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Effects of EFNA1 on cell phenotype and prognosis of esophageal carcinoma
BACKGROUND: To investigate the expression and clinical significance of EFNA1 in broad-spectrum tumors, and to evaluate its relationship with prognosis and biological functions of esophageal carcinoma (ESCA). METHODS: EFNA1 expression in various cancers was analyzed according to the data in the TCGA...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8369630/ https://www.ncbi.nlm.nih.gov/pubmed/34399788 http://dx.doi.org/10.1186/s12957-021-02362-8 |
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author | Zhang, Yongqiang Zhang, Jinning Pan, Guanlong Guan, Tianhao Zhang, Changhao Hao, An Li, Yan Ren, Hai |
author_facet | Zhang, Yongqiang Zhang, Jinning Pan, Guanlong Guan, Tianhao Zhang, Changhao Hao, An Li, Yan Ren, Hai |
author_sort | Zhang, Yongqiang |
collection | PubMed |
description | BACKGROUND: To investigate the expression and clinical significance of EFNA1 in broad-spectrum tumors, and to evaluate its relationship with prognosis and biological functions of esophageal carcinoma (ESCA). METHODS: EFNA1 expression in various cancers was analyzed according to the data in the TCGA database. The clinical data were integrated, to analyze the relationship with ESCA clinical parameters and prognosis, and EFNA1 expression in ESCA tissue samples was detected by immunohistochemistry (IHC). Based on bioinformatics, the functional background of EFNA1 overexpression was analyzed. EFNA1 knockout cell model was established by EFNA1-shRNA transfecting ESCA cells, and the effect of knocking down EFNA1 on the proliferation of ESCA cells was detected by MTT. RESULTS: Among 7563 samples from TCGA, the EFNA1 gene highly expressed in 15 samples with common cancers and endangered the prognosis of patients with tumors. Its overexpression in ESCA and its influence on the prognosis were most significant. EFNA1 expression in 80 samples with ESCA and their paired samples was tested by IHC to verify its high expression (paired t test, P < 0.001) in ESCA tissues. It was found that EFNA1 expression was related to clinical factors (TNM staging, P = 0.031; lymph node metastasis, P = 0.043; infiltration, P = 0.016). Meanwhile, EFNA1 was found to be an independent risk factor based on the COX multi-factor analysis. And to further explore the importance of EFNA1 in tumors, EC-9706 and ECA109 cells were screened from 8 ESCA-related cell lines to build EFNA1 knockdown cell models. The results showed that EFNA1 knockdown significantly inhibited the proliferation of tumor cells (P < 0.05). In terms of molecular mechanism, EFNA1 related genes were significantly enriched in the proliferative pathway according to the pathway enrichment analysis. It was found that knocking down EFNA1 did inhibit cell proliferation based on cell experiments. CONCLUSIONS: EFNA1 overexpression in ESCA tissue is related to the prognosis of patients. Knocking down EFNA1 can significantly inhibit the proliferation of ESCA cells. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12957-021-02362-8. |
format | Online Article Text |
id | pubmed-8369630 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-83696302021-08-18 Effects of EFNA1 on cell phenotype and prognosis of esophageal carcinoma Zhang, Yongqiang Zhang, Jinning Pan, Guanlong Guan, Tianhao Zhang, Changhao Hao, An Li, Yan Ren, Hai World J Surg Oncol Research BACKGROUND: To investigate the expression and clinical significance of EFNA1 in broad-spectrum tumors, and to evaluate its relationship with prognosis and biological functions of esophageal carcinoma (ESCA). METHODS: EFNA1 expression in various cancers was analyzed according to the data in the TCGA database. The clinical data were integrated, to analyze the relationship with ESCA clinical parameters and prognosis, and EFNA1 expression in ESCA tissue samples was detected by immunohistochemistry (IHC). Based on bioinformatics, the functional background of EFNA1 overexpression was analyzed. EFNA1 knockout cell model was established by EFNA1-shRNA transfecting ESCA cells, and the effect of knocking down EFNA1 on the proliferation of ESCA cells was detected by MTT. RESULTS: Among 7563 samples from TCGA, the EFNA1 gene highly expressed in 15 samples with common cancers and endangered the prognosis of patients with tumors. Its overexpression in ESCA and its influence on the prognosis were most significant. EFNA1 expression in 80 samples with ESCA and their paired samples was tested by IHC to verify its high expression (paired t test, P < 0.001) in ESCA tissues. It was found that EFNA1 expression was related to clinical factors (TNM staging, P = 0.031; lymph node metastasis, P = 0.043; infiltration, P = 0.016). Meanwhile, EFNA1 was found to be an independent risk factor based on the COX multi-factor analysis. And to further explore the importance of EFNA1 in tumors, EC-9706 and ECA109 cells were screened from 8 ESCA-related cell lines to build EFNA1 knockdown cell models. The results showed that EFNA1 knockdown significantly inhibited the proliferation of tumor cells (P < 0.05). In terms of molecular mechanism, EFNA1 related genes were significantly enriched in the proliferative pathway according to the pathway enrichment analysis. It was found that knocking down EFNA1 did inhibit cell proliferation based on cell experiments. CONCLUSIONS: EFNA1 overexpression in ESCA tissue is related to the prognosis of patients. Knocking down EFNA1 can significantly inhibit the proliferation of ESCA cells. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12957-021-02362-8. BioMed Central 2021-08-16 /pmc/articles/PMC8369630/ /pubmed/34399788 http://dx.doi.org/10.1186/s12957-021-02362-8 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Zhang, Yongqiang Zhang, Jinning Pan, Guanlong Guan, Tianhao Zhang, Changhao Hao, An Li, Yan Ren, Hai Effects of EFNA1 on cell phenotype and prognosis of esophageal carcinoma |
title | Effects of EFNA1 on cell phenotype and prognosis of esophageal carcinoma |
title_full | Effects of EFNA1 on cell phenotype and prognosis of esophageal carcinoma |
title_fullStr | Effects of EFNA1 on cell phenotype and prognosis of esophageal carcinoma |
title_full_unstemmed | Effects of EFNA1 on cell phenotype and prognosis of esophageal carcinoma |
title_short | Effects of EFNA1 on cell phenotype and prognosis of esophageal carcinoma |
title_sort | effects of efna1 on cell phenotype and prognosis of esophageal carcinoma |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8369630/ https://www.ncbi.nlm.nih.gov/pubmed/34399788 http://dx.doi.org/10.1186/s12957-021-02362-8 |
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