Mutation tracking in circulating tumor DNA predicts relapse in early breast cancer

乳腺癌 医学 肿瘤科 内科学 循环肿瘤DNA 突变 癌症研究 癌症 遗传学 生物 基因
作者
Isaac García-Murillas,Gaia Schiavon,Britta Weigelt,Charlotte K.Y. Ng,Sarah Hrebien,Rosalind Cutts,Maggie C.U. Cheang,Peter Osin,Ashutosh Nerurkar,Iwanka Kozarewa,Javier Armisen Garrido,Mitch Dowsett,Jorge S. Reis‐Filho,Ian E. Smith,Nicholas C. Turner
出处
期刊:Science Translational Medicine [American Association for the Advancement of Science]
卷期号:7 (302): 302ra133-302ra133 被引量:1122
标识
DOI:10.1126/scitranslmed.aab0021
摘要

The identification of early-stage breast cancer patients at high risk of relapse would allow tailoring of adjuvant therapy approaches. We assessed whether analysis of circulating tumor DNA (ctDNA) in plasma can be used to monitor for minimal residual disease (MRD) in breast cancer. In a prospective cohort of 55 early breast cancer patients receiving neoadjuvant chemotherapy, detection of ctDNA in plasma after completion of apparently curative treatment-either at a single postsurgical time point or with serial follow-up plasma samples-predicted metastatic relapse with high accuracy [hazard ratio, 25.1 (confidence interval, 4.08 to 130.5; log-rank P < 0.0001) or 12.0 (confidence interval, 3.36 to 43.07; log-rank P < 0.0001), respectively]. Mutation tracking in serial samples increased sensitivity for the prediction of relapse, with a median lead time of 7.9 months over clinical relapse. We further demonstrated that targeted capture sequencing analysis of ctDNA could define the genetic events of MRD, and that MRD sequencing predicted the genetic events of the subsequent metastatic relapse more accurately than sequencing of the primary cancer. Mutation tracking can therefore identify early breast cancer patients at high risk of relapse. Subsequent adjuvant therapeutic interventions could be tailored to the genetic events present in the MRD, a therapeutic approach that could in part combat the challenge posed by intratumor genetic heterogeneity.
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
刚刚
灯灯应助月月采纳,获得10
1秒前
ZHOU完成签到,获得积分10
1秒前
Sharif318完成签到,获得积分10
1秒前
迪奥发布了新的文献求助10
1秒前
1秒前
JamesPei应助滴滴答答采纳,获得10
2秒前
所所应助一叶扁舟采纳,获得10
3秒前
Lucas应助何88888888采纳,获得10
4秒前
4秒前
QIAN.发布了新的文献求助10
5秒前
Inevitable发布了新的文献求助100
5秒前
5秒前
科研菜鸡发布了新的文献求助10
5秒前
skearthy应助Annie采纳,获得30
5秒前
6秒前
6秒前
虚幻玉米发布了新的文献求助20
7秒前
李健的小迷弟应助qq采纳,获得10
8秒前
susan发布了新的文献求助10
8秒前
iv3e完成签到 ,获得积分10
8秒前
zx发布了新的文献求助10
9秒前
Layla完成签到,获得积分10
9秒前
洛黎发布了新的文献求助10
9秒前
zzh发布了新的文献求助10
11秒前
11秒前
11秒前
11秒前
12秒前
shine完成签到,获得积分10
13秒前
SciGPT应助HandsomeBoy采纳,获得10
14秒前
神勇映雁完成签到,获得积分10
14秒前
jyy完成签到,获得积分10
14秒前
张丽媛完成签到,获得积分10
14秒前
聪明城发布了新的文献求助10
15秒前
Orange应助bill采纳,获得10
15秒前
见路不走发布了新的文献求助10
16秒前
FashionBoy应助Inevitable采纳,获得10
16秒前
九九发布了新的文献求助10
17秒前
何88888888发布了新的文献求助10
17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
The anomeric effect 1000
Principles of town planning: translating concepts to applications 1000
1 Peter and Christ's Descent to the Dead in Its Early Christian Reception 700
Nature-Inspired Computing: Concepts, Methodologies, Tools, and Applications 600
Perfectionism in School 600
Organizational Behavior 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 7730278
求助须知:如何正确求助?哪些是违规求助? 9282114
关于积分的说明 20147900
捐赠科研通 7307873
什么是DOI,文献DOI怎么找? 3303445
关于科研通互助平台的介绍 2456279
邀请新用户注册赠送积分活动 2311883