MAESTRO-Pool Enables Highly Parallel and Specific Mutation-Enrichment Sequencing for Minimal Residual Disease Detection in Cohort Studies

残余物 突变 计算生物学 DNA测序 遗传学 生物 医学 计算机科学 基因 算法
作者
Timothy Blewett,Justin Rhoades,Ruolin Liu,Kan Xiong,Sainetra Sridhar,Andjela Crnjac,Ju Cheng,Aleigha Lawless,Dennie T. Frederick,Keith T. Flaherty,G. Mike Makrigiorgos,Viktor A. Adalsteinsson
出处
期刊:Clinical Chemistry [Oxford University Press]
卷期号:70 (2): 434-443 被引量:2
标识
DOI:10.1093/clinchem/hvad203
摘要

Tracing patient-specific tumor mutations in cell-free DNA (cfDNA) for minimal residual disease (MRD) detection is promising but challenging. Assaying more mutations and cfDNA stands to improve MRD detection but requires highly accurate, efficient sequencing methods and proper calibration to prevent false detection with bespoke tests.MAESTRO (Minor Allele Enriched Sequencing Through Recognition Oligonucleotides) uses mutation-specific oligonucleotide probes to enrich cfDNA libraries for tumor mutations and enable their accurate detection with minimal sequencing. A new approach, MAESTRO-Pool, which entails pooling MAESTRO probes for all patients and applying these to all samples from all patients, was used to screen for 22 333 tumor mutations from 9 melanoma patients in 98 plasma samples. This enabled quantification of MRD detection in patient-matched samples and false detection in unmatched samples from other patients. To detect MRD, a new dynamic MRD caller was used that computes a probability for MRD detection based on the number of mutations and cfDNA molecules sequenced, thereby calibrating for variations in each bespoke test.MAESTRO-Pool enabled sensitive detection of MRD down to 0.78 parts per million (ppm), reflecting a 10- to 100-fold improvement over existing tests. Of the 8 MRD positive samples with ultra-low tumor fractions <10 ppm, 7 were either in upward-trend preceding recurrence or downward-trend aligning with response. Of 784 patient-unmatched tests, only one was found as MRD positive (tumor fraction = 2.7 ppm), suggesting high specificity.MAESTRO-Pool enables massively parallel, tumor-informed MRD testing with concurrent benchmarking of bespoke MRD tests. Meanwhile, our new MRD caller enables more mutations and cfDNA molecules to be tested without compromising specificity. These improve the ability for detecting traces of MRD from blood.

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
玛利隆完成签到,获得积分10
刚刚
褚人达完成签到,获得积分10
刚刚
华仔应助FceEar采纳,获得10
1秒前
FashionBoy应助迟迟采纳,获得10
1秒前
Lucas应助az采纳,获得10
1秒前
小马甲应助aa采纳,获得10
1秒前
火日立发布了新的文献求助10
1秒前
优秀绮彤完成签到,获得积分10
1秒前
醉月汀完成签到,获得积分10
1秒前
俊秀的念烟完成签到,获得积分10
2秒前
鹏哥爱科研完成签到,获得积分10
2秒前
2秒前
chaojia_niu完成签到,获得积分10
2秒前
2秒前
3秒前
Shan完成签到 ,获得积分10
3秒前
允怡完成签到,获得积分20
3秒前
自然的书南完成签到,获得积分10
3秒前
4秒前
宓夜蓉完成签到,获得积分10
4秒前
ss发布了新的文献求助10
4秒前
苗苗鱼发布了新的文献求助10
5秒前
天际线完成签到,获得积分20
5秒前
深情安青应助sylnd126采纳,获得10
5秒前
澈千子完成签到,获得积分10
5秒前
5秒前
赵大炮发布了新的文献求助10
6秒前
uiwh发布了新的文献求助10
6秒前
Yang发布了新的文献求助10
6秒前
烟花应助服部平次采纳,获得10
6秒前
7秒前
7秒前
7秒前
852应助daifei采纳,获得10
7秒前
vadfdfb发布了新的文献求助10
7秒前
科研通AI5应助等待的太阳采纳,获得10
7秒前
聪慧的千亦完成签到,获得积分10
7秒前
yyx发布了新的文献求助10
8秒前
8秒前
Orange应助熬夜的桃子采纳,获得10
8秒前
高分求助中
Continuum thermodynamics and material modelling 3000
Production Logging: Theoretical and Interpretive Elements 2500
Healthcare Finance: Modern Financial Analysis for Accelerating Biomedical Innovation 2000
Applications of Emerging Nanomaterials and Nanotechnology 1111
Covalent Organic Frameworks 1000
Les Mantodea de Guyane Insecta, Polyneoptera 1000
Theory of Block Polymer Self-Assembly 750
热门求助领域 (近24小时)
化学 医学 材料科学 生物 工程类 有机化学 生物化学 纳米技术 内科学 物理 化学工程 计算机科学 复合材料 基因 遗传学 物理化学 催化作用 细胞生物学 免疫学 电极
热门帖子
关注 科研通微信公众号,转发送积分 3481399
求助须知:如何正确求助?哪些是违规求助? 3071505
关于积分的说明 9122297
捐赠科研通 2763255
什么是DOI,文献DOI怎么找? 1516352
邀请新用户注册赠送积分活动 701541
科研通“疑难数据库(出版商)”最低求助积分说明 700339