zhou, Peng
Wei, Yongqing
Correlation Between High Expression of FOXA2 and Improved Overall Survival in Ovarian Cancer Patients
title Correlation Between High Expression of FOXA2 and Improved Overall Survival in Ovarian Cancer Patients
title_full Correlation Between High Expression of FOXA2 and Improved Overall Survival in Ovarian Cancer Patients
title_fullStr Correlation Between High Expression of FOXA2 and Improved Overall Survival in Ovarian Cancer Patients
title_full_unstemmed Correlation Between High Expression of FOXA2 and Improved Overall Survival in Ovarian Cancer Patients
title_short Correlation Between High Expression of FOXA2 and Improved Overall Survival in Ovarian Cancer Patients
title_sort correlation between high expression of foxa2 and improved overall survival in ovarian cancer patients
topic Database Analysis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7839277/
https://www.ncbi.nlm.nih.gov/pubmed/33483461
http://dx.doi.org/10.12659/MSM.928763
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