Cargando…
Prognostic role of E2F1 gene expression in human cancer: a meta-analysis
OBJECTIVE: E2F1 has been confirmed to be highly expressed in a variety of cancers. To better understand the prognostic value of E2F1 in cancer patients, this study was conducted to comprehensively evaluate the prognostic value of E2F1 in cancer according to published data. METHOD: PubMed, Web of Sci...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10243032/ https://www.ncbi.nlm.nih.gov/pubmed/37277745 http://dx.doi.org/10.1186/s12885-023-10865-8 |
_version_ | 1785054344199012352 |
---|---|
author | Li, Jingjing Bi, Wen Lu, Fang Pan, Bei Xiong, Mengqiu Nasifu, Lubanga Nie, Zhenlin He, Bangshun |
author_facet | Li, Jingjing Bi, Wen Lu, Fang Pan, Bei Xiong, Mengqiu Nasifu, Lubanga Nie, Zhenlin He, Bangshun |
author_sort | Li, Jingjing |
collection | PubMed |
description | OBJECTIVE: E2F1 has been confirmed to be highly expressed in a variety of cancers. To better understand the prognostic value of E2F1 in cancer patients, this study was conducted to comprehensively evaluate the prognostic value of E2F1 in cancer according to published data. METHOD: PubMed, Web of Science and CNKI database were searched until May 31(th), 2022 by using key words to retrieve the published essays on the role of E2F1 expression in the prognostic value of cancer. The essays were identified according to the inclusion and exclusion criteria. The pooled result of hazard ratio and 95% confidence interval was calculated with Stata17.0 software. RESULT: A total of 17 articles were included in this study involved in 4481 cancer patients. The pooled results showed that higher E2F1 expression was significantly correlated with unfavorable overall survival (HR = 1.10, I(2) = 95.3%, *P(Heterogeneity) = 0.000) and disease-free survival (HR = 1.41, I(2) = 95.2%, *P(Heterogeneity) = 0.000) of cancer patients. Such a significant association of was maintained subgroup of sample size of patients (> 150: for OS, HR = 1.77, and for DFS, HR = 0.91; or < 150: for OS, HR = 1.93, and for DFS, HR = 4.39), ethnicity (Asian: for OS, HR = 1.65, and for DFS, HR = 1.08; or not Asian: HR = 3.55, and for DFS, HR = 2.87), the data from database (clinical: for OS, HR = 1.24, and for DFS, HR = 1.40; or database: for OS, HR = 2.29, and for DFS, HR = 3.09), paper published year (after 2014: for OS, HR = 1.90;and for DFS,HR = 1.87; or before 2014: for OS, HR = 1.40, and for DFS, HR = 1.22); cancer type (female specific cancer: for OS, HR = 1.41, and for DFS, HR = 0.64; or non-gender specific cancers: for OS, HR = 2.00, and for DFS, HR = 2.95). In addition, according to the database data, we also found that higher E2F1 expression level would lead to worse prognosis of patients, and the results were consistent with the statistical analysis results in the paper. CONCLUSION: E2F1 could be served as a prognostic biomarker in cancer patients and higher levels of in cancer patients could predict shorter overall survival and disease-free survival. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-023-10865-8. |
format | Online Article Text |
id | pubmed-10243032 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-102430322023-06-07 Prognostic role of E2F1 gene expression in human cancer: a meta-analysis Li, Jingjing Bi, Wen Lu, Fang Pan, Bei Xiong, Mengqiu Nasifu, Lubanga Nie, Zhenlin He, Bangshun BMC Cancer Research OBJECTIVE: E2F1 has been confirmed to be highly expressed in a variety of cancers. To better understand the prognostic value of E2F1 in cancer patients, this study was conducted to comprehensively evaluate the prognostic value of E2F1 in cancer according to published data. METHOD: PubMed, Web of Science and CNKI database were searched until May 31(th), 2022 by using key words to retrieve the published essays on the role of E2F1 expression in the prognostic value of cancer. The essays were identified according to the inclusion and exclusion criteria. The pooled result of hazard ratio and 95% confidence interval was calculated with Stata17.0 software. RESULT: A total of 17 articles were included in this study involved in 4481 cancer patients. The pooled results showed that higher E2F1 expression was significantly correlated with unfavorable overall survival (HR = 1.10, I(2) = 95.3%, *P(Heterogeneity) = 0.000) and disease-free survival (HR = 1.41, I(2) = 95.2%, *P(Heterogeneity) = 0.000) of cancer patients. Such a significant association of was maintained subgroup of sample size of patients (> 150: for OS, HR = 1.77, and for DFS, HR = 0.91; or < 150: for OS, HR = 1.93, and for DFS, HR = 4.39), ethnicity (Asian: for OS, HR = 1.65, and for DFS, HR = 1.08; or not Asian: HR = 3.55, and for DFS, HR = 2.87), the data from database (clinical: for OS, HR = 1.24, and for DFS, HR = 1.40; or database: for OS, HR = 2.29, and for DFS, HR = 3.09), paper published year (after 2014: for OS, HR = 1.90;and for DFS,HR = 1.87; or before 2014: for OS, HR = 1.40, and for DFS, HR = 1.22); cancer type (female specific cancer: for OS, HR = 1.41, and for DFS, HR = 0.64; or non-gender specific cancers: for OS, HR = 2.00, and for DFS, HR = 2.95). In addition, according to the database data, we also found that higher E2F1 expression level would lead to worse prognosis of patients, and the results were consistent with the statistical analysis results in the paper. CONCLUSION: E2F1 could be served as a prognostic biomarker in cancer patients and higher levels of in cancer patients could predict shorter overall survival and disease-free survival. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-023-10865-8. BioMed Central 2023-06-05 /pmc/articles/PMC10243032/ /pubmed/37277745 http://dx.doi.org/10.1186/s12885-023-10865-8 Text en © The Author(s) 2023 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 Li, Jingjing Bi, Wen Lu, Fang Pan, Bei Xiong, Mengqiu Nasifu, Lubanga Nie, Zhenlin He, Bangshun Prognostic role of E2F1 gene expression in human cancer: a meta-analysis |
title | Prognostic role of E2F1 gene expression in human cancer: a meta-analysis |
title_full | Prognostic role of E2F1 gene expression in human cancer: a meta-analysis |
title_fullStr | Prognostic role of E2F1 gene expression in human cancer: a meta-analysis |
title_full_unstemmed | Prognostic role of E2F1 gene expression in human cancer: a meta-analysis |
title_short | Prognostic role of E2F1 gene expression in human cancer: a meta-analysis |
title_sort | prognostic role of e2f1 gene expression in human cancer: a meta-analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10243032/ https://www.ncbi.nlm.nih.gov/pubmed/37277745 http://dx.doi.org/10.1186/s12885-023-10865-8 |
work_keys_str_mv | AT lijingjing prognosticroleofe2f1geneexpressioninhumancancerametaanalysis AT biwen prognosticroleofe2f1geneexpressioninhumancancerametaanalysis AT lufang prognosticroleofe2f1geneexpressioninhumancancerametaanalysis AT panbei prognosticroleofe2f1geneexpressioninhumancancerametaanalysis AT xiongmengqiu prognosticroleofe2f1geneexpressioninhumancancerametaanalysis AT nasifulubanga prognosticroleofe2f1geneexpressioninhumancancerametaanalysis AT niezhenlin prognosticroleofe2f1geneexpressioninhumancancerametaanalysis AT hebangshun prognosticroleofe2f1geneexpressioninhumancancerametaanalysis |