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Case-control study of metabolic syndrome and ovarian cancer in Chinese population
BACKGROUND: Recent studies have proved metabolic syndrome (MetS) was linked to cancer risks. However, few data has examined the relationship between MetS and epithelial ovarian cancer (EOC). METHODS: We conducted a population-based case-control study in Tianjin Medical University Cancer Institute an...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5330115/ https://www.ncbi.nlm.nih.gov/pubmed/28261315 http://dx.doi.org/10.1186/s12986-017-0176-4 |
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author | Chen, Ying Zhang, Lei Liu, Wenxin Wang, Ke |
author_facet | Chen, Ying Zhang, Lei Liu, Wenxin Wang, Ke |
author_sort | Chen, Ying |
collection | PubMed |
description | BACKGROUND: Recent studies have proved metabolic syndrome (MetS) was linked to cancer risks. However, few data has examined the relationship between MetS and epithelial ovarian cancer (EOC). METHODS: We conducted a population-based case-control study in Tianjin Medical University Cancer Institute and Hospital, China (2010–2015) that enrolled 573 EOC patients and 1146 matched controls. Data were collected through in-person interviews, anthropometric measurement, and 8-h fasting bloods drawn. MetS was estimated by Chinese Diabetes Society (CDS) definition requiring presence of ≥3 of the following risk factors: 1) body mass index (BMI) ≥25.0 kg/m(2),2) fasting plasma glucose ≥6.1 mmol/L or 2-h plasma glucose ≥ 7.8 mmol/L, 3) systolic blood pressure ≥140 mmHg or diastolic blood pressure ≥90 mmHg, 4) triglyceride (TG) ≥1.70 mmol/L or high-density lipoprotein cholesterol (HDL-C) < 1.0 mmol/L. Statistics were completed using chi-square tests and logistic regression analysis. The survival analysis was conducted by the Kaplan-Meier method and Cox proportional hazard regression models. RESULTS: MetS was significantly more prevalent among EOC (25.13%) than controls (6.89%). A statistically significant increase risk for EOC was observed for MetS (multivariable-adjusted OR = 3.187; 95% CI: 2.135–4.756). MetS was significantly associated with histological grade (P < 0.001), FIGO stage (P = 0.003), and lymph node (LN) status (P = 0.002) of EOC. In binary logistic regression analysis, the presence of MetS predicts the risk of advanced FIGO stage (OR = 2.155, 95% CI: 1.327–3.498, P = 0.002), lower differentiation (OR = 2.472, 95% CI: 1.164–5.250, P = 0.019), and LN metastasis (OR = 2.590, 95% CI: 1.089–6.160, P = 0.031) of EOC. Moreover, MetS is the independent factor for the evaluation of PFS and OS of EOC patients (both of them P < 0.001) in Cox proportional hazard model. CONCLUSION: MetS is obviously related to increased EOC risk. EOC patients with MetS in Chinese population were found to have statistically significant tumor advanced stage, low differentiation, LN metastasis and poor prognosis. |
format | Online Article Text |
id | pubmed-5330115 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-53301152017-03-03 Case-control study of metabolic syndrome and ovarian cancer in Chinese population Chen, Ying Zhang, Lei Liu, Wenxin Wang, Ke Nutr Metab (Lond) Research BACKGROUND: Recent studies have proved metabolic syndrome (MetS) was linked to cancer risks. However, few data has examined the relationship between MetS and epithelial ovarian cancer (EOC). METHODS: We conducted a population-based case-control study in Tianjin Medical University Cancer Institute and Hospital, China (2010–2015) that enrolled 573 EOC patients and 1146 matched controls. Data were collected through in-person interviews, anthropometric measurement, and 8-h fasting bloods drawn. MetS was estimated by Chinese Diabetes Society (CDS) definition requiring presence of ≥3 of the following risk factors: 1) body mass index (BMI) ≥25.0 kg/m(2),2) fasting plasma glucose ≥6.1 mmol/L or 2-h plasma glucose ≥ 7.8 mmol/L, 3) systolic blood pressure ≥140 mmHg or diastolic blood pressure ≥90 mmHg, 4) triglyceride (TG) ≥1.70 mmol/L or high-density lipoprotein cholesterol (HDL-C) < 1.0 mmol/L. Statistics were completed using chi-square tests and logistic regression analysis. The survival analysis was conducted by the Kaplan-Meier method and Cox proportional hazard regression models. RESULTS: MetS was significantly more prevalent among EOC (25.13%) than controls (6.89%). A statistically significant increase risk for EOC was observed for MetS (multivariable-adjusted OR = 3.187; 95% CI: 2.135–4.756). MetS was significantly associated with histological grade (P < 0.001), FIGO stage (P = 0.003), and lymph node (LN) status (P = 0.002) of EOC. In binary logistic regression analysis, the presence of MetS predicts the risk of advanced FIGO stage (OR = 2.155, 95% CI: 1.327–3.498, P = 0.002), lower differentiation (OR = 2.472, 95% CI: 1.164–5.250, P = 0.019), and LN metastasis (OR = 2.590, 95% CI: 1.089–6.160, P = 0.031) of EOC. Moreover, MetS is the independent factor for the evaluation of PFS and OS of EOC patients (both of them P < 0.001) in Cox proportional hazard model. CONCLUSION: MetS is obviously related to increased EOC risk. EOC patients with MetS in Chinese population were found to have statistically significant tumor advanced stage, low differentiation, LN metastasis and poor prognosis. BioMed Central 2017-02-28 /pmc/articles/PMC5330115/ /pubmed/28261315 http://dx.doi.org/10.1186/s12986-017-0176-4 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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. |
spellingShingle | Research Chen, Ying Zhang, Lei Liu, Wenxin Wang, Ke Case-control study of metabolic syndrome and ovarian cancer in Chinese population |
title | Case-control study of metabolic syndrome and ovarian cancer in Chinese population |
title_full | Case-control study of metabolic syndrome and ovarian cancer in Chinese population |
title_fullStr | Case-control study of metabolic syndrome and ovarian cancer in Chinese population |
title_full_unstemmed | Case-control study of metabolic syndrome and ovarian cancer in Chinese population |
title_short | Case-control study of metabolic syndrome and ovarian cancer in Chinese population |
title_sort | case-control study of metabolic syndrome and ovarian cancer in chinese population |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5330115/ https://www.ncbi.nlm.nih.gov/pubmed/28261315 http://dx.doi.org/10.1186/s12986-017-0176-4 |
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