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TNFAIP8 variants as potential epidemiological and predictive biomarkers in ovarian cancer
BACKGROUND: This research aimed to investigate the association between tumor necrosis factor-a-induced protein 8 (TNFAIP8) polymorphisms and ovarian cancer (OC) susceptibility. METHODS: A case–control study of 210 patients with OC and 231 healthy controls was conducted to assess the association betw...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7433149/ https://www.ncbi.nlm.nih.gov/pubmed/32821249 http://dx.doi.org/10.1186/s12935-020-01490-7 |
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author | Gao, Hongyu Zhang, Zhiran Jiang, Liangliang Zhang, Lei Qin, Ling Liu, Tianbo Yang, Shanshan |
author_facet | Gao, Hongyu Zhang, Zhiran Jiang, Liangliang Zhang, Lei Qin, Ling Liu, Tianbo Yang, Shanshan |
author_sort | Gao, Hongyu |
collection | PubMed |
description | BACKGROUND: This research aimed to investigate the association between tumor necrosis factor-a-induced protein 8 (TNFAIP8) polymorphisms and ovarian cancer (OC) susceptibility. METHODS: A case–control study of 210 patients with OC and 231 healthy controls was conducted to assess the association between TNFAIP8 polymorphisms (rs11064, rs1045241, and rs1045242) and OC risk in Heilongjiang Province of China. The SNaPshot SNP assay was conducted to detect SNP genotype. Logistic regression analysis was applied to illustrate the underlying association. RESULTS: Our research found that TNFAIP8 rs11064 and rs1045242 were significantly connected with the susceptibility of OC. Additionally, rs1045242 increased the risk of OC, while rs11064 performed a protective role in the risk of OC. Data revealed that rs1045242 strongly related with advanced FIGO stage, larger residual tumor, and the presence of recurrence. CONCLUSIONS: TNFAIP8 genetic variants, which may play difference roles, were significantly associated with OC susceptibility. The underlying molecular mechanism needs be clarified with scientific evidence. |
format | Online Article Text |
id | pubmed-7433149 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-74331492020-08-19 TNFAIP8 variants as potential epidemiological and predictive biomarkers in ovarian cancer Gao, Hongyu Zhang, Zhiran Jiang, Liangliang Zhang, Lei Qin, Ling Liu, Tianbo Yang, Shanshan Cancer Cell Int Primary Research BACKGROUND: This research aimed to investigate the association between tumor necrosis factor-a-induced protein 8 (TNFAIP8) polymorphisms and ovarian cancer (OC) susceptibility. METHODS: A case–control study of 210 patients with OC and 231 healthy controls was conducted to assess the association between TNFAIP8 polymorphisms (rs11064, rs1045241, and rs1045242) and OC risk in Heilongjiang Province of China. The SNaPshot SNP assay was conducted to detect SNP genotype. Logistic regression analysis was applied to illustrate the underlying association. RESULTS: Our research found that TNFAIP8 rs11064 and rs1045242 were significantly connected with the susceptibility of OC. Additionally, rs1045242 increased the risk of OC, while rs11064 performed a protective role in the risk of OC. Data revealed that rs1045242 strongly related with advanced FIGO stage, larger residual tumor, and the presence of recurrence. CONCLUSIONS: TNFAIP8 genetic variants, which may play difference roles, were significantly associated with OC susceptibility. The underlying molecular mechanism needs be clarified with scientific evidence. BioMed Central 2020-08-17 /pmc/articles/PMC7433149/ /pubmed/32821249 http://dx.doi.org/10.1186/s12935-020-01490-7 Text en © The Author(s) 2020 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/. The Creative Commons Public Domain Dedication waiver (http://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 | Primary Research Gao, Hongyu Zhang, Zhiran Jiang, Liangliang Zhang, Lei Qin, Ling Liu, Tianbo Yang, Shanshan TNFAIP8 variants as potential epidemiological and predictive biomarkers in ovarian cancer |
title | TNFAIP8 variants as potential epidemiological and predictive biomarkers in ovarian cancer |
title_full | TNFAIP8 variants as potential epidemiological and predictive biomarkers in ovarian cancer |
title_fullStr | TNFAIP8 variants as potential epidemiological and predictive biomarkers in ovarian cancer |
title_full_unstemmed | TNFAIP8 variants as potential epidemiological and predictive biomarkers in ovarian cancer |
title_short | TNFAIP8 variants as potential epidemiological and predictive biomarkers in ovarian cancer |
title_sort | tnfaip8 variants as potential epidemiological and predictive biomarkers in ovarian cancer |
topic | Primary Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7433149/ https://www.ncbi.nlm.nih.gov/pubmed/32821249 http://dx.doi.org/10.1186/s12935-020-01490-7 |
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