Detection of Rare Mutations in CtDNA Using Next Generation Sequencing

被引:17
作者
Lv, Xiaoxing [1 ]
Zhao, Meiru [1 ]
Yi, Yuting [1 ]
Zhang, Lucheng [1 ]
Guan, Yanfang [1 ]
Liu, Tao [1 ]
Yang, Ling [1 ]
Chen, Rongrong [1 ]
Ma, Jianhui [1 ]
Yi, Xin [1 ]
机构
[1] Geneplus Beijing Inst, Beijing, Peoples R China
来源
JOVE-JOURNAL OF VISUALIZED EXPERIMENTS | 2017年 / 126期
关键词
Cancer Biology; Issue; 126; Next Generation Sequencing; cfDNA (Circulating cell free DNA); Rare Mutations; ER-Seq (enrich rare mutation sequencing); baseline database; CIRCULATING TUMOR DNA; CELL LUNG-CANCER; GEFITINIB;
D O I
10.3791/56342
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The analysis of circulating tumor DNA (ctDNA) using next-generation sequencing (NGS) has become a valuable tool for the development of clinical oncology. However, the application of this method is challenging due to its low sensitivity in analyzing the trace amount of ctDNA in the blood. Furthermore, the method may generate false positive and negative results from this sequencing and subsequent analysis. To improve the feasibility and reliability of ctDNA detection in the clinic, here we present a technique which enriches rare mutations for sequencing, Enrich Rare Mutation Sequencing (ER-Seq). ER-Seq can distinguish a single mutation out of 1 x 10(7) wild-type nucleotides, which makes it a promising tool to detect extremely low frequency genetic alterations and thus will be very useful in studying disease heterogenicity. By virtue of the unique sequencing adapter's ligation, this method enables an efficient recovery of ctDNA molecules, while at the same time correcting for errors bidirectionally (sense and antisense). Our selection of 1021 kb probes enriches the measurement of target regions that cover over 95% of the tumor-related driver mutations in 12 tumors. This cost-effective and universal method enables a uniquely successful accumulation of genetic data. After efficiently filtering out background error, ER-seq can precisely detect rare mutations. Using a case study, we present a detailed protocol demonstrating probe design, library construction, and target DNA capture methodologies, while also including the data analysis workflow. The process to carry out this method typically takes 1-2 days.
引用
收藏
页数:8
相关论文
共 21 条
  • [11] High-fidelity target sequencing of individual molecules identified using barcode sequences: de novo detection and absolute quantitation of mutations in plasma cell-free DNA from cancer patients
    Kukita, Yoji
    Matoba, Ryo
    Uchida, Junji
    Hamakawa, Takuya
    Doki, Yuichiro
    Imamura, Fumio
    Kato, Kikuya
    [J]. DNA RESEARCH, 2015, 22 (04) : 269 - 277
  • [12] Development of Personalized Tumor Biomarkers Using Massively Parallel Sequencing
    Leary, Rebecca J.
    Kinde, Isaac
    Diehl, Frank
    Schmidt, Kerstin
    Clouser, Chris
    Duncan, Cisilya
    Antipova, Alena
    Lee, Clarence
    McKernan, Kevin
    De la Vega, Francisco M.
    Kinzler, Kenneth W.
    Vogelstein, Bert
    Diaz, Luis A., Jr.
    Velculescu, Victor E.
    [J]. SCIENCE TRANSLATIONAL MEDICINE, 2010, 2 (20) : 20ra14
  • [13] Fast and accurate short read alignment with Burrows-Wheeler transform
    Li, Heng
    Durbin, Richard
    [J]. BIOINFORMATICS, 2009, 25 (14) : 1754 - 1760
  • [14] Integrated digital error suppression for improved detection of circulating tumor DNA
    Newman, Aaron M.
    Lovejoy, Alexander F.
    Klass, Daniel M.
    Kurtz, David M.
    Chabon, Jacob J.
    Scherer, Florian
    Stehr, Henning
    Liu, Chih Long
    Bratman, Scott V.
    Say, Carmen
    Zhou, Li
    Carter, Justin N.
    West, Robert B.
    Sledge, George W., Jr.
    Shrager, Joseph B.
    Loo, Billy W., Jr.
    Neal, Joel W.
    Wakelee, Heather A.
    Diehn, Maximilian
    Alizadeh, Ash A.
    [J]. NATURE BIOTECHNOLOGY, 2016, 34 (05) : 547 - 555
  • [15] An ultrasensitive method for quantitating circulating tumor DNA with broad patient coverage
    Newman, Aaron M.
    Bratman, Scott V.
    To, Jacqueline
    Wynne, Jacob F.
    Eclov, Neville C. W.
    Modlin, Leslie A.
    Liu, Chih Long
    Neal, Joel W.
    Wakelee, Heather A.
    Merritt, Robert E.
    Shrager, Joseph B.
    Loo, Billy W., Jr.
    Alizadeh, Ash A.
    Diehn, Maximilian
    [J]. NATURE MEDICINE, 2014, 20 (05) : 552 - 558
  • [16] Schmitt MW, 2015, NAT METHODS, V12, P423, DOI [10.1038/nmeth.3351, 10.1038/NMETH.3351]
  • [17] Detection of ultra-rare mutations by next-generation sequencing
    Schmitt, Michael W.
    Kennedy, Scott R.
    Salk, Jesse J.
    Fox, Edward J.
    Hiatt, Joseph B.
    Loeb, Lawrence A.
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2012, 109 (36) : 14508 - 14513
  • [18] Next-generation DNA sequencing
    Shendure, Jay
    Ji, Hanlee
    [J]. NATURE BIOTECHNOLOGY, 2008, 26 (10) : 1135 - 1145
  • [19] A Platform for Rapid Detection of Multiple Oncogenic Mutations With Relevance to Targeted Therapy in Non-Small-Cell Lung Cancer
    Su, Zengliu
    Dias-Santagata, Dora
    Duke, MarKeesa
    Hutchinson, Katherine
    Lin, Ya-Lun
    Borger, Darrell R.
    Chung, Christine H.
    Massion, Pierre P.
    Vnencak-Jones, Cindy L.
    Lafrate, A. John
    Pao, William
    [J]. JOURNAL OF MOLECULAR DIAGNOSTICS, 2011, 13 (01) : 74 - 84
  • [20] Quantitative Detection of EGFR Mutations in Circulating Tumor DNA Derived from Lung Adenocarcinomas
    Taniguchi, Kazuya
    Uchida, Junji
    Nishino, Kazumi
    Kumagai, Toru
    Okuyama, Takako
    Okami, Jiro
    Higashiyama, Masahiko
    Kodama, Ken
    Imamura, Fumio
    Kato, Kikuya
    [J]. CLINICAL CANCER RESEARCH, 2011, 17 (24) : 7808 - 7815