Estradiol and testosterone associated with risk of breast cancer: A meta-analysis.

IF 2 4区 医学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Yanqing Liu, Yujuan Kang, Xiaofei Li, Nina Qu
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引用次数: 0

Abstract

Background: This paper aimed to investigate the correlation between estradiol and testosterone in patients with breast cancer.

Methods: The research papers on the correlation between estradiol and testosterone on the risk of breast cancer were searched and collected. The time limit is that each database was established until December 2023. After screening, the modified Jadad scale was used to evaluate the quality of the research literature. NoteExpress 3.2 was used for literature management, and Excel 2003 was used for data collection and extraction. Statistical analysis was performed using RevMan 5.4.1 software to determine whether there was heterogeneity in the study according to the size of the Q test (P-value), and then the OR value of combined effects was calculated using fixed or random effects models, and forest maps were drawn. At the same time, papers with the greatest weight were excluded for sensitivity analysis, and the literature bias was evaluated by drawing a funnel plot.

Results: A total of 628 pieces of research were retrieved, and 11 case-control trials met the criteria for inclusion. Meta-analysis results showed that the level of E2 in breast cancer patients was higher than that in the non-breast cancer control group, but the difference was not statistically significant (OR=121.56, 95%CI (-3.32-264.44), P=0.06). The level of E2 in premenopausal patients with breast cancer was higher than that in the non-breast cancer control group, but the difference was not statistically significant (OR=8.26, 95%CI (-2.83-19.34), P=0.14). The level of E2 in postmenopausal patients with breast cancer was higher than that in the non-breast cancer control group, and the difference was statistically significant (OR=20.36, 95%CI (7.04-33.68), P=0.003). Preoperative T level was higher in patients with breast cancer than in the non-breast cancer control group, but the difference was not statistically significant (OR=14.77, 95%CI (-14.11-43.65), P=0.32). The T level before and after surgery in breast cancer patients was higher than that in the non-breast cancer control group, and the difference was statistically significant (OR=12.91, 95%CI (4.43-21.39), P=0.003). Sensitivity analysis showed that the combined effect size results were stable and reliable OR (95%CI) was 24.41 (10.21~38.61), P=0.0007. Funnel plot results showed publication bias.

Conclusions: There is a positive correlation between the levels of estradiol and testosterone and the occurrence and development of breast cancer after menopause.

雌二醇和睾酮与乳腺癌风险相关:一项荟萃分析。
背景:本文旨在探讨乳腺癌患者雌二醇与睾酮的相关性。方法:检索和收集有关雌二醇、睾酮与乳腺癌发病风险相关性的研究文献。时间限制是每个数据库建立到2023年12月。筛选后,采用改良的Jadad量表评价研究文献的质量。采用NoteExpress 3.2进行文献管理,采用Excel 2003进行数据收集和提取。采用RevMan 5.4.1软件进行统计分析,根据Q检验(p值)的大小判断研究是否存在异质性,然后采用固定效应或随机效应模型计算组合效应的OR值,绘制森林图。同时,排除权重最大的论文进行敏感性分析,绘制漏斗图评价文献偏倚。结果:共检索到628篇研究,11项病例对照试验符合纳入标准。meta分析结果显示,乳腺癌患者E2水平高于非乳腺癌对照组,但差异无统计学意义(OR=121.56, 95%CI (-3.32-264.44), P=0.06)。绝经前乳腺癌患者E2水平高于非乳腺癌对照组,但差异无统计学意义(OR=8.26, 95%CI (-2.83 ~ 19.34), P=0.14)。绝经后乳腺癌患者E2水平高于非乳腺癌对照组,差异有统计学意义(OR=20.36, 95%CI (7.04-33.68), P=0.003)。乳腺癌患者术前T水平高于非乳腺癌对照组,但差异无统计学意义(OR=14.77, 95%CI (-14.11-43.65), P=0.32)。乳腺癌患者手术前后T水平均高于非乳腺癌对照组,差异有统计学意义(OR=12.91, 95%CI (4.43 ~ 21.39), P=0.003)。敏感性分析显示,综合效应大小结果稳定可靠,OR (95%CI)为24.41 (10.21~38.61),P=0.0007。漏斗图结果显示发表偏倚。结论:绝经后女性雌激素、睾酮水平与乳腺癌的发生发展呈正相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Medical Biochemistry
Journal of Medical Biochemistry BIOCHEMISTRY & MOLECULAR BIOLOGY-
CiteScore
3.00
自引率
12.00%
发文量
60
审稿时长
>12 weeks
期刊介绍: The JOURNAL OF MEDICAL BIOCHEMISTRY (J MED BIOCHEM) is the official journal of the Society of Medical Biochemists of Serbia with international peer-review. Papers are independently reviewed by at least two reviewers selected by the Editors as Blind Peer Reviews. The Journal of Medical Biochemistry is published quarterly. The Journal publishes original scientific and specialized articles on all aspects of clinical and medical biochemistry, molecular medicine, clinical hematology and coagulation, clinical immunology and autoimmunity, clinical microbiology, virology, clinical genomics and molecular biology, genetic epidemiology, drug measurement, evaluation of diagnostic markers, new reagents and laboratory equipment, reference materials and methods, reference values, laboratory organization, automation, quality control, clinical metrology, all related scientific disciplines where chemistry, biochemistry, molecular biology and immunochemistry deal with the study of normal and pathologic processes in human beings.
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