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Pyruvate kinase M2 (PKM2) expression correlates with prognosis in solid cancers: a meta-analysis
Pyruvate kinase M2 (PKM2) is the key enzyme in the Warburg effect and plays a central role in cancer cell metabolic reprogramming. Recently, quite a few studies have investigated the correlation between PKM2 expression and prognosis in multiple cancer patients, but results were inconsistent. We ther...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5352083/ https://www.ncbi.nlm.nih.gov/pubmed/27911861 http://dx.doi.org/10.18632/oncotarget.13703 |
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author | Zhu, Haiyan Luo, Hui Zhu, Xuejie Hu, Xiaoli Zheng, Lihong Zhu, Xueqiong |
author_facet | Zhu, Haiyan Luo, Hui Zhu, Xuejie Hu, Xiaoli Zheng, Lihong Zhu, Xueqiong |
author_sort | Zhu, Haiyan |
collection | PubMed |
description | Pyruvate kinase M2 (PKM2) is the key enzyme in the Warburg effect and plays a central role in cancer cell metabolic reprogramming. Recently, quite a few studies have investigated the correlation between PKM2 expression and prognosis in multiple cancer patients, but results were inconsistent. We therefore performed a meta-analysis to explore the prognostic value of PKM2 expression in patients with solid cancer. Here twenty-seven individual studies from 25 publications with a total of 4796 cases were included to explore the association between PKM2 and overall survival (OS) or disease-free survival (DFS)/ progression-free survival (PFS)/ recurrent-free survival (RFS) in subjects with solid cancer. Pooled analysis showed that high levels of PKM2 was significantly associated with a poorer overall survival (HR = 1.73; 95%CI = 1.48-2.03) and DFS/ PFS/ RFS (HR = 1.90; 95%CI = 1.39-2.59) irrespective of cancer types. Different analysis models (univariate or multivariate models), sample-sizes (≤100 or >100), and methods for data collection (direct extraction or indirect extraction) had no impact on the negative prognostic effect of PKM2 over-expression. Nevertheless, stratified by cancer type, high-expression of PKM2 was associated with an unfavorable OS in breast cancer, esophageal squamous carcinoma, hepatocellular carcinoma and gallbladder cancer; whereas was not correlated with a worse OS in pancreatic cancer and gastric cancer. In conclusion, over-expression of PKM2 is associated with poor prognosis in most solid cancers and it might be a potentially useful biomarker for predicting cancer prognosis in future clinical applications. |
format | Online Article Text |
id | pubmed-5352083 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-53520832017-04-13 Pyruvate kinase M2 (PKM2) expression correlates with prognosis in solid cancers: a meta-analysis Zhu, Haiyan Luo, Hui Zhu, Xuejie Hu, Xiaoli Zheng, Lihong Zhu, Xueqiong Oncotarget Research Paper Pyruvate kinase M2 (PKM2) is the key enzyme in the Warburg effect and plays a central role in cancer cell metabolic reprogramming. Recently, quite a few studies have investigated the correlation between PKM2 expression and prognosis in multiple cancer patients, but results were inconsistent. We therefore performed a meta-analysis to explore the prognostic value of PKM2 expression in patients with solid cancer. Here twenty-seven individual studies from 25 publications with a total of 4796 cases were included to explore the association between PKM2 and overall survival (OS) or disease-free survival (DFS)/ progression-free survival (PFS)/ recurrent-free survival (RFS) in subjects with solid cancer. Pooled analysis showed that high levels of PKM2 was significantly associated with a poorer overall survival (HR = 1.73; 95%CI = 1.48-2.03) and DFS/ PFS/ RFS (HR = 1.90; 95%CI = 1.39-2.59) irrespective of cancer types. Different analysis models (univariate or multivariate models), sample-sizes (≤100 or >100), and methods for data collection (direct extraction or indirect extraction) had no impact on the negative prognostic effect of PKM2 over-expression. Nevertheless, stratified by cancer type, high-expression of PKM2 was associated with an unfavorable OS in breast cancer, esophageal squamous carcinoma, hepatocellular carcinoma and gallbladder cancer; whereas was not correlated with a worse OS in pancreatic cancer and gastric cancer. In conclusion, over-expression of PKM2 is associated with poor prognosis in most solid cancers and it might be a potentially useful biomarker for predicting cancer prognosis in future clinical applications. Impact Journals LLC 2016-11-29 /pmc/articles/PMC5352083/ /pubmed/27911861 http://dx.doi.org/10.18632/oncotarget.13703 Text en Copyright: © 2017 Zhu et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Zhu, Haiyan Luo, Hui Zhu, Xuejie Hu, Xiaoli Zheng, Lihong Zhu, Xueqiong Pyruvate kinase M2 (PKM2) expression correlates with prognosis in solid cancers: a meta-analysis |
title | Pyruvate kinase M2 (PKM2) expression correlates with prognosis in solid cancers: a meta-analysis |
title_full | Pyruvate kinase M2 (PKM2) expression correlates with prognosis in solid cancers: a meta-analysis |
title_fullStr | Pyruvate kinase M2 (PKM2) expression correlates with prognosis in solid cancers: a meta-analysis |
title_full_unstemmed | Pyruvate kinase M2 (PKM2) expression correlates with prognosis in solid cancers: a meta-analysis |
title_short | Pyruvate kinase M2 (PKM2) expression correlates with prognosis in solid cancers: a meta-analysis |
title_sort | pyruvate kinase m2 (pkm2) expression correlates with prognosis in solid cancers: a meta-analysis |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5352083/ https://www.ncbi.nlm.nih.gov/pubmed/27911861 http://dx.doi.org/10.18632/oncotarget.13703 |
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