解读氧化应激和肺癌风险之间的双向因果关系,通过门德尔的随机化
XueLian Chen1, JianRong Zeng1, FengYun Cao1
1Department of Oncology, Suining City Traditional Chinese Medicine Hospital, Suining, Sichuan, China.
Discover oncology
|July 28, 2025
概括
氧化应激损伤生物标志物 (OSIBs) 在肺癌发展中发挥着独特的作用. 这项研究使用了门德尔的随机化来发现,较高的白蛋白可能会降低腺癌风险,而高的单不和脂肪酸和乳酸与其他类型的肺癌风险增加有关.
科学领域:
- 在瘤学瘤学.
- 遗传学 是一个遗传学.
- 生物化学 生物化学
背景情况:
- 肺癌是全球癌症死亡的主要原因之一.
- 对于晚期肺癌,低于最佳的生存率需要新的预防策略.
- 氧化应激 (OS),反应性氧物种 (ROS) 和抗氧化剂的不平衡,与肺癌的发病有关.
研究的目的:
- 调查基因预测的氧化应激损伤生物标志物 (OSIB) 和肺癌风险之间的双向因果关系.
- 使用门德尔随机化 (MR) 来评估这些因果关系.
主要方法:
- 采用了两个样本的双向MR方法.
- 评估了16种OSIB对肺癌亚型 (小细胞肺癌,状细胞癌,腺癌) 和相反的因果作用.
- 遗传数据来源于欧洲人口的大规模全基因组关联研究.
主要成果:
- 较高的白蛋白水平与降低腺癌风险相关 (OR=0.599,P=0.039).
- 单不和脂肪酸的增加与状细胞癌的风险增加有关 (OR=1.742,P=0.019).
- 增加的乳酸盐水平与小细胞肺癌风险积极相关 (OR=4.565,P=0.049).
- 反向MR分析没有表明肺癌对OSIBs的因果作用.
结论:
- OSIB在肺癌风险中发挥着独特的作用.
- 氧化压力是癌症发展的关键因素.
- 需要进一步的研究来验证这些生物标志物的早期检测和预防.
相关概念视频
Cancer Prevention
6.3K
Several factors can increase the risk of cancer in an individual. About 50% of cancer cases can be prevented by adopting a healthy lifestyle, regular exercise, eating healthy, and following a modest cancer prevention diet. Epidemiological studies have consistently shown that populations with vegetable and fruit-rich diets have reduced the incidence of cancer. On the other hand, populations who have a diet rich in animal fat, red meat, junk food, or high calories are predisposed to cancer.
Some...
Some...
6.3K
Chronic Obstructive Pulmonary Disease-II: Pathophysiology
3.1K
Chronic Obstructive Pulmonary Disease (COPD) pathophysiology is intricate and multifaceted, involving a complex interplay of physiological processes. Understanding these mechanisms is crucial for effectively managing and treating COPD. Here is an in-depth look at the critical elements in the pathophysiology of COPD:
Chronic Inflammation
Chronic Inflammation
3.1K
Statistical Methods for Analyzing Epidemiological Data
537
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
537
Causality in Epidemiology
854
Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...
854
Odds Ratio
261
The odds ratio (OR) is a statistical measure used extensively in epidemiology and research to quantify the strength of association between exposure and outcome across different groups. Unlike relative risk, which compares the probabilities of an event occurring, the odds ratio compares the odds of an event occurring in the exposed group to the odds of it occurring in the unexposed group. The odds, in this context, are calculated as the probability of the event happening divided by the...
261
Mutagenicity and Carcinogenicity
1.4K
Mutagenicity and carcinogenicity refer to the ability of drugs to cause genetic defects and induce cancer, respectively. The International Agency for Research on Cancer (IARC) classifies agents into four groups based on their carcinogenic potential. Group 1 agents are known human carcinogens; group 2A agents are probably carcinogenic to humans; group 3 agents lack data to support their role in carcinogenesis; and group 4 includes agents for which data support that they are not likely to be...
1.4K


