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用于常规遗传性癌症检测的综合定制面板设计:保留对照,改善诊断并揭示复杂的变异景观。

A comprehensive custom panel design for routine hereditary cancer testing: preserving control, improving diagnostics and revealing a complex variation landscape.

机构信息

Hereditary Cancer Group, Program on Predictive and Personalized Medicine of Cancer (PMPPC), Germans Trias i Pujol Research Institute (IGTP), Can Ruti Campus, Badalona, Barcelona, Spain.

Hereditary Cancer Program, Joint Program on Hereditary Cancer, Catalan Institute of Oncology, IDIBELL campus in Hospitalet de Llobregat, Catalonia, Spain.

出版信息

Sci Rep. 2017 Jan 4;7:39348. doi: 10.1038/srep39348.

Abstract

We wanted to implement an NGS strategy to globally analyze hereditary cancer with diagnostic quality while retaining the same degree of understanding and control we had in pre-NGS strategies. To do this, we developed the I2HCP panel, a custom bait library covering 122 hereditary cancer genes. We improved bait design, tested different NGS platforms and created a clinically driven custom data analysis pipeline. The I2HCP panel was developed using a training set of hereditary colorectal cancer, hereditary breast and ovarian cancer and neurofibromatosis patients and reached an accuracy, analytical sensitivity and specificity greater than 99%, which was maintained in a validation set. I2HCP changed our diagnostic approach, involving clinicians and a genetic diagnostics team from panel design to reporting. The new strategy improved diagnostic sensitivity, solved uncertain clinical diagnoses and identified mutations in new genes. We assessed the genetic variation in the complete set of hereditary cancer genes, revealing a complex variation landscape that coexists with the disease-causing mutation. We developed, validated and implemented a custom NGS-based strategy for hereditary cancer diagnostics that improved our previous workflows. Additionally, the existence of a rich genetic variation in hereditary cancer genes favors the use of this panel to investigate their role in cancer risk.

摘要

我们希望实施一种 NGS 策略,以具有诊断质量的方式全面分析遗传性癌症,同时保留我们在 NGS 策略之前所具有的相同程度的理解和控制。为此,我们开发了 I2HCP 面板,这是一个覆盖 122 个遗传性癌症基因的定制诱饵库。我们改进了诱饵设计,测试了不同的 NGS 平台,并创建了一个临床驱动的定制数据分析管道。I2HCP 面板是使用遗传性结直肠癌、遗传性乳腺癌和卵巢癌以及神经纤维瘤病患者的训练集开发的,其准确性、分析灵敏度和特异性均大于 99%,在验证集中得到了保持。I2HCP 改变了我们的诊断方法,涉及到从面板设计到报告的临床医生和遗传诊断团队。新策略提高了诊断灵敏度,解决了不确定的临床诊断,并确定了新基因中的突变。我们评估了整套遗传性癌症基因中的遗传变异,揭示了与致病突变共存的复杂变异景观。我们开发、验证和实施了一种基于 NGS 的遗传性癌症诊断的定制策略,改进了我们之前的工作流程。此外,遗传性癌症基因中存在丰富的遗传变异,有利于使用该面板来研究它们在癌症风险中的作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63c5/5209725/dbaedcc6f53f/srep39348-f1.jpg

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