Association between multiple sclerosis and cancer risk: An extensive review/meta and Mendelian randomization analyses

医学 孟德尔随机化 内科学 荟萃分析 乳腺癌 癌症 肿瘤科 入射(几何) 人口 多发性硬化 肺癌 免疫学 基因型 化学 生物化学 物理 光学 基因 环境卫生 遗传变异
作者
Qiangzhao Liu,Jian Kang,Yongsheng Yin,Jinling Zhang,Qiong Lian,Fenghai Zhou
出处
期刊:Multiple sclerosis and related disorders [Elsevier]
卷期号:76: 104798-104798 被引量:1
标识
DOI:10.1016/j.msard.2023.104798
摘要

Observational investigations examining cancer risk among multiple sclerosis (MS) patients have produced contradictory findings. Herein, we performed an extensive review and meta-analysis to evaluate the correlation and causation between MS and cancer incidence.We systematically screened for published articles examining cancer incidences among MS patients within the Cochrane Library, PubMed, and Embase databases. Next, we employed STATA v.16.0 for data analysis. Following meta-analysis, we performed a two-sample Mendelian randomization (MR) analysis to uncover the underlying mechanism behind the MS-mediated regulation of certain cancers.Overall, we selected 18 articles encompassing 14 individual cancers incidences and a total of 368,952 patients for meta-analysis. Based on our analysis, there was reduced pancreatic (ES = 0.68; 95% CI: 0.49-0.93; I 2 = 0%) and ovarian cancer (ES = 0.65; 95% CI: 0.53-0.80; I 2 = 86.7%) co-occurrences among MS patients. Meanwhile, the incidences of breast (ES = 1.10; 95% CI: 1.01-1.21; I 2 = 60.9%) and brain cancers (ES = 1.94; 95% CI: 1.12-3.37; I 2 = 56.1%) were elevated among the same population. However, MR analysis revealed the opposite relation between MS and breast cancer risk (OR = 0.94392; 95% CI: 0.91011-0.97900, P = 0.002). Moreover, it revealed strong incidence of lung cancer (OR = 1.0004; 95% CI: 1.0001-1.0083, P = 0.001) among MS patients, as evidenced by the inverse variance weighting estimator. Lastly, MR found that other forms of cancers were not significantly related to MS.Using meta-analysis, we demonstrated that MS patients exhibited enhanced pancreatic and ovarian cancer risk, and diminished breast and brain cancer risk. However, using MR analysis, we discovered an inverse relation between MS and breast cancer risk, and additionally saw an uptick in lung cancer co-occurrence among MS patients.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
k7应助快乐滑板采纳,获得10
2秒前
假行僧发布了新的文献求助10
2秒前
2秒前
Wyoou完成签到,获得积分10
3秒前
3秒前
3秒前
故意的傲玉应助lll采纳,获得10
3秒前
4秒前
请叫我风吹麦浪应助lm采纳,获得10
4秒前
4秒前
4秒前
5秒前
科研通AI5应助水獭采纳,获得10
6秒前
6秒前
6秒前
研友_nv2r4n发布了新的文献求助10
7秒前
喵叽发布了新的文献求助10
7秒前
槐夏完成签到,获得积分10
7秒前
8秒前
科研通AI5应助su采纳,获得10
8秒前
8秒前
科目三应助MJQ采纳,获得30
8秒前
8秒前
慕子发布了新的文献求助20
9秒前
lumangxiaozi完成签到,获得积分10
9秒前
积极的凌波完成签到,获得积分10
9秒前
xiaxiao应助小小酥采纳,获得100
9秒前
523完成签到,获得积分10
9秒前
9秒前
10秒前
11秒前
11秒前
Hupoo发布了新的文献求助10
11秒前
传奇3应助冬瓜有内涵呐采纳,获得10
11秒前
11秒前
酷波er应助科研通管家采纳,获得10
12秒前
SciGPT应助科研通管家采纳,获得10
12秒前
顾矜应助科研通管家采纳,获得10
12秒前
Aurora发布了新的文献求助10
12秒前
12秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527723
求助须知:如何正确求助?哪些是违规求助? 3107826
关于积分的说明 9286663
捐赠科研通 2805577
什么是DOI,文献DOI怎么找? 1539998
邀请新用户注册赠送积分活动 716878
科研通“疑难数据库(出版商)”最低求助积分说明 709762