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Prognostic and clinicopathological significance of S100A14 expression in cancer patients: A meta-analysis
BACKGROUND: The prognostic significance of S100A14 for survival of cancer patients remains controversial. Therefore, we conducted this meta-analysis to explore the association between S100A14 expression and cancer prognosis. METHOD: Eligible studies were identified by searching the online databases...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer Health
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6641819/ https://www.ncbi.nlm.nih.gov/pubmed/31305429 http://dx.doi.org/10.1097/MD.0000000000016356 |
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author | Hu, Lixia Kong, Fanliang Pan, Yueyin |
author_facet | Hu, Lixia Kong, Fanliang Pan, Yueyin |
author_sort | Hu, Lixia |
collection | PubMed |
description | BACKGROUND: The prognostic significance of S100A14 for survival of cancer patients remains controversial. Therefore, we conducted this meta-analysis to explore the association between S100A14 expression and cancer prognosis. METHOD: Eligible studies were identified by searching the online databases Pubmed and EMBASE up to August 2018. Odds ratios (ORs) with 95% confidence intervals (CIs) severed as the summarized statistics for clinicopathological assessments and hazard ratios (HRs) with 95% CIs were calculated to clarify the correlation between S100A14 expression and prognosis of different cancers. RESULTS: A total of 11 studies with 1651 cancer patients were enrolled. The results indicated that S100A14 expression was not significantly associated with overall survival (OS) in total various cancers (HR = 1.54, 95% CI:0.89–2.67, P = .121). Further subgroup analysis stratified by tumor type showed that elevated S100A14 expression was associated with poor OS in breast cancer (HR = 3.66, 95% CI: 1.75–7.62, P < .001) and in ovarian cancer patients (HR = 3.78, 95%CI: 1.63–8.73, P = .002). Interestingly, high S100A14 expression was correlated with poor tumor differentiation (OR = 2.51, 95% CI: 1.52–4.13, P < .001). However, there were no significant correlations between S100A14 expression and other clinicopathologic characteristics. Begg funnel plot and Egger test showed that no publication bias was detected. CONCLUSIONS: Our meta-analysis suggests that S100A14 overexpression might be a predictive biomarker for poor prognosis in patients with breast cancer and ovarian cancer. Large-scale studies are required to confirm these results. |
format | Online Article Text |
id | pubmed-6641819 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Wolters Kluwer Health |
record_format | MEDLINE/PubMed |
spelling | pubmed-66418192019-08-15 Prognostic and clinicopathological significance of S100A14 expression in cancer patients: A meta-analysis Hu, Lixia Kong, Fanliang Pan, Yueyin Medicine (Baltimore) Research Article BACKGROUND: The prognostic significance of S100A14 for survival of cancer patients remains controversial. Therefore, we conducted this meta-analysis to explore the association between S100A14 expression and cancer prognosis. METHOD: Eligible studies were identified by searching the online databases Pubmed and EMBASE up to August 2018. Odds ratios (ORs) with 95% confidence intervals (CIs) severed as the summarized statistics for clinicopathological assessments and hazard ratios (HRs) with 95% CIs were calculated to clarify the correlation between S100A14 expression and prognosis of different cancers. RESULTS: A total of 11 studies with 1651 cancer patients were enrolled. The results indicated that S100A14 expression was not significantly associated with overall survival (OS) in total various cancers (HR = 1.54, 95% CI:0.89–2.67, P = .121). Further subgroup analysis stratified by tumor type showed that elevated S100A14 expression was associated with poor OS in breast cancer (HR = 3.66, 95% CI: 1.75–7.62, P < .001) and in ovarian cancer patients (HR = 3.78, 95%CI: 1.63–8.73, P = .002). Interestingly, high S100A14 expression was correlated with poor tumor differentiation (OR = 2.51, 95% CI: 1.52–4.13, P < .001). However, there were no significant correlations between S100A14 expression and other clinicopathologic characteristics. Begg funnel plot and Egger test showed that no publication bias was detected. CONCLUSIONS: Our meta-analysis suggests that S100A14 overexpression might be a predictive biomarker for poor prognosis in patients with breast cancer and ovarian cancer. Large-scale studies are required to confirm these results. Wolters Kluwer Health 2019-07-12 /pmc/articles/PMC6641819/ /pubmed/31305429 http://dx.doi.org/10.1097/MD.0000000000016356 Text en Copyright © 2019 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nc-nd/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0 |
spellingShingle | Research Article Hu, Lixia Kong, Fanliang Pan, Yueyin Prognostic and clinicopathological significance of S100A14 expression in cancer patients: A meta-analysis |
title | Prognostic and clinicopathological significance of S100A14 expression in cancer patients: A meta-analysis |
title_full | Prognostic and clinicopathological significance of S100A14 expression in cancer patients: A meta-analysis |
title_fullStr | Prognostic and clinicopathological significance of S100A14 expression in cancer patients: A meta-analysis |
title_full_unstemmed | Prognostic and clinicopathological significance of S100A14 expression in cancer patients: A meta-analysis |
title_short | Prognostic and clinicopathological significance of S100A14 expression in cancer patients: A meta-analysis |
title_sort | prognostic and clinicopathological significance of s100a14 expression in cancer patients: a meta-analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6641819/ https://www.ncbi.nlm.nih.gov/pubmed/31305429 http://dx.doi.org/10.1097/MD.0000000000016356 |
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