CLIN CHEM:通过错误校正循环肿瘤DNA测序重建超灵敏突变检测和全基因组DNA拷贝数

2018-11-02 MedSci MedSci原创

循环免费DNA测序(cfDNA-Seq)可以描绘癌症基因组结构,对于准确检测通常具有低变异频率的突变,仍需要高灵敏度和特异性技术。 在此,研究人员开发了一种可定制的杂交捕获cfDNA-Seq技术,该技术使用现成的分子条形码和一种新的双链DNA分子鉴定工具用于提高错误校正。 结果显示,基于来自58名患者的cfDNA含量的建模表明,该技术仅需要25ng的cfDNA即可以应用于> 95

循环免费DNA测序(cfDNA-Seq)可以描绘癌症基因组结构,对于准确检测通常具有低变异频率的突变,仍需要高灵敏度和特异性技术。

在此,研究人员开发了一种可定制的杂交捕获cfDNA-Seq技术,该技术使用现成的分子条形码和一种新的双链DNA分子鉴定工具用于提高错误校正。

结果显示,基于来自58名患者的cfDNA含量的建模表明,该技术仅需要25ngcfDNA即可以应用于> 95%的转移性直肠癌mCRC)患者。32-基因的cfDNA-Seq163.3-kbp靶区域检测到100%的单核苷酸变异,在跟踪实验中具有0.15%的变异频率。分子条形码错误纠正将假阳性突变减少了97.5%。在28例连续分析的mCRC患者中,先前通过肿瘤组织测序检测到的91个突变中有80个为cfDNA。点突变和indel的率相似。cfDNA-Seq在活检测序失败或未包括关键mCRC驱动基因的患者中发现典型的mCRC驱动突变。KRAS2例中多个PIK3CA突变的平行进化,以及来源为自克隆性造血的TP53突变。此外,cfDNA-Seq脱靶读取分析可以实现在28个病例中的20个中同时进行全基因组拷贝数分布重建。拷贝数配置文件可通过低覆盖率的全基因组测序验证。

结果表明,这种校正的,超深度cfDNA-Seq技术具有可定制的目标区域和公开可用的生物信息学工具,可以广泛了解癌症基因组和进化。

原始出处:

Sonia Mansukhani, Louise J. Barber, Dimitrios Kleftogiannis, Ultra-Sensitive Mutation Detection and Genome-Wide DNA Copy Number Reconstruction by Error-Corrected Circulating Tumor DNA Sequencing

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    2018-11-03 为你把脉

    陈v股海护航哈哈哈

    0

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    2018-11-02 122b87b4m49(暂无昵称)

    学习一下,谢谢

    0

  8. [GetPortalCommentsPageByObjectIdResponse(id=1784629, encodeId=7b661e8462977, content=<a href='/topic/show?id=bfcb6102f0' target=_blank style='color:#2F92EE;'>#DNA拷贝数#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=28, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=6102, encryptionId=bfcb6102f0, topicName=DNA拷贝数)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=8b3e473, createdName=pyaili, createdTime=Wed Jun 05 00:26:00 CST 2019, time=2019-06-05, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1723012, encodeId=05971e23012bd, content=<a href='/topic/show?id=011f612239' target=_blank style='color:#2F92EE;'>#DNA测序#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=31, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=6122, encryptionId=011f612239, topicName=DNA测序)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=e59f33361990, createdName=marongnuan, createdTime=Thu Nov 29 17:26:00 CST 2018, time=2018-11-29, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1983912, encodeId=90a1198391249, content=<a href='/topic/show?id=3a375629858' target=_blank style='color:#2F92EE;'>#拷贝数#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=26, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=56298, encryptionId=3a375629858, topicName=拷贝数)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=3eaf430, createdName=bsmagic9132, createdTime=Fri Apr 19 10:26:00 CST 2019, time=2019-04-19, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1484866, encodeId=d336148486673, content=<a href='/topic/show?id=35a050454a5' target=_blank style='color:#2F92EE;'>#循环肿瘤DNA#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=31, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=50454, encryptionId=35a050454a5, topicName=循环肿瘤DNA)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=ac107986109, createdName=ms1948154235210413, createdTime=Sun Nov 04 06:26:00 CST 2018, time=2018-11-04, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1546500, encodeId=22d315465007a, content=<a href='/topic/show?id=81eb2939373' target=_blank style='color:#2F92EE;'>#全基因组#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=29, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=29393, encryptionId=81eb2939373, topicName=全基因组)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=dc2113925052, createdName=ms1692810954239974, createdTime=Sun Nov 04 06:26:00 CST 2018, time=2018-11-04, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=351364, encodeId=9b4735136464, content=陈v股海护航哈哈哈, beContent=null, objectType=article, channel=null, level=null, likeNumber=51, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=b0171930782, createdName=为你把脉, createdTime=Sat Nov 03 09:47:08 CST 2018, time=2018-11-03, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=351281, encodeId=260e35128130, content=学习一下,谢谢, beContent=null, objectType=article, channel=null, level=null, likeNumber=64, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=http://thirdwx.qlogo.cn/mmopen/vi_32/nmoH3FVKe8KYYzm5OrpnZastaKg0jKDyvlVBp8RUZUBgynaVPQ86l6DbaqohIM3eIsowIy6V53q5n5mYuyzD6w/132, createdBy=aac72353870, createdName=122b87b4m49(暂无昵称), createdTime=Fri Nov 02 16:11:27 CST 2018, time=2018-11-02, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=351280, encodeId=1ecf3512800f, content=v刚刚好哼哼唧唧, beContent=null, objectType=article, channel=null, level=null, likeNumber=50, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=b0171930782, createdName=为你把脉, createdTime=Fri Nov 02 16:10:38 CST 2018, time=2018-11-02, status=1, ipAttribution=)]
    2018-11-02 为你把脉

    v刚刚好哼哼唧唧

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