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Prognostic significance of A-kinase interacting protein 1 expression in various cancers: A meta-analysis based on the Chinese population

BACKGROUND: Cumulative evidence suggests that A-kinase interacting protein 1 (AKIP1) plays an important role in tumor progression. However, the prognostic value of AKIP1 expression in various cancers remains unclear. Here, we conducted a meta-analysis to evaluate the prognostic value of AKIP1 expres...

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Autores principales: Xue, Shanshan, Zhang, Chuanmeng, Xu, Jie, Zhou, Chenglin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9276198/
https://www.ncbi.nlm.nih.gov/pubmed/35758348
http://dx.doi.org/10.1097/MD.0000000000029203
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author Xue, Shanshan
Zhang, Chuanmeng
Xu, Jie
Zhou, Chenglin
author_facet Xue, Shanshan
Zhang, Chuanmeng
Xu, Jie
Zhou, Chenglin
author_sort Xue, Shanshan
collection PubMed
description BACKGROUND: Cumulative evidence suggests that A-kinase interacting protein 1 (AKIP1) plays an important role in tumor progression. However, the prognostic value of AKIP1 expression in various cancers remains unclear. Here, we conducted a meta-analysis to evaluate the prognostic value of AKIP1 expression in patients with cancer. METHODS: The PubMed, Web of Science, EMBASE, CNKI, and Wanfang databases were systematically searched to identify studies in which the effect of AKIP1 expression on prognosis (overall survival or disease-free survival) was investigated. Hazard ratios (HRs) with 95% confidence intervals (CIs) were combined to assess the effect of AKIP1 expression on patient survival. Odds ratios (ORs) with 95% CIs were pooled to estimate the association between AKIP1 expression and clinicopathological characteristics of patients with cancer. RESULTS: Nineteen eligible studies, encompassing 3979 patients, were included in the meta-analysis. AKIP1 expression was negatively associated with overall survival (HR = 1.86, 95% CI: 1.58–2.18, P < .001) and disease-free survival (HR = 1.69, 95% CI: 1.53–1.87, P < .001) in patients with cancer. Moreover, AKIP1 overexpression was positively correlated with adverse clinicopathological features, such as tumor size (OR = 2.22, 95% CI: 1.67–2.94, P < .001), clinical stage (OR = 2.05, 95% CI: 1.45–2.90, P < .001), depth of tumor invasion (OR = 2.98, 95% CI: 2.21–4.02, P < .001), and degree of lymph node metastasis (OR = 2.12, 95% CI: 1.75–2.57, P < .001). CONCLUSIONS: High AKIP1 expression is an unfavorable prognostic biomarker and may serve as a potential therapeutic target in patients with cancer.
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spelling pubmed-92761982022-07-13 Prognostic significance of A-kinase interacting protein 1 expression in various cancers: A meta-analysis based on the Chinese population Xue, Shanshan Zhang, Chuanmeng Xu, Jie Zhou, Chenglin Medicine (Baltimore) 5700 BACKGROUND: Cumulative evidence suggests that A-kinase interacting protein 1 (AKIP1) plays an important role in tumor progression. However, the prognostic value of AKIP1 expression in various cancers remains unclear. Here, we conducted a meta-analysis to evaluate the prognostic value of AKIP1 expression in patients with cancer. METHODS: The PubMed, Web of Science, EMBASE, CNKI, and Wanfang databases were systematically searched to identify studies in which the effect of AKIP1 expression on prognosis (overall survival or disease-free survival) was investigated. Hazard ratios (HRs) with 95% confidence intervals (CIs) were combined to assess the effect of AKIP1 expression on patient survival. Odds ratios (ORs) with 95% CIs were pooled to estimate the association between AKIP1 expression and clinicopathological characteristics of patients with cancer. RESULTS: Nineteen eligible studies, encompassing 3979 patients, were included in the meta-analysis. AKIP1 expression was negatively associated with overall survival (HR = 1.86, 95% CI: 1.58–2.18, P < .001) and disease-free survival (HR = 1.69, 95% CI: 1.53–1.87, P < .001) in patients with cancer. Moreover, AKIP1 overexpression was positively correlated with adverse clinicopathological features, such as tumor size (OR = 2.22, 95% CI: 1.67–2.94, P < .001), clinical stage (OR = 2.05, 95% CI: 1.45–2.90, P < .001), depth of tumor invasion (OR = 2.98, 95% CI: 2.21–4.02, P < .001), and degree of lymph node metastasis (OR = 2.12, 95% CI: 1.75–2.57, P < .001). CONCLUSIONS: High AKIP1 expression is an unfavorable prognostic biomarker and may serve as a potential therapeutic target in patients with cancer. Lippincott Williams & Wilkins 2022-06-24 /pmc/articles/PMC9276198/ /pubmed/35758348 http://dx.doi.org/10.1097/MD.0000000000029203 Text en Copyright © 2022 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0 (https://creativecommons.org/licenses/by/4.0/)
spellingShingle 5700
Xue, Shanshan
Zhang, Chuanmeng
Xu, Jie
Zhou, Chenglin
Prognostic significance of A-kinase interacting protein 1 expression in various cancers: A meta-analysis based on the Chinese population
title Prognostic significance of A-kinase interacting protein 1 expression in various cancers: A meta-analysis based on the Chinese population
title_full Prognostic significance of A-kinase interacting protein 1 expression in various cancers: A meta-analysis based on the Chinese population
title_fullStr Prognostic significance of A-kinase interacting protein 1 expression in various cancers: A meta-analysis based on the Chinese population
title_full_unstemmed Prognostic significance of A-kinase interacting protein 1 expression in various cancers: A meta-analysis based on the Chinese population
title_short Prognostic significance of A-kinase interacting protein 1 expression in various cancers: A meta-analysis based on the Chinese population
title_sort prognostic significance of a-kinase interacting protein 1 expression in various cancers: a meta-analysis based on the chinese population
topic 5700
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9276198/
https://www.ncbi.nlm.nih.gov/pubmed/35758348
http://dx.doi.org/10.1097/MD.0000000000029203
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