Impact of Estrogen Receptor Expression on Prognosis of Ovarian Cancer According to Antibody Clone Used for Immunohistochemistry: A Meta-analysis

2021 ◽  
Author(s):  
Chun Wai Ng ◽  
Kwong-kwok Wong
Keyword(s):  
Ovarian Cancer ◽  
Estrogen Receptor ◽  
Random Effects ◽  
Fixed Effects ◽  
Meta Analysis ◽  
Receptor Expression ◽  
Cancer Prognosis ◽  
Ovarian Cancer Prognosis ◽  
The Impact ◽  
Er Expression

Abstract BackgroundThe prognostic value of the expression of estrogen receptor (ER) subtypes ER⍺ and ERβ in ovarian cancer has previously been evaluated by meta-analyses. However, the results are contradictory and controversial. MethodsWe conducted an updated meta-analysis with stringent inclusion criteria to ensure homogeneous studies to determine the effect of ER subtypes on ovarian cancer prognosis. Articles were retrieved by systematic search of PubMed and Web of Science for articles dated up to June 2021. Only studies with known hazard ratio (HR) and antibody clone for immunochemistry (IHC) were included. Pooled HRs with the corresponding 95% confidence intervals (CIs) were calculated for the effect of ER⍺ and ERβ expression on ovarian cancer patient progression-free survival (PFS) and overall survival (OS).ResultsA total of 17 studies were included, of which 11 and 13 studies examined the relationships between ER⍺ expression and PFS and OS, respectively, and 5 and 7 studies examined the relationships between ERβ expression and PFS and OS, respectively. Neither ER⍺ expression (random-effects model; HR=0.99, 95% CI=0.83-1.18) nor ERβ expression (fixed-effects model; HR=0.94, 95% CI=0.69-1.27) was associated with PFS. Random-effects models showed that ER⍺ expression (HR=0.81, 95% CI=0.64-1.02) and ERβ expression (HR=0.75, 95% CI=0.50-1.13) were only marginally and not significantly associated with better OS. Subgroup analysis revealed that ER⍺ expression determined using antibody clone 1D5 (HR=0.75, 95% CI=0.64-0.88) and ERβ expression determined using ERβ1-specific-antibody clone PPG5/10 or EMR02 (HR=0.65, 95% CI=0.50-0.86) were associated with significantly better OS, but ER expression determined using other antibodies was not.ConclusionsBoth ER⍺ expression and ERβ expression determined using certain antibody clones are significantly associated with OS of ovarian cancer patients, which suggests that both ER subtypes are prognostic biomarkers for ovarian cancer. The findings of this study provide new insight into the impact of ER expression on ovarian cancer prognosis.

scholarly journals Prognostic value of HE4 in patients with ovarian cancer

2018 ◽  
Vol 56 (7) ◽  
pp. 1026-1034 ◽  
Author(s):  
Cunzhong Yuan ◽  
Rongrong Li ◽  
Shi Yan ◽  
Beihua Kong
Keyword(s):  
Ovarian Cancer ◽  
Random Effects ◽  
Fixed Effects ◽  
Large Scale ◽  
Meta Analysis ◽  
Serum Levels ◽  
Medical Community ◽  
Random Effects Model ◽  
Poor Overall Survival ◽  
Preoperative Serum

Abstract Background There is no consensus in the medical community about the prognostic role of preoperative serum levels of human epididymis protein 4 (HE4) in ovarian cancer (OC). The purpose of this meta-analysis was to establish whether preoperative serum levels of HE4 are associated with OC prognosis. Content Eligible studies were searched for in PubMed, ClinicalTrials.gov, CNKI and Wanfang Med Online. We performed a meta-analysis of 1315 OC cases from 14 published articles. Summary Our meta-analysis demonstrated that high HE4 was associated with poor overall survival (OS) (random effects model, hazard ratio [HR]=1.91, 95% confidence interval [CI]=1.40–2.614, p<0.0001; I2=52%, p=0.04) and; progression-free survival (PFS) (random effects model, HR=1.38, 95% CI=1.13–1.69, p=0.002; I2=85%, p<0.00001). However, subgroup analysis showed that high HE4 was not associated with poor OS (fixed effects model, HR=1.86, 95% CI=0.89–3.89, p=0.1; I2=34%, p=0.22) or PFS (random effects model, HR=1.34, 95% CI=0.95–1.88, p=0.1; I2=69%, p=0.007) for studies including only Asian populations. Outlook In conclusion, this meta-analysis shows that high HE4 was associated with poor OC OS and PFS overall. However, the association of high HE4 with poor OS and PFS was not observed for Asians. Large-scale, multi-center investigations should be performed.

scholarly journals The relationship between time to surgery after neoadjuvant chemotherapy and survival in breast cancer patients:a meta-analysis

2020 ◽  
Author(s):  
YongCheng Su ◽  
XiaoGang Zheng
Keyword(s):  
Neoadjuvant Chemotherapy ◽  
Random Effects ◽  
Fixed Effects ◽  
Meta Analysis ◽  
Disease Free Survival ◽  
Significant Heterogeneity ◽  
Fixed Effects Model ◽  
Free Survival ◽  
The Impact ◽  
The Relationship

Abstract PURPOSE: This meta-analysis aims to evaluate the impact of delaying surgery in operable breast tumor patients after neoadjuvant chemotherapy (NAC) on survival. METHODS:An electronic literature retrieval was conducted on PubMed/Medline and EMBASE((between January 2000 and June 2020).The primary end point was overall survival(OS),secondary end points included disease-free survival (DFS) or recurence-free survival (RFS).The HR with 95% confidence intervals were calculated using a random-effects or fixed-effects model. RESULTS:The combined HR for OS was 1.51 (95% CI:1.30-1.76; P=0.000) by fixed effects model.No statistically significant heterogeneity was found (P=0.168, I 2 =31.3%).The pooled HR for RFS/DFS was 1.59 (95%CI:1.30-1.95,I 2 = 66.0%) by random-effects model,with significant heterogeneity. CONCLUSION:Our meta-analysis revealed a significant adverse association between longer TTS after NAC and more inferior OS and RFS/DFS in patients with breast cancer.Clinicians and patients should minimize surgical delay after NAC as much as possible.

scholarly journals Comparison of efficacy of robotic surgery, laparoscopy, and laparotomy in the treatment of ovarian cancer: a meta-analysis

2019 ◽  
Vol 17 (1) ◽  
Author(s):  
Can Shi ◽  
Yingchun Gao ◽  
Yijun Yang ◽  
Lei Zhang ◽  
Juanpeng Yu ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Robotic Surgery ◽  
Publication Bias ◽  
Random Effects ◽  
Fixed Effects ◽  
Meta Analysis ◽  
Cochrane Library ◽  
Random Effects Model ◽  
Fixed Effects Model ◽  
Estimated Blood Loss

Abstract Background We intended to compare the clinical effect of robotic surgery with laparoscopy and laparotomy in ovarian cancer treatment. Methods The included studies were retrieved from PubMed, Embase, and the Cochrane Library databases. The Methodological Index for Nonrandomized Studies (MINORS) was used to evaluate the study quality. Effect measures were presented with weighted mean difference (WMD)/odds ratio (OR) and 95% confidence interval (CI), and heterogeneity test was assessed using Q test and I2 statistics to determine the use of the random effects model or fixed effects model. Egger’s test was used to assess the publication bias. Results A total of eight studies was included in this meta-analysis with a MINORS score of 16–18. In the random effects model, estimated blood loss (EBL) of robotic surgery was significantly less compared with laparotomy (WMD = − 521.7027, 95% CI − 809.7816; − 233.6238). In the fixed effects model, length of hospital stay (LHS) (WMD = − 5.2225, 95% CI − 6.1485; − 4.2965) and postoperative complication (PC) (OR = 0.4710, 95% CI 0.2537; 0.8747) of robotic surgery were significantly less, and overall survival (OS) rate (OR = 6.4355, 95% CI 1.6722; 24.7678, P = 0.0070) of robotic surgery was significantly higher compared with laparotomy. There was no difference in the effect size of all variables between robotic surgery and laparoscopy. Meanwhile, a publication bias (t = 6.8290, P = 0.002405) was only identified for PC in robotic surgery and laparotomy groups; no publication bias was identified for the other variables. Conclusions Despite the above results, it failed to show oncological safety and recurrence by pathological stages or histologic types in this meta-analysis, and those confounding factors might affect the clinical outcome. Future meta-analyses with a larger number of eligible randomized controlled trial studies were needed to determine the most suitable treatment method for patients with different stages and types of ovarian cancer.

Glutathione S-transferase M1, T1, and P1 Polymorphisms and Ovarian Cancer Risk: A Meta-Analysis

2010 ◽  
Vol 20 (5) ◽  
pp. 732-737 ◽  
Author(s):  
Konstantinos P. Economopoulos ◽  
Theodoros N. Sergentanis ◽  
Nikos F. Vlahos
Keyword(s):  
Ovarian Cancer ◽  
Cancer Risk ◽  
Confidence Interval ◽  
Random Effects ◽  
Fixed Effects ◽  
Meta Analysis ◽  
Ovarian Cancer Risk ◽  
Case Control Studies ◽  
Increased Risk ◽  
Gstp1 Ile105val

Introduction:Cytosolic glutathione S-transferase (GST) comprises multiple isoenzymes that catalyze reactions between glutathione and lipophilic compounds with electrophilic centers, resulting in the neutralization of toxic compounds, xenobiotics, and products of oxidative stress. Several studies have examined whether GST polymorphisms (GSTM1 null/present genotype, GSTT1 null/present genotype, and GSTP1 Ile105Val) represent risk factors for ovarian cancer, as they all may denote reduced enzyme activity. This meta-analysis aimed to examine the associations between the aforementioned polymorphisms and ovarian cancer risk.Methods:The MEDLINE database was searched up to September 2009 using the appropriate terms. Case-control studies with no mutually overlapping populations were selected. Pooled odds ratios (ORs) were appropriately derived from fixed-effects or random-effects models. Meta-regression with publication year was also performed.Results:Eight studies regarding GSTM1 null polymorphism status (2357 cases and 3044 controls), 6 studies concerning GSTT1 null polymorphism (1923 cases and 2759 controls), and 3 studies on GSTP1 Ile105Val were included in the meta-analysis. The GSTM1 null genotype was not associated with an increased risk for ovarian cancer (pooled OR, 1.031; 95% confidence interval, 0.867-1.226; random effects). The GSTT1 null genotype was not associated with an increased ovarian cancer risk (pooled OR, 0.934; 95% confidence interval, 0.804-1.086; random effects); similarly, no significant associations were demonstrated for GSTP1 Ile105Val.Conclusions:The examined GSTM1, GSTT1, and GSTP1 genotype polymorphisms do not seem to confer any additional risk for ovarian cancer. Given that the studies included in this meta-analysis involve mainly white populations, these results cannot be extrapolated on other populations, and additional data are needed for future race-specific analyses.

The relationship between time to surgery(TTS) after neoadjuvant chemotherapy (NAC)and survival in breast cancer patients: meta-analysis

2020 ◽  
Author(s):  
YongCheng Su ◽  
XiaoGang Zheng
Keyword(s):  
Neoadjuvant Chemotherapy ◽  
Random Effects ◽  
Fixed Effects ◽  
Meta Analysis ◽  
Disease Free Survival ◽  
Significant Heterogeneity ◽  
Breast Cancer Patients ◽  
Free Survival ◽  
The Impact ◽  
The Relationship

Abstract PURPOSE: This meta-analysis aims to evaluate the impact of delaying surgery in operable breast tumor patients after neoadjuvant chemotherapy (NAC) on survival.METHODS: An electronic literature retrieval was conducted on PubMed/Medline and EMBASE((between January 2000 and June 2020).The primary end point was overall survival(OS),secondary end points included disease-free survival (DFS) or recurrence-free survival (RFS).The HR with 95% confidence intervals were calculated using a random-effects or fixed-effects model.RESULTS: The combined HR for OS was 1.52(95% CI 1.29-1.78; P = 0.000) by fixed-effects model.No statistically significant heterogeneity was found (P=0.114;I2=39.8%).The pooled HR for RFS/DFS was 1.47 (95%CI: 1.27- 1.71,I2=61.9%) by random-effects model, with significant heterogeneity.CONCLUSION: Our meta-analysis revealed a significant adverse association between longer TTS after NAC and more inferior OS and RFS/DFS in patients with breast cancer.Clinicians and patients should minimize surgical delay after NAC as much as possible.

scholarly journals Correlation between estrogen receptor expression and prognosis in epithelial ovarian cancer: a meta-analysis

Oncotarget ◽  
2017 ◽  
Vol 8 (37) ◽  
pp. 62400-62413 ◽  
Author(s):  
Zhaojun Shen ◽  
Hui Luo ◽  
Saisai Li ◽  
Bo Sheng ◽  
Menghuang Zhao ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Estrogen Receptor ◽  
Epithelial Ovarian Cancer ◽  
Meta Analysis ◽  
Receptor Expression ◽  
Estrogen Receptor Expression

scholarly journals Association of bisphenol A with puberty timing: a meta-analysis

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Hui Meng ◽  
Yunping Zhou ◽  
Yunxia Jiang
Keyword(s):  
Bisphenol A ◽  
Confidence Intervals ◽  
Random Effects ◽  
Strong Correlation ◽  
Fixed Effects ◽  
Meta Analysis ◽  
Random Effects Models ◽  
Study Heterogeneity ◽  
The Relationship ◽  
Prevalence Ratios

AbstractObjectivesThe results of existing studies on bisphenol A (BPA) and puberty timing did not reach a consensus. Thereby we performed this meta-analytic study to explore the association between BPA exposure in urine and puberty timing.MethodsMeta-analysis of the pooled odds ratios (OR), prevalence ratios (PR) or hazards ratios (HR) with 95% confidence intervals (CI) were calculated and estimated using fixed-effects or random-effects models based on between-study heterogeneity.ResultsA total of 10 studies involving 5621 subjects were finally included. The meta-analysis showed that BPA exposure was weakly associated with thelarche (PR: 0.96, 95% CI: 0.93–0.99), while no association was found between BPA exposure and menarche (HR: 0.99, 95% CI: 0.89–1.12; OR: 1.02, 95% CI: 0.73–1.43), and pubarche (OR: 1.00, 95% CI: 0.79–1.26; PR: 1.00, 95% CI: 0.95–1.05).ConclusionsThere was no strong correlation between BPA exposure and puberty timing. Further studies with large sample sizes are needed to verify the relationship between BPA and puberty timing.

scholarly journals Coenzyme Q10 supplementation for prophylaxis in adult patients with migraine—a meta-analysis

BMJ Open ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. e039358
Author(s):  
Suhairul Sazali ◽  
Salziyan Badrin ◽  
Mohd Noor Norhayati ◽  
Nur Suhaila Idris
Keyword(s):  
Random Effects ◽  
Coenzyme Q10 ◽  
Migraine Headache ◽  
Meta Analysis ◽  
Adult Patients ◽  
Control Group ◽  
Cochrane Central Register ◽  
Statistical Heterogeneity ◽  
Coq10 Supplementation ◽  
The Impact

ObjectiveTo determine the effects of coenzyme Q10 (CoQ10) for reduction in the severity, frequency of migraine attacks and duration of headache in adult patients with migraine.DesignSystematic review and meta-analysis.Data sourcesCochrane Central Register of Controlled Trials, CENTRAL, MEDLINE, EMBASE, Cumulative Index to Nursing and Allied Health Literature (CINAHL) and Psychological Information Database (PsycINFO) from inception till December 2019.Study selectionAll randomised control trials comparing CoQ10 with placebo or used as an adjunct treatment included in this meta-analysis. Cross-over designs and controlled clinical trials were excluded.Data synthesisHeterogeneity at face value by comparing populations, settings, interventions and outcomes were measured and statistical heterogeneity was assessed by means of the I2 statistic. The treatment effect for dichotomous outcomes were using risk ratios and risk difference, and for continuous outcomes, mean differences (MDs) or standardised mean difference; both with 95% CIs were used. Subgroup analyses were carried out for dosage of CoQ10 and if CoQ10 combined with another supplementation. Sensitivity analysis was used to investigate the impact risk of bias for sequence generation and allocation concealment of included studies.ResultsSix studies with a total of 371 participants were included in the meta-analysis. There is no statistically significant reduction in severity of migraine headache with CoQ10 supplementation. CoQ10 supplementation reduced the duration of headache attacks compared with the control group (MD: −0.19; 95% CI: −0.27 to −0.11; random effects; I2 statistic=0%; p<0.00001). CoQ10 usage reduced the frequency of migraine headache compared with the control group (MD: −1.52; 95% CI: −2.40 to −0.65; random effects; I2 statistic=0%; p<0.001).ConclusionCoQ10 appears to have beneficial effects in reducing duration and frequency of migraine attack.PROSPERO registration numberCRD42019126127.

The relationship between migraine and infant colic: A systematic review and meta-analysis

Cephalalgia ◽  
2014 ◽  
Vol 35 (1) ◽  
pp. 63-72 ◽  
Author(s):  
Amy A Gelfand ◽  
Peter J Goadsby ◽  
I Elaine Allen
Keyword(s):  
Systematic Review ◽  
Random Effects ◽  
Odds Ratio ◽  
Fixed Effects ◽  
Meta Analysis ◽  
Random Effects Model ◽  
Fixed Effects Model ◽  
Primary Analysis ◽  
Infant Colic ◽  
The Relationship

Context Infant colic is a common and distressing disorder of early infancy. Its etiology is unknown, making treatment challenging. Several articles have suggested a link to migraine. Objective The objective of this article was to perform a systematic review and, if appropriate, a meta-analysis of the studies on the relationship between infant colic and migraine. Data sources Studies were identified by searching PubMed and ScienceDirect and by hand-searching references and conference proceedings. Study selection For the primary analysis, studies specifically designed to measure the association between colic and migraine were included. For the secondary analysis, studies that collected data on colic and migraine but were designed for another primary research question were also included. Data extraction Data were abstracted from the original studies, through communication with study authors, or both. Two authors independently abstracted data. Main outcomes and measures The main outcome measure was the association between infant colic and migraine using both a fixed-effects model and a more conservative random-effects model. Results Three studies were included in the primary analysis; the odds ratio for the association between migraine and infant colic was 6.5 (4.6–8.9, p < 0.001) for the fixed-effects model and 5.6 (3.3–9.5, p = 0.004) for the random-effects model. In a sensitivity analysis wherein the study with the largest effect size was removed, the odds ratio was 3.6 (95% CI 1.7–7.6, p = 0.001) for both the fixed-effects model and random-effects model. Conclusions In this meta-analysis, infant colic was associated with increased odds of migraine. If infant colic is a migrainous disorder, this would have important implications for treatment. The main limitation of this meta-analysis was the relatively small number of studies included.

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