Treatment sequences in EGFR mutant advanced NSCLC

医学 突变体 肿瘤科 计算生物学 癌症研究 内科学 遗传学 生物 基因
作者
Mylène Wespiser,Aurélie Swalduz,M. Pérol
出处
期刊:Lung Cancer [Elsevier BV]
卷期号:194: 107895-107895 被引量:7
标识
DOI:10.1016/j.lungcan.2024.107895
摘要

Common EGFR gene mutations (exon 19 deletion and L858R in exon 21) are the most frequent cause of actionable genomic alterations in non-small cell lung cancer (NSCLC) patients. The introduction of EGFR tyrosine kinase inhibitors (TKIs) as 1st-line treatment of advanced stages of the disease has changed the natural history of the disease and extended survival rates, establishing third generation TKIs as a new standard of frontline treatment. Nonetheless, the prolongation of overall survival remains modest, as multiple escape pathways and tumor increasing heterogeneity inevitably develop over time. Several strategies are currently developed to improve these patients' outcome: prevent the emergence of resistance mechanisms by therapeutic combinations introduced from the first line, act on the residual disease at the time of maximum response to 1st line treatment, develop therapeutic strategies at the time of acquired resistance to TKIs, either dependent on the resistance mechanisms, or agnostic of the resistance pathways. Recent advancements in treatment combinations have shown promising results in prolonging progression-free survival, but often at the cost of more severe side effects in comparison with the current standard of care. These emerging new treatment options open up possibilities for diverse therapeutic sequences in the management of advanced NSCLC depending on common EGFR mutations. The impact on the disease natural history, the patients' survival and quality of life is not yet fully understood. In this review, we propose an overview of published and forthcoming advances, and a management algorithm considering the different first-line options, integrating the clinical and biological parameters that are critical to clinicians' decision-making process.
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
痕迹发布了新的文献求助10
刚刚
Lilies完成签到 ,获得积分10
刚刚
刚刚
LC发布了新的文献求助10
1秒前
朱宣诚发布了新的文献求助10
1秒前
1秒前
源来是洲董完成签到,获得积分10
1秒前
1秒前
HUYAOWEI发布了新的文献求助10
2秒前
00完成签到,获得积分10
2秒前
3秒前
搞科研发布了新的文献求助10
4秒前
科研通AI6.1应助雪白冰之采纳,获得10
4秒前
4秒前
tachikoma完成签到,获得积分10
4秒前
科研通AI6.1应助冯xl采纳,获得10
4秒前
有点儿小脾气完成签到,获得积分10
4秒前
shishuang发布了新的文献求助10
5秒前
1111发布了新的文献求助10
5秒前
5秒前
科研发布了新的文献求助10
5秒前
5秒前
5秒前
张逍遥完成签到,获得积分10
6秒前
光储一体化完成签到,获得积分10
6秒前
乐观蚂蚁发布了新的文献求助10
6秒前
6秒前
SciGPT应助爱就跟我走采纳,获得10
6秒前
清茶韵心发布了新的文献求助10
7秒前
yeaonaiwohe发布了新的文献求助10
7秒前
dsf完成签到,获得积分10
7秒前
王m完成签到 ,获得积分10
8秒前
8秒前
1111完成签到,获得积分10
8秒前
强哥完成签到,获得积分10
8秒前
9秒前
9秒前
Verdurie完成签到,获得积分10
9秒前
Tourbillon发布了新的文献求助30
9秒前
西子完成签到,获得积分10
10秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Burger's Medicinal Chemistry, Drug Discovery and Development, Volumes 1 - 8, 8 Volume Set, 8th Edition 1800
Cronologia da história de Macau 1600
Contemporary Debates in Epistemology (3rd Edition) 1000
International Arbitration Law and Practice 1000
文献PREDICTION EQUATIONS FOR SHIPS' TURNING CIRCLES或期刊Transactions of the North East Coast Institution of Engineers and Shipbuilders第95卷 1000
BRITTLE FRACTURE IN WELDED SHIPS 1000
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 纳米技术 计算机科学 化学工程 生物化学 物理 复合材料 内科学 催化作用 物理化学 光电子学 细胞生物学 基因 电极 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 6161371
求助须知:如何正确求助?哪些是违规求助? 7989468
关于积分的说明 16608627
捐赠科研通 5269483
什么是DOI,文献DOI怎么找? 2811461
邀请新用户注册赠送积分活动 1791478
关于科研通互助平台的介绍 1658265