Development of personalized tumor biomarkers using massively parallel sequencing.
Development of personalized tumor biomarkers using massively parallel sequencing.
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DOI：
10.1126/scitranslmed.3000702
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发表时间：
2010-02-24
影响因子：
17.1
通讯作者：
Velculescu VE
中科院分区：
文献类型：
--
作者：
Leary RJ;Kinde I;Diehl F;Schmidt K;Clouser C;Duncan C;Antipova A;Lee C;McKernan K;De La Vega FM;Kinzler KW;Vogelstein B;Diaz LA Jr;Velculescu VE
人类癌症的临床管理取决于对残留和复发肿瘤的准确监测。对白血病和淋巴瘤患者特异性易位的评估彻底改变了这些疾病的诊断方法。我们开发了一种称为重排末端个性化分析（PARE）的方法，可以识别实体瘤中的易位。通过大规模并行测序对四种结直肠癌和两种乳腺癌进行的分析显示，每个肿瘤平均有 9 个重排序列（范围为 4 至 15 个）。使用跨越断点的引物进行聚合酶链反应能够检测到含量低于 0.001% 的突变 DNA 分子，并轻松识别患者血浆样本中的突变循环 DNA。该方法为个性化生物标志物的开发提供了一种极其敏感且广泛适用的方法，以增强癌症患者的临床管理。
Clinical management of human cancer is dependent on the accurate monitoring of residual and recurrent tumors. The evaluation of patient-specific translocations in leukemias and lymphomas has revolutionized diagnostics for these diseases. We have developed a method, called personalized analysis of rearranged ends (PARE), which can identify translocations in solid tumors. Analysis of four colorectal and two breast cancers with massively parallel sequencing revealed an average of nine rearranged sequences (range, 4 to 15) per tumor. Polymerase chain reaction with primers spanning the breakpoints was able to detect mutant DNA molecules present at levels lower than 0.001% and readily identified mutated circulating DNA in patient plasma samples. This approach provides an exquisitely sensitive and broadly applicable approach for the development of personalized biomarkers to enhance the clinical management of cancer patients.
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影响因子：
56.9
作者：
Shendure, J;Porreca, GJ;Church, GM
通讯作者：
Church, GM
影响因子：
45.3
作者：
Grimwade, David;Jovanovic, Jelena V.;Burnett, Alan K.
通讯作者：
Burnett, Alan K.
影响因子：
30.8
作者：
Campbell, Peter J.;Stephens, Philip J.;Pleasance, Erin D.;O'Meara, Sarah;Li, Heng;Santarius, Thomas;Stebbings, Lucy A.;Leroy, Catherine;Edkins, Sarah;Hardy, Claire;Teague, Jon W.;Menzies, Andrew;Goodhead, Ian;Turner, Daniel J.;Clee, Christopher M.;Quail, Michael A.;Cox, Antony;Brown, Clive;Durbin, Richard;Hurles, Matthew E.;Edwards, Paul A. W.;Bignell, Graham R.;Stratton, Michael R.;Futreal, P. Andrew
通讯作者：
Futreal, P. Andrew
影响因子：
3.6
作者：
Nakayama, Kentaro;Nakayama, Naomi;Wang, Tian-Li
通讯作者：
Wang, Tian-Li
DOI：
10.1073/pnas.0808041105
发表时间：
2008-10-21
影响因子：
11.1
作者：
Leary, Rebecca J.;Lin, Jimmy C.;Velculescu, Victor E.
通讯作者：
Velculescu, Victor E.