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1.
Lipid profile and risk of ovarian tumours: a meta-analysis.
Onwuka, JU, Okekunle, AP, Olutola, OM, Akpa, OM, Feng, R
BMC cancer. 2020;(1):200
Abstract
BACKGROUND Existing data from several reports on the association between lipid profile and ovarian tumour (OT) suggests divergent conclusions. Our aim was to examine whether circulating lipid profile: total cholesterol (TC), triglyceride (TG), high-density lipoprotein (HDL) and low-density lipoprotein (LDL) differed between cases and non-cases of OT. METHODS Electronic repositories; PUBMED, EMBASE and Cochrane library were explored through December 2019 to retrieve published articles for inclusion in the meta-analysis after quality assessment. Heterogeneity was assessed using I2 statistics, the effect of individual studies on the overall effect size was tested using sensitivity analysis and funnel plot was used to evaluate publication bias. RESULTS Twelve studies, involving 1767 OT cases and 229,167 non-cases of OT were included in this meta-analysis and I2 statistics ranged between 97 and 99%. Mean circulating TC (- 16.60 [- 32.43, - 0.77]mg/dL; P = 0.04) and HDL (- 0.25[- 0.43, - 0.08]mmol/L; P = 0.005) were significantly lower among OT cases compared to non-OT cases. CONCLUSION Decreased TC and HDL profiles were observed among subjects with OT in this collection of reports. The implications of TC and HDL in tumour manifestations and growth need to be validated in a large multi-ethnic longitudinal cohort adjusting for relevant confounders.
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Prognostic significance of preoperative prognostic nutritional index in ovarian cancer: A systematic review and meta-analysis.
Dai, Y, Liu, M, Lei, L, Lu, S
Medicine. 2020;(38):e21840
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Abstract
BACKGROUND The prognostic significance of preoperative prognostic nutritional index (PNI) in ovarian cancer (OC) is uncertain, and this study is aimed to clarify the prognostic significance. METHODS We used 4 common databases for conducting a systematic review and meta-analysis, and eligible studies were included in the analysis. The association of preoperative PNI with overall survival (OS), progression-free survival (PFS), and clinicopathological parameters was analyzed. RESULTS A total of 2050 patients with OC receiving the surgical treatment were analyzed in this study. Patients with low PNI tended to have a shorter OS (hazard ratio [HR] = 1.82, 95% CI = 1.30-2.55, P < .01) and PFS (HR = 1.91, 95% CI = 1.53-2.39, P < .01) compared with those with high PNI. Besides, low PNI was significantly associated with more advanced International Federation of Gynecology and Obstetrics stage (P < .01), the occurrence of ascites (P < .01), larger residual tumor (P < .01), insensitive to chemotherapy (P < .01), and higher CA125 (P < .01) compared with high PNI in OC. CONCLUSION Low preoperative PNI is associated with shorter OS, shorter PFS, and worse clinicopathological parameters in OC. Low preoperative PNI is an unfavorable prognostic indicator of patients with OC.
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Coffee and caffeine intake and risk of ovarian cancer: a systematic review and meta-analysis.
Shafiei, F, Salari-Moghaddam, A, Milajerdi, A, Larijani, B, Esmaillzadeh, A
International journal of gynecological cancer : official journal of the International Gynecological Cancer Society. 2019;(3):579-584
Abstract
BACKGROUND Results from earlier publications on the association of coffee and caffeine and risk of ovarian cancer are inconsistent. OBJECTIVE To evaluate the link between coffee, caffeine, caffeinated coffee, and decaffeinated coffee consumption and risk of ovarian cancer. METHODS We searched PubMed/Medline, ISI Web of Science, Scopus, and Google Scholar to identify relevant publications up to April 2018. All case-control studies that considered coffee, caffeine, caffeinated coffee, or decaffeinated coffee as the exposure variables and ovarian cancer as the main outcome variable or as one of the outcomes were included in the systematic review. Publications in which odds ratios (ORs) or rate or risk ratios (RRs) and 95% confidence intervals (CIs) were reported, were included in the meta-analysis. RESULTS A total of 22 case-control studies were included in the systematic review, and 20 studies in the meta-analysis. Overall, 40 140 participants, including 8568 patients with ovarian cancer, aged ≥ 17 years were included. Combining 21 effect sizes from 18 studies, no significant association was observed between total coffee intake and risk of ovarian cancer (OR=1.09; 95% CI 0.94 to 1.26). There was no significant association between total caffeine intake and ovarian cancer risk (OR=0.89; 95% CI 0.55 to 1.45). In addition, caffeinated coffee intake was not significantly associated with ovarian cancer (OR=1.05; 95% CI 0.87 to 1.28). However, combining effect sizes from five studies, we found an inverse significant association between decaffeinated coffee intake and risk of ovarian cancer (OR=0.72; 95% CI 0.58 to 0.90). CONCLUSIONS Our findings indicated an inverse association between decaffeinated coffee consumption and risk of ovarian cancer. No significant association was found between coffee, caffeine or caffeinated coffee intake and risk of ovarian cancer.
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Caffeine, Type of Coffee, and Risk of Ovarian Cancer: A Dose-Response Meta-Analysis of Prospective Studies.
Salari-Moghaddam, A, Milajerdi, A, Surkan, PJ, Larijani, B, Esmaillzadeh, A
The Journal of clinical endocrinology and metabolism. 2019;(11):5349-5359
Abstract
CONTEXT Prospective studies on caffeine and different types of coffee intake in relation to the risk of ovarian cancer have shown conflicting results. OBJECTIVE The aim of the present study was to perform a dose-response meta-analysis of cohort studies on the association between dietary caffeine intake, different types of coffee consumption, and the risk of ovarian cancer. DATA SOURCES PubMed/Medline, ISI Web of Science, Scopus, and EMBASE were searched to identify relevant studies reported until October 2018. STUDY SELECTION Prospective cohort studies that had considered caffeine or different types of coffee as the exposure variable and ovarian cancer as the main outcome variable or as one of the outcome variables were included in our systematic review and meta-analysis. Two of us independently screened 9344 publications. A total of 14 cohort studies were included in the meta-analysis. DATA EXTRACTION Two of us independently extracted the data. Any disagreements were resolved in consultation with the principal investigator. RESULTS Combining 13 effect sizes, we found no substantial association between coffee consumption and risk of ovarian cancer [risk ratio (RR), 1.08; 95% CI, 0.89 to 1.33]. Also, one additional cup daily of coffee consumption was marginally associated with an increased risk of ovarian cancer (RR, 1.02; 95% CI, 0.99 to 1.05; P = 0.21; I2 = 0.0%; Pheterogeneity = 0.68). No statistically significant association was observed between caffeine intake or caffeinated or decaffeinated coffee consumption and the risk of ovarian cancer. CONCLUSIONS We found no statistically significant association between caffeine intake or different types of coffee and the risk of ovarian cancer.
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Dietary Intake of Omega-3 fatty acids and Endocrine-related Gynecological Cancer: A Meta-Analysis of Observational Studies.
Hoang, T, Myung, SK, Pham, TT
Cancer research and treatment. 2019;(3):1022-1032
Abstract
PURPOSE Previous observational epidemiological studies have reported inconsistent findings on the association between dietary intake of omega-3 fatty acids and endocrine-related gynecological cancer such as ovarian cancer and endometrial cancer. This study aimed to investigate this association using a meta-analysis of observational studies. MATERIALS AND METHODS We searched PubMed, EMBASE, and Cochrane library by using key words related with the topic in April 2017. The pooled odd ratios (pORs), relative risks (pRRs), or hazard ratios (pHRs) with 95% confidence intervals (CIs) were calculated based on the random-effects model. Also, we performed subgroup meta-analysis by methodological quality, types of cancer, study design, and omega-3 fatty acids. RESULTS A total of ten observational studies with six case-control and four cohort studies were included in the final meta-analysis. In the meta-analysis of all the studies, dietary intake of total omega-3 fatty acids was not significantly associated with the risk of endometrial and ovarian cancers (pOR/HR, 0.87; 95% CI, 0.73-1.04; I2=67.2%) (highest versus lowest intake). In the subgroup meta-analysis by type of study, there was no significant association between them in cohort studies (pHR, 1.03; 95% CI, 0.63-1.67, I2=81.9%), whereas its reduced risk was observed in case-control studies (pOR, 0.81; 95% CI, 0.67 to 0.98, I2=55.7%). CONCLUSION The current meta-analysis of observational studies suggests that there is no higher level of evidence to support the protective effect of dietary omega-3 fatty acids on endocrine-related gynecological cancer. Further prospective studies should be conducted to confirm the association.
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Effects of lifestyle modification on cancer recurrence, overall survival and quality of life in gynaecological cancer survivors: A systematic review and meta-analysis.
Yeganeh, L, Harrison, C, Vincent, AJ, Teede, H, Boyle, JA
Maturitas. 2018;:82-89
Abstract
The benefits of lifestyle interventions for women who have survived gynaecological cancer (GC) remain unclear. This systematic review aimed to determine the effect of lifestyle interventions on cancer recurrence, overall survival and quality of life (QoL) in women with GC. We searched Medline, Embase, PsycINFO and EBM Reviews from June to July 2016 to identify relevant literature. We included randomized controlled trials in which a lifestyle intervention (diet, weight loss, physical activity and/or behavioural interventions) were compared with a control condition (usual care, placebo or other lifestyle interventions) in women who had survived endometrial or ovarian cancer. Primary outcomes included cancer recurrence and overall survival and the secondary outcome was QoL. Data extraction and risk-of-bias assessment were performed by two independent reviewers. A random-effects meta-analysis model was used to calculate mean differences (md) and 95% confidence intervals (CI). The literature search yielded 928 citations and three trials met the inclusion criteria. No randomized controlled trial assessed the effect of lifestyle interventions on cancer recurrence or survival. Meta-analysis of two randomized controlled trials on the effect of lifestyle interventions on total QoL at 3 or 6 months post-intervention showed no significant difference between intervention and control groups [(md; 1.60; 95% CI, -1.65 to 4.85) and (md; 2.07; 95% CI, -1.80 to 5.94), respectively]. That is, lifestyle intervention had no effect on overall QoL or individual QoL domains (physical, emotional, social wellbeing and fatigue) in GC survivors. Systematic review registration: PROSPERO CRD42016043719.
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Dietary fiber intake is associated with a reduced risk of ovarian cancer: a dose-response meta-analysis.
Xu, H, Ding, Y, Xin, X, Wang, W, Zhang, D
Nutrition research (New York, N.Y.). 2018;:1-11
Abstract
Dietary fiber may reduce the bioavailability of steroid hormones and favorably regulate insulin-like growth factor 1, and therefore may be associated with ovarian cancer risk. Current evidence on the association between dietary fiber intake and risk of ovarian cancer is inconsistent. Therefore, we conducted a meta-analysis to explore the association. We hypothesized that dietary fiber intake might be associated with a reduced risk of ovarian cancer. PubMed, Web of Science, Embase, China National Knowledge Infrastructure, and Wanfang databases were searched for relevant articles up to September 2017. Summary relative risks (RRs) with 95% confidence intervals (CIs) were calculated using random-effects model. Dose-response relationship was assessed by restricted cubic spline. A total of 19 studies involving 567 742 participants were included in this meta-analysis. The summary RR of the association between dietary fiber intake and ovarian cancer risk was 0.70 (95% CI, 0.57-0.87; I2 = 83.5%, Pheterogeneity < .001). In subgroup analyses, the above-mentioned significant inverse association was found among studies conducted in North America, case-control studies, and studies assessing the association of total fiber intake with ovarian cancer risk. Dose-response analysis suggested that ovarian cancer risk decreased by 3% (RR, 0.97; 95% CI, 0.95-0.99) for each 5-g/d increment in dietary fiber intake. This meta-analysis suggests that dietary fiber intake is associated with a reduced risk of ovarian cancer. Future intervention trials are needed to test the associations between different types of fiber (including soluble, insoluble, vegetable, fruit, cereal, and legumes fiber) and ovarian cancer risk.
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Do genetic polymorphisms of the vitamin D receptor contribute to breast/ovarian cancer? A systematic review and network meta-analysis.
Li, J, Li, B, Jiang, Q, Zhang, Y, Liu, A, Wang, H, Zhang, J, Qin, Q, Hong, Z, Li, BA
Gene. 2018;:211-227
Abstract
BACKGROUND To identify the most suitable genetic model for detecting the risk of breast cancer (BC)/ovarian cancer (OC) in specific populations. METHODS Databases were searched for related studies published up to October 2017. First, VDR genetic polymorphisms were compared in patients with and without cancer. Second, a network meta-analysis was used to reveal the relation between VDR genetic polymorphisms with disease outcomes. Subgroup analyses and a meta-regression were performed according to cancer types, ethnicity and genotypic method. The study is registered in PROSPERO with an ID: CRD42017075505. RESULTS Forty-five studies were eligible, which included 65,754 patients and 55 clinical analyses. Of genetic models, results suggested that the recessive model with the CDX2 polymorphism predicted the risk of BC in all cases. The recessive polymorphism model with the rs2228570 (FokI) polymorphism seemed to the best predictor of BC in Caucasian patients, whereas the homozygote model with the CDX2 polymorphism appeared to best predict BC in African-American patients. The homozygote model with the rs2228570 (FokI) polymorphism model appeared to detect the risk of OC in all cases, whereas the heterozygote model with the rs1544410 (BsmI) polymorphism seemed to detect the risk of OC in Caucasian patients. CONCLUSIONS By detecting the risk of BC, the recessive model with the rs2228570 (FokI) polymorphism is likely the best genetic model in Caucasian patients, and the homozygote model with the CDX2 polymorphism appears to be best genetic model in African-American patients. Moreover, for detecting clinical risk of OC, heterozygote models with the rs1544410 (BsmI) polymorphism is likely the best genetic model for detecting the risk of OC in Caucasian patients.
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Vitamin D receptor rs2228570 polymorphism and susceptibility to ovarian cancer: An updated meta-analysis.
Chen, H, Zhu, J
The journal of obstetrics and gynaecology research. 2018;(3):556-565
Abstract
AIM: The FokI polymorphism (C>T, rs2228570) of the vitamin D receptor gene is a coding nonsynonymous single nucleotide polymorphism in the translational initiation codon reported to have functional significance. Although the role of rs2228570 in the risk of ovarian cancer has been widely researched, the association is still unclear. We performed an updated meta-analysis to clarify this issue. METHODS Eligible studies were retrieved from electronic databases for the period 2007-2016. The association was measured by unadjusted odds ratio combined with 95% confidence intervals (CIs). Random-effect or fixed-effect models were used according to the heterogeneity of the studies. We further appreciated the strength of evidence according to Venice guidance. RESULTS Fourteen studies (4448 cases and 7242 controls) were included in the meta-analysis. Studies were predominantly conducted in Caucasian populations (4152 cases and 6693 controls). A dominant genetic model was determined to be the most appropriate genetic model. Overall meta-analysis showed a fixed-effect odds ratio of 1.14 (95% CI 1.05-1.23) under a dominant model. The fixed-effect odds ratios were 1.12 (95% CI 1.03-1.21) and 1.49 (95% CI 1.06-2.09) in Caucasian and Asian populations, respectively. The strength of the evidence was moderate. CONCLUSION The rs2228570 polymorphism increased the risk of ovarian cancer in Caucasian populations in a dominant genetic model. The role of this polymorphism in the risk of ovarian cancer in Asian populations should be further studied.
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Non-herbal tea consumption and ovarian cancer risk: a systematic review and meta-analysis of observational epidemiologic studies with indirect comparison and dose-response analysis.
Zhang, D, Kaushiva, A, Xi, Y, Wang, T, Li, N
Carcinogenesis. 2018;(6):808-818
Abstract
Ovarian cancer (OC) accounts for 4% of female malignancies worldwide, and its prognosis is unfavorable. Currently available epidemiologic data suggest that non-herbal tea consumption may reduce OC risk, but these evidences are inconsistent. A comprehensive literature search for observational epidemiologic studies reporting associations between non-herbal tea consumption and OC risk was conducted in electronic databases. A random-effects model was used to synthesize effect measures in binary meta-analysis, and adjusted indirect comparison was used to compare whether there was a difference in effects between green tea (GT) and black tea (BT). Both linear and non-linear models were used to explore the dose-response relationship. Fourteen studies were included, and we obtained an inverse and significant pooled estimate in binary meta-analysis [risk ratio (RR)pool = 0.76, 95% confidence interval (CI) 0.61-0.95, PCochran < 0.001, I2 = 81.5%]. No publication bias was identified in binary meta-analysis. In binary meta-analysis stratified by tea types, we observed a significant association for GT (RRpool = 0.64, 95% CI 0.45-0.90, PCochran = 0.071, I2 = 53.6%), but not BT (RRpool = 0.85, 95% CI 0.65-1.12, PCochran = 0.007, I2 = 65.9%). Indirect comparison, which treated BT as the reference, showed an inverse but non-significant association (RRGT versus BT = 0.74, 95% CI 0.48-1.15). Both linear and non-linear models found that OC risk decreased as the consumption levels of total non-herbal tea increased. However, the dose-response relationship was stronger for GT when compared with BT. Our results suggest that non-herbal tea, especially GT, is associated with a reduced risk of OC. Future studies should explore biochemical evidence regarding the variation in chemopreventive effects between different types of non-herbal tea.