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Prognostic Role of Hypoxia-Inducible Factor-2α Tumor Cell Expression in Cancer Patients: A Meta-Analysis
Hypoxia-inducible factor-2α (HIF-2α) plays an important role in tumor progression and metastasis. A number of studies have evaluated the correlation between HIF-2α overexpression and clinical outcome in cancer patients but yielded inconsistent results. To comprehensively and quantitatively summarize...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6004384/ https://www.ncbi.nlm.nih.gov/pubmed/29942795 http://dx.doi.org/10.3389/fonc.2018.00224 |
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author | Moreno Roig, Eloy Yaromina, Ala Houben, Ruud Groot, Arjan J. Dubois, Ludwig Vooijs, Marc |
author_facet | Moreno Roig, Eloy Yaromina, Ala Houben, Ruud Groot, Arjan J. Dubois, Ludwig Vooijs, Marc |
author_sort | Moreno Roig, Eloy |
collection | PubMed |
description | Hypoxia-inducible factor-2α (HIF-2α) plays an important role in tumor progression and metastasis. A number of studies have evaluated the correlation between HIF-2α overexpression and clinical outcome in cancer patients but yielded inconsistent results. To comprehensively and quantitatively summarize the evidence on the capability of HIF-2α to predict the prognosis of cancer patients with solid tumors, a meta-analysis was carried out. Renal cell carcinoma (CC-RCC) was separately analyzed due to an alternative mechanism of regulation. Systematic literature searches were performed in PubMed and Embase databases for relevant original articles until February 2018. Forty-nine studies with 6,052 patients were included in this study. The pooled hazard ratios (HRs) with corresponding confidence intervals were calculated to assess the prognostic value of HIF-2α protein expression in tumor cells. The meta-analysis revealed strong significant negative associations between HIF-2α expression and five endpoints: overall survival [HR = 1.69, 95% confidence interval (95% CI) 1.39–2.06], disease-free survival (HR = 1.87, 95% CI 1.2–2.92), disease-specific survival (HR = 1.57, 95% CI 1.06–2.34), metastasis-free survival (HR = 2.67, 95% CI 1.32–5.38), and progression-free survival (HR = 2.18, 95% CI 1.25–3.78). Subgroup analyses revealed similar associations in the majority of tumor sites. Overall, these data demonstrate a negative prognostic role of HIF-2α in patients suffering from different types of solid tumors. |
format | Online Article Text |
id | pubmed-6004384 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-60043842018-06-25 Prognostic Role of Hypoxia-Inducible Factor-2α Tumor Cell Expression in Cancer Patients: A Meta-Analysis Moreno Roig, Eloy Yaromina, Ala Houben, Ruud Groot, Arjan J. Dubois, Ludwig Vooijs, Marc Front Oncol Oncology Hypoxia-inducible factor-2α (HIF-2α) plays an important role in tumor progression and metastasis. A number of studies have evaluated the correlation between HIF-2α overexpression and clinical outcome in cancer patients but yielded inconsistent results. To comprehensively and quantitatively summarize the evidence on the capability of HIF-2α to predict the prognosis of cancer patients with solid tumors, a meta-analysis was carried out. Renal cell carcinoma (CC-RCC) was separately analyzed due to an alternative mechanism of regulation. Systematic literature searches were performed in PubMed and Embase databases for relevant original articles until February 2018. Forty-nine studies with 6,052 patients were included in this study. The pooled hazard ratios (HRs) with corresponding confidence intervals were calculated to assess the prognostic value of HIF-2α protein expression in tumor cells. The meta-analysis revealed strong significant negative associations between HIF-2α expression and five endpoints: overall survival [HR = 1.69, 95% confidence interval (95% CI) 1.39–2.06], disease-free survival (HR = 1.87, 95% CI 1.2–2.92), disease-specific survival (HR = 1.57, 95% CI 1.06–2.34), metastasis-free survival (HR = 2.67, 95% CI 1.32–5.38), and progression-free survival (HR = 2.18, 95% CI 1.25–3.78). Subgroup analyses revealed similar associations in the majority of tumor sites. Overall, these data demonstrate a negative prognostic role of HIF-2α in patients suffering from different types of solid tumors. Frontiers Media S.A. 2018-06-11 /pmc/articles/PMC6004384/ /pubmed/29942795 http://dx.doi.org/10.3389/fonc.2018.00224 Text en Copyright © 2018 Moreno Roig, Yaromina, Houben, Groot, Dubois and Vooijs. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Moreno Roig, Eloy Yaromina, Ala Houben, Ruud Groot, Arjan J. Dubois, Ludwig Vooijs, Marc Prognostic Role of Hypoxia-Inducible Factor-2α Tumor Cell Expression in Cancer Patients: A Meta-Analysis |
title | Prognostic Role of Hypoxia-Inducible Factor-2α Tumor Cell Expression in Cancer Patients: A Meta-Analysis |
title_full | Prognostic Role of Hypoxia-Inducible Factor-2α Tumor Cell Expression in Cancer Patients: A Meta-Analysis |
title_fullStr | Prognostic Role of Hypoxia-Inducible Factor-2α Tumor Cell Expression in Cancer Patients: A Meta-Analysis |
title_full_unstemmed | Prognostic Role of Hypoxia-Inducible Factor-2α Tumor Cell Expression in Cancer Patients: A Meta-Analysis |
title_short | Prognostic Role of Hypoxia-Inducible Factor-2α Tumor Cell Expression in Cancer Patients: A Meta-Analysis |
title_sort | prognostic role of hypoxia-inducible factor-2α tumor cell expression in cancer patients: a meta-analysis |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6004384/ https://www.ncbi.nlm.nih.gov/pubmed/29942795 http://dx.doi.org/10.3389/fonc.2018.00224 |
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