相关实验视频

Updated: Jul 11, 2025

Establishing Dual Resistance to EGFR-TKI and MET-TKI in Lung Adenocarcinoma Cells In Vitro with a 2-step Dose-escalation Procedure

Establishing Dual Resistance to EGFR-TKI and MET-TKI in Lung Adenocarcinoma Cells In Vitro with a 2-step Dose-escalation Procedure

Published on: August 11, 2017

在患有非小细胞肺癌的患者中,吸烟史,代谢表型和EGFR突变状态之间的关联

Xiaohui Zhang¹, Xiuyu Guo¹, Qiaoling Gao¹

¹Department of Radiology, Ningbo No.2 Hospital, Ningbo, China.

Journal of thoracic disease

|November 16, 2023

概括

吸烟与较低的表皮生长因子受体 (EGFR) 突变和非小细胞肺癌 (NSCLC) 中较高的瘤代谢有关. 这表明吸烟会影响EGFR状态和瘤特征,有助于临床决策.

科学领域:

在瘤学瘤学.
放射学放射学是一门学科.
遗传学是一个遗传学.

背景情况:

吸烟显著影响代谢表型和表皮生长因子受体 (EGFR) 突变状态.
在非小细胞肺癌 (NSCLC) 中,吸烟,代谢表型和EGFR突变状态之间的准确相关性需要进一步阐明.

研究的目的:

在NSCLC患者中调查吸烟史,代谢表型和EGFR突变状态之间的关联.
为了确定吸烟是否影响瘤代谢活动和EGFR突变患病率.

主要方法:

对198名接受18F-FDG PET/CT和EGFR突变检测的NSCLC患者的回顾性分析.
评估代谢表型 (pSUVmax,nSUVmax,mSUVmax) 并根据吸烟史对患者进行分类 (从未吸烟者与吸烟者).
评估吸烟状态,代谢参数和EGFR突变状态之间的相关性.

主要成果:

在吸烟者 (23.4%) 中,EGFR突变的发生率较为低,相比于从未吸烟者 (60.3%) (P<0.001).
与EGFR野生型 (WT) 瘤相比,EGFR突变NSCLC表现出较低的原发性瘤SUVmax (pSUVmax) (P<0.001).
吸烟者比从未吸烟者显示出更高的psuvmax (p=0.004),增加的psuvmax与累计吸烟剂量相关 (r=0.198,p=0.005).

结论:

吸烟可能有助于增加瘤代谢 (pSUVmax) 和减少NSCLC的EGFR突变.
EGFR突变与低PSUVmax相关,可能指导临床风险分层和治疗选择.
这些发现突出了吸烟,瘤代谢和EGFR状态在NSCLC管理中的相互作用.

关键词:

18F-二-脱氧-D-葡萄糖 (18F-FDG) 是一种18F-二-脱氧-D-葡萄糖.吸烟状态吸烟状态皮肤上生长因子受体 (EGFR)非小细胞肺癌 (NSCLC) 是一种非小细胞肺癌.

更多相关视频

Next Generation Sequencing for the Detection of Actionable Mutations in Solid and Liquid Tumors

Next Generation Sequencing for the Detection of Actionable Mutations in Solid and Liquid Tumors

Published on: September 20, 2016

Utilizing 18F-FDG PET/CT Imaging and Quantitative Histology to Measure Dynamic Changes in the Glucose Metabolism in Mouse Models of Lung Cancer

Utilizing 18F-FDG PET/CT Imaging and Quantitative Histology to Measure Dynamic Changes in the Glucose Metabolism in Mouse Models of Lung Cancer

Published on: July 21, 2018

相关概念视频

Statistical Methods for Analyzing Epidemiological Data

Statistical Methods for Analyzing Epidemiological Data

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:

Cancer Prevention

Cancer Prevention

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...