Sequential versus massively parallel strategies for molecular characterization of non-small cell lung cancer samples obtained by endobronchial ultrasound-guided transbronchial needle aspiration

医学 肺癌 支气管内超声 回顾性队列研究 肿瘤科 内科学 放射科
作者
Luís Vaz Rodrigues,M. Viegas,Ana Ladeirinha,Ana Alarcão,Luís Taborda‐Barata,Rosa Cordovilla,Vítor Sousa
出处
期刊:Jornal Brasileiro De Pneumologia [Sociedade Brasileira de Pneumologia e Tisiologia]
卷期号:: e20250039-e20250039
标识
DOI:10.36416/1806-3756/e20250039
摘要

Objectives: The advent of massively parallel next-generation sequencing (MP-NGS) offers potential advantages over sequential molecular profiling (SMP) in the management of non-small cell lung cancer (NSCLC). This study compares the two methodologies using samples obtained through endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA), focusing on actionable mutation detection, turnaround time (TAT), and clinical outcomes. Methods: A retrospective analysis was conducted on NSCLC patients who underwent EBUS-TBNA and molecular characterization between January 2020 and December 2023. SMP and MP-NGS were compared in terms of actionable mutation detection rates, TAT, and impact on overall survival (OS). Results: Among 106 patients, MP-NGS demonstrated a significantly higher detection rate of actionable mutations compared to SMP (40.9% vs. 22.2%, p=0.042). The median TAT was slightly shorter with SMP than with externally outsourced MP-NGS (17 days vs. 23 days, p=0.076). Patients diagnosed via MP-NGS were more frequently allocated to targeted therapies (44.26% vs. 22.2%, p=0.038), which may have positively influenced overall survival (672 days vs. 138 days, p=0.053). Conclusion: MP-NGS provided superior diagnostic and clinical advantages over SMP in NSCLC, supporting its adoption as a standard diagnostic approach to enhance personalized therapy and improve patient outcomes.
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
和谐雪曼完成签到,获得积分10
刚刚
洺全完成签到,获得积分10
刚刚
不会取名字完成签到 ,获得积分10
1秒前
aaa完成签到,获得积分10
1秒前
奶花泡芙完成签到,获得积分10
1秒前
jadexu完成签到,获得积分10
2秒前
123456发布了新的文献求助10
2秒前
研友_VZG7GZ应助落后迎梦采纳,获得10
2秒前
眼睛大的向薇完成签到,获得积分10
3秒前
霸气的念云完成签到,获得积分10
3秒前
18132010659关注了科研通微信公众号
3秒前
xwwwww发布了新的文献求助10
3秒前
海燕完成签到 ,获得积分10
3秒前
Apricity完成签到,获得积分10
3秒前
艾云欣发布了新的文献求助10
3秒前
枫枫不是峰完成签到,获得积分10
4秒前
4秒前
hhh涵完成签到,获得积分10
4秒前
犹豫的世倌完成签到,获得积分10
4秒前
维尼完成签到,获得积分10
4秒前
4秒前
陈艳林完成签到,获得积分10
5秒前
历冰雪完成签到,获得积分10
5秒前
5秒前
5秒前
优雅的东完成签到,获得积分10
5秒前
大美女完成签到 ,获得积分20
5秒前
vimeid完成签到,获得积分10
6秒前
11完成签到,获得积分10
6秒前
o992891完成签到 ,获得积分10
6秒前
wys完成签到,获得积分20
6秒前
愉快的魔猴桃完成签到,获得积分10
7秒前
傲娇雅蕊完成签到 ,获得积分10
7秒前
简单的不平完成签到,获得积分10
7秒前
8R60d8应助Robin_Tao采纳,获得10
8秒前
heekkll应助夏天冷采纳,获得10
8秒前
大模型应助眼睛大的向薇采纳,获得10
8秒前
Dreamchaser完成签到,获得积分10
8秒前
8秒前
9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
Principles of town planning: translating concepts to applications 1000
Navigating Normative Orders. Interdisciplinary Perspectives 800
1 Peter and Christ's Descent to the Dead in Its Early Christian Reception 700
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7739235
求助须知:如何正确求助?哪些是违规求助? 9288144
关于积分的说明 20187648
捐赠科研通 7317408
什么是DOI,文献DOI怎么找? 3306091
关于科研通互助平台的介绍 2458554
邀请新用户注册赠送积分活动 2315999